This is a table of type bigram and their frequencies. Use it to search & browse the list to learn more about your study carrel.
bigram | frequency |
---|---|
public health | 12334 |
mental health | 6245 |
health care | 6124 |
global health | 2386 |
world health | 2072 |
infectious diseases | 1889 |
health services | 1854 |
united states | 1728 |
health organization | 1705 |
health system | 1501 |
health systems | 1448 |
infectious disease | 1423 |
systematic review | 1235 |
one health | 1081 |
risk factors | 1063 |
respiratory syndrome | 1056 |
acute respiratory | 1017 |
pandemic influenza | 976 |
health outcomes | 904 |
climate change | 886 |
care workers | 883 |
health problems | 882 |
cord uid | 882 |
disease control | 882 |
doc id | 882 |
health literacy | 876 |
severe acute | 846 |
healthcare workers | 840 |
primary care | 816 |
older adults | 803 |
health security | 794 |
human rights | 782 |
health workers | 770 |
health professionals | 767 |
infection control | 746 |
national health | 738 |
coronavirus disease | 720 |
social support | 705 |
income countries | 692 |
developing countries | 690 |
novel coronavirus | 689 |
social media | 682 |
hong kong | 675 |
international health | 611 |
health policy | 609 |
social distancing | 601 |
health research | 589 |
influenza virus | 588 |
hiv aids | 585 |
health information | 584 |
health insurance | 582 |
physical activity | 579 |
extracellular vesicles | 577 |
health emergency | 576 |
human health | 575 |
health service | 575 |
health status | 566 |
health promotion | 562 |
summary conclusion | 561 |
influenza pandemic | 544 |
population health | 540 |
data collection | 518 |
hand hygiene | 509 |
ebola virus | 487 |
communicable diseases | 480 |
community health | 473 |
summary conclusions | 468 |
health issues | 467 |
intensive care | 460 |
older people | 459 |
disease outbreaks | 459 |
united nations | 453 |
health behaviors | 453 |
general population | 449 |
avian influenza | 446 |
care system | 445 |
member states | 441 |
may also | 440 |
social determinants | 438 |
emerging infectious | 438 |
care providers | 437 |
health sector | 436 |
protective equipment | 435 |
health emergencies | 423 |
care services | 422 |
patient care | 402 |
physical health | 396 |
new york | 395 |
health regulations | 394 |
medical care | 392 |
personal protective | 390 |
high risk | 388 |
influenza viruses | 385 |
oral health | 380 |
blood donors | 378 |
primary health | 374 |
risk assessment | 373 |
universal health | 373 |
health authorities | 368 |
health interventions | 367 |
disease surveillance | 365 |
middle east | 357 |
blood pressure | 353 |
health education | 349 |
increased risk | 340 |
antimicrobial resistance | 339 |
breast cancer | 339 |
decision making | 329 |
many countries | 325 |
clinical trials | 325 |
health coverage | 324 |
surveillance systems | 323 |
west africa | 319 |
health surveillance | 318 |
virus disease | 318 |
chronic disease | 317 |
healthcare system | 317 |
chronic diseases | 317 |
air pollution | 316 |
health conditions | 315 |
case study | 312 |
general public | 306 |
health needs | 305 |
psychological distress | 304 |
animal health | 302 |
control measures | 299 |
controlled trial | 294 |
occupational health | 293 |
mental illness | 293 |
care facilities | 291 |
risk factor | 290 |
health risks | 288 |
child health | 286 |
cohort study | 285 |
palliative care | 285 |
health equity | 282 |
global public | 281 |
surveillance system | 281 |
family members | 281 |
seasonal influenza | 280 |
critical care | 280 |
disease prevention | 276 |
health measures | 276 |
sectional study | 275 |
logistic regression | 274 |
medical students | 273 |
years old | 273 |
social isolation | 272 |
cardiovascular disease | 272 |
higher risk | 268 |
clinical practice | 267 |
ebola outbreak | 267 |
health resources | 265 |
world bank | 264 |
sustainable development | 263 |
health approach | 263 |
statistically significant | 262 |
informed consent | 261 |
health threats | 259 |
confirmed cases | 258 |
information systems | 255 |
substance use | 254 |
physical distancing | 254 |
randomized controlled | 254 |
south africa | 254 |
emergency response | 254 |
infection prevention | 250 |
pregnant women | 248 |
care systems | 248 |
risk communication | 246 |
policy makers | 246 |
united kingdom | 245 |
developed countries | 245 |
syndromic surveillance | 245 |
local health | 244 |
health effects | 244 |
working group | 244 |
care unit | 243 |
st century | 242 |
mortality rates | 242 |
sars outbreak | 242 |
health behavior | 240 |
service delivery | 239 |
lessons learned | 238 |
healthcare professionals | 238 |
syndrome coronavirus | 238 |
heart disease | 238 |
respiratory tract | 237 |
contact tracing | 236 |
care settings | 236 |
even though | 235 |
rural areas | 233 |
important role | 233 |
east respiratory | 233 |
blood group | 233 |
private sector | 232 |
healthcare facilities | 230 |
psychological impact | 230 |
communicable disease | 230 |
environmental health | 229 |
risk management | 228 |
national institute | 228 |
present study | 228 |
health crisis | 228 |
control group | 228 |
million people | 227 |
health centers | 227 |
virus infection | 227 |
health departments | 227 |
will also | 226 |
data analysis | 225 |
wide range | 225 |
health policies | 223 |
early detection | 223 |
blood transfusion | 222 |
life expectancy | 222 |
human resources | 222 |
per capita | 221 |
recent years | 220 |
health facilities | 220 |
per year | 219 |
health officials | 218 |
health response | 218 |
health agencies | 218 |
flow cytometry | 217 |
disease outbreak | 217 |
sierra leone | 217 |
literature review | 216 |
health governance | 215 |
zoonotic diseases | 215 |
emergency preparedness | 215 |
medical staff | 215 |
machine learning | 215 |
whole blood | 213 |
care professionals | 213 |
antibiotic resistance | 212 |
factors associated | 212 |
medical education | 211 |
digital health | 210 |
total number | 210 |
vulnerable populations | 208 |
significantly higher | 205 |
health workforce | 205 |
among health | 205 |
artificial intelligence | 204 |
will require | 204 |
electronic health | 203 |
pandemic preparedness | 203 |
european union | 202 |
mental disorders | 201 |
term care | 201 |
made available | 200 |
systematic reviews | 199 |
development goals | 199 |
care delivery | 197 |
emergency department | 197 |
least one | 196 |
stress disorder | 196 |
long term | 196 |
socioeconomic status | 194 |
urban areas | 194 |
first time | 193 |
blood donation | 193 |
central venous | 193 |
health impact | 192 |
red blood | 192 |
healthcare providers | 192 |
economic development | 191 |
task force | 191 |
authors declare | 191 |
abstract background | 190 |
health concerns | 190 |
will need | 190 |
food safety | 188 |
age groups | 186 |
health problem | 185 |
copyright holder | 185 |
nursing homes | 184 |
people living | 184 |
infectious agents | 182 |
clinical trial | 181 |
significant differences | 181 |
depressive symptoms | 181 |
health protection | 180 |
staphylococcus aureus | 180 |
health disparities | 179 |
health data | 179 |
healthcare services | 178 |
health doi | 178 |
age group | 178 |
cell lines | 177 |
health consequences | 177 |
human services | 177 |
large number | 176 |
high levels | 175 |
granted medrxiv | 174 |
data sharing | 174 |
