This is a table of named entities, their types, and their frequencies from sentences in your study carrel. Use it to search & browse the list to learn more about your study carrel. Please keep in mind that named-entity extraction is not as accurate as more generic parts-of-speech extraction. Unusual results will appear here.
entity | type | frequency |
---|---|---|
covid | ORG | 568 |
individuals | TAXON | 547 |
infection | DISEASE | 462 |
covid 19 | ORG | 295 |
leprosy | DISEASE | 286 |
app | ORG | 284 |
infections | DISEASE | 278 |
virus | TAXON | 212 |
infectious | DISEASE | 159 |
human | TAXON | 155 |
coronavirus | TAXON | 116 |
sdr | ORG | 115 |
cc | CHEMICAL | 113 |
cta | ORG | 112 |
infectious disease | DISEASE | 99 |
uk | GPE | 99 |
china | GPE | 98 |
sars | DISEASE | 95 |
infectious diseases | DISEASE | 93 |
bcg | ORG | 79 |
outbreaks | TAXON | 68 |
deaths | DISEASE | 67 |
ble | CHEMICAL | 64 |
sars cov 2 | ORG | 59 |
death | DISEASE | 55 |
coronavirus | TAXON | 55 |
pep | ORG | 48 |
mac | ORG | 48 |
kenya | GPE | 48 |
hiv | TAXON | 48 |
ap | ORG | 47 |
apple | ORG | 46 |
us | GPE | 46 |
italy | GPE | 45 |
cov | CHEMICAL | 45 |
rifampicin | CHEMICAL | 43 |
sdr pep | ORG | 43 |
human | TAXON | 43 |
leprosy | ORG | 40 |
cdc | ORG | 40 |
wuhan | GPE | 39 |
singapore | GPE | 39 |
aact | ORG | 38 |
rfid | ORG | 38 |
south korea | GPE | 37 |
rss | ORG | 35 |
india | GPE | 35 |
tuberculosis | DISEASE | 34 |
polymod | ORG | 34 |
mycobacterium | TAXON | 34 |
gcg | ORG | 32 |
bbc | ORG | 31 |
gesundheitsamt | LOC | 31 |
wcsi | ORG | 31 |
bias | CHEMICAL | 31 |
the united states | GPE | 30 |
n w | ORG | 30 |
journal | ORG | 28 |
coronavirus disease | DISEASE | 28 |
rt | ORG | 26 |
rssi | ORG | 26 |
epidemic | DISEASE | 26 |
digital | ORG | 25 |
germany | GPE | 25 |
ORG | 25 | |
nodes | CHEMICAL | 25 |
netherlands | GPE | 24 |
h1n1 | GPE | 24 |
humans | TAXON | 23 |
nd 4 0 international license it | CHEMICAL | 23 |
id | DISEASE | 23 |
europe | LOC | 23 |
android | PERSON | 23 |
csi | ORG | 22 |
cm | ORG | 22 |
spain | GPE | 22 |
k | CHEMICAL | 22 |
sydney | GPE | 22 |
washington | GPE | 21 |
iqr | ORG | 21 |
amino acids | CHEMICAL | 20 |
fem | ORG | 20 |
gps | ORG | 19 |
ci | ORG | 19 |
wi fi | PERSON | 18 |
viral | TAXON | 17 |
wifi | ORG | 17 |
kolkata | GPE | 17 |
hcw | ORG | 17 |
ncov | ORG | 17 |
tb | ORG | 16 |
seir | ORG | 16 |
ed | ORG | 16 |
individuals | TAXON | 15 |
adp | ORG | 15 |
ai | GPE | 15 |
who | ORG | 15 |
human contact | TAXON | 15 |
contagion | DISEASE | 14 |
ppe | CHEMICAL | 14 |
nhs | ORG | 14 |
eu | ORG | 14 |
australia | GPE | 14 |
adm | ORG | 14 |
social | ORG | 13 |
luxembourg | GPE | 13 |
nur | ORG | 13 |
mdt | ORG | 13 |
wi | PERSON | 13 |
dapsone | CHEMICAL | 13 |
secondary infections | DISEASE | 13 |
fever | DISEASE | 12 |
coronavirus covid | DISEASE | 12 |
virus | TAXON | 12 |
usa | GPE | 12 |
li | PERSON | 12 |
lr | PERSON | 12 |
lpep | ORG | 12 |
dt | GPE | 12 |
nic | ORG | 11 |
africa | LOC | 11 |
los | DISEASE | 11 |
new zealand | GPE | 11 |
oc | ORG | 11 |
leprae | TAXON | 11 |
nyc | ORG | 10 |
1stq | CHEMICAL | 10 |
cmb | ORG | 10 |
coronavirus covid | DISEASE | 10 |
dor | ORG | 10 |
ebola virus | TAXON | 10 |
ebola virus disease | DISEASE | 10 |
factsheet | ORG | 10 |
hong kong | GPE | 10 |
upload | CHEMICAL | 10 |
nairobi | GPE | 10 |
scm | ORG | 10 |
u s | ORG | 10 |
al 2020 | PERSON | 10 |
bacteria | TAXON | 10 |
labor | DISEASE | 10 |
viruses | TAXON | 10 |
µct | GPE | 10 |
norway | GPE | 10 |
mers | DISEASE | 9 |
appendix | GPE | 9 |
bluetooth low energy ble | ORG | 9 |
brazil | GPE | 9 |
ferretti | GPE | 9 |
indonesia | GPE | 9 |
france | GPE | 9 |
sars cov | ORG | 9 |
avian | TAXON | 9 |
failure | DISEASE | 9 |
respiratory disease | DISEASE | 9 |
the u s | GPE | 9 |
tracetogether | ORG | 9 |
covid19 | ORG | 8 |
dph | ORG | 8 |
doi | ORG | 8 |
dasv | GPE | 8 |
coronavirus contact | TAXON | 8 |
ave | ORG | 8 |
colep | ORG | 8 |
bn | ORG | 8 |
aids | DISEASE | 8 |
aeo | ORG | 8 |
factsheets | ORG | 8 |
fdd | ORG | 8 |
uml | ORG | 8 |
ha | ORG | 8 |
anxiety | DISEASE | 8 |
ili | ORG | 8 |
panic | DISEASE | 8 |
malaria | TAXON | 8 |
human body | TAXON | 8 |
influenza a h1n1 2009 | DISEASE | 8 |
respiratory infections | DISEASE | 8 |
taiwan | GPE | 8 |
med | ORG | 8 |
ltcf | ORG | 8 |
ep | CHEMICAL | 7 |
kcdc | ORG | 7 |
intel | ORG | 7 |
influenza | PERSON | 7 |
hekmati | PERSON | 7 |
ebola | TAXON | 7 |
aarogya | CHEMICAL | 7 |
dl | CHEMICAL | 7 |
coronavirus disease | DISEASE | 7 |
coronavirus disease | DISEASE | 7 |
bernoulli | ORG | 7 |
ml | ORG | 7 |
lepvax | ORG | 7 |
lazarus | PERSON | 7 |
mph | ORG | 7 |
tcn | CHEMICAL | 7 |
mobile | GPE | 7 |
hydrogen peroxide | CHEMICAL | 7 |
ga_ctc | ORG | 7 |
fatalities | DISEASE | 7 |
digital | ORG | 7 |
acute respiratory syndrome | DISEASE | 7 |
confusion | DISEASE | 7 |
rbd | ORG | 7 |
otp | ORG | 7 |
ode | CHEMICAL | 7 |
new york city | GPE | 7 |
nc | GPE | 7 |
digital ariadne | PERSON | 6 |
micronesia | GPE | 6 |
mit | ORG | 6 |
iot | CHEMICAL | 6 |
infections | DISEASE | 6 |
healthcare | ORG | 6 |
h5n1 | TAXON | 6 |
adp ribose | CHEMICAL | 6 |
contacts | ORG | 6 |
chlamydia | TAXON | 6 |
calmette | CHEMICAL | 6 |
bluetooth low energy | ORG | 6 |
bangladesh | GPE | 6 |
aruba | GPE | 6 |
pearson | PERSON | 6 |
pp | ORG | 6 |
complexity | DISEASE | 6 |
ra | ORG | 6 |
coping behaviors | DISEASE | 6 |
the united kingdom | GPE | 6 |
respiratory syndrome | DISEASE | 6 |
sleep disorder | DISEASE | 6 |
peroxide | CHEMICAL | 6 |
influenza | ORG | 6 |
infected | DISEASE | 6 |
diphtheria | DISEASE | 6 |
oseltamivir | CHEMICAL | 6 |
anthrax | DISEASE | 6 |
animals | TAXON | 6 |
amino acid | CHEMICAL | 6 |
united kingdom | GPE | 6 |
tdd | ORG | 6 |
smith | PERSON | 6 |
infectious disease | DISEASE | 5 |
fluphone | ORG | 5 |
irb | ORG | 5 |
ibm | ORG | 5 |
hangzhou | GPE | 5 |
handbook | ORG | 5 |
hiv infection | DISEASE | 5 |
har | TAXON | 5 |
great britain | GPE | 5 |
gdpr | ORG | 5 |
anthrax | ORG | 5 |
fog | ORG | 5 |
doppler | ORG | 5 |
cuba | GPE | 5 |
covid 19 | PERSON | 5 |
copd | ORG | 5 |
cnn | ORG | 5 |
analysis | LOC | 5 |
aarogya setu | PERSON | 5 |
abm | ORG | 5 |
london | GPE | 5 |
king pierce | ORG | 5 |
fits | DISEASE | 5 |
metadata | PERSON | 5 |
ORG | 5 | |
nb | ORG | 5 |
the world health organization | ORG | 5 |
respiratory syndrome | DISEASE | 5 |
influenza like illness | DISEASE | 5 |
infecteds | CHEMICAL | 5 |
gaps | DISEASE | 5 |
cough | DISEASE | 5 |
coronavirus sars cov | DISEASE | 5 |
viral | TAXON | 5 |
viral proteins | TAXON | 5 |
tuberculosis | GPE | 5 |
results | PERSON | 5 |
transmission | ORG | 5 |
phs | ORG | 5 |
parkinson s disease | DISEASE | 5 |
oxford | ORG | 5 |
sec | ORG | 5 |
texas | GPE | 5 |
time | ORG | 5 |
infectious disease | DISEASE | 4 |
lcc | ORG | 4 |
interim | ORG | 4 |
ireland | GPE | 4 |
jpg | ORG | 4 |
joo | PERSON | 4 |
joo 2017 | PERSON | 4 |
korea | GPE | 4 |
infectious diseases | DISEASE | 4 |
marakhimov | GPE | 4 |
mhs | ORG | 4 |
ml dl | CHEMICAL | 4 |
madagascar | GPE | 4 |
mexico | GPE | 4 |
mip | ORG | 4 |
multi | ORG | 4 |
n | ORG | 4 |
novid | ORG | 4 |
hz | ORG | 4 |
infection | DISEASE | 4 |
d e | CHEMICAL | 4 |
humans | TAXON | 4 |
h7n9 | GPE | 4 |
new york | GPE | 4 |
anderson | PERSON | 4 |
apps | PERSON | 4 |
asia | LOC | 4 |
azure | CHEMICAL | 4 |
bluetooth le | ORG | 4 |
calmette guérin bcg | PERSON | 4 |
cambodia | GPE | 4 |
colorado | GPE | 4 |
coronavirus covid 19 | ORG | 4 |
denver | GPE | 4 |
fitr | ORG | 4 |
fi | CHEMICAL | 4 |
flu | TAXON | 4 |
gla se | CHEMICAL | 4 |
gnss | ORG | 4 |
galaxy | CHEMICAL | 4 |
npmm | ORG | 4 |
iceland | GPE | 4 |
ons | ORG | 4 |
diseases | DISEASE | 4 |
acute respiratory syndrome coronavirus 2 sars cov | DISEASE | 4 |
airborne infection | DISEASE | 4 |
animal | TAXON | 4 |
anthracis | TAXON | 4 |
bacterium | TAXON | 4 |
coronavirus 2019 ncov | DISEASE | 4 |
coronavirus infected pneumonia | DISEASE | 4 |
disabilities | DISEASE | 4 |
iphone | ORG | 4 |
world health organization | ORG | 4 |
microbial keratitis | DISEASE | 4 |
overload | DISEASE | 4 |
pain | DISEASE | 4 |
shortness of breath | DISEASE | 4 |
swine | TAXON | 4 |
the social contact survey | ORG | 4 |
tremors | DISEASE | 4 |
Δs | ORG | 4 |
acedapsone | CHEMICAL | 4 |
pneumonia | DISEASE | 4 |
pd | ORG | 4 |
self quarantine safety protection | ORG | 4 |
viruses | TAXON | 4 |
ps | ORG | 4 |
peter barrett | PERSON | 4 |
rfic | ORG | 4 |
recall | GPE | 4 |
sir | ORG | 4 |
ss | ORG | 4 |
section | ORG | 4 |
rf | ORG | 4 |
shanghai | GPE | 4 |
switzerland | GPE | 4 |
ttp | ORG | 4 |
toronto | GPE | 4 |
tracker | CHEMICAL | 4 |
users | ORG | 4 |
sierra leone | PERSON | 4 |
vol | ORG | 4 |
kucharski | ORG | 3 |
limited | PERSON | 3 |
lessons | ORG | 3 |
lri | ORG | 3 |
lmic | ORG | 3 |
ll | PERSON | 3 |
lda | ORG | 3 |
kilifi | TAXON | 3 |
klepac | CHEMICAL | 3 |
kiti et al | PERSON | 3 |
kermack | GPE | 3 |
israel | GPE | 3 |
mrsa | ORG | 3 |
isolation | ORG | 3 |
maltalep | GPE | 3 |
nigeria | GPE | 3 |
manual | PERSON | 3 |
middle east | LOC | 3 |
morocco | GPE | 3 |
mossong et al 2008 | PERSON | 3 |
mycobacterium tuberculosis | CHEMICAL | 3 |
möbius | ORG | 3 |
n w l | ORG | 3 |
nc nd | ORG | 3 |
north america | LOC | 3 |
ofdm | ORG | 3 |
