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 | 735 |
developing countries | 525 |
health care | 406 |
income countries | 324 |
united states | 242 |
health systems | 226 |
infectious diseases | 216 |
author funder | 191 |
granted medrxiv | 191 |
european countries | 186 |
made available | 186 |
copyright holder | 181 |
per capita | 180 |
world health | 167 |
confirmed cases | 167 |
social distancing | 164 |
different countries | 163 |
climate change | 159 |
version posted | 154 |
international license | 152 |
developed countries | 148 |
risk factors | 148 |
health system | 146 |
health services | 141 |
many countries | 137 |
health organization | 131 |
food safety | 130 |
health insurance | 124 |
world bank | 124 |
national health | 123 |
working conditions | 119 |
health promotion | 118 |
economic growth | 117 |
job satisfaction | 116 |
global health | 115 |
time series | 110 |
new cases | 109 |
one health | 107 |
cord uid | 107 |
doc id | 107 |
per cent | 104 |
united kingdom | 102 |
middle east | 101 |
member states | 101 |
gcc countries | 100 |
united nations | 100 |
infectious disease | 97 |
food security | 96 |
communicable diseases | 95 |
coronavirus disease | 95 |
saudi arabia | 94 |
across countries | 94 |
novel coronavirus | 87 |
south africa | 85 |
peer review | 85 |
poor countries | 83 |
intellectual property | 83 |
social protection | 82 |
medrxiv preprint | 82 |
power law | 81 |
life expectancy | 81 |
economic development | 78 |
south korea | 77 |
population density | 76 |
per million | 75 |
mortality rates | 74 |
million people | 74 |
african countries | 71 |
exponential growth | 67 |
care systems | 66 |
respiratory syndrome | 66 |
human rights | 66 |
disease control | 66 |
medical care | 63 |
international travel | 63 |
cases per | 63 |
acute respiratory | 62 |
wastewater treatment | 62 |
total number | 61 |
new york | 61 |
posted may | 60 |
latin america | 60 |
blood pressure | 59 |
asian countries | 58 |
mortality rate | 58 |
primary care | 57 |
foreign aid | 57 |
eu member | 56 |
growth rate | 55 |
fatality rate | 55 |
saharan africa | 54 |
universal health | 54 |
private sector | 54 |
earnings quality | 53 |
terrorist attacks | 53 |
death toll | 53 |
health status | 52 |
european union | 52 |
food poisoning | 52 |
life satisfaction | 50 |
severe acute | 50 |
cryptosporidium infection | 49 |
economic crisis | 49 |
cultural trauma | 49 |
death rates | 49 |
countries like | 49 |
novelty score | 49 |
human development | 48 |
situation report | 48 |
health problems | 48 |
machine learning | 48 |
forced migration | 48 |
health sector | 47 |
food sovereignty | 47 |
population health | 47 |
travel restrictions | 47 |
development goals | 46 |
east asia | 46 |
healthcare systems | 46 |
doubling time | 46 |
reported cases | 46 |
health issues | 46 |
case numbers | 46 |
international collaboration | 45 |
statistically significant | 45 |
case fatality | 45 |
new public | 45 |
healthcare system | 45 |
property rights | 45 |
even though | 45 |
among countries | 44 |
southeast asia | 44 |
may also | 44 |
control measures | 43 |
emerging infectious | 42 |
gross domestic | 42 |
urban areas | 42 |
sustainable development | 42 |
care system | 42 |
mental health | 42 |
financial crisis | 42 |
drinking water | 42 |
chronic diseases | 42 |
coronavirus pandemic | 42 |
eu countries | 42 |
rural areas | 42 |
hiv aids | 42 |
posted june | 41 |
mandatory immunization | 41 |
domestic product | 41 |
high levels | 41 |
developing world | 41 |
gdp per | 41 |
new zealand | 41 |
foreign direct | 41 |
per year | 41 |
direct investment | 40 |
parachuting collaboration | 40 |
reproduction number | 40 |
industrialized countries | 40 |
north america | 40 |
rights reserved | 40 |
see chapter | 39 |
various countries | 39 |
infected people | 39 |
compulsory licenses | 38 |
trips agreement | 38 |
countries may | 38 |
countries will | 38 |
case study | 38 |
natural disasters | 38 |
selected countries | 38 |
food handlers | 38 |
vaccine development | 38 |
dependent variable | 38 |
fdi inflows | 38 |
see table | 37 |
nationals abroad | 37 |
treatment plants | 37 |
table shows | 37 |
food production | 37 |
health expenditure | 37 |
two countries | 37 |