saudi arabia | 174 |
author funder | 174 |
fatality rate | 173 |
global burden | 173 |
less likely | 173 |
among older | 173 |
healthcare systems | 173 |
national level | 172 |
mean age | 172 |
th century | 170 |
immune system | 170 |
traumatic stress | 169 |
information technology | 169 |
european countries | 168 |
current study | 168 |
higher levels | 168 |
may lead | 167 |
previous studies | 167 |
health risk | 167 |
health impacts | 167 |
saharan africa | 166 |
health management | 166 |
scoping review | 166 |
health challenges | 166 |
qualitative study | 165 |
international concern | 164 |
civil society | 164 |
type diabetes | 164 |
future research | 164 |
health inequalities | 163 |
improve health | 163 |
big data | 162 |
posttraumatic stress | 162 |
sample size | 162 |
health department | 162 |
high level | 161 |
best practices | 161 |
quality improvement | 160 |
international law | 160 |
will help | 160 |
health center | 160 |
will continue | 159 |
public policy | 159 |
federal government | 159 |
rural public | 159 |
african countries | 158 |
adverse events | 158 |
version posted | 158 |
drug use | 158 |
respiratory infections | 157 |
health infrastructure | 157 |
latin america | 157 |
influenza vaccination | 157 |
diabetes mellitus | 157 |
research team | 156 |
electron microscopy | 156 |
social care | 156 |
muscle mass | 156 |
blood products | 156 |
see table | 156 |
information system | 156 |
preventive measures | 155 |
reproductive health | 155 |
working conditions | 154 |
health organisation | 154 |
health law | 154 |
care units | 153 |
mortality rate | 153 |
health programs | 153 |
competing interests | 153 |
related health | 152 |
drinking water | 152 |
natural disasters | 152 |
disease transmission | 152 |
stem cell | 150 |
disaster medicine | 150 |
behavioral health | 149 |
may help | 149 |
urban health | 149 |
real time | 149 |
health preparedness | 149 |
food security | 149 |
critically ill | 147 |
steering committee | 147 |
north america | 147 |
international community | 146 |
swine flu | 146 |
resource allocation | 146 |
derived evs | 146 |
peer review | 146 |
substance abuse | 146 |
study design | 145 |
influenza vaccine | 145 |
respiratory disease | 144 |
economic growth | 144 |
human beings | 143 |
determine whether | 143 |
general practice | 143 |
many people | 142 |
emerging diseases | 142 |
open access | 142 |
social relations | 142 |
nanoparticle tracking | 141 |
young people | 141 |
surveillance data | 140 |
weight loss | 140 |
highly pathogenic | 140 |
basic public | 139 |
chinese government | 139 |
medical services | 139 |
adverse effects | 138 |
case fatality | 138 |
sars epidemic | 137 |
pilot study | 137 |
social networks | 137 |
tracking analysis | 137 |
data collected | 137 |
core capacities | 136 |
global pandemic | 136 |
risk reduction | 136 |
environmental factors | 136 |
health inequities | 135 |
emergency management | 135 |
immune response | 135 |
significant difference | 135 |
sickness absence | 135 |
disease burden | 134 |
health diplomacy | 134 |
public sector | 134 |
southeast asia | 134 |
will provide | 134 |
west african | 134 |
ethical issues | 133 |
body mass | 133 |
law enforcement | 133 |
chronic conditions | 133 |
national security | 133 |
medical conditions | 133 |
poor health | 132 |
york city | 132 |
capacity building | 132 |
dental care | 132 |
allocation efficiency | 132 |
associated infections | 132 |
west nile | 132 |
human security | 132 |
infl uenza | 132 |
patient safety | 131 |
mass index | 131 |
blood cells | 131 |
close contact | 131 |
action plan | 130 |
red cell | 130 |
yellow fever | 130 |
significantly associated | 130 |
blood components | 130 |
commonly used | 130 |
pandemic response | 130 |
clinical care | 129 |
ebola epidemic | 129 |
vector control | 129 |
rights reserved | 129 |
vulnerable groups | 129 |
health assembly | 129 |
south korea | 129 |
prostate cancer | 129 |
high school | 128 |
health records | 128 |
one study | 128 |
randomised controlled | 128 |
urinary tract | 128 |
case studies | 128 |
heart failure | 128 |
cognitive impairment | 127 |
health informatics | 127 |
acute care | 127 |
evidence base | 127 |
early warning | 127 |
new zealand | 127 |
performed using | 127 |
service providers | 127 |
new public | 126 |
lung cancer | 126 |
community members | 126 |
homeless people | 126 |
suspected cases | 126 |
social services | 126 |
current pandemic | 126 |
general health | 126 |
better understand | 125 |
among patients | 125 |
creative commons | 125 |
health benefits | 125 |
may need | 125 |
psychological health | 125 |
incubation period | 125 |
controlled trials | 125 |
behavior change | 125 |
different types | 124 |
cell culture | 124 |
ill patients | 124 |
widely used | 124 |
financial support | 124 |
past years | 124 |
may provide | 123 |
national public | 123 |
tract infections | 123 |
aged years | 122 |
health agency | 122 |
borne diseases | 121 |
based interventions | 121 |
western blot | 121 |
different countries | 121 |
one hand | 121 |
inclusion criteria | 121 |
health events | 121 |
risk groups | 120 |
health community | 120 |
among children | 120 |
best practice | 120 |
stem cells | 120 |
resistant staphylococcus | 120 |
risk perception | 120 |
social capital | 119 |
cancer patients | 119 |
good health | 119 |
direct contact | 119 |
also found | 118 |
longitudinal study | 118 |
human transmission | 118 |
face masks | 117 |
international organizations | 117 |
public hospitals | 117 |
blood bank | 117 |
cardiovascular diseases | 117 |
health personnel | 117 |
general practitioners | 117 |
clinical characteristics | 117 |
better health | 117 |
per day | 117 |
outbreak response | 116 |
avian flu | 116 |
side effects | 116 |
online survey | 116 |
elderly people | 116 |
care needs | 116 |
among women | 116 |
study conducted | 115 |
limited resources | 115 |
smoking cessation | 115 |
occupational safety | 115 |
nosocomial infections | 115 |
air quality | 115 |
based health | 115 |
international license | 115 |
medical research | 115 |
noncommunicable diseases | 115 |
health indicators | 114 |
health initiatives | 114 |
east asia | 114 |
care facility | 114 |
data sources | 114 |
fake news | 114 |
disease management | 114 |
physical performance | 113 |
hospitalized patients | 113 |
hiv infection | 113 |
improving health | 113 |
young children | 113 |
conceptual framework | 113 |
disease threats | 113 |
primary healthcare | 113 |
home care | 113 |
first step | 113 |
drug resistance | 112 |
emergency departments | 112 |
two groups | 112 |
information sharing | 112 |
local government | 112 |
regression analysis | 112 |
coronavirus pandemic | 112 |
among others | 112 |
national institutes | 111 |
economic impact | 111 |
nile virus | 110 |
health institutions | 110 |
integrated care | 110 |
zika virus | 110 |
body weight | 110 |
may result | 110 |
tobacco control | 110 |
health science | 110 |
local public | 110 |
antibiotic use | 110 |
respiratory illness | 109 |
refugee children | 109 |
local level | 109 |
health providers | 109 |
health sciences | 109 |
clinical features | 109 |
health support | 109 |
abcd study | 108 |
advisory committee | 108 |
health crises | 108 |
blood cell | 108 |
infected patients | 107 |
health professional | 107 |
better understanding | 107 |