os | ORG | 3 |
offline | ORG | 3 |
outbreaks | ORG | 3 |
iii | ORG | 3 |
isella | PERSON | 3 |
cisco | GPE | 3 |
human coronavirus | TAXON | 3 |
ens | ORG | 3 |
3d | ORG | 3 |
auc | ORG | 3 |
angiotensin | CHEMICAL | 3 |
app | ORG | 3 |
asymptomatic | PERSON | 3 |
borrelia | TAXON | 3 |
brandeau | PERSON | 3 |
covid safe paths | ORG | 3 |
california | GPE | 3 |
census | PERSON | 3 |
phe | CHEMICAL | 3 |
cork kerry | GPE | 3 |
ecp | ORG | 3 |
effectiveness | ORG | 3 |
huat 2006 | CHEMICAL | 3 |
england | GPE | 3 |
fn | ORG | 3 |
floor | DISEASE | 3 |
gdprhub | CHEMICAL | 3 |
global | ORG | 3 |
gundlapalli | CHEMICAL | 3 |
h1n1 influenza | PERSON | 3 |
hiv aids | DISEASE | 3 |
hiv epidemic | DISEASE | 3 |
http | ORG | 3 |
hamagen | ORG | 3 |
health code | ORG | 3 |
hellewell | GPE | 3 |
pcr | ORG | 3 |
japan | GPE | 3 |
pin | ORG | 3 |
mycobacterial | TAXON | 3 |
borderline leprosy | DISEASE | 3 |
china | GPE | 3 |
colocator | CHEMICAL | 3 |
coronavirus contact | TAXON | 3 |
coronavirus infection | DISEASE | 3 |
coronavirus pneumonia | DISEASE | 3 |
dry | DISEASE | 3 |
gets infected | DISEASE | 3 |
human beings | TAXON | 3 |
hypoxia | DISEASE | 3 |
illness | DISEASE | 3 |
infections cc | DISEASE | 3 |
man | TAXON | 3 |
metadata | GPE | 3 |
nosocomial infections | DISEASE | 3 |
bioterror | DISEASE | 3 |
pathogen | ORG | 3 |
pone | CHEMICAL | 3 |
respiratory infection | DISEASE | 3 |
sexual behavior | DISEASE | 3 |
smartwatches | CHEMICAL | 3 |
the european union | ORG | 3 |
the federated states | GPE | 3 |
the ministry of health | ORG | 3 |
the received signal strength indicator rssi | ORG | 3 |
the world health organization who | ORG | 3 |
tremor | DISEASE | 3 |
van de kassteele | PERSON | 3 |
virus disease | DISEASE | 3 |
pums | ORG | 3 |
birds | TAXON | 3 |
status infected | DISEASE | 3 |
bacterial | TAXON | 3 |
space | TAXON | 3 |
physical and numerical models | ORG | 3 |
bacillus | TAXON | 3 |
prem | PERSON | 3 |
privacy | ORG | 3 |
qs | GPE | 3 |
raskar ramesh | ORG | 3 |
sgx | ORG | 3 |
sig | ORG | 3 |
sp | CHEMICAL | 3 |
saharan africa | GPE | 3 |
shenzhen | GPE | 3 |
smallpox | PERSON | 3 |
smart | ORG | 3 |
solaris | GPE | 3 |
rt | ORG | 3 |
state | ORG | 3 |
united states | GPE | 3 |
tc | ORG | 3 |
alcohol | CHEMICAL | 3 |
zhang et al 2020 | PERSON | 3 |
vhf | ORG | 3 |
user | ORG | 3 |
west africa | GPE | 3 |
uihc | ORG | 3 |
ui | ORG | 3 |
the world health organization | ORG | 3 |
the washington post | ORG | 3 |
the journal of physical chemistry | ORG | 3 |
infektionsketten | ORG | 2 |
infectious diseases | DISEASE | 2 |
kaplan et al | PERSON | 2 |
institute | ORG | 2 |
introduction | ORG | 2 |
js | ORG | 2 |
jones | PERSON | 2 |
joo 2019 | PERSON | 2 |
josé fernández | PERSON | 2 |
k means | ORG | 2 |
knbs | ORG | 2 |
klebsiella | PERSON | 2 |
kayhan zrar | PERSON | 2 |
larcker | CHEMICAL | 2 |
kayhan zrar ghafoor | PERSON | 2 |
kibera | GPE | 2 |
kiti | GPE | 2 |
korea university | ORG | 2 |
kurien | PERSON | 2 |
le | GPE | 2 |
llvm | ORG | 2 |
iwl | ORG | 2 |
lack | PERSON | 2 |
indoor | ORG | 2 |
hiv 1 infection | DISEASE | 2 |
ipf | ORG | 2 |
ii | ORG | 2 |
gormus | GPE | 2 |
larger | GPE | 2 |
group twenty | ORG | 2 |
groups | ORG | 2 |
guérin | CHEMICAL | 2 |
h jω | PERSON | 2 |
h1 | PERSON | 2 |
h6crrfdek4i | ORG | 2 |
hais | DISEASE | 2 |
hd | DISEASE | 2 |
hiv infected | DISEASE | 2 |
hp aruba | GPE | 2 |
hamilton | PERSON | 2 |
hansen s disease | DISEASE | 2 |
health code app | ORG | 2 |
hethcote | CHEMICAL | 2 |
hollingsworth t | DISEASE | 2 |
hubei province | GPE | 2 |
human contact | TAXON | 2 |
hypopnea syndrome | DISEASE | 2 |
ihec | ORG | 2 |
larcker 1981 | PERSON | 2 |
mw vaccine | CHEMICAL | 2 |
legionella | TAXON | 2 |
mixing patterns relevant | ORG | 2 |
mossong et | PERSON | 2 |
mouse cells | TAXON | 2 |
mozur | PERSON | 2 |
munich germany | GPE | 2 |
mwangi | CHEMICAL | 2 |
pwa | ORG | 2 |
mwongela | CHEMICAL | 2 |
n agents | CHEMICAL | 2 |
nc 4 0 international license it | CHEMICAL | 2 |
nhaps | ORG | 2 |
north | ORG | 2 |
nsw | ORG | 2 |
network | ORG | 2 |
newman | ORG | 2 |
next | ORG | 2 |
nsp3 | ORG | 2 |
numbers | ORG | 2 |
pan | ORG | 2 |
pat | ORG | 2 |
pep quinolone | PERSON | 2 |
global navigation satellite system | ORG | 2 |
mombasa | GPE | 2 |
mieras | PERSON | 2 |
liberia | GPE | 2 |
microsoft | ORG | 2 |
lin | PERSON | 2 |
liu | PERSON | 2 |
lloyd smith | PERSON | 2 |
lockdowns | ORG | 2 |
lwin | PERSON | 2 |
mda | ORG | 2 |
meds | CHEMICAL | 2 |
mlt | ORG | 2 |
moh | ORG | 2 |
map | PERSON | 2 |
marckmann | ORG | 2 |
maritan | GPE | 2 |
markovlike | ORG | 2 |
mason | ORG | 2 |
massachusetts | GPE | 2 |
masuda | ORG | 2 |
mathematical | ORG | 2 |
matt j hollingsworth | PERSON | 2 |
mechanics | PERSON | 2 |
mello | PERSON | 2 |
merle | GPE | 2 |
google community mobility reports | ORG | 2 |
animal | TAXON | 2 |
gimma | CHEMICAL | 2 |
cdschq | CHEMICAL | 2 |
baek | PERSON | 2 |
bayes | GPE | 2 |
beacon | ORG | 2 |
beaudry | GPE | 2 |
belgium | GPE | 2 |
belgium epidemic | ORG | 2 |
bergasa caceres | ORG | 2 |
bombay | GPE | 2 |
brucella | PERSON | 2 |
carm | ORG | 2 |
covid safe places | ORG | 2 |
geneva | GPE | 2 |
csi dynamics | ORG | 2 |
cviaw | ORG | 2 |
canada | GPE | 2 |
cardipro | ORG | 2 |
carlen et al 28 | PERSON | 2 |
cellphone | ORG | 2 |
centers for disease control and prevention | ORG | 2 |
ceremonies | ORG | 2 |
chlamydia trachomatis infection | DISEASE | 2 |
clin infect dis doi | PERSON | 2 |
bmc | ORG | 2 |
bbc4 | ORG | 2 |
azure d2s | CHEMICAL | 2 |
atlanta | GPE | 2 |
paran | ORG | 2 |
1 5018 | CHEMICAL | 2 |
1 sampling | PERSON | 2 |
8179 | CHEMICAL | 2 |
ap mac | ORG | 2 |
aru | ORG | 2 |
aarogya setu 45 | PERSON | 2 |
acanthamoeba | TAXON | 2 |
aircrafts | ORG | 2 |
alexnet | GPE | 2 |
algeria | GPE | 2 |
algorithm 1 | ORG | 2 |
alpha | GPE | 2 |
amazon web services | ORG | 2 |
america | GPE | 2 |
annali | PERSON | 2 |
anomaly | DISEASE | 2 |
apple google | PERSON | 2 |
apple ios | ORG | 2 |
aspen area | LOC | 2 |
associated determinants | ORG | 2 |
closecontact infections | CHEMICAL | 2 |
clostridium | GPE | 2 |
colombia | GPE | 2 |
effectiveness of interventions | ORG | 2 |
enables | GPE | 2 |
epidemiological | ORG | 2 |
erbil kurdistan region | GPE | 2 |
esteve | ORG | 2 |
ettus | ORG | 2 |
examples | ORG | 2 |
exposed infected | DISEASE | 2 |
fetp | ORG | 2 |
findings | ORG | 2 |
fp | ORG | 2 |
ORG | 2 | |
fadel | PERSON | 2 |
fidler 2004 huat | ORG | 2 |
florida | GPE | 2 |
floridi | PERSON | 2 |
fornell | ORG | 2 |
francisella | PERSON | 2 |
francisella tularensis | TAXON | 2 |
fungi | TAXON | 2 |
garcia ayuso | PERSON | 2 |
gender | PERSON | 2 |
emerg infect dis | PERSON | 2 |
ebola virus disease | DISEASE | 2 |
community | DISEASE | 2 |
ebola virus | TAXON | 2 |
comparative | ORG | 2 |
coronavirus infected pneumonia | DISEASE | 2 |
coronavirus deaths | DISEASE | 2 |
cosmos db | PERSON | 2 |
cough | PERSON | 2 |
cough sneeze ocular secretions | DISEASE | 2 |
crossbow | CHEMICAL | 2 |
d e d i d | CHEMICAL | 2 |
dua | ORG | 2 |
dadra | PERSON | 2 |
danon | DISEASE | 2 |
de carli | PERSON | 2 |
death | DISEASE | 2 |
deaths | DISEASE | 2 |
decentralized | PERSON | 2 |
delays | DISEASE | 2 |
dementia | ORG | 2 |
denmark | GPE | 2 |
diphtheria | PERSON | 2 |
dynamic | ORG | 2 |
düppre | PERSON | 2 |
pan european | ORG | 2 |
hai | ORG | 2 |
parasomnia | GPE | 2 |
iveco | ORG | 2 |
hypertension | DISEASE | 2 |
hypopnea syndrome | DISEASE | 2 |
identifier | ORG | 2 |
increases infection | DISEASE | 2 |
infectious e | DISEASE | 2 |
infectious infectious i | DISEASE | 2 |
infectious to the tracing of their contacts | DISEASE | 2 |
influenza a | DISEASE | 2 |
influenza a h5n1 infections | DISEASE | 2 |
influenzalike | DISEASE | 2 |
knn | ORG | 2 |
mycobacterium | TAXON | 2 |
loss of privacy | DISEASE | 2 |
low infection | DISEASE | 2 |
lung inflammation | DISEASE | 2 |
medicine ceremonies | DISEASE | 2 |
meningitis | DISEASE | 2 |
mice | TAXON | 2 |
micronesia | GPE | 2 |
minocycline | CHEMICAL | 2 |
mit | ORG | 2 |
mouth disease | DISEASE | 2 |
hydrophobic amino acids | CHEMICAL | 2 |
hosts | TAXON | 2 |
horse | TAXON | 2 |
heterogeneities | DISEASE | 2 |
cough fever | DISEASE | 2 |
coughing and breathing | DISEASE | 2 |
coughing and shortness of breath | DISEASE | 2 |
coughing sneezing | DISEASE | 2 |
criticality | DISEASE | 2 |
declarative language | DISEASE | 2 |
decrypt | CHEMICAL | 2 |
dementia | DISEASE | 2 |
diary | ORG | 2 |
diabetes | DISEASE | 2 |
dizziness | DISEASE | 2 |
epileptic seizures | DISEASE | 2 |
erythromycin | CHEMICAL | 2 |
fatigue | DISEASE | 2 |
fever cough sore | DISEASE | 2 |
g n n | ORG | 2 |
goodnessof | CHEMICAL | 2 |
haemorrhagic | DISEASE | 2 |
heart problems | DISEASE | 2 |
heatmap | PERSON | 2 |
herpes zoster | DISEASE | 2 |
mycobacteria | TAXON | 2 |
nan doi | PERSON | 2 |
coronavirus sars | DISEASE | 2 |
the university of iowa hospitals and clinics uihc | ORG | 2 |
the city of new york 17 | GPE | 2 |
the college of computer science and technology jilin university | ORG | 2 |
the community mobility reports | ORG | 2 |
the confidential computing consortium | ORG | 2 |
the conformational transition of molten globule states | ORG | 2 |
the indian institute of science | ORG | 2 |