universal access | 37 |
neonatal sepsis | 36 |
social security | 36 |
one country | 36 |
total population | 36 |
population size | 36 |
human mobility | 36 |
global burden | 36 |
lockdown measures | 36 |
human resources | 35 |
tourist arrivals | 35 |
energy consumption | 35 |
reported deaths | 34 |
containment measures | 34 |
water supply | 34 |
cryptosporidium oocysts | 34 |
disease outbreaks | 34 |
within countries | 34 |
pandemic influenza | 34 |
international health | 34 |
human capital | 34 |
community health | 33 |
world war | 33 |
health service | 32 |
adult immunization | 32 |
co emissions | 32 |
scientific novelty | 32 |
air travel | 32 |
large number | 32 |
statistical analysis | 32 |
countries reported | 32 |
risk factor | 32 |
transmission rate | 32 |
recent years | 32 |
compulsory licensing | 32 |
risk management | 32 |
wide range | 32 |
global economy | 32 |
first case | 32 |
political instability | 31 |
environmental degradation | 31 |
financial situation | 31 |
locally adapted | 31 |
important role | 31 |
destination countries | 31 |
results show | 31 |
tested positive | 30 |
data analysis | 30 |
policy makers | 30 |
health emergency | 30 |
international trade | 30 |
green finance | 30 |
across europe | 30 |
young people | 30 |
per population | 30 |
disease prevention | 30 |
high level | 30 |
water reuse | 30 |
poorest countries | 30 |
social pharmacy | 30 |
second wave | 29 |
per country | 29 |
contact tracing | 29 |
poorer countries | 29 |
health needs | 29 |
country level | 29 |
active cases | 29 |
status quo | 29 |
pandemic risk | 29 |
health approach | 29 |
article bis | 29 |
collaboration ratio | 29 |
early stages | 29 |
health policy | 29 |
linear regression | 29 |
health expenditures | 28 |
earnings management | 28 |
local transmission | 28 |
systematic review | 28 |
daily cases | 28 |
health outcomes | 28 |
prime minister | 28 |
nan doi | 28 |
twentieth century | 28 |
population growth | 28 |
individual countries | 28 |
every country | 28 |
surveillance systems | 28 |
world development | 28 |
older adults | 28 |
new vaccines | 27 |
negative impact | 27 |
harm reduction | 27 |
basic sanitation | 27 |
covid cases | 27 |
control variables | 27 |
several countries | 27 |
scientific production | 27 |
pharmaceutical interventions | 26 |
czech republic | 26 |
affected countries | 26 |
international cooperation | 26 |
supply chains | 26 |
north africa | 26 |
less likely | 26 |
will require | 26 |
informal sector | 26 |
health interventions | 26 |
travel restriction | 26 |
south asia | 26 |
infection spread | 26 |
physical distancing | 26 |
comparator countries | 26 |
smoking prevalence | 25 |
health security | 25 |
temporary protection | 25 |
johns hopkins | 25 |
large numbers | 25 |
imported cases | 25 |
countries must | 25 |
data sets | 25 |
many developing | 25 |
first covid | 25 |
different types | 25 |
authors declare | 25 |
confirmed covid | 25 |
disease burden | 25 |
health coverage | 25 |
foodborne disease | 25 |
long term | 25 |
health workers | 25 |
national level | 25 |
citizens abroad | 25 |
economic impact | 25 |
hong kong | 25 |
water resources | 25 |
better governance | 25 |
incubation period | 24 |
child health | 24 |
chronic disease | 24 |
supplementary material | 24 |
government response | 24 |
social norms | 24 |
tourism sector | 24 |
host countries | 24 |
value chains | 24 |
death rate | 24 |
countries according | 24 |
health authorities | 24 |
social networks | 24 |
previous studies | 24 |
risk perceptions | 24 |
armed conflict | 24 |
primary health | 24 |
preventive measures | 24 |
poor people | 24 |
low levels | 24 |
millennium development | 24 |
institutional context | 24 |
public policy | 24 |
child mortality | 24 |
country i | 24 |
coronavirus cases | 23 |
renewable energy | 23 |
diabetes mellitus | 23 |
first time | 23 |
animal health | 23 |
development indicators | 23 |
growth rates | 23 |
western countries | 23 |
participating countries | 23 |
substance use | 23 |
clinical trials | 23 |
development assistance | 23 |
new technologies | 23 |
national governments | 23 |
protective equipment | 23 |
global pandemic | 23 |
informal enterprises | 23 |
infant mortality | 23 |