health practice | 107 |
higher rates | 107 |
coronary heart | 106 |
coping strategies | 106 |
health activities | 106 |
nursing home | 106 |
research priorities | 106 |
loved ones | 105 |
disaster risk | 105 |
regression model | 105 |
gender differences | 105 |
infant mortality | 105 |
study found | 105 |
hemorrhagic fever | 105 |
venous catheters | 104 |
disease risk | 104 |
blood donor | 104 |
health threat | 104 |
test results | 104 |
prospective study | 104 |
high quality | 104 |
health disorders | 103 |
health worker | 103 |
bone marrow | 102 |
high prevalence | 102 |
may include | 102 |
school health | 102 |
foreign policy | 102 |
surge capacity | 102 |
based practice | 102 |
msk health | 101 |
prospective cohort | 101 |
emerging infections | 101 |
measured using | 100 |
years ago | 100 |
social justice | 100 |
population density | 100 |
new technologies | 100 |
clinical research | 100 |
supply chain | 100 |
disease emergence | 100 |
last years | 100 |
new cases | 100 |
findings suggest | 99 |
young adults | 99 |
human influenza | 99 |
behaviour change | 99 |
negative impact | 99 |
training programs | 99 |
early stages | 99 |
drug users | 98 |
information exchange | 98 |
health expenditure | 98 |
health record | 98 |
veterinary medicine | 98 |
zoonotic disease | 98 |
two decades | 98 |
cancer cells | 98 |
local governments | 98 |
data will | 97 |
statistical analysis | 97 |
grip strength | 97 |
scientific evidence | 97 |
hubei province | 97 |
deep learning | 97 |
maternal mortality | 97 |
different levels | 97 |
periodontal disease | 97 |
medical records | 97 |
rapid response | 97 |
infection risk | 97 |
last decade | 97 |
public voice | 97 |
healthcare delivery | 96 |
also used | 96 |
will likely | 96 |
results suggest | 96 |
mass gatherings | 96 |
anxiety disorder | 96 |
psychiatric disorders | 96 |
hand washing | 96 |
significantly lower | 96 |
may increase | 95 |
linear regression | 95 |
qualitative research | 95 |
clinical data | 95 |
several studies | 95 |
health promoting | 94 |
based care | 94 |
healthy people | 94 |
individual health | 94 |
case management | 94 |
infection rates | 94 |
respiratory diseases | 94 |
demographic characteristics | 94 |
regression models | 94 |
also important | 94 |
greater risk | 94 |
food insecurity | 94 |
rated health | 93 |
body fluids | 93 |
ethics committee | 93 |
two weeks | 93 |
health practitioners | 93 |
social sciences | 93 |
current covid | 93 |
personal health | 93 |
must also | 93 |
upper respiratory | 93 |
time pcr | 93 |
swine influenza | 93 |
viral load | 93 |
health commission | 92 |
health development | 92 |
essential services | 92 |
assessed using | 92 |
living conditions | 92 |
lower respiratory | 92 |
financial resources | 92 |
rapid review | 92 |
industrialized countries | 92 |
nervous system | 92 |
private health | 92 |
health determinants | 92 |
large numbers | 92 |
study also | 91 |
based approach | 91 |
study showed | 91 |
perceived stress | 91 |
universal access | 91 |
quality control | 91 |
confidence interval | 91 |
alcohol use | 91 |
may cause | 91 |
health experts | 91 |
respiratory symptoms | 91 |
alcohol consumption | 91 |
lower levels | 90 |
previous research | 90 |
overall health | 90 |
vast majority | 90 |
many different | 90 |
i think | 90 |
much higher | 90 |
table shows | 90 |
outcomes among | 90 |
future studies | 89 |
myocardial infarction | 89 |
global governance | 89 |
among people | 89 |
economic status | 89 |
reported cases | 89 |
impact assessment | 89 |
coronavirus outbreak | 89 |
preventive health | 89 |
infected cells | 88 |
research questions | 88 |
amino acid | 88 |
developing world | 88 |
educational attainment | 88 |
cardiovascular risk | 88 |
higher education | 88 |
health organizations | 88 |
recent study | 88 |
cell line | 87 |
sleep health | 87 |
urgent need | 87 |
standard precautions | 87 |
cancer risk | 87 |
pathogenic avian | 87 |
first case | 87 |
social network | 87 |
one year | 87 |
anxiety symptoms | 87 |
health belief | 87 |
content analysis | 87 |
new coronavirus | 87 |
quality assurance | 87 |
outcome measures | 87 |
world war | 87 |
gene expression | 87 |
care provider | 87 |
blood samples | 86 |
observational study | 86 |
low levels | 86 |
domestic violence | 86 |
pandemic planning | 86 |
influenza preparedness | 86 |
family planning | 86 |
study aimed | 86 |
intervention group | 86 |
homeland security | 86 |
insurance coverage | 86 |
health questionnaire | 86 |
research agenda | 86 |
study protocol | 86 |
european commission | 86 |
metabolic syndrome | 86 |
study will | 86 |
mechanical ventilation | 86 |
air travel | 86 |
local authorities | 86 |
coronavirus infection | 86 |
international public | 86 |
south african | 86 |
social relationships | 85 |
increasing number | 85 |
international spread | 85 |
scarce resources | 85 |
took place | 85 |
mitigation strategies | 85 |
early stage | 85 |
may occur | 85 |
decision makers | 85 |
belief model | 84 |
may affect | 84 |
staff members | 84 |
results showed | 84 |
muscle strength | 84 |
fi rst | 84 |
food production | 84 |
social science | 84 |
respiratory infection | 84 |
democratic republic | 84 |
healthcare settings | 84 |
healthcare worker | 84 |
pediatric patients | 84 |
sexually transmitted | 84 |
two years | 84 |
african american | 83 |
medical school | 83 |
drug administration | 83 |
study participants | 83 |
escherichia coli | 83 |
clinical medicine | 83 |
us fda | 83 |
many years | 83 |
benefi ts | 83 |
care workforce | 83 |
transfusion reactions | 83 |
domestic animals | 83 |
key role | 83 |
specific health | 83 |
skeletal muscle | 83 |
technical assistance | 83 |
us department | 83 |
african americans | 83 |
leading cause | 83 |
observational studies | 83 |
evidence suggests | 83 |
associated factors | 82 |
work together | 82 |
human development | 82 |
community engagement | 82 |
social norms | 82 |
regional differences | 82 |
nipah virus | 82 |
mass spectrometry | 82 |
diagnostic tests | 82 |
epidemiological studies | 82 |
kidney disease | 82 |
supplementary material | 82 |
human immunodeficiency | 82 |
care setting | 82 |
sendai framework | 82 |
herd immunity | 82 |
early childhood | 82 |
adverse outcomes | 82 |
work environment | 82 |
global community | 81 |
policy development | 81 |
first century | 81 |
low risk | 81 |
extracellular vesicle | 81 |
pharmaceutical companies | 81 |
immunodeficiency virus | 81 |
training needs | 81 |
chronic health | 81 |
daily living | 81 |
birth weight | 81 |
study period | 81 |
dwelling older | 81 |
control practices | 81 |
may contribute | 81 |
two different | 81 |
usa introduction | 81 |
medicinal products | 81 |
use disorders | 81 |
lung function | 81 |
health initiative | 81 |
care costs | 81 |
affected countries | 81 |
chronic pain | 81 |
syrian refugee | 80 |
clinical outcomes | 80 |
current situation | 80 |
also provide | 80 |
will allow | 80 |
south america | 80 |
needs assessment | 80 |
individual level | 80 |
particularly important | 80 |
times higher | 80 |
prevention measures | 80 |
low income | 80 |
back pain | 80 |
gait speed | 80 |
human resource | 80 |
human cases | 80 |
basic health | 80 |
based surveillance | 79 |
randomized trial | 79 |
age years | 79 |
health laboratories | 79 |
negative effects | 79 |
research council | 79 |
control programs | 79 |