the institute human ethics committee | ORG | 2 |
the london school of hygiene and tropical medicine | ORG | 2 |
the population council | ORG | 2 |
the preferred reporting items for systematic reviews | ORG | 2 |
the internal review board of | ORG | 2 |
nosocomial infection | DISEASE | 2 |
the south east | LOC | 2 |
tightness | DISEASE | 2 |
tileserver | DISEASE | 2 |
unsafe sexual behavior | DISEASE | 2 |
vancomycin | CHEMICAL | 2 |
vanishing bending stiffness | DISEASE | 2 |
viral infections | DISEASE | 2 |
virus proteins | TAXON | 2 |
parker | PERSON | 2 |
β | PERSON | 2 |
the centers for disease control and prevention | ORG | 2 |
the amref health africa ethics and scientific review committee | ORG | 2 |
template | CHEMICAL | 2 |
syncytial virus | TAXON | 2 |
omni directional antennas | ORG | 2 |
org journal | ORG | 2 |
org licen | ORG | 2 |
paraparesis | DISEASE | 2 |
pertussis | DISEASE | 2 |
phosphate | CHEMICAL | 2 |
pigs | TAXON | 2 |
privacy loss | DISEASE | 2 |
proximity | DISEASE | 2 |
pulmonary tuberculosis | DISEASE | 2 |
qp4kq139 | DISEASE | 2 |
query | CHEMICAL | 2 |
respiratory virus | TAXON | 2 |
rifampin | CHEMICAL | 2 |
rsif j r soc | PERSON | 2 |
s movements | DISEASE | 2 |
s12916 020 | ORG | 2 |
shock | DISEASE | 2 |
silicone | CHEMICAL | 2 |
small reduction | DISEASE | 2 |
smartwatch | DISEASE | 2 |
coronavirus infections | DISEASE | 2 |
the creative commons attribution cc | ORG | 2 |
coronavirus 2019 ncov infections | DISEASE | 2 |
shingirirai | PERSON | 2 |
sql | ORG | 2 |
svm | ORG | 2 |
saharan | GPE | 2 |
section iv | ORG | 2 |
selective | ORG | 2 |
senga et al | PERSON | 2 |
sensitivity | ORG | 2 |
seoul | GPE | 2 |
shamsi | PERSON | 2 |
shenzen | GPE | 2 |
simmhan | CHEMICAL | 2 |
sydney australia | ORG | 2 |
singh adhikari | PERSON | 2 |
single | ORG | 2 |
social contacts | ORG | 2 |
social encounter | ORG | 2 |
south africa | GPE | 2 |
southeast asia strategies | LOC | 2 |
southern china | LOC | 2 |
spearman | PERSON | 2 |
static | ORG | 2 |
strengths | ORG | 2 |
sirs | ORG | 2 |
sign | CHEMICAL | 2 |
sars mers | DISEASE | 2 |
sars cov rbd | ORG | 2 |
pearson kendall | PERSON | 2 |
parkinsonian | DISEASE | 2 |
corneal inflammatory | DISEASE | 2 |
period | CHEMICAL | 2 |
periods | DISEASE | 2 |
peter barrett niamh bambury | PERSON | 2 |
pittsburgh | GPE | 2 |
poisson | ORG | 2 |
pourbohloul | ORG | 2 |
prob | PERSON | 2 |
qi | GPE | 2 |
qp | ORG | 2 |
quantify the effects of contact tracing testing and containment | GPE | 2 |
results | ORG | 2 |
rl | ORG | 2 |
roc | GPE | 2 |
rtls | ORG | 2 |
rapid | PERSON | 2 |
respiratory syndrome coronavirus | DISEASE | 2 |
respiratory syndrome mers | DISEASE | 2 |
richardus | ORG | 2 |
swaan corien | PERSON | 2 |
proximity | ORG | 2 |
são paulo | GPE | 2 |
yersinia | GPE | 2 |
zhejiang province | GPE | 2 |
a8ig607 | CHEMICAL | 2 |
active infections | DISEASE | 2 |
acute respiratory syndrome sars | DISEASE | 2 |
airborne infections | DISEASE | 2 |
al 10 | PERSON | 2 |
al 2005 | PERSON | 2 |
al 2015 | PERSON | 2 |
app security | ORG | 2 |
armadillos | TAXON | 2 |
atopic dermatitis | DISEASE | 2 |
avian influenza | PERSON | 2 |
battery failure | DISEASE | 2 |
candida | TAXON | 2 |
cholera | DISEASE | 2 |
coarse grain proximity | DISEASE | 2 |
communicable disease | DISEASE | 2 |
cord_uid | LOC | 2 |
tc | ORG | 2 |
coping behavior | DISEASE | 2 |
conjunctivitis | DISEASE | 2 |
yugoslavia | GPE | 2 |
cheetah | TAXON | 2 |
yasaka | PERSON | 2 |
ullevål university hospital | ORG | 2 |
trao | ORG | 2 |
taal | PERSON | 2 |
table 1 | LOC | 2 |
wu | PERSON | 2 |
thailand | GPE | 2 |
the lancet public health | ORG | 2 |
transmission dynamics | ORG | 2 |
trust | ORG | 2 |
turkey | GPE | 2 |
u | GPE | 2 |
technische universität münchen | ORG | 2 |
unit clerks | ORG | 2 |
vianya | CHEMICAL | 2 |
wi run | PERSON | 2 |
wang 2020 | PERSON | 2 |
workshop | PERSON | 2 |
virtual disease | DISEASE | 2 |
wi oar | ORG | 2 |
vazquez prokopec | ORG | 2 |
vm | ORG | 2 |
innovative use of health informatics | ORG | 1 |
iquitos using | ORG | 1 |
ipsos | PERSON | 1 |
iozzi | ORG | 1 |
iowa city data | ORG | 1 |
iowa | GPE | 1 |
international leprosy congress | ORG | 1 |
international federation of anti leprosy associations | ORG | 1 |
institute for biocomputation and physics of complex systems preprint modelling | ORG | 1 |
international air transport association iata | ORG | 1 |
internal | ORG | 1 |
intermediate states | LOC | 1 |
iran | GPE | 1 |
interactions | ORG | 1 |
intel s | GPE | 1 |
intel wlan | ORG | 1 |
institutional review board irb | ORG | 1 |
interim influenza vaccination recommendations | ORG | 1 |
isle of wight | LOC | 1 |
iraq | GPE | 1 |
james d kucharski | PERSON | 1 |
james allen peter m | PERSON | 1 |
initiative massachusetts general hospital center for global health | ORG | 1 |
james joseph | PERSON | 1 |
jaccard | GPE | 1 |
jaap haartsen | PERSON | 1 |
json | ORG | 1 |
js cs | ORG | 1 |
j phys chem | LOC | 1 |
j epidemiol community health | ORG | 1 |
its municipal health services | ORG | 1 |
iterative | ORG | 1 |
italy elife contact network structure | ORG | 1 |
italy social | GPE | 1 |
italy ireland | GPE | 1 |
italy idoiaga | GPE | 1 |
italian coronavirus | DISEASE | 1 |
israeli ministry of health hamagen | ORG | 1 |
innovative | ORG | 1 |
immunoprophylaxis | GPE | 1 |
initially pepp pt | ORG | 1 |
isp | ORG | 1 |
imagine | PERSON | 1 |
ignotti | ORG | 1 |
ienca | ORG | 1 |
identifying | LOC | 1 |
ideally | PERSON | 1 |
ideal knots and other packing problems of tubes computation | ORG | 1 |
ideal | ORG | 1 |
it professionals | ORG | 1 |
ipc | CHEMICAL | 1 |
information security management | ORG | 1 |
ip | ORG | 1 |
imei | ORG | 1 |
ijcai aaai icdm wi | ORG | 1 |
iii covid 19 | ORG | 1 |
ii transparent reporting mechanisms researchers | ORG | 1 |
ieee access | ORG | 1 |
jamil | GPE | 1 |
ieee tkde ieee | ORG | 1 |
immune responses | ORG | 1 |
immunity | ORG | 1 |
immuvac cadi | CHEMICAL | 1 |
imperial college | ORG | 1 |
infolep international | LOC | 1 |
infolep | PERSON | 1 |
influenza vaccination programmes an evidence synthesis and modelling study | ORG | 1 |
influenza spreading world population prospects 2019 | ORG | 1 |
influenza operationeel | ORG | 1 |
influenza like illness | ORG | 1 |
influenza a | CHEMICAL | 1 |
influence of population immunosuppression | ORG | 1 |
infected | DISEASE | 1 |
infect dis doi | PERSON | 1 |
inf technol | PERSON | 1 |
indiscriminate | ORG | 1 |
india nepal | ORG | 1 |
incorporating disease and population structure | ORG | 1 |
incidence and mortality of covid 19 | ORG | 1 |
inc chicago il usa | ORG | 1 |
imperial college covid | ORG | 1 |
james et al 2020 | PERSON | 1 |
kenema | GPE | 1 |
janice crompton | PERSON | 1 |
kiran raj | PERSON | 1 |
kock 2015 harman | ORG | 1 |
knot theory mechanics | ORG | 1 |
knot theory creation | ORG | 1 |
klopfenstein lorenz cuno | PERSON | 1 |
klinkenberg | PERSON | 1 |
kitchen | CHEMICAL | 1 |
kiss | GPE | 1 |
kiribati | PERSON | 1 |
kingdom | GPE | 1 |
kazmierczak 54 | ORG | 1 |
king county | GPE | 1 |
kimathi conceptualization of this study | ORG | 1 |
khochare aakash ramesh | PERSON | 1 |
khan muhammad | PERSON | 1 |
kesehatan | CHEMICAL | 1 |
kerry | PERSON | 1 |
kelly louise condon | PERSON | 1 |
keiji fukuda | PERSON | 1 |
kolkata mean | ORG | 1 |
konkuk university | ORG | 1 |
kontaktpersonennachverfolgung | PERSON | 1 |
korea university from | ORG | 1 |
l 0 d 0 16 371476 this computed value of l 0 d | CHEMICAL | 1 |
id93 gla | ORG | 1 |
l 0 d 0 16 371476 | CHEMICAL | 1 |
l 0 d 0 16 37 the same configuration studied experimentally in the main text in this | CHEMICAL | 1 |
kyrychko | PERSON | 1 |
kwale | GPE | 1 |
kurdistan | GPE | 1 |
kunasekaran | CHEMICAL | 1 |
kulu | PERSON | 1 |
kuk et al | PERSON | 1 |
kuhn et al | PERSON | 1 |
kristen leis sienna | PERSON | 1 |
kristen gray jim | PERSON | 1 |
kretzschmar et al | PERSON | 1 |
kretzschmar mirjam | PERSON | 1 |
kretzschmar | GPE | 1 |
krastev | CHEMICAL | 1 |
keeling | GPE | 1 |
kaushal louisy khahlil | PERSON | 1 |
janice sheahan anne | PERSON | 1 |
jilin university | ORG | 1 |
johns hopkins university | ORG | 1 |
johns hopkins project on ethics | ORG | 1 |
john haygarth | PERSON | 1 |
john h reis pedro m | PERSON | 1 |
johanns paul grandgeorge paul | PERSON | 1 |
johannesburg south africa | GPE | 1 |
joel | DISEASE | 1 |
job | PERSON | 1 |
ji | ORG | 1 |
kariobangi dandora | PERSON | 1 |
jeroen van den hoven | PERSON | 1 |
jensen et | PERSON | 1 |
jensen | PERSON | 1 |
jean paul mossong joël | PERSON | 1 |
jean paul bertemes | PERSON | 1 |
jay surati rajeev | PERSON | 1 |
java servlets | ORG | 1 |
jarvis | PERSON | 1 |
johns hopkins university center for health security | ORG | 1 |
johnson | PERSON | 1 |
joint | ORG | 1 |
jonathan m | PERSON | 1 |
kaplan et al 10 | PERSON | 1 |
kaplan | PERSON | 1 |
kang | PERSON | 1 |
kahn | PERSON | 1 |
ksem ijcai | PERSON | 1 |
knob | ORG | 1 |
kff health tracking poll | ORG | 1 |
kbs | ORG | 1 |
kap | ORG | 1 |
k s a e and k s | ORG | 1 |
k s a e | CHEMICAL | 1 |
k e | CHEMICAL | 1 |
julia r title | CHEMICAL | 1 |
joo jaehun | PERSON | 1 |
jones et al 2002 | PERSON | 1 |
jonathan montgomery | PERSON | 1 |
jonathan m title | PERSON | 1 |
ids | ORG | 1 |
guidance | ORG | 1 |