fatality rates | 23 |
panel data | 23 |
cardiovascular diseases | 23 |
risk reduction | 23 |
million population | 23 |
per day | 23 |
immunization programs | 23 |
resource allocation | 23 |
disease surveillance | 23 |
coronavirus outbreak | 23 |
important factor | 22 |
see also | 22 |
confirmed case | 22 |
measures taken | 22 |
corona virus | 22 |
eastern europe | 22 |
heart disease | 22 |
health spending | 22 |
cumulative number | 22 |
cardiovascular disease | 22 |
daily new | 22 |
social media | 22 |
sir model | 22 |
displaced persons | 22 |
infected individuals | 22 |
social assistance | 22 |
social welfare | 22 |
descriptive infrastructure | 22 |
new infections | 22 |
country chapters | 22 |
higher levels | 22 |
civil society | 22 |
public opinion | 22 |
total cases | 22 |
home countries | 22 |
virus spread | 22 |
disaster risk | 22 |
organic matter | 22 |
water supplies | 22 |
without controls | 22 |
global population | 22 |
international organizations | 22 |
regression analysis | 21 |
health education | 21 |
much higher | 21 |
publicly available | 21 |
global financial | 21 |
empirical evidence | 21 |
law distribution | 21 |
independent variables | 21 |
vulnerable groups | 21 |
western pacific | 21 |
hospital care | 21 |
risk groups | 21 |
avian influenza | 21 |
home country | 21 |
controlled period | 21 |
one hand | 21 |
time period | 21 |
available data | 21 |
social sciences | 21 |
human health | 21 |
pharmaceutical products | 21 |
gavi alliance | 21 |
health facilities | 21 |
governance countries | 21 |
will need | 21 |
adult vaccine | 21 |
million cases | 21 |
spanish economy | 21 |
highest number | 21 |
western europe | 21 |
will likely | 21 |
new daily | 21 |
local governments | 21 |
two different | 21 |
health conditions | 20 |
optimization models | 20 |
migrant workers | 20 |
doubling rate | 20 |
helminth eggs | 20 |
first century | 20 |
communicable disease | 20 |
given country | 20 |
intensive care | 20 |
international mobility | 20 |
st century | 20 |
care services | 20 |
green financing | 20 |
debt relief | 20 |
economic activity | 20 |
advanced countries | 20 |
reproduction numbers | 20 |
cryptosporidium spp | 20 |
war ii | 20 |
limited resources | 20 |
maternal mortality | 20 |
reproductive number | 20 |
people living | 20 |
treated countries | 20 |
national identity | 20 |
political economy | 20 |
health infrastructure | 20 |
social insurance | 20 |
posted september | 20 |
first confirmed | 20 |
decision making | 20 |
donor countries | 20 |
change mitigation | 20 |
economic conditions | 20 |
population groups | 20 |
entity pairs | 20 |
income per | 19 |
future research | 19 |
diagnostic rate | 19 |
face masks | 19 |
labor market | 19 |
medical supplies | 19 |
aid support | 19 |
global public | 19 |
disease spread | 19 |
total deaths | 19 |
neighboring countries | 19 |
universal coverage | 19 |
national immunization | 19 |
reduction services | 19 |
high population | 19 |
caribbean countries | 19 |
will increase | 19 |
standard errors | 19 |
adult vaccines | 19 |
widely used | 19 |
living standards | 19 |
sri lanka | 19 |
transmission rates | 19 |
development index | 19 |
asylum seekers | 19 |
weak health | 19 |
will continue | 19 |
pharmaceutical companies | 19 |
cases reported | 19 |
will also | 19 |
age groups | 19 |
hospital beds | 19 |
social mobility | 19 |
natural resources | 19 |
worse governance | 19 |
mena countries | 19 |
pregnant women | 19 |
formal institutions | 19 |
health targets | 19 |
importation risk | 19 |
unemployment rate | 19 |
public sector | 19 |
global level | 19 |
united arab | 19 |
financial support | 18 |
differences among | 18 |
global economic | 18 |
arab emirates | 18 |
member state | 18 |
two groups | 18 |
countries within | 18 |
countries also | 18 |
health risks | 18 |
social connections | 18 |
health measures | 18 |
log scale | 18 |
health response | 18 |
informal economy | 18 |
treated wastewater | 18 |
personal protective | 18 |
modelling study | 18 |
us government | 18 |
informal actors | 18 |
data collection | 18 |
three countries | 18 |
environmental health | 18 |
west africa | 18 |
international agencies | 18 |
exotic breeds | 18 |
deaths per | 18 |
distancing measures | 18 |