opioid use | 79 |
influenza infection | 79 |
sleep quality | 79 |
older persons | 79 |
health ethics | 79 |
medical schools | 79 |
medical treatment | 79 |
international development | 79 |
transmission electron | 79 |
critical role | 79 |
descriptive statistics | 79 |
vaccine development | 79 |
severe disease | 79 |
system strengthening | 79 |
like illness | 79 |
management system | 79 |
may become | 79 |
odds ratio | 79 |
included studies | 78 |
mobile health | 78 |
results show | 78 |
population groups | 78 |
poor countries | 78 |
adverse health | 78 |
transmission dynamics | 78 |
one another | 78 |
disaster preparedness | 78 |
medical center | 78 |
international travel | 78 |
exclusion chromatography | 78 |
health among | 78 |
evd outbreak | 78 |
protective measures | 78 |
rheumatoid arthritis | 77 |
another study | 77 |
wide variety | 77 |
focus groups | 77 |
take place | 77 |
active surveillance | 77 |
human population | 77 |
social security | 77 |
public good | 77 |
distancing measures | 77 |
ad hoc | 77 |
patients may | 77 |
influenza surveillance | 77 |
psychological interventions | 77 |
many cases | 77 |
six months | 77 |
pandemic will | 77 |
twentieth century | 76 |
may require | 76 |
eye protection | 76 |
prevalence rates | 76 |
using data | 76 |
use disorder | 76 |
promote health | 76 |
old age | 76 |
turnover intention | 76 |
international cooperation | 76 |
high mortality | 76 |
san francisco | 76 |
national governments | 76 |
factors influencing | 76 |
state health | 76 |
training program | 76 |
service users | 76 |
tract infection | 76 |
containment measures | 76 |
urgently needed | 76 |
sleeping sickness | 76 |
every year | 75 |
animal diseases | 75 |
bloodstream infections | 75 |
progress towards | 75 |
health perceptions | 75 |
medical association | 75 |
among different | 75 |
control study | 75 |
tobacco use | 75 |
respiratory distress | 75 |
health professions | 75 |
elderly patients | 75 |
cohort studies | 75 |
patient health | 74 |
first responders | 74 |
jurisdictional claims | 74 |
health action | 74 |
patient outcomes | 74 |
dental schools | 74 |
york times | 74 |
remains neutral | 74 |
los angeles | 74 |
help us | 74 |
nature remains | 74 |
potential impact | 74 |
perceived threat | 74 |
chronic illness | 74 |
institutional affiliations | 74 |
political will | 74 |
published maps | 74 |
rural communities | 74 |
health facility | 74 |
currently available | 74 |
high rates | 74 |
human disease | 74 |
among adults | 74 |
electronic medical | 74 |
springer nature | 74 |
child mortality | 73 |
mg kg | 73 |
health implications | 73 |
prevention strategies | 73 |
community pharmacists | 73 |
also need | 73 |
will increase | 73 |
community transmission | 73 |
available online | 73 |
small number | 73 |
available data | 73 |
examples include | 73 |
life course | 73 |
usual care | 73 |
risks associated | 73 |
nucleic acid | 73 |
education level | 73 |
mental illnesses | 72 |
naturally occurring | 72 |
rapid spread | 72 |
decision support | 72 |
risk populations | 72 |
promoting behavior | 72 |
resilient health | 72 |
provide information | 72 |
digital technologies | 72 |
port health | 72 |
medrxiv preprint | 72 |
also reported | 72 |
respiratory viruses | 72 |
marital status | 72 |
derived exosomes | 72 |
clinical settings | 72 |
medical devices | 72 |
recent studies | 72 |
general hospital | 72 |
narrative review | 71 |
global response | 71 |
evidence based | 71 |
health report | 71 |
sectional survey | 71 |
ebola crisis | 71 |
red cross | 71 |
psychological stress | 71 |
telehealth services | 71 |
diabetic retinopathy | 71 |
protective behavior | 71 |
three main | 71 |
platelet concentrates | 71 |
every day | 71 |
scientific knowledge | 71 |
standard deviation | 71 |
personal hygiene | 71 |
mainland china | 70 |
data sets | 70 |
disaster management | 70 |
ill health | 70 |
year period | 70 |
biological agents | 70 |
emergency medical | 70 |
immune responses | 70 |
i will | 70 |
health communication | 70 |
effect sizes | 70 |
health administration | 70 |
new normal | 70 |
human capital | 70 |
first wave | 70 |
response plan | 70 |
many health | 70 |
derived extracellular | 70 |
care provision | 70 |
team members | 70 |
service provision | 70 |
preparedness planning | 70 |
taken together | 70 |
strengthening health | 69 |
significant increase | 69 |
health issue | 69 |
syrian refugees | 69 |
next generation | 69 |
health hazard | 69 |
clinical signs | 69 |
red cells | 69 |
population level | 69 |
ethnic groups | 69 |
research findings | 69 |
health strategies | 69 |
additional file | 69 |
adverse reactions | 69 |
corona virus | 69 |
analysis showed | 69 |
review board | 69 |
older age | 69 |
national center | 69 |
among healthcare | 69 |
precision medicine | 69 |
viral shedding | 69 |
health hazards | 69 |
primary prevention | 69 |
genome sequencing | 69 |
across different | 69 |
health survey | 69 |
nutritional status | 69 |
research ethics | 69 |
five years | 69 |
bloodstream infection | 69 |
highest risk | 69 |
regional office | 69 |
study using | 69 |
food systems | 69 |
health behaviours | 68 |
readily available | 68 |
different health | 68 |
psychological support | 68 |
past two | 68 |
nosocomial infection | 68 |
health may | 68 |
epithelial cells | 68 |
gross domestic | 68 |
services administration | 68 |
recipient cells | 68 |
medical record | 68 |
healthy lifestyle | 68 |
available evidence | 68 |
health perspective | 68 |
within days | 68 |
care resources | 68 |
antiviral drugs | 68 |
international guidelines | 68 |
disabilities health | 68 |
knowledge translation | 68 |
many patients | 68 |
middle income | 68 |
patients infected | 68 |
positive effect | 68 |
emerging disease | 68 |
across countries | 68 |
daily life | 67 |
potential risk | 67 |
public places | 67 |
clean water | 67 |
short term | 67 |
limited access | 67 |
preventive behaviors | 67 |
chain reaction | 67 |
quality care | 67 |
domestic product | 67 |
vaccination coverage | 67 |
broad range | 67 |
waste management | 67 |
wild animals | 67 |
states department | 67 |
two main | 67 |
health program | 67 |
community pharmacy | 67 |
close contacts | 67 |
health anxiety | 67 |
political economy | 67 |
low health | 67 |
psychological well | 67 |
community level | 67 |
cognitive function | 67 |
oral hygiene | 67 |
total population | 66 |
health spending | 66 |
poor mental | 66 |
will lead | 66 |
many studies | 66 |
will take | 66 |
major health | 66 |
collective action | 66 |
global scale | 66 |
prevent transmission | 66 |
severe cases | 66 |
university hospital | 66 |
current crisis | 66 |
surgical masks | 66 |
previously described | 66 |
also help | 66 |
healthy eating | 66 |
working together | 66 |
western blotting | 66 |
migrant workers | 66 |
racial ethnic | 66 |
patients receiving | 66 |
human infection | 66 |
missing data | 66 |
three months | 66 |
care worker | 66 |
serious games | 66 |
preventive services | 66 |
cervical cancer | 66 |
systematic analysis | 66 |
negative mental | 66 |
global fund | 66 |
effect size | 66 |
preventable diseases | 66 |
also included | 66 |
biomedical research | 66 |
care access | 65 |
influenza vaccines | 65 |
per week | 65 |
media platforms | 65 |
secondary prevention | 65 |
prevention programs | 65 |
essential health | 65 |