ict | ORG | 1 |
government | ORG | 1 |
greg werner john | PERSON | 1 |
great britain social | ORG | 1 |
great britain factors | ORG | 1 |
great britain contacts | ORG | 1 |
grantz k h cummings d a t | CHEMICAL | 1 |
grandgeorge | PERSON | 1 |
government of india | ORG | 1 |
government response tracker blavatnik school of government | ORG | 1 |
gouvernanzmodell | PERSON | 1 |
google corporation | ORG | 1 |
gould lewis 2020 | PERSON | 1 |
google s exposure notifications system | ORG | 1 |
google s exposure notification system | ORG | 1 |
google s community mobility reports | ORG | 1 |
google s | ORG | 1 |
google scholar | PERSON | 1 |
google maps androidcentral website | ORG | 1 |
google maps | PERSON | 1 |
greg werner john barbar | PERSON | 1 |
group | ORG | 1 |
group a | ORG | 1 |
group b | ORG | 1 |
hcv | PERSON | 1 |
h5n1 viruses | TAXON | 1 |
h5n1 virus | TAXON | 1 |
h3n2 virus | TAXON | 1 |
h3n2 | ORG | 1 |
h1n1 infections | DISEASE | 1 |
h1n1 epidemic disease | DISEASE | 1 |
h1n1 2009 | DISEASE | 1 |
gurman | PERSON | 1 |
gundlapalli et al | PERSON | 1 |
guinea | TAXON | 1 |
l bonsall d g | PERSON | 1 |
guardian | ORG | 1 |
guangzhou | GPE | 1 |
guan | GPE | 1 |
gruner bjarke frost | CHEMICAL | 1 |
group interactions | ORG | 1 |
google israel | ORG | 1 |
google apple | ORG | 1 |
icer | ORG | 1 |
gasser | PERSON | 1 |
general public | ORG | 1 |
general demographic characteristics | ORG | 1 |
general data protection regulation | ORG | 1 |
gebhard et al 2020 | PERSON | 1 |
gaussian mixture models gmm | ORG | 1 |
gathungu duncan kioi | PERSON | 1 |
gathungu conceptualization | PERSON | 1 |
gathungu | CHEMICAL | 1 |
garson 2016 | ORG | 1 |
google android | ORG | 1 |
garbage | PERSON | 1 |
gaps | CHEMICAL | 1 |
galea et al 2020 | PERSON | 1 |
gait | LOC | 1 |
gabriel goh | PERSON | 1 |
gabriel | PERSON | 1 |
green | ORG | 1 |
gpzl pep | ORG | 1 |
generic access | ORG | 1 |
geneva who | PERSON | 1 |
geneva world health organization annual report | ORG | 1 |
geneva world health organization modeling | ORG | 1 |
goal | PERSON | 1 |
globally bcg | PERSON | 1 |
global partnership for zero leprosy global partnership for zero leprosy world health organization | ORG | 1 |
gillini | PERSON | 1 |
gilkison | PERSON | 1 |
ghangdou | GPE | 1 |
gesundheitsämter indoor | ORG | 1 |
gesundheitsamt ga_ctc | CHEMICAL | 1 |
germann | PERSON | 1 |
german hospitals an observational study efficient estimation of age specific social contact rates between men and women | ORG | 1 |
gephi figure | ORG | 1 |
georgia | GPE | 1 |
george john varghese bhope | PERSON | 1 |
george hilton | PERSON | 1 |
geographical units spread and impact of covid 19 | ORG | 1 |
geohash geohash | PERSON | 1 |
geocode | ORG | 1 |
hechang chen | PERSON | 1 |
hhs | CHEMICAL | 1 |
hiv 1 pr | TAXON | 1 |
homotopy | PERSON | 1 |
houston | GPE | 1 |
hospital waiting areas | ORG | 1 |
hospital admissions influenza | ORG | 1 |
hospital | ORG | 1 |
hornbeck | PERSON | 1 |
hoong poon beng | PERSON | 1 |
hong kong special administrative region people s republic of china | GPE | 1 |
hong kong heterogeneity | GPE | 1 |
homeland security philadelphia pa society for industrial andapplied mathematics means | ORG | 1 |
hiv 1 infections | DISEASE | 1 |
hogben et | PERSON | 1 |
hof susan wallinga jacco van wijngaarden jan | PERSON | 1 |
hof | PERSON | 1 |
hoang et al 2019 | PERSON | 1 |
ho et al 2018 | PERSON | 1 |
ho chi minh city | GPE | 1 |
hitman graham | PERSON | 1 |
hithnawi | ORG | 1 |
hu | PERSON | 1 |
huang | PERSON | 1 |
hugo leal | PERSON | 1 |
human contact | TAXON | 1 |
i116 | ORG | 1 |
hypothesis 4 emotion | ORG | 1 |
hypothesis 3 challenge | ORG | 1 |
hypertension | DISEASE | 1 |
hydroxychloroquine | CHEMICAL | 1 |
hydrogen peroxide | CHEMICAL | 1 |
hussain | GPE | 1 |
huntington s disease | DISEASE | 1 |
huntington s disease based on | GPE | 1 |
huntington s disease | DISEASE | 1 |
huntington | GPE | 1 |
human human | TAXON | 1 |
human body | TAXON | 1 |
human infectious disease | DISEASE | 1 |
human immunodeficiency virus and sexually transmitted diseases | DISEASE | 1 |
human immunodeficiency virus gonorrhea | DISEASE | 1 |
human coronavirus infections | DISEASE | 1 |
hispanic latinx | ORG | 1 |
hirsch | PERSON | 1 |
heterogeneous | PERSON | 1 |
hannah fry | PERSON | 1 |
hale | PERSON | 1 |
haiti | GPE | 1 |
hagberg | DISEASE | 1 |
haemorrhagic | ORG | 1 |
haber michael j shay davis | PERSON | 1 |
https | ORG | 1 |
html | ORG | 1 |
hsts | ORG | 1 |
hr2 domains | PERSON | 1 |
hpv | ORG | 1 |
hptn 052 study team prevention | ORG | 1 |
hiv individuals | TAXON | 1 |
hiv criminalization | DISEASE | 1 |
hiv aggressive | DISEASE | 1 |
hiv epidemic a | DISEASE | 1 |
hiv aids epidemic | DISEASE | 1 |
hiv 1 sexual | DISEASE | 1 |
halloran et al 11 | PERSON | 1 |
hansen | GPE | 1 |
heterogeneity | GPE | 1 |
harman | ORG | 1 |
hertzberg | PERSON | 1 |
hepatitis virus liver | DISEASE | 1 |
henry dale fellowship | PERSON | 1 |
hen lysoz | PERSON | 1 |
heijden | GPE | 1 |
healthcare workers | ORG | 1 |
healthcare worker | ORG | 1 |
healthcare informatics | ORG | 1 |
health it and patient safety building safer systems for better care evaluating | ORG | 1 |
health code app | ORG | 1 |
health canada | ORG | 1 |
health | ORG | 1 |
headache | DISEASE | 1 |
haveli leprosy | DISEASE | 1 |
haveli | DISEASE | 1 |
harsh | ORG | 1 |
harris | PERSON | 1 |
l 0 d 0 the | CHEMICAL | 1 |
magklaras georgios | PERSON | 1 |
l bonsall d g mcconnell m v o banion s fraser c title | CHEMICAL | 1 |
n gauss decreases | CHEMICAL | 1 |
nphet | CHEMICAL | 1 |
nisi tu | ORG | 1 |
nisi | CHEMICAL | 1 |
nih | ORG | 1 |
ng | CHEMICAL | 1 |
ncbs | ORG | 1 |
n nodes | CHEMICAL | 1 |
n k | CHEMICAL | 1 |
n eg n | ORG | 1 |
n h | ORG | 1 |
n b n | ORG | 1 |
n b 984 | CHEMICAL | 1 |
n a n where n a denotes the | CHEMICAL | 1 |
n a n | ORG | 1 |
n w decreases ρ k a b | CHEMICAL | 1 |
n w 50 θ c 0 9 200 θ c 0 1 the sensitivity | CHEMICAL | 1 |
n w 100 and 1 200 fig 6 a and b show their | CHEMICAL | 1 |
n r | ORG | 1 |
nphet dublin health service executive national | ORG | 1 |
npis | ORG | 1 |
nsf | ORG | 1 |
nshx | CHEMICAL | 1 |
native structures a simple model for calculating the kinetics of protein folding | ORG | 1 |
national public radio | ORG | 1 |
national health portal of india | ORG | 1 |
national covidsafe | ORG | 1 |
national | ORG | 1 |
nathan eagle | PERSON | 1 |
narayan venkataraman | PERSON | 1 |
nanni | ORG | 1 |
nanjing | GPE | 1 |
najarkolaei et al 37 | PERSON | 1 |
najarkolaei | CHEMICAL | 1 |
nairobi county | GPE | 1 |
nagpur | GPE | 1 |
nagham régis corinne kim byeul | PERSON | 1 |
nagar haveli leprosy | ORG | 1 |
nagar haveli | PERSON | 1 |
ntp | CHEMICAL | 1 |
n hendy s | ORG | 1 |
n c i s u | ORG | 1 |
l chen d walinga j colijn c | CHEMICAL | 1 |
mohr 2020 | ORG | 1 |
moscow | GPE | 1 |
mortality weekly report | ORG | 1 |
moreno yamir | PERSON | 1 |
montanari 42 | PERSON | 1 |
monitoring vital signs and postures | ORG | 1 |
mondragon stress | ORG | 1 |
mombasa kilifi | PERSON | 1 |
molinari | PERSON | 1 |
mohana priya | ORG | 1 |
n acetyl amino acid amides | CHEMICAL | 1 |
mohamed ali vidah achieng oloo | PERSON | 1 |
modifiable | LOC | 1 |
models of sir disease | ORG | 1 |
models | ORG | 1 |
modellierung von beispielszenarien der sars cov 2 | PERSON | 1 |
model describing | PERSON | 1 |
model | ORG | 1 |
mobile contact tracing in fighting pandemic covid 19 issues challenges and solutions cryptology eprint archive development finance division | ORG | 1 |
mossong et al | PERSON | 1 |
mossong et al 22 | ORG | 1 |
mouse | TAXON | 1 |
mouth | PERSON | 1 |
mycobacterium tuberculosis infection | CHEMICAL | 1 |
mycobacterium leprae m | GPE | 1 |
mycobacterium leprae | TAXON | 1 |
mycobacterium avium complex | TAXON | 1 |
mycobacterium avium | CHEMICAL | 1 |
myanmar burma | GPE | 1 |
myanmar | GPE | 1 |
mwangi kadija | PERSON | 1 |
mwanga daniel kangwana beth pinchoff jessie | PERSON | 1 |
mwalili | PERSON | 1 |
mw | GPE | 1 |
murine | TAXON | 1 |
muluve | CHEMICAL | 1 |
multipronged | DISEASE | 1 |
multimodal | ORG | 1 |
mucormycosis | DISEASE | 1 |
mozambique | GPE | 1 |
nature | ORG | 1 |
nebraska | GPE | 1 |
nederland | GPE | 1 |
online probabilistic medical computation | ORG | 1 |
osaka contacting | ORG | 1 |
orwell | PERSON | 1 |
ortuno gutierrez | PERSON | 1 |
orenstein evan thompson | PERSON | 1 |
ordinary differential equations | ORG | 1 |
optima hiv | PERSON | 1 |
opportunistic | DISEASE | 1 |
openabm covid19 | ORG | 1 |
omachi shawn | PERSON | 1 |
negative | ORG | 1 |
olso ullevål university hospital | ORG | 1 |
oliver et al 2020 pepe et | PERSON | 1 |
oliver et al | PERSON | 1 |
olinda timms | PERSON | 1 |
oksuzyan | GPE | 1 |
ojiambo conceptualization | PERSON | 1 |
officials | TAXON | 1 |
office of the registrar general census commissioner household | ORG | 1 |
oseltamivir | CHEMICAL | 1 |
ottersten | CHEMICAL | 1 |
outbreak response preparedness centers for disease control and prevention child | ORG | 1 |
overhand | ORG | 1 |
gpslocation | ORG | 1 |
ps similar | ORG | 1 |
pp ps and ss | ORG | 1 |
pp ps | ORG | 1 |
pls | ORG | 1 |
phcia | ORG | 1 |
people post exposure prophylaxis for leprosy | ORG | 1 |
people | ORG | 1 |
pca | ORG | 1 |
pc ca ec | ORG | 1 |