information systems | 18 |
living conditions | 18 |
social benefits | 18 |
outbreak control | 18 |
developing country | 18 |
internal movement | 18 |
genetic resources | 18 |
host country | 18 |
policy responses | 18 |
food insecurity | 17 |
us billion | 17 |
physical environment | 17 |
health professionals | 17 |
fixed effects | 17 |
subjective well | 17 |
take place | 17 |
production systems | 17 |
case studies | 17 |
influenza pandemic | 17 |
countries show | 17 |
coronavirus risk | 17 |
care facilities | 17 |
eu citizens | 17 |
physical inactivity | 17 |
risk perception | 17 |
eastern mediterranean | 17 |
raw data | 17 |
international monetary | 17 |
national income | 17 |
quarantine rate | 17 |
beds per | 17 |
public support | 17 |
sending states | 17 |
supply chain | 17 |
study period | 17 |
data used | 17 |
health emergencies | 17 |
monetary fund | 17 |
south america | 17 |
confidence intervals | 17 |
also made | 17 |
best practices | 17 |
health research | 17 |
economic status | 17 |
income level | 17 |
th century | 17 |
additional file | 17 |
higher number | 17 |
healthcare expenditures | 17 |
early containment | 17 |
local authorities | 17 |
substantive infrastructure | 17 |
less developed | 17 |
two decades | 17 |
human consumption | 17 |
truncated power | 17 |
health indicators | 17 |
world population | 17 |
religious norms | 16 |
respiratory tract | 16 |
hopkins university | 16 |
poor health | 16 |
healthy people | 16 |
global development | 16 |
may lead | 16 |
hemorrhagic fever | 16 |
sample size | 16 |
european commission | 16 |
economic impacts | 16 |
international business | 16 |
structural adjustment | 16 |
social capital | 16 |
creative commons | 16 |
public services | 16 |
health programs | 16 |
infection rates | 16 |
working paper | 16 |
noncommunicable diseases | 16 |
regression model | 16 |
countries date | 16 |
preventable diseases | 16 |
tourism industry | 16 |
health institutions | 16 |
economic factors | 16 |
developed world | 16 |
many cases | 16 |
european region | 16 |
factor variables | 16 |
positive cases | 16 |
patent protection | 16 |
relatively high | 16 |
much larger | 16 |
current situation | 16 |
environmental regulation | 16 |
countries based | 16 |
global depression | 16 |
older people | 16 |
adult vaccination | 16 |
significant differences | 16 |
recent study | 16 |
health policies | 16 |
forced migrants | 16 |
novelty scores | 16 |
infected person | 16 |
water sources | 16 |
managed care | 16 |
many others | 16 |
data set | 16 |
april th | 16 |
middle income | 16 |
cruise ship | 16 |
confirmed deaths | 16 |
social environment | 16 |
foodborne illness | 16 |
insurance systems | 16 |
world food | 16 |
excess mortality | 16 |
social determinants | 16 |
foodborne illnesses | 16 |
healthcare workers | 16 |
elderly people | 16 |
trade openness | 16 |
herd immunity | 16 |
null hypothesis | 16 |
outbreak management | 15 |
intermediary countries | 15 |
environmental quality | 15 |
relatively low | 15 |
existing social | 15 |
commonly used | 15 |
assistance programmes | 15 |
member countries | 15 |
emerging countries | 15 |
federal government | 15 |
economic effects | 15 |
medical equipment | 15 |
better health | 15 |
explanatory variables | 15 |
increasing number | 15 |
health information | 15 |
implied price | 15 |
logistic regression | 15 |
soviet union | 15 |
global value | 15 |
human resource | 15 |
consular services | 15 |
institutional affiliations | 15 |
previous years | 15 |
first cases | 15 |
related deaths | 15 |
past years | 15 |
cumulative cases | 15 |
global scale | 15 |
international law | 15 |
melinda gates | 15 |
improve health | 15 |
contaminated food | 15 |
health threats | 15 |
mainland china | 15 |
single country | 15 |
national diabetes | 15 |
low income | 15 |
polluting industries | 15 |
comparative analysis | 15 |
may th | 15 |
two weeks | 15 |
east respiratory | 15 |
general population | 15 |
rate factors | 15 |
objective functions | 15 |
health regulations | 15 |
water quality | 15 |
crisis period | 15 |
step life | 15 |
environmental conditions | 15 |
foodborne diseases | 15 |
health risk | 15 |
intestinal parasites | 15 |
health crisis | 15 |
family members | 15 |