starting point | 65 |
related quality | 65 |
educational level | 65 |
mental healthcare | 65 |
publicly available | 65 |
cancer cell | 65 |
closely related | 65 |
related deaths | 65 |
travel restrictions | 65 |
likert scale | 65 |
health capacity | 65 |
lassa fever | 65 |
signifi cant | 65 |
individual patient | 65 |
emotional support | 65 |
peripheral blood | 65 |
economic evaluation | 65 |
health laboratory | 65 |
disease caused | 65 |
airborne transmission | 65 |
hospital care | 65 |
existing health | 65 |
clinical management | 65 |
results indicate | 65 |
polymerase chain | 65 |
health event | 64 |
african ebola | 64 |
existing literature | 64 |
respiratory syncytial | 64 |
colorectal cancer | 64 |
regional health | 64 |
nursing staff | 64 |
per person | 64 |
major public | 64 |
timely manner | 64 |
emergency care | 64 |
rural health | 64 |
time series | 64 |
plastic surgery | 64 |
interim guidance | 64 |
social factors | 64 |
emergency committee | 64 |
mdck cells | 64 |
preventive medicine | 64 |
improved health | 64 |
global spread | 64 |
commons attribution | 64 |
past decade | 64 |
prime minister | 64 |
total score | 64 |
health code | 64 |
ng ml | 64 |
resistance training | 64 |
point likert | 64 |
posted may | 64 |
scientific community | 63 |
behavioral therapy | 63 |
north american | 63 |
health centres | 63 |
size exclusion | 63 |
hospital beds | 63 |
risk analysis | 63 |
study group | 63 |
infected individuals | 63 |
natural history | 63 |
disease spread | 63 |
world trade | 63 |
managed care | 63 |
large scale | 63 |
relatively low | 63 |
long time | 63 |
system resilience | 63 |
viral infections | 63 |
sex workers | 63 |
adolescent health | 63 |
early diagnosis | 63 |
qualitative data | 63 |
three different | 63 |
situation report | 63 |
health priorities | 63 |
viral infection | 63 |
blood supply | 63 |
integral part | 63 |
health related | 63 |
endothelial cells | 63 |
cell types | 63 |
telemental health | 63 |
health units | 63 |
psychological effects | 63 |
tropical diseases | 62 |
comparative study | 62 |
median age | 62 |
environmental conditions | 62 |
central nervous | 62 |
patients will | 62 |
new challenges | 62 |
built environment | 62 |
millennium development | 62 |
higher scores | 62 |
higher level | 62 |
health intervention | 62 |
physical exercise | 62 |
international organisations | 62 |
control strategies | 62 |
human populations | 62 |
patients undergoing | 62 |
important factor | 62 |
provincial health | 62 |
rare diseases | 62 |
ethical approval | 62 |
issues related | 62 |
randomized clinical | 62 |
information regarding | 62 |
several countries | 62 |
essential medicines | 62 |
international trade | 62 |
public policies | 62 |
search strategy | 61 |
among men | 61 |
security agenda | 61 |
significant impact | 61 |
significant association | 61 |
health concern | 61 |
people will | 61 |
lf cases | 61 |
technical support | 61 |
conceptual model | 61 |
institutional review | 61 |
research group | 61 |
years later | 61 |
disease study | 61 |
services research | 61 |
based study | 61 |
new health | 61 |
clinically significant | 61 |
passive surveillance | 61 |
focus group | 61 |
state council | 61 |
final report | 61 |
first aid | 61 |
see also | 61 |
generalized anxiety | 61 |
term health | 61 |
medical health | 61 |
related stress | 61 |
perceived social | 61 |
regression analyses | 61 |
stress symptoms | 61 |
key stakeholders | 60 |
australian government | 60 |
randomly selected | 60 |
global mental | 60 |
frontline health | 60 |
care organizations | 60 |
making process | 60 |
coronavirus pneumonia | 60 |
significantly increased | 60 |
private hospitals | 60 |
respiratory protection | 60 |
target population | 60 |
health condition | 60 |
physical environment | 60 |
also provides | 60 |
hospital admissions | 60 |
note springer | 60 |
government agencies | 60 |
positive effects | 60 |
including health | 60 |
quality health | 60 |
front line | 60 |
response rate | 60 |
school closures | 60 |
final manuscript | 60 |
body composition | 60 |
crisis management | 60 |
will include | 60 |
health staff | 60 |
positive results | 60 |
study population | 60 |
economic consequences | 59 |
identifi ed | 59 |
infections associated | 59 |
local communities | 59 |
adult population | 59 |
home visits | 59 |
see chapter | 59 |
confirmed covid | 59 |
epidemiological data | 59 |
room temperature | 59 |
may reduce | 59 |
medical practice | 59 |
higher prevalence | 59 |
healthcare access | 59 |
laboratory testing | 59 |
international standards | 59 |
real world | 59 |
personal responsibility | 59 |
health strategy | 59 |
time period | 59 |
pan american | 59 |
medication adherence | 59 |
children aged | 59 |
blood donations | 59 |
tested positive | 59 |
physical function | 59 |
delivery system | 59 |
syncytial virus | 59 |
national survey | 59 |
supply chains | 58 |
provide care | 58 |
leading causes | 58 |
infected person | 58 |
health leaders | 58 |
public education | 58 |
health researchers | 58 |
transfusion medicine | 58 |
dental education | 58 |
special issue | 58 |
deaths per | 58 |
developing country | 58 |
people may | 58 |
mesenchymal stem | 58 |
health laws | 58 |
life satisfaction | 58 |
data suggest | 58 |
risk group | 58 |
pandemic may | 58 |
health responses | 58 |
health screening | 58 |
everyday life | 58 |
medical personnel | 58 |
confidence intervals | 58 |
national surveillance | 58 |
childhood asthma | 58 |
commercially available | 58 |
race ethnicity | 58 |
influenza outbreaks | 58 |
territorial health | 58 |
heart rate | 58 |
anxiety disorders | 58 |
close proximity | 58 |
different ways | 58 |
participants reported | 58 |
ethnic minority | 58 |
odds ratios | 58 |
scientific research | 58 |
new disease | 58 |
dual practice | 58 |
food supply | 57 |
sars patients | 57 |
plasma samples | 57 |
time spent | 57 |
asian countries | 57 |
disaster response | 57 |
respiratory failure | 57 |
three years | 57 |
future health | 57 |
health authority | 57 |
first years | 57 |
virus transmission | 57 |
tertiary care | 57 |
labor market | 57 |
health approaches | 57 |
control programmes | 57 |
western pacific | 57 |
will become | 57 |
health expenditures | 57 |
economic activity | 57 |
term effects | 57 |
human life | 57 |
mortality among | 57 |
health training | 57 |
among young | 57 |
health knowledge | 57 |
american health | 57 |
ev isolation | 57 |
well known | 57 |
local community | 57 |
southern china | 56 |
core capacity | 56 |
also showed | 56 |
case report | 56 |
correctional health | 56 |
crucial role | 56 |
birth cohort | 56 |
cognitive decline | 56 |
next pandemic | 56 |
health burden | 56 |
drug development | 56 |
related diseases | 56 |
analysis using | 56 |
service utilization | 56 |
remote areas | 56 |
analysis revealed | 56 |
common goal | 56 |
national research | 56 |
among chinese | 56 |
infectious agent | 56 |
statistical significance | 56 |
home visiting | 56 |
suicidal ideation | 56 |
care act | 56 |
integrated health | 56 |
medical supplies | 56 |
primary research | 56 |
within hours | 56 |
companion animals | 56 |
frontline healthcare | 56 |
adults aged | 56 |
also include | 56 |
many ways | 56 |
insertion site | 56 |
significantly reduced | 56 |
empirical evidence | 56 |
demographic variables | 56 |
patient satisfaction | 56 |