paprs | CHEMICAL | 1 |
pakdd | CHEMICAL | 1 |
p19 | ORG | 1 |
p18 | ORG | 1 |
p pre | ORG | 1 |
oxford covid 19 | ORG | 1 |
overview | ORG | 1 |
office of the chief health officer public health workforce surge guidelines transmission | ORG | 1 |
observe | ORG | 1 |
obama | PERSON | 1 |
nilchiani | CHEMICAL | 1 |
niehus | PERSON | 1 |
nichols et al 19 | PERSON | 1 |
nichols | PERSON | 1 |
niamh bambury | ORG | 1 |
nguyen et al 13 | PERSON | 1 |
nguyen | GPE | 1 |
ngauss 25 | PERSON | 1 |
ng | CHEMICAL | 1 |
next generation technology for epidemic prevention | ORG | 1 |
new secondary | GPE | 1 |
new work city | GPE | 1 |
new jersey | GPE | 1 |
new guinea | GPE | 1 |
neurological manifestations of hospitalized patients | ORG | 1 |
nepal | GPE | 1 |
neil martin fenton norman | PERSON | 1 |
negligible | PERSON | 1 |
nigeria effectiveness | PERSON | 1 |
nishiura | GPE | 1 |
oaks hu l bentler | PERSON | 1 |
nisikilize tujengane | ORG | 1 |
outbreaks | CHEMICAL | 1 |
ons 1 matrices | ORG | 1 |
ons 1 | ORG | 1 |
nuzzo andrea tan | PERSON | 1 |
nuzzo andrea | PERSON | 1 |
nurtay a | DISEASE | 1 |
numba | PERSON | 1 |
nterminus | ORG | 1 |
notwithstanding | ORG | 1 |
nosyk bohdan armstrong | PERSON | 1 |
nosocomial infection | DISEASE | 1 |
north thames | PERSON | 1 |
north smartphones | GPE | 1 |
north east | LOC | 1 |
non native secondary structure role of topology | ORG | 1 |
nomor | DISEASE | 1 |
nokia | ORG | 1 |
mitigation of | ORG | 1 |
mirjam ee | ORG | 1 |
minsuk | CHEMICAL | 1 |
louise c | PERSON | 1 |
lung disease | DISEASE | 1 |
lucy kerubo | PERSON | 1 |
lucivero | GPE | 1 |
lucie bonsall david | PERSON | 1 |
lucet | PERSON | 1 |
lu | PERSON | 1 |
louisy khahlil | PERSON | 1 |
louise kelly | PERSON | 1 |
longini et al 13 | ORG | 1 |
mip vaccine | CHEMICAL | 1 |
longini | PERSON | 1 |
lone simonsen | PERSON | 1 |
london school of hygiene tropical medicine observational research ethics committee | ORG | 1 |
london centre for mathematical modeling of infectious diseases repository persistence | ORG | 1 |
lomas 2020b | PERSON | 1 |
liu et | GPE | 1 |
little | PERSON | 1 |
lisa cotsonis | PERSON | 1 |
lurches | CHEMICAL | 1 |
luxembourg monitoring | GPE | 1 |
luxembourg participants | GPE | 1 |
luxembourg portuguese | LOC | 1 |
measles | PERSON | 1 |
mers coronavirus outside | DISEASE | 1 |
mers cov 10 | ORG | 1 |
mers cov | ORG | 1 |
men | DISEASE | 1 |
mec u | CHEMICAL | 1 |
mdr tb | PERSON | 1 |
mdr | CHEMICAL | 1 |
mc rotterdam | CHEMICAL | 1 |
mc | CHEMICAL | 1 |
map | ORG | 1 |
m2m | ORG | 1 |
m lee y hb | PERSON | 1 |
m j h | PERSON | 1 |
m | ORG | 1 |
lymphomas | DISEASE | 1 |
luxembourg statistics | ORG | 1 |
linux | PERSON | 1 |
linton | GPE | 1 |
lingat village | GPE | 1 |
lattice model | PERSON | 1 |
latsuzbaia ardashel | PERSON | 1 |
latsuzbaia | CHEMICAL | 1 |
lastly | ORG | 1 |
lassa | TAXON | 1 |
lapolla pierfrancesco lee regent | PERSON | 1 |
lancet public health | ORG | 1 |
lancet localized hiv modeling study group ending | ORG | 1 |
lancet | ORG | 1 |
labor | DISEASE | 1 |
lte | CHEMICAL | 1 |
lsm | ORG | 1 |
lr 10 | ORG | 1 |
lg g3 | ORG | 1 |
lg | ORG | 1 |
leprosy | DISEASE | 1 |
lda naïve | CHEMICAL | 1 |
lci | ORG | 1 |
latter | ORG | 1 |
lay | PERSON | 1 |
linear systems structural and energetic heterogeneity | ORG | 1 |
learning seizure | DISEASE | 1 |
lincoln pharmacologic | ORG | 1 |
lift the lockdown improving decision support for infectious disease prevention | ORG | 1 |
liebler | DISEASE | 1 |
libertés cnil | ORG | 1 |
liberia implementation | ORG | 1 |
li et al 2020 | PERSON | 1 |
li wenliang | PERSON | 1 |
li k | CHEMICAL | 1 |
lewy | DISEASE | 1 |
leveraging wifi | PERSON | 1 |
leveraging | GPE | 1 |
leprosy leprosy | DISEASE | 1 |
leith | ORG | 1 |
leggat | DISEASE | 1 |
legal protection by design | ORG | 1 |
legal protection by | ORG | 1 |
lee | PERSON | 1 |
mip | ORG | 1 |
mit media lab | ORG | 1 |
minneapolis | GPE | 1 |
med ethics | PERSON | 1 |
mip mw furthermore | ORG | 1 |
metro cities | ORG | 1 |
meta | ORG | 1 |
merrick | PERSON | 1 |
melker h e | CHEMICAL | 1 |
melbourne australian health practitioner regulation agency smallpox response plan and guidelines | ORG | 1 |
melbourne | GPE | 1 |
mehta anita | PERSON | 1 |
med doi | PERSON | 1 |
mk | CHEMICAL | 1 |
meat | TAXON | 1 |
mclean | GPE | 1 |
mclachlan | PERSON | 1 |
mckenrick | PERSON | 1 |
mckendrick | ORG | 1 |
mcgoogan | GPE | 1 |
mbushi | CHEMICAL | 1 |
max pilat dan struck brooke krastev | PERSON | 1 |
michael j | PERSON | 1 |
michael mojsilovic | PERSON | 1 |
micromachines basel | PERSON | 1 |
micronesia kiribati | PERSON | 1 |
ministry of labour and administration regulations | ORG | 1 |
ministry of health s covid 19 | ORG | 1 |
ministries of health | ORG | 1 |
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milan monza neaples fig | ORG | 1 |
mike | PERSON | 1 |
middle east respiratory syndrome mers | LOC | 1 |
middle east respiratory syndrome coronavirus | LOC | 1 |
middle east respiratory syndrome computational | LOC | 1 |
middle east respiratory syndrome | LOC | 1 |
middle east respiratory coronavirus | LOC | 1 |
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microsoft google alibaba cloud | GPE | 1 |
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microsoft corp redmond | ORG | 1 |
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mavridis | GPE | 1 |
maurushat | PERSON | 1 |
map tracking | PERSON | 1 |
mann whitney | PERSON | 1 |
managing covid 19 | ORG | 1 |
malawi karonga prevention trial group vaccination | ORG | 1 |
malawi | PERSON | 1 |
mail online | PERSON | 1 |
mahotarn | PERSON | 1 |
magklaras | CHEMICAL | 1 |
magda kyrimi evangelia | PERSON | 1 |
maddocks 2020 metadata | ORG | 1 |
macintyre | ORG | 1 |
msp | ORG | 1 |
msa | CHEMICAL | 1 |
mrsa penicillin | CHEMICAL | 1 |
mrsa methicillin | CHEMICAL | 1 |
mrsa tuberculosis | CHEMICAL | 1 |
moef korea contact | ORG | 1 |
mmp | ORG | 1 |
mantel | ORG | 1 |
marc stoecklin | PERSON | 1 |
matthew van zandvoort kevin | PERSON | 1 |
marco di | CHEMICAL | 1 |
matlab | PERSON | 1 |
mathews | PERSON | 1 |
mathematics of epidemics on networks | ORG | 1 |
mathematical epidemiology of infectious diseases model building analysis and interpretation application of sir | ORG | 1 |
mathematica 4 2 the looming threat of bioterrorism | CHEMICAL | 1 |
martin meltzer | PERSON | 1 |
martin fenton norman e title bluetooth | CHEMICAL | 1 |
markus wilson | PERSON | 1 |
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markov | PERSON | 1 |
mark mwalili | PERSON | 1 |
marino n ferretti | CHEMICAL | 1 |
mariano jr | PERSON | 1 |
mariam motamedi fraser | PERSON | 1 |
mariadb | GPE | 1 |
maria 11 herein | PERSON | 1 |
marco di maldini riccardo | PERSON | 1 |
gpzl | CHEMICAL | 1 |
bluetooth | PERSON | 1 |
ghz ism | ORG | 1 |
bhargav sharath | PERSON | 1 |
bluetrace | ORG | 1 |
blok | GPE | 1 |
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birmingham | GPE | 1 |
bioterrorism mathematical modeling applications | ORG | 1 |
bioinformatics | PERSON | 1 |
bill gates | PERSON | 1 |
bikram benedetti francesco | PERSON | 1 |
bergou et al 30 | PERSON | 1 |
baumgärtner | ORG | 1 |
berga | PERSON | 1 |
benedetti francesco | PERSON | 1 |
ben san leprosy centre vaccines | ORG | 1 |
belt | CHEMICAL | 1 |
bell communications research | ORG | 1 |
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becker | DISEASE | 1 |
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ptti | CHEMICAL | 1 |
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bluetooth low energy tools and techniques for low power networking theoretical | ORG | 1 |
branching | ORG | 1 |
bozette et al | PERSON | 1 |
bovine | TAXON | 1 |
boulier | GPE | 1 |
botulism | PERSON | 1 |
botswana | GPE | 1 |
botero kanaparti | PERSON | 1 |
boris johnson | PERSON | 1 |
border protection services | ORG | 1 |
border | TAXON | 1 |
boltzmann gibbs | ORG | 1 |
bolić | GPE | 1 |
bojorquez lucia nikolaia lopez | PERSON | 1 |
bogliolo alessandro | PERSON | 1 |
bluetrace | ORG | 1 |
bluetooth moreover | ORG | 1 |
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bayes nb | PERSON | 1 |
basri s descriptive | ORG | 1 |
assortativity | CHEMICAL | 1 |
authenticity | DISEASE | 1 |
ble_id | ORG | 1 |
bleb bluetooth low energy botnet | ORG | 1 |
bfs | ORG | 1 |
bcg studies | ORG | 1 |
b19 | ORG | 1 |
azure d4s | CHEMICAL | 1 |
auxier | PERSON | 1 |
automatic | PERSON | 1 |
austria | GPE | 1 |
based modeling | PERSON | 1 |
australian government department of health | ORG | 1 |
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australia respiratory | ORG | 1 |
australia potential | ORG | 1 |
australia enhancing | ORG | 1 |
australia 3 | ORG | 1 |
augment contact tracing | ORG | 1 |
atlantic | LOC | 1 |
bmc infectious diseases | ORG | 1 |
bn cdr | ORG | 1 |
bn cowell | PERSON | 1 |
by nc nd 4 0 | ORG | 1 |
bart s health nhs trust nihr | ORG | 1 |
barrett peter m bambury | PERSON | 1 |
barrett peter | DISEASE | 1 |
barcelona | GPE | 1 |
bansal | ORG | 1 |
bangalore | GPE | 1 |
ballantyne angela van bergen | PERSON | 1 |
balabdaoui | PERSON | 1 |
baker | PERSON | 1 |
bacteria | TAXON | 1 |
background social | PERSON | 1 |
backer et al 24 | ORG | 1 |
backer j | ORG | 1 |
bacillus anthracis spores | TAXON | 1 |