health centre | 56 |
low level | 56 |
data entry | 55 |
symptoms among | 55 |
global level | 55 |
health zones | 55 |
clinical guidelines | 55 |
case definition | 55 |
existing mental | 55 |
longer term | 55 |
study aims | 55 |
negative impacts | 55 |
public awareness | 55 |
collected data | 55 |
disease severity | 55 |
major challenge | 55 |
virtual care | 55 |
just one | 55 |
european centre | 55 |
virus infections | 55 |
expert panel | 55 |
district health | 55 |
biological weapons | 55 |
private partnerships | 55 |
factors affecting | 55 |
provide evidence | 55 |
rift valley | 55 |
valley fever | 55 |
three times | 55 |
strongly associated | 55 |
lessons learnt | 55 |
effective response | 55 |
cognitive behavioral | 55 |
later life | 55 |
sports participation | 55 |
common good | 55 |
respondents reported | 55 |
care utilization | 55 |
studies conducted | 55 |
virus replication | 55 |
parihs framework | 55 |
size distribution | 55 |
annual report | 55 |
ethnic minorities | 54 |
several factors | 54 |
cardiac surgery | 54 |
poverty alleviation | 54 |
death rates | 54 |
may vary | 54 |
individual rights | 54 |
last year | 54 |
pathogen genomics | 54 |
economic crisis | 54 |
attitudes towards | 54 |
contracting covid | 54 |
food animals | 54 |
may influence | 54 |
ebola response | 54 |
person transmission | 54 |
especially important | 54 |
related literature | 54 |
lived experience | 54 |
factors related | 54 |
literature search | 54 |
affected areas | 54 |
psychological responses | 54 |
several years | 54 |
develop new | 54 |
distress syndrome | 54 |
global warming | 54 |
school closure | 54 |
local levels | 54 |
mycobacterium tuberculosis | 54 |
job satisfaction | 54 |
venous catheter | 54 |
factors including | 54 |
medical workers | 54 |
based hand | 54 |
patients admitted | 54 |
significant risk | 54 |
quarantine measures | 54 |
hematopoietic stem | 54 |
drug abuse | 54 |
psychosocial support | 54 |
individual patients | 54 |
year follow | 54 |
animal production | 54 |
may serve | 54 |
confirmed lf | 54 |
eastern mediterranean | 54 |
blood banks | 53 |
school students | 53 |
medical equipment | 53 |
available resources | 53 |
psychiatric symptoms | 53 |
inflammatory response | 53 |
sars crisis | 53 |
control program | 53 |
legal framework | 53 |
census tract | 53 |
sexual health | 53 |
abstract withdrawn | 53 |
ihr core | 53 |
surgeon general | 53 |
case definitions | 53 |
ia reports | 53 |
central government | 53 |
based research | 53 |
infection among | 53 |
density gradient | 53 |
viruses isolated | 53 |
status quo | 53 |
among individuals | 53 |
gates foundation | 53 |
viral rna | 53 |
near future | 53 |
authors contributed | 53 |
college students | 53 |
criminal justice | 53 |
among homeless | 53 |
hospital emergency | 53 |
primary outcome | 53 |
urban settings | 53 |
care model | 53 |
water supply | 53 |
malaria control | 53 |
health financing | 53 |
malaria incidence | 53 |
sars coronavirus | 53 |
hospital staff | 53 |
generation sequencing | 52 |
human right | 52 |
american college | 52 |
health monitoring | 52 |
aedes aegypti | 52 |
icu beds | 52 |
preventive care | 52 |
essential public | 52 |
practice guidelines | 52 |
preparedness plans | 52 |
clinically relevant | 52 |
advisory group | 52 |
care personnel | 52 |
msk conditions | 52 |
analysed using | 52 |
gold standard | 52 |
fatality rates | 52 |
nationally representative | 52 |
infected people | 52 |
economic impacts | 52 |
ethics approval | 52 |
improve access | 52 |
health goals | 52 |
universal coverage | 52 |
health reform | 52 |
economic costs | 52 |
response system | 52 |
preliminary results | 52 |
small rna | 52 |
health messages | 52 |
wearable devices | 52 |
current health | 52 |
well established | 52 |
census tracts | 52 |
social interactions | 52 |
additional information | 52 |
national guidelines | 52 |
healthcare staff | 52 |
one example | 52 |
novel influenza | 52 |
representative sample | 52 |
become increasingly | 51 |
building blocks | 51 |
new approach | 51 |
us centers | 51 |
younger age | 51 |
research capacity | 51 |
collect data | 51 |
adjusted life | 51 |
strongly agree | 51 |
health england | 51 |
pacific region | 51 |
data management | 51 |
related issues | 51 |
sleep problems | 51 |
medical information | 51 |
school children | 51 |
one way | 51 |
mobile phone | 51 |
data protection | 51 |
international agencies | 51 |
analyzed using | 51 |
clinical information | 51 |
lung disease | 51 |
policy decisions | 51 |
highest number | 51 |
precautionary measures | 51 |
security council | 51 |
index case | 51 |
operating procedures | 51 |
nosocomial transmission | 51 |
first year | 51 |
environmental protection | 51 |
rates among | 51 |
good practice | 51 |
research institute | 51 |
significantly different | 51 |
acute phase | 51 |
general assembly | 51 |
health outcome | 51 |
bmj global | 51 |
potential benefits | 51 |
affect health | 51 |
uk government | 51 |
different groups | 51 |
influenza season | 51 |
mass casualty | 51 |
research methods | 51 |
social protection | 51 |
american academy | 51 |
life events | 51 |
disease detection | 51 |
one third | 51 |
sri lanka | 51 |
resistant bacteria | 51 |
positive patients | 51 |
member state | 51 |
services provided | 51 |
healthy cities | 51 |
also known | 51 |
universal arv | 51 |
epidemic intelligence | 51 |
sore throat | 50 |
working paper | 50 |
strategic plan | 50 |
western countries | 50 |
two studies | 50 |
stress levels | 50 |
us million | 50 |
great deal | 50 |
might also | 50 |
internal consistency | 50 |
international conference | 50 |
reference laboratory | 50 |
ethical considerations | 50 |
response team | 50 |
population growth | 50 |
studies included | 50 |
high priority | 50 |
severe mental | 50 |
related factors | 50 |
information sources | 50 |
blood service | 50 |
neural networks | 50 |
water quality | 50 |
systems approach | 50 |
short period | 50 |
social policy | 50 |
may experience | 50 |
conducted using | 50 |
samples collected | 50 |
food animal | 50 |
us government | 50 |
rapidly evolving | 50 |
first two | 50 |
assessment tool | 50 |
clinical decision | 50 |
frontline workers | 50 |
pandemic virus | 50 |
framework convention | 50 |
epidemiological surveillance | 50 |
review committee | 50 |
current state | 50 |
medical teams | 50 |
healthcare needs | 50 |
community pharmacies | 50 |
states parties | 50 |
differentially expressed | 50 |
medical resources | 50 |
paradigm shift | 50 |
monoclonal antibody | 50 |
negative consequences | 50 |
thematic analysis | 50 |
clinical presentation | 49 |
integrated approach | 49 |
wound healing | 49 |
land use | 49 |
low back | 49 |
venous access | 49 |
major role | 49 |
people aged | 49 |
priority setting | 49 |
infections among | 49 |
health edrm | 49 |
among medical | 49 |
challenges faced | 49 |
psychological outcomes | 49 |
across multiple | 49 |
shs members | 49 |
social contact | 49 |
contingency planning | 49 |
digital technology | 49 |
bacterial infections | 49 |
new information | 49 |
reactive protein | 49 |
related information | 49 |
study provides | 49 |
online mental | 49 |
successful implementation | 49 |
protein intake | 49 |
measures taken | 49 |
haddon matrix | 49 |
one case | 49 |
pulmonary disease | 49 |
positively associated | 49 |
also associated | 49 |
system reform | 49 |
accurate information | 49 |
new virus | 49 |
research project | 49 |
global surveillance | 49 |
providing health | 49 |
will affect | 49 |
point scale | 49 |
search terms | 49 |
resources available | 49 |
positive impact | 49 |
hygiene practices | 49 |
shift work | 49 |
daily basis | 49 |
dental caries | 49 |
correlation coefficient | 49 |
health aspects | 49 |
negative psychological | 49 |
clinical studies | 48 |
older women | 48 |
remote communities | 48 |
predictive value | 48 |
future pandemics | 48 |
urban governance | 48 |
endemic areas | 48 |
care homes | 48 |
research evidence | 48 |
early intervention | 48 |
new opportunities | 48 |
psychosocial factors | 48 |
laboratory tests | 48 |
severe covid | 48 |
cases reported | 48 |
another example | 48 |
individuals may | 48 |
general practitioner | 48 |
will result | 48 |
pandemic potential | 48 |
psychosocial interventions | 48 |
perceived risk | 48 |
emerging pathogens | 48 |
zoonotic pathogens | 48 |
emergency services | 48 |
longitudinal studies | 48 |
response capacity | 48 |
study shows | 48 |
street youth | 48 |
million cases | 48 |
harm reduction | 48 |
risk assessments | 48 |
effective treatment | 48 |
delivery systems | 48 |
least two | 48 |
treatment guidelines | 48 |
special attention | 48 |
life years | 48 |
microbial threats | 48 |
health qol | 48 |
data extraction | 48 |
risk perceptions | 48 |
war ii | 48 |
human behavior | 48 |
healthy living | 48 |
management systems | 48 |
family member | 48 |
health planning | 48 |
various health | 48 |
health opportunity | 48 |
eff orts | 48 |
providing care | 48 |
supreme court | 48 |
public safety | 48 |
health statistics | 48 |
human infections | 48 |
care provided | 48 |
human body | 48 |
significant reduction | 47 |
allergic rhinitis | 47 |
another important | 47 |
care staff | 47 |
affordable care | 47 |
pandemic flu | 47 |
severe illness | 47 |
may well | 47 |
care capacity | 47 |
unmet needs | 47 |
scientific literature | 47 |
healthy life | 47 |
mass media | 47 |
differential ultracentrifugation | 47 |
cancer care | 47 |
make sure | 47 |
coronavirus infections | 47 |
critical review | 47 |
north west | 47 |
community support | 47 |
medical service | 47 |
coronary artery | 47 |
critical appraisal | 47 |
small extracellular | 47 |
reduce risk | 47 |
patients without | 47 |
beds per | 47 |
effective interventions | 47 |
will enable | 47 |
urban planning | 47 |
high degree | 47 |
ambulatory care | 47 |
teaching hospital | 47 |
donor selection | 47 |
dengue fever | 47 |
studies using | 47 |
relevant information | 47 |
social interaction | 47 |
antibody response | 47 |
population mobility | 47 |
nineteenth century | 47 |
us health | 47 |
priority group | 47 |
lower risk | 47 |
indirect effects | 47 |
related bloodstream | 47 |
support services | 47 |
planetary health | 47 |
full text | 47 |
low cost | 47 |
policy responses | 47 |
effective health | 47 |
data obtained | 47 |
new ways | 47 |
mobile phones | 47 |
arv access | 47 |
foreign aid | 47 |
preparedness plan | 47 |
physical inactivity | 47 |
home order | 47 |
cancer screening | 47 |
per se | 47 |
fi nancial | 47 |
various types | 47 |
medical professionals | 47 |
subject matter | 47 |
effective public | 47 |
aboriginal health | 47 |
emergency room | 46 |
standard operating | 46 |
unmet need | 46 |
eastern europe | 46 |
global trends | 46 |
large proportion | 46 |
also provided | 46 |
health nurses | 46 |
health sectors | 46 |
black americans | 46 |
education programs | 46 |
mental wellbeing | 46 |
policy making | 46 |
vaccination rates | 46 |
demographic data | 46 |
research projects | 46 |
hazardous waste | 46 |
antimicrobial agents | 46 |
chronic obstructive | 46 |
hospital workers | 46 |
conditioned media | 46 |
cystic fibrosis | 46 |
data available | 46 |
control groups | 46 |
hiv transmission | 46 |
legal preparedness | 46 |
days later | 46 |
soviet union | 46 |
transmitted infections | 46 |
health technology | 46 |
way forward | 46 |
equitable access | 46 |
one country | 46 |
north carolina | 46 |
different regions | 46 |
potential role | 46 |
platelet count | 46 |
international legal | 46 |
blood product | 46 |
economic conditions | 46 |
limited number | 46 |
allied health | 46 |
weight gain | 46 |
important part | 46 |
immunization coverage | 46 |
core functions | 46 |
whenever possible | 46 |
governmental organizations | 46 |
elderly population | 46 |
neonatal intensive | 46 |
civil liberties | 46 |
address health | 46 |
surveillance activities | 46 |
billion people | 46 |
key factors | 46 |
disease preparedness | 46 |
haemorrhagic fever | 46 |
community settings | 46 |
renal failure | 46 |
policy analysis | 46 |
relatively high | 46 |
global disease | 46 |
global action | 46 |
healthy controls | 46 |
media coverage | 46 |
survey data | 46 |
coping efficacy | 46 |
occupational exposure | 46 |
health resource | 46 |
little attention | 46 |
community leaders | 45 |
incidence rate | 45 |
based precautions | 45 |
patients treated | 45 |
international collaboration | 45 |
implementation science | 45 |
exclusion criteria | 45 |
chronic respiratory | 45 |
significant effect | 45 |
health quality | 45 |
improve public | 45 |
weak health | 45 |
systematic literature | 45 |
fi nancing | 45 |
sars preventive | 45 |
early life | 45 |
antimicrobial use | 45 |
antibody screening | 45 |
skills training | 45 |
chronic kidney | 45 |
protection agency | 45 |
systems strengthening | 45 |
death rate | 45 |
live births | 45 |
functional status | 45 |
first reported | 45 |
emergency health | 45 |
medical practitioners | 45 |
incidence rates | 45 |
expert opinion | 45 |
animal models | 45 |
us billion | 45 |
white house | 45 |
preventative health | 45 |
cases per | 45 |
working groups | 45 |
response activities | 45 |
natural language | 45 |
health concept | 45 |
health study | 45 |
healthy food | 45 |
individual differences | 45 |
relationships among | 45 |
will make | 45 |
moral injury | 45 |
studies suggest | 45 |
hand decontamination | 45 |
immunocompromised patients | 45 |
workers exposed | 45 |
final version | 45 |
central role | 45 |
johns hopkins | 45 |
klebsiella pneumoniae | 45 |
short time | 45 |
urban design | 45 |
vice versa | 45 |
second phase | 45 |
million deaths | 45 |
structural equation | 45 |
outbreak investigation | 45 |
child care | 45 |
aids epidemic | 45 |
respiratory droplets | 45 |
indigenous peoples | 45 |
household income | 45 |
transmitted diseases | 45 |
positive health | 45 |
current status | 45 |
blood services | 45 |
significant role | 45 |
intellectual property | 45 |
environmental contamination | 45 |
family health | 45 |
will depend | 45 |
medical officer | 45 |
large part | 45 |
great potential | 45 |
medical insurance | 45 |
two major | 45 |
economic burden | 45 |
offi cials | 45 |
recent decades | 44 |
public hospital | 44 |
global population | 44 |
cost effectiveness | 44 |
terrorist attacks | 44 |
clostridium difficile | 44 |
catheter insertion | 44 |
added value | 44 |
response efforts | 44 |
rural residents | 44 |
safety net | 44 |
arbaeen ceremony | 44 |
ich regions | 44 |
social medicine | 44 |
retrospective study | 44 |
participants will | 44 |
research center | 44 |
new research | 44 |
hand rub | 44 |
descriptive study | 44 |
many others | 44 |