bacillus anthracis bacteria | TAXON | 1 |
bacillus anthracis | TAXON | 1 |
bacillus calmette | DISEASE | 1 |
breadth first search bfs | ORG | 1 |
breathing rhythm analysis | ORG | 1 |
british broadcasting corporation | ORG | 1 |
covid 19 park et al 2020 | ORG | 1 |
covid infections | DISEASE | 1 |
covid watch | ORG | 1 |
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covid china | ORG | 1 |
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covid 19 and 74 | ORG | 1 |
covid 19 united states of department of health and human services united states national coordination office for space based positioning navigation and timing coronavirus | ORG | 1 |
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covid 19 norwegian data protection authority datatilsynet declaration | ORG | 1 |
britton tom | PERSON | 1 |
covid 19 medrxiv | ORG | 1 |
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covid 19 headache | ORG | 1 |
covid 19 data | ORG | 1 |
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covid 19 contact tracing mobile apps | ORG | 1 |
covid 19 concerns | ORG | 1 |
covid 19 ausbruchsgeschehens commission recommendation | ORG | 1 |
covid19 sars cov 2 isolation from ocular secretions of a patient with covid 19 | ORG | 1 |
cp ndm 1 bacteria | CHEMICAL | 1 |
cs | ORG | 1 |
csi an intelligent non invasive real time human activity recognition system | ORG | 1 |
carrillo | ORG | 1 |
carreras | GPE | 1 |
carol olela | PERSON | 1 |
cancers | DISEASE | 1 |
cancer | DISEASE | 1 |
canberra australian institute of health and welfare social | ORG | 1 |
camille guérin | PERSON | 1 |
camellia | CHEMICAL | 1 |
cambridge university | ORG | 1 |
calmette guerin bcg | PERSON | 1 |
cadila pharmaceuticals | ORG | 1 |
cadernos de | PERSON | 1 |
cta kirzinger | DISEASE | 1 |
cta berke et al 2020 | ORG | 1 |
ct pepp pt | ORG | 1 |
ct | GPE | 1 |
csi machine | ORG | 1 |
covid 19 1 national level efforts | ORG | 1 |
covd | ORG | 1 |
copd chronic obstructive pulmonary disease | DISEASE | 1 |
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c w ashley | ORG | 1 |
c validation | ORG | 1 |
c panels d e | PERSON | 1 |
c m panel b demographic | ORG | 1 |
béraud | PERSON | 1 |
busvine | PERSON | 1 |
business insider last accessed | ORG | 1 |
burma | GPE | 1 |
bulchandani | PERSON | 1 |
buffering | GPE | 1 |
brzozowski | PERSON | 1 |
brucella melitensis | TAXON | 1 |
brucella bacteria | TAXON | 1 |
brown | PERSON | 1 |
brooks pollock | PERSON | 1 |
broken exploiting low entropy | ORG | 1 |
broeck w | ORG | 1 |
c3d8rh | CHEMICAL | 1 |
casi | ORG | 1 |
contain privacy | ORG | 1 |
caudht contact tracing application using a distributed hash | ORG | 1 |
conclusion eye | ORG | 1 |
colep effectiveness | ORG | 1 |
cnil | GPE | 1 |
cmx | CHEMICAL | 1 |
cmua | ORG | 1 |
cmmid repository | ORG | 1 |
cmmid | ORG | 1 |
cib | GPE | 1 |
ci 31 71 | ORG | 1 |
che | CHEMICAL | 1 |
cfr | ORG | 1 |
cdc weekly 2020 | ORG | 1 |
cdc morbidity | ORG | 1 |
cdc meat and poultry processing workers | ORG | 1 |
cdc interim | ORG | 1 |
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cctv | ORG | 1 |
asynchronous | PERSON | 1 |
association of the built | ORG | 1 |
ghz | ORG | 1 |
agi k | ORG | 1 |
aws azure gcp | ORG | 1 |
aws | CHEMICAL | 1 |
atm | ORG | 1 |
astho | ORG | 1 |
ap nodes | CHEMICAL | 1 |
alm | DISEASE | 1 |
ajk | TAXON | 1 |
ai contact | ORG | 1 |
afda | ORG | 1 |
a model | ORG | 1 |
adp ribose | CHEMICAL | 1 |
acs | DISEASE | 1 |
ace inhibitors | CHEMICAL | 1 |
aamas updating | ORG | 1 |
a wi freeze | PERSON | 1 |
a systematic review of social contact | ORG | 1 |
a systematic review of non contact sensing for developing a platform to contain covid 19 | ORG | 1 |
a systematic review | ORG | 1 |
aarogya setu 12 | PERSON | 1 |
abeysinghe | ORG | 1 |
abueg m hinch | PERSON | 1 |
access | PERSON | 1 |
africa namibia | LOC | 1 |
africa labs | LOC | 1 |
africa case | LOC | 1 |
aetienne deml | CHEMICAL | 1 |
aerosol | GPE | 1 |
aedes | TAXON | 1 |
advantageously | PERSON | 1 |
advances | TAXON | 1 |
advanced | LOC | 1 |
adult | PERSON | 1 |
adolescent sexual behavior | DISEASE | 1 |
adjuvanted influenza vaccine | CHEMICAL | 1 |
acute neurological disease | DISEASE | 1 |
acute respiratory syndrome coronovirus 2 sars cov | DISEASE | 1 |
acute hospital | ORG | 1 |
acquired infection | DISEASE | 1 |
acid amides protein folding | ORG | 1 |
a review of simulation modelling approaches | ORG | 1 |
a m a arch dermatology bcg | ORG | 1 |
assessing disease exposure risk with location data a proposal for cryptographic preservation of privacy contact tracing mobile apps | ORG | 1 |
2020a gan | PERSON | 1 |
2b4 | DISEASE | 1 |
283093 cord_uid 9kz7387z | DISEASE | 1 |
275253 | DISEASE | 1 |
268126 | CHEMICAL | 1 |
260039 | DISEASE | 1 |
248072 | DISEASE | 1 |
227492 | DISEASE | 1 |
22294 | DISEASE | 1 |
2020 parker | PERSON | 1 |
a comprehensive review of current advances in peptide drug development and design the preferred conformation of the tripeptide ala phe ala | ORG | 1 |
20023754 | DISEASE | 1 |
2 b 2 for t c 90 seconds | CHEMICAL | 1 |
2 5 figure 3a | CHEMICAL | 1 |
18218 | DISEASE | 1 |
141541 | DISEASE | 1 |
102587 | DISEASE | 1 |
1 dt | PERSON | 1 |
1 attackers | PERSON | 1 |
315466 | DISEASE | 1 |
335518 | DISEASE | 1 |
3gpp | ORG | 1 |
3t blue | CHEMICAL | 1 |
80 dbm | PERSON | 1 |
8 4 2020 | CHEMICAL | 1 |
7367 | DISEASE | 1 |
6m0j | CHEMICAL | 1 |
69f5445e541847993640ec68027ed73ee1980aa5 | CHEMICAL | 1 |
698ef0f5c9b7d8601fa72967a2adb65221fed135 | CHEMICAL | 1 |
6 world health organization | ORG | 1 |
6 akl et | ORG | 1 |
5kt | CHEMICAL | 1 |
5amino acid | CHEMICAL | 1 |
5 amino acids | CHEMICAL | 1 |
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5 644 | CHEMICAL | 1 |
5 6 anthrax | CHEMICAL | 1 |
4 post | ORG | 1 |
4 dublin health service executive | ORG | 1 |
4 data | ORG | 1 |
afshan | CHEMICAL | 1 |
afshan amin khan | PERSON | 1 |
age specific fatality national age and coresidence | ORG | 1 |
ansgar gerhardus dagmar lühmann | PERSON | 1 |
apple 2020 exposure notifications using | ORG | 1 |
apple 13 | ORG | 1 |
app store | ORG | 1 |
aphthovirus | TAXON | 1 |
aotearoa | GPE | 1 |
antileprosy | CHEMICAL | 1 |
anthrax of the gastrointestinal tract nosocomial | DISEASE | 1 |
anthony fauci | PERSON | 1 |
another national stress test on health disparities localized economic modeling study group | ORG | 1 |
age structure population infectious diseases of humans dynamics | ORG | 1 |
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anne sheahan | PERSON | 1 |
anne mieras | PERSON | 1 |
anne buyx | PERSON | 1 |
anne alexander | PERSON | 1 |
anita mehta | PERSON | 1 |
anglia ruskin university | ORG | 1 |
anglemyer et al 2020 | PERSON | 1 |
apple app stores certification | ORG | 1 |
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appril | PERSON | 1 |
apps gone rogue | ORG | 1 |
aspen | ORG | 1 |
asparagine | CHEMICAL | 1 |
asma naeem | PERSON | 1 |
asma | DISEASE | 1 |
asia africa | LOC | 1 |
arubas wifi | ORG | 1 |
aruba networks 2020 | ORG | 1 |
artificial intelligence for coronavirus outbreak | ORG | 1 |
arshad et al 28 | GPE | 1 |
armauer hansen | PERSON | 1 |
armauer | CHEMICAL | 1 |
ariadne | ORG | 1 |
ardashel latsuzbaia | PERSON | 1 |
arcila | CHEMICAL | 1 |
arxiv australian government department of health covidsafe | ORG | 1 |
apps gone rogue maintaining personal privacy in an epidemic | ORG | 1 |
apps gone rogue maintaining personal privacy | ORG | 1 |
anglemyer | PERSON | 1 |
angiotensin receptor blockers epidemiological | ORG | 1 |
angermann | PERSON | 1 |
aljunid sharifah tahirah | PERSON | 1 |
alimohamadi et al 2020 rki | ORG | 1 |
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algeria j | ORG | 1 |
alexandria adams nathan | ORG | 1 |
alex pentland | PERSON | 1 |
aleta | CHEMICAL | 1 |
alena friedrich | DISEASE | 1 |
aleksandra varshney kush | PERSON | 1 |
albert calmette | PERSON | 1 |
alain | DISEASE | 1 |
airborne disease | DISEASE | 1 |
airborne | PERSON | 1 |
air | ORG | 1 |
ahmed et al 2018 | PERSON | 1 |
agglomerative hierarchical clustering | ORG | 1 |
ages | PERSON | 1 |
agena | PERSON | 1 |
alipay | GPE | 1 |
allergy | DISEASE | 1 |
android herd immunity | ORG | 1 |
alok | CHEMICAL | 1 |
android app | PERSON | 1 |
android a | CHEMICAL | 1 |
andrew chen matt parry | PERSON | 1 |
anastassopoulou | PERSON | 1 |
amy shah | PERSON | 1 |
amy bosse | PERSON | 1 |
amsterdam | GPE | 1 |
amrita | CHEMICAL | 1 |
amnesty international et al 2020 | ORG | 1 |
amnesty international | ORG | 1 |
amino acid | CHEMICAL | 1 |
amigo proximity | PERSON | 1 |
amee | CHEMICAL | 1 |
amazon | ORG | 1 |
amandeep gill | ORG | 1 |
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alok jo | PERSON | 1 |
casecontrol | ORG | 1 |
category a | ORG | 1 |
causal inference | PERSON | 1 |
east and south east asia | LOC | 1 |
edmunds w john | PERSON | 1 |
editorial board | ORG | 1 |
ebola haemorrhagic fever | DISEASE | 1 |
ebola infection | DISEASE | 1 |
ebola hospital healthcare europe facilities | ORG | 1 |
easyband a | ORG | 1 |
eastern europe | LOC | 1 |
easter | LOC | 1 |
east | LOC | 1 |
ehe | ORG | 1 |
early transmission dynamics | ORG | 1 |
ewrs | ORG | 1 |
esbl cre | ORG | 1 |
epsrc | ORG | 1 |