mathematical models | 44 |
intervention studies | 44 |
isolated evs | 44 |
will occur | 44 |
respiratory pathogens | 44 |
poorer health | 44 |
neglected tropical | 44 |
preventive interventions | 44 |
many states | 44 |
pseudomonas aeruginosa | 44 |
immediate psychological | 44 |
higher among | 44 |
minority groups | 44 |
public mental | 44 |
evs derived | 44 |
surface markers | 44 |
study reported | 44 |
hospital admission | 44 |
camh services | 44 |
particularly relevant | 44 |
influenza outbreak | 44 |
similar results | 44 |
public transport | 44 |
veterinary public | 44 |
epidemiologic studies | 44 |
contact precautions | 44 |
investigate whether | 44 |
ev markers | 44 |
medical facilities | 44 |
health powers | 44 |
clinical symptoms | 44 |
low birth | 44 |
health recommendations | 44 |
royal college | 44 |
future directions | 44 |
culture media | 44 |
urinary catheters | 44 |
ethical standards | 44 |
countries will | 44 |
dental insurance | 44 |
internet access | 44 |
improve patient | 44 |
using different | 44 |
community residents | 44 |
latin american | 44 |
culturally appropriate | 44 |
state actors | 44 |
face mask | 44 |
clinical course | 44 |
policy implementation | 44 |
health institute | 44 |
pharmaceutical interventions | 44 |
protective factors | 44 |
resistance genes | 43 |
injury prevention | 43 |
road traffic | 43 |
much less | 43 |
health zone | 43 |
research systems | 43 |
help people | 43 |
psychological wellbeing | 43 |
psychometric properties | 43 |
per month | 43 |
care centers | 43 |
especially among | 43 |
policy recommendations | 43 |
based guidelines | 43 |
pneumoniae isolates | 43 |
emerging viruses | 43 |
fever virus | 43 |
also includes | 43 |
public trust | 43 |
social exclusion | 43 |
early identification | 43 |
ended questions | 43 |
rural populations | 43 |
infected persons | 43 |
vital signs | 43 |
women aged | 43 |
hiv prevention | 43 |
organization world | 43 |
next section | 43 |
among community | 43 |
respiratory hygiene | 43 |
serious mental | 43 |
particularly vulnerable | 43 |
will use | 43 |
diseases like | 43 |
new international | 43 |
south asia | 43 |
field epidemiology | 43 |
ev cargo | 43 |
reduce health | 43 |
mitigation measures | 43 |
frail older | 43 |
data show | 43 |
antiretroviral therapy | 43 |
liquid biopsy | 43 |
independently associated | 43 |
previous pandemics | 43 |
three countries | 43 |
interrupted time | 43 |
health act | 43 |
home orders | 43 |
basic needs | 43 |
medical technology | 43 |
occupational diseases | 43 |
go beyond | 43 |
common among | 43 |
iu ml | 43 |
atypical pneumonia | 43 |
intercellular communication | 43 |
vaccine production | 43 |
new vaccines | 43 |
supportive care | 43 |
public healthcare | 43 |
ethical principles | 43 |
older patients | 43 |
natural resources | 43 |
independent variables | 43 |
blood collection | 43 |
generating procedures | 43 |
associated urinary | 43 |
systems research | 43 |
hygiene compliance | 43 |
identify potential | 43 |
ae log | 43 |
social work | 43 |
vaccination campaign | 43 |
blood glucose | 43 |
save lives | 43 |
major challenges | 43 |
member countries | 43 |
natural disaster | 43 |
strengthen health | 43 |
treatment options | 43 |
hip fracture | 43 |
virus outbreak | 43 |
commons licence | 43 |
health behaviour | 43 |
take action | 43 |
emergency medicine | 43 |
antimicrobial stewardship | 43 |
surveillance network | 43 |
government officials | 43 |
many factors | 43 |
global outbreak | 43 |
intervention strategies | 43 |
sleep disturbance | 42 |
hurricane katrina | 42 |
article distributed | 42 |
factors may | 42 |
strong evidence | 42 |
access article | 42 |
positive cases | 42 |
animal species | 42 |
perceived health | 42 |
personalized medicine | 42 |
digital platform | 42 |
lifestyle factors | 42 |
addressing health | 42 |
increase access | 42 |
oxidative stress | 42 |
patient data | 42 |
baseline data | 42 |
american medical | 42 |
hydrogen peroxide | 42 |
social cohesion | 42 |
medical university | 42 |
dental health | 42 |
distress among | 42 |
vaccine uptake | 42 |
previously reported | 42 |
research will | 42 |
make decisions | 42 |
use among | 42 |
healthy ageing | 42 |
effective use | 42 |
associated infection | 42 |
nurturing care | 42 |
mortality risk | 42 |
adolescent mental | 42 |
studies reported | 42 |
small group | 42 |
relatively small | 42 |
mental well | 42 |
psychological problems | 42 |
care infrastructure | 42 |
high blood | 42 |
posttraumatic growth | 42 |
information technologies | 42 |
antenatal care | 42 |
research studies | 42 |
may take | 42 |
ex vivo | 42 |
med doi | 42 |
health symptoms | 42 |
effi ciency | 42 |
associated pneumonia | 42 |
animal shelters | 42 |
first months | 42 |
potential health | 42 |
social health | 42 |
study designs | 42 |
serum samples | 42 |
prior research | 42 |
increasingly important | 42 |
new diseases | 42 |
disease epidemic | 42 |
antigen expression | 42 |
knowledge sharing | 42 |
outbreak investigations | 42 |
phylogenetic analysis | 42 |
initial stage | 42 |
polio eradication | 42 |
help reduce | 42 |
time donors | 42 |
mood disorders | 42 |
poverty reduction | 42 |
cell death | 41 |
efficiency value | 41 |
pain intensity | 41 |
social workers | 41 |
first phase | 41 |
nucleic acids | 41 |
critically important | 41 |
prevent disease | 41 |
public opinion | 41 |
social groups | 41 |
schistosomiasis control | 41 |
pandemic covid | 41 |
eye care | 41 |
key elements | 41 |
data quality | 41 |
approach will | 41 |
public goods | 41 |
spread rapidly | 41 |
protecting health | 41 |
labour market | 41 |
key informants | 41 |
average age | 41 |
different approaches | 41 |
share information | 41 |
multiple levels | 41 |
different forms | 41 |
corresponding author | 41 |
ev release | 41 |
healthcare facility | 41 |
health will | 41 |
laboratory capacity | 41 |
income country | 41 |
cold chain | 41 |
income inequality | 41 |
response plans | 41 |
significant proportion | 41 |
tumour cells | 41 |
may reflect | 41 |
health agenda | 41 |
moving forward | 41 |
health decision | 41 |
lancet commission | 41 |
previous study | 41 |
professional development | 41 |
google scholar | 41 |
major cause | 41 |
hospital settings | 41 |
international level | 41 |
qualitative studies | 41 |
insurance schemes | 41 |
operating room | 41 |
psychiatric morbidity | 41 |
disease progression | 41 |
will benefit | 41 |
people worldwide | 41 |
written informed | 41 |
cross sectional | 41 |
perceived severity | 41 |
dependent variable | 41 |
mixed methods | 41 |
strongly disagree | 41 |
improve quality | 41 |
support systems | 40 |
taking place | 40 |
healthcare workforce | 40 |
cvd risk | 40 |
female workers | 40 |
factor analysis | 40 |
modelling study | 40 |
cigarette smoking | 40 |
treat patients | 40 |
eff ective | 40 |
based medicine | 40 |
financial crisis | 40 |
pivotal role | 40 |
national academy | 40 |
lung injury | 40 |
executive board | 40 |
face shields | 40 |
patient information | 40 |
protect health | 40 |
ii score | 40 |
time points | 40 |
new forms | 40 |
allows us | 40 |
social inequalities | 40 |
chinese health | 40 |
stay home | 40 |
disease may | 40 |
hospital infection | 40 |
urban population | 40 |
growth factor | 40 |
towards universal | 40 |
healthcare costs | 40 |
emerging zoonoses | 40 |