epcc | ORG | 1 |
emr | ORG | 1 |
eiss | ORG | 1 |
ehr cerner millennium electronic health record cerner corp kansas city mo | ORG | 1 |
edmunds w john jarvis christopher | PERSON | 1 |
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edwine | CHEMICAL | 1 |
effective configurations of a digital contact tracing app | ORG | 1 |
epiforecasts | ORG | 1 |
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ensemble cooperative | ORG | 1 |
enemies | ORG | 1 |
employers openabm covid19 | ORG | 1 |
emphasis | ORG | 1 |
emory university technology services | ORG | 1 |
emory center | ORG | 1 |
emmanuel mukabi | PERSON | 1 |
emerging infectious diseases | PERSON | 1 |
emergency department | ORG | 1 |
embase | PERSON | 1 |
elon | DISEASE | 1 |
eigenvalue | ORG | 1 |
egypt | GPE | 1 |
effectiveness of bacillus calmette | ORG | 1 |
ehr | ORG | 1 |
eea | ORG | 1 |
ceftriaxone | CHEMICAL | 1 |
dill | GPE | 1 |
dorey | PERSON | 1 |
don rucker | PERSON | 1 |
doerre a doblhammer g title age | CHEMICAL | 1 |
distribution functions for polypeptide chains intramolecular reactions in polycondensations i | ORG | 1 |
distinctive | ORG | 1 |
distanced u | PERSON | 1 |
distanced | PERSON | 1 |
dis model | PERSON | 1 |
dikovsky | CHEMICAL | 1 |
ee | CHEMICAL | 1 |
dihydrofolate | CHEMICAL | 1 |
digital media | ORG | 1 |
digital contact tracing effectiveness | ORG | 1 |
digital contact tracing | ORG | 1 |
digit health doi | PERSON | 1 |
differential equations | ORG | 1 |
differential | ORG | 1 |
diekmann | PERSON | 1 |
douglas w hertzberg | PERSON | 1 |
doÌ | PERSON | 1 |
dr hannah fry s group kucharski | CHEMICAL | 1 |
drager syndrome | DISEASE | 1 |
ed s informal | ORG | 1 |
ed research | ORG | 1 |
ecdc | PERSON | 1 |
ec | ORG | 1 |
e 1 e 2 e 3 e 4 each | CHEMICAL | 1 |
dynamics of person to person interactions | ORG | 1 |
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dynamic time | PERSON | 1 |
duell | PERSON | 1 |
dublin ireland | PERSON | 1 |
dublin health service executive risk | ORG | 1 |
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dubai | GPE | 1 |
drugs controller | ORG | 1 |
drs lowery north | PERSON | 1 |
droplet | ORG | 1 |
drawing | GPE | 1 |
epimap | ORG | 1 |
epidemic covid | DISEASE | 1 |
epidemic epidemic | DISEASE | 1 |
ferreti | PERSON | 1 |
firth | LOC | 1 |
finally section iv | ORG | 1 |
figshare | ORG | 1 |
figs 3 4 and 5 serves | CHEMICAL | 1 |
figs 13a | PERSON | 1 |
fig 13b | PERSON | 1 |
fig 13a | PERSON | 1 |
fig 1 | GPE | 1 |
fernando rabitz | PERSON | 1 |
epidemic models of contact | ORG | 1 |
ferguson | PERSON | 1 |
fauci | PERSON | 1 |
fauchere pliska | ORG | 1 |
fastloc | DISEASE | 1 |
farrington | GPE | 1 |
farrell 2016 | PERSON | 1 |
faith mbushi eva muluve james b tidwell | PERSON | 1 |
fair | ORG | 1 |
flash | CHEMICAL | 1 |
floor nurse 8 food service 11 | ORG | 1 |
floridi 2020 | CHEMICAL | 1 |
flusense | CHEMICAL | 1 |
gcg smartphone s device id | DISEASE | 1 |
ga pptp dp | ORG | 1 |
g h | ORG | 1 |
g c band | ORG | 1 |
further android | ORG | 1 |
frassl | LOC | 1 |
fraser | PERSON | 1 |
francis 2004 | PERSON | 1 |
francis | PERSON | 1 |
fourth | DISEASE | 1 |
fossil sport | LOC | 1 |
foot | PERSON | 1 |
folkman | ORG | 1 |
folkhälsomyndigheten | CHEMICAL | 1 |
flynn | PERSON | 1 |
flyer | CHEMICAL | 1 |
flute | CHEMICAL | 1 |
failures | DISEASE | 1 |
failure | DISEASE | 1 |
fadel 2012b marakhimov | ORG | 1 |
europe s | LOC | 1 |
eubank | CHEMICAL | 1 |
ethische | ORG | 1 |
ethiopia tanzania | GPE | 1 |
ethiopia | GPE | 1 |
estimating potential infection transmission routes | ORG | 1 |
esther kariuki juliet | PERSON | 1 |
erbil iraq school of mathematics and computer science university of wolverhampton | ORG | 1 |
erasmus mc rotterdam | PERSON | 1 |
erasmus mc | PERSON | 1 |
eq 1 mobility | ORG | 1 |
eq | PERSON | 1 |
epidemiology of transmissible diseases | ORG | 1 |
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epidemiology infection social | ORG | 1 |
epidemiologists | ORG | 1 |
epidemiological investigation support system | ORG | 1 |
epidemic spreading | ORG | 1 |
euler lagrange | PERSON | 1 |
european centre for disease prevention | ORG | 1 |
fadel 2012a | PERSON | 1 |
european data protection | ORG | 1 |
facebook messenger | PERSON | 1 |
fwg | ORG | 1 |
frtcs | ORG | 1 |
fn tn tn fp | ORG | 1 |
fn fp tn fp | ORG | 1 |
fn fp tn | ORG | 1 |
ff100 | CHEMICAL | 1 |
femsnapshots | ORG | 1 |
fem note | ORG | 1 |
external photoscanning human monoclonal antibodies | ORG | 1 |
extensions | ORG | 1 |
express | ORG | 1 |
exposed traditional | PERSON | 1 |
expert systems | ORG | 1 |
experimental performance evaluation of ble 4 versus | ORG | 1 |
examine | ORG | 1 |
evangelia | DISEASE | 1 |
diagnostic | GPE | 1 |
diagnosis | GPE | 1 |
diagnosing covid | PERSON | 1 |
comité | CHEMICAL | 1 |
comte brigitte | PERSON | 1 |
computing numba | PERSON | 1 |
compressive | ORG | 1 |
competing | DISEASE | 1 |
comoros | GPE | 1 |
commonwealth | ORG | 1 |
commodity wifi devices resilient respiration rate monitoring with realtime bimodal csi data cognitive intelligence for monitoring fractured post | ORG | 1 |
comm2sense | CHEMICAL | 1 |
comins et al 1992 grenfell | ORG | 1 |
coronaviruses a decade | DISEASE | 1 |
comins | CHEMICAL | 1 |
colours | ORG | 1 |
colorado usa | ORG | 1 |
colombo | ORG | 1 |
colombia south america prevalence | ORG | 1 |
collecting | ORG | 1 |
collapsing | GPE | 1 |
cochrane embase pubmed medline research | ORG | 1 |
confidential | PERSON | 1 |
conformational flexibility trifluoroethanol induced stabilization | ORG | 1 |
connect | GPE | 1 |
contact tracing | ORG | 1 |
coronavirus pneumonia | DISEASE | 1 |
coronavirus people | TAXON | 1 |
coronavirus nonstructural proteins | TAXON | 1 |
coronavirus nonstructural protein | TAXON | 1 |
coronavirus nhs | DISEASE | 1 |
cork kerry results | PERSON | 1 |
controle | CHEMICAL | 1 |
control using | ORG | 1 |
control strategy | ORG | 1 |
control heterogeneities | ORG | 1 |
control data | ORG | 1 |
control aligning models | ORG | 1 |
containing papers | PERSON | 1 |
contagion the bbc4 pandemic | ORG | 1 |
contact tracing for infectious diseases using passive | ORG | 1 |
contact tracing since | ORG | 1 |
contact tracing applications | ORG | 1 |
cochrane embase pubmed medline research gate | ORG | 1 |
coarse grain proximity | DISEASE | 1 |
coepi | ORG | 1 |
chinacell a | ORG | 1 |
china european centre for disease prevention | ORG | 1 |
china city | GPE | 1 |
china a systematic review and synthesis of predictions from transmission dynamic models | ORG | 1 |
chiao | PERSON | 1 |
chet | CHEMICAL | 1 |
chemo | CHEMICAL | 1 |
characterizing | GPE | 1 |
character | DISEASE | 1 |
chaos computer club 2020 human rights watch 2020 swiss national advisory commission | ORG | 1 |
channel state information wireless sensing for human activity | ORG | 1 |
chandini | CHEMICAL | 1 |
chan spector | PERSON | 1 |
cerebellar dysfunction | DISEASE | 1 |
cerebellar ataxia | DISEASE | 1 |
century technologies | ORG | 1 |
central | ORG | 1 |
centers for disease prevention | ORG | 1 |
china zhang | PERSON | 1 |
chinazzi | ORG | 1 |
clustering | ORG | 1 |
chlamydia trachomatis infection sexual behaviour | DISEASE | 1 |
clough | CHEMICAL | 1 |
close | PERSON | 1 |
clin proc | PERSON | 1 |
clients | ORG | 1 |
clever | ORG | 1 |
clark eva chiao elizabeth | PERSON | 1 |
clarithromycin | CHEMICAL | 1 |
citizen empowerment for epidemic control | ORG | 1 |
cisco systems | ORG | 1 |
cisco aruba | GPE | 1 |
ciro cattut | PERSON | 1 |
chuuk state federated states | GPE | 1 |
chung | PERSON | 1 |
christopher f hill | PERSON | 1 |
christoph günther | ORG | 1 |
cho | CHEMICAL | 1 |
chloroquine | CHEMICAL | 1 |
coronavirus crisis | DISEASE | 1 |
coronaviurs infected pneumonia | DISEASE | 1 |
dexamethasone | CHEMICAL | 1 |
dataset s4 | PERSON | 1 |
dazza keegan | PERSON | 1 |
davies | GPE | 1 |
davidson 2020 mozur et al | PERSON | 1 |
davidson 2020 mozur et | PERSON | 1 |
davidson 2020 | ORG | 1 |
david p | PERSON | 1 |
david arcila beatriz | PERSON | 1 |
dataset s5 | PERSON | 1 |
database oracle corp redwood shores ca | ORG | 1 |
cost analysis | ORG | 1 |
danquah et al 2019 | PERSON | 1 |
danielle | GPE | 1 |
daniel j | PERSON | 1 |
daniel günther | PERSON | 1 |
danger pose detection system using commodity | ORG | 1 |
dandel he | PERSON | 1 |
dandel | CHEMICAL | 1 |
dagmar starke | PERSON | 1 |
de matos et al | ORG | 1 |
de vynck 2020 ct | ORG | 1 |
deborah birx 14 | PERSON | 1 |
declercq | ORG | 1 |
devices | GPE | 1 |
device mac | ORG | 1 |
device free domain independent gesture recognition micro doppler based human activity classification using the mote scale bumblebee radar device | ORG | 1 |
deutschland impact | ORG | 1 |
determine | CHEMICAL | 1 |
design | ORG | 1 |
depression | DISEASE | 1 |
depending | PERSON | 1 |
department of health management of hazard group | ORG | 1 |
department of health | ORG | 1 |
demographic data | ORG | 1 |
deliberate releases of biological agents initial | ORG | 1 |
del fava et al | PERSON | 1 |
del fava | CHEMICAL | 1 |
deforche | CHEMICAL | 1 |
deep learning seizure | ORG | 1 |
deep | PERSON | 1 |
da cunha et al | PERSON | 1 |
dua users | ORG | 1 |
dres | CHEMICAL | 1 |
crossbow labs 10 | ORG | 1 |
cross | ORG | 1 |
crook | GPE | 1 |
crocker | PERSON | 1 |
critical review | ORG | 1 |
crisis | ORG | 1 |
cressida kinnear | PERSON | 1 |
creative commons | ORG | 1 |
coxiella brucella vhf | PERSON | 1 |
coxiella brucella | TAXON | 1 |
covid watch | PERSON | 1 |
covid symptom tracker | PERSON | 1 |
covid safe australia | ORG | 1 |
covid notions | PERSON | 1 |
covid 19 q a | ORG | 1 |
covid 19 interim | ORG | 1 |
coveted coronavirus | CHEMICAL | 1 |
cousins 2020 binny et al | ORG | 1 |
crossbow labs | ORG | 1 |
curious | CHEMICAL | 1 |
dpa | CHEMICAL | 1 |
curves | ORG | 1 |
dor tp | CHEMICAL | 1 |
doh | PERSON | 1 |
doaj | ORG | 1 |
dm ss | ORG | 1 |
dm | CHEMICAL | 1 |
dlr | ORG | 1 |
djw | ORG | 1 |
digit srl | PERSON | 1 |
dht | CHEMICAL | 1 |
ddos | ORG | 1 |
dde | CHEMICAL | 1 |
da | CHEMICAL | 1 |
d68 | CHEMICAL | 1 |
d the entire infrastructure | CHEMICAL | 1 |
d d s | CHEMICAL | 1 |
d 0 d 0 for | CHEMICAL | 1 |
customs enforcement ice | ORG | 1 |
psmsa | ORG | 1 |
topological | ORG | 1 |
ptti python | GPE | 1 |
infectious i | DISEASE | 1 |
infectious diseases epidemic | DISEASE | 1 |
infectious disease coronavirus disease | DISEASE | 1 |
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infectious sq | DISEASE | 1 |
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infectious i infectious r | DISEASE | 1 |
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infectious i infected | DISEASE | 1 |
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infection infected | DISEASE | 1 |
infection disease | DISEASE | 1 |
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infection d | DISEASE | 1 |
infection cdc | DISEASE | 1 |
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infectious infectious | DISEASE | 1 |
infectious symptomatic | DISEASE | 1 |
infectious to others | DISEASE | 1 |
influenza related symptoms weingarten | DISEASE | 1 |
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influenza like symptoms a new symptom of covid 19 loss of taste and smell a | DISEASE | 1 |
influenza like symptoms | DISEASE | 1 |
influenza infection | DISEASE | 1 |
influenza and respiratory syncytial virus in the united states influenza | DISEASE | 1 |
influenza and respiratory syncytial virus in the united | DISEASE | 1 |
influenza recalibrating disease | DISEASE | 1 |
influenza b | DISEASE | 1 |
influenza a hemagglutinin | DISEASE | 1 |
influenza a h5n1 viruses | DISEASE | 1 |
influenza a h5n1 virus was transmitted from live poultry to humans in hong kong special administrative region people s | DISEASE | 1 |
influenza a h5n1 disease | DISEASE | 1 |
influenza a h1n1 virus via global airline transportation calculating the potential for withinflight transmission of influenza a h1n1 | DISEASE | 1 |
influenza a h1n1 virus kinetics and symptom dynamics household transmission of pandemic 2009 influenza a h1n1 virus in osaka contacting passengers after exposure to measles on an international flight | DISEASE | 1 |
influenza a h1n1 2009 close contacts of cases were traced to provide antiviral prophylaxis within 48 h after exposure and to alert them on signs of disease | DISEASE | 1 |
infectious when respiratory tract symptoms | DISEASE | 1 |
infected cluster | DISEASE | 1 |
infected id | DISEASE | 1 |
nontraced | DISEASE | 1 |
herd immunity | DISEASE | 1 |
human immunoglobulin | TAXON | 1 |
human host | TAXON | 1 |
human coronavirus | TAXON | 1 |
hree | DISEASE | 1 |
host | TAXON | 1 |
honey infected | DISEASE | 1 |
honda | ORG | 1 |
hoarding | DISEASE | 1 |
hemorrhagic | DISEASE | 1 |
infant death syndrome | DISEASE | 1 |
heart rate sleep disorder | DISEASE | 1 |
healthcare system combines signal processing | ORG | 1 |
headaches | DISEASE | 1 |
headache sore throat and shortness of breath while symptoms | DISEASE | 1 |
h1n1v | CHEMICAL | 1 |
guests | CHEMICAL | 1 |
greyhound | TAXON | 1 |
green yellow | CHEMICAL | 1 |
human infection | DISEASE | 1 |
human infections | DISEASE | 1 |
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hydrogen | CHEMICAL | 1 |
inequality | DISEASE | 1 |
individuals modified | TAXON | 1 |
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impaired by disease symptoms | DISEASE | 1 |
immunogenic characteristics | ORG | 1 |
immunocompromised | DISEASE | 1 |
illness if symptoms | DISEASE | 1 |
ieee org | PERSON | 1 |
iphones google | PERSON | 1 |
iphone samsung motorola | ORG | 1 |
ios gcg | ORG | 1 |
ios | ORG | 1 |
ibeacons | ORG | 1 |
ibeacon | ORG | 1 |
i7 7700k | CHEMICAL | 1 |
hydrophobicity | DISEASE | 1 |
hydrogen peroxide a | CHEMICAL | 1 |
influenza symptoms | DISEASE | 1 |
influenza symptoms cdc | DISEASE | 1 |
influenza vaccination | ORG | 1 |
meticillin | CHEMICAL | 1 |
mouse | TAXON | 1 |
mosquitoes | TAXON | 1 |
morbidity infection | DISEASE | 1 |
mm | PERSON | 1 |
minibus | GPE | 1 |
middle east | LOC | 1 |
microbes | TAXON | 1 |
microbe | TAXON | 1 |
methicillin | CHEMICAL | 1 |
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melioidosis | DISEASE | 1 |
melanoma | DISEASE | 1 |
mass infection | DISEASE | 1 |
markerblue color | CHEMICAL | 1 |
malaria infection | DISEASE | 1 |
malaria disease | DISEASE | 1 |
magnetic distortions | DISEASE | 1 |
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moxifloxacin | CHEMICAL | 1 |
muct | PERSON | 1 |
multibacillary leprosy | DISEASE | 1 |
noncommunicable diseases | DISEASE | 1 |
nieuw | CHEMICAL | 1 |
neuropathy | DISEASE | 1 |
neuromuscular disorder | DISEASE | 1 |
neurological disorders | DISEASE | 1 |
neurological disease | DISEASE | 1 |
neurologic disorder | DISEASE | 1 |
national influenza laboratory | ORG | 1 |
ncov methods | ORG | 1 |
ncov isolation | ORG | 1 |
n l | ORG | 1 |
n cont n loop | ORG | 1 |
myopia | DISEASE | 1 |
myocardial infarction | DISEASE | 1 |
mycobacterial vaccines | TAXON | 1 |
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multiple sclerosis | DISEASE | 1 |
magnetic anomalies | DISEASE | 1 |
mac | ORG | 1 |
m8f6de33 contact | PERSON | 1 |
laryngeal movements neurological manifestations | DISEASE | 1 |
labor intensive deployed | DISEASE | 1 |
l k l | PERSON | 1 |
kurdistan | GPE | 1 |
keyvalue | CHEMICAL | 1 |
kayhan ieee org | PERSON | 1 |
kt | GPE | 1 |
jamia | DISEASE | 1 |
iraq | GPE | 1 |
introdutória para | PERSON | 1 |
interpersonal behavior | DISEASE | 1 |
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insufficiencies | DISEASE | 1 |
installations | TAXON | 1 |
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lariat loop | ORG | 1 |
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m8f6de33 | PERSON | 1 |
lengths s | PERSON | 1 |
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los establecimientos | ORG | 1 |
loop lengths | ORG | 1 |
lockdowns planning hospital bed capacity | ORG | 1 |
liver or renal disease | DISEASE | 1 |
less twenty five percent | ORG | 1 |
leprosy reactions | DISEASE | 1 |
leprosy cluster | DISEASE | 1 |
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leprosy leprosy | DISEASE | 1 |
lepromin | PERSON | 1 |
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lepromatous borderline | DISEASE | 1 |
green color | CHEMICAL | 1 |
green | CHEMICAL | 1 |
goats | TAXON | 1 |
conjunctival congestion | DISEASE | 1 |
cord 186764 | DISEASE | 1 |
cord 141541 | DISEASE | 1 |
cord 136138 | DISEASE | 1 |
cord 102587 | DISEASE | 1 |
cord 007367 e31zhty6 | DISEASE | 1 |
coordination movements | DISEASE | 1 |
contamination | DISEASE | 1 |
contagion suppression | DISEASE | 1 |
conflict | DISEASE | 1 |
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complacency | DISEASE | 1 |
communicable diseases | DISEASE | 1 |
commensal | TAXON | 1 |
clofazimine | CHEMICAL | 1 |
clarithromycin | CHEMICAL | 1 |
cid | TAXON | 1 |
chronic diseases | DISEASE | 1 |
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cord 227492 | DISEASE | 1 |
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cord 251676 | DISEASE | 1 |
cord 255910 | DISEASE | 1 |
cord_uid 1o0rf0ii image | ORG | 1 |
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cord 332194 | CHEMICAL | 1 |
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cord 285105 72v6qufw | DISEASE | 1 |
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cord 268463 ehp0q0ry | CHEMICAL | 1 |
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cord 260797 tc3pueow | CHEMICAL | 1 |
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cord 257801 | DISEASE | 1 |
cord 255956 xfky1q4p | CHEMICAL | 1 |
chickenpox | DISEASE | 1 |
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chaos | DISEASE | 1 |
bj8u0dtk coronavirus disease | DISEASE | 1 |
biothreat | TAXON | 1 |
bedsores | DISEASE | 1 |
bedaquiline rifapentine oxazolidinone | CHEMICAL | 1 |
becomes infected | DISEASE | 1 |
bbc | ORG | 1 |
balance disorders | DISEASE | 1 |
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badges hospital | ORG | 1 |
bacterium bacillus anthracis | CHEMICAL | 1 |
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b909d1e54df6b882bf161dc88ed73f37a1518ebb | GPE | 1 |
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avian flu | PERSON | 1 |
bj8u0dtk | DISEASE | 1 |
blindness | DISEASE | 1 |
cerebellar dysfunction | DISEASE | 1 |
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ceftriaxone | CHEMICAL | 1 |