immunization coverage | 15 |
antimicrobial resistance | 15 |
gates foundation | 15 |
different levels | 15 |
development aid | 15 |
environmental regulations | 15 |
health organisation | 14 |
countries around | 14 |
global warming | 14 |
neighbouring countries | 14 |
may well | 14 |
international flights | 14 |
pharmacy practice | 14 |
high degree | 14 |
business continuity | 14 |
health inequalities | 14 |
pandemic spread | 14 |
vulnerable populations | 14 |
high incidence | 14 |
substitution effect | 14 |
systematic analysis | 14 |
government work | 14 |
safe water | 14 |
control condition | 14 |
random forest | 14 |
risk assessment | 14 |
global supply | 14 |
legal protection | 14 |
cervical cancer | 14 |
among others | 14 |
medical exemptions | 14 |
economic performance | 14 |
last years | 14 |
statistical significance | 14 |
lessons learned | 14 |
put forward | 14 |
coronavirus spread | 14 |
epidemiological data | 14 |
sanitation systems | 14 |
south east | 14 |
papers published | 14 |
road traffic | 14 |
sanitation facilities | 14 |
kuznets curve | 14 |
safe food | 14 |
zoonotic research | 14 |
local level | 14 |
private health | 14 |
risk exposure | 14 |
allows us | 14 |
former soviet | 14 |
fecal sludge | 14 |
developing economies | 14 |
current pandemic | 14 |
spillover effects | 14 |
civil war | 14 |
mediterranean region | 14 |
income inequality | 14 |
national borders | 14 |
using data | 14 |
unequal exchange | 14 |
also includes | 14 |
confidence interval | 14 |
internally displaced | 14 |
preventive care | 14 |
many people | 14 |
standard deviation | 14 |
initial stages | 14 |
countries considered | 14 |
political will | 14 |
reported data | 14 |
nineteenth century | 14 |
many different | 14 |
central european | 14 |
improved health | 14 |
age distribution | 14 |
international spread | 14 |
critical exponent | 14 |
satisfaction across | 13 |
wastewater sludge | 13 |
president trump | 13 |
must take | 13 |
destination country | 13 |
factors affecting | 13 |
social affairs | 13 |
may require | 13 |
trade organization | 13 |
surface water | 13 |
country may | 13 |
physical activity | 13 |
health disparities | 13 |
environmental factors | 13 |
one example | 13 |
global network | 13 |
disease outbreak | 13 |
septic tanks | 13 |
infl uenza | 13 |
council regulation | 13 |
global vaccine | 13 |
escherichia coli | 13 |
ottawa charter | 13 |
decision trees | 13 |
may result | 13 |
international arrivals | 13 |
patients infected | 13 |
ip protection | 13 |
tests per | 13 |
good health | 13 |
care workers | 13 |
world trade | 13 |
third countries | 13 |
health doi | 13 |
financial institutions | 13 |
uruguay round | 13 |
essential health | 13 |
urban population | 13 |
five years | 13 |
middleincome countries | 13 |
social support | 13 |
susceptible population | 13 |
middle eastern | 13 |
high mortality | 13 |
will help | 13 |
fi nancing | 13 |
robust standard | 13 |
age group | 13 |
quo scenario | 13 |
medical technologies | 13 |
informal institutions | 13 |
three different | 13 |
five countries | 13 |
test kits | 13 |
may differ | 13 |
effective reproduction | 13 |
medical services | 13 |
health protection | 13 |
also show | 13 |
swimming pools | 13 |
first wave | 13 |
near future | 13 |
water bodies | 13 |
uk government | 13 |
bottled water | 13 |
gulf region | 13 |
human beings | 13 |
health agencies | 13 |
donald trump | 13 |
capita income | 13 |
limited number | 13 |
posted july | 13 |
financial assistance | 13 |
helminth ova | 13 |
case counts | 13 |
current account | 13 |
open booking | 13 |
type diabetes | 13 |
economic burden | 13 |
diaspora policies | 13 |
syndrome coronavirus | 13 |
sanitation services | 13 |
results suggest | 13 |
international community | 13 |
natural hazards | 13 |
work intensity | 13 |
rapid spread | 13 |
country specific | 13 |
business travelers | 13 |
cooperation council | 13 |
negative effects | 13 |
economic costs | 13 |
different approaches | 13 |
unemployment insurance | 13 |
borne diseases | 13 |
effective response | 13 |
financial resources | 13 |
two entities | 13 |
i use | 13 |
recipient countries | 13 |
present study | 12 |
exporting countries | 12 |
foodborne outbreaks | 12 |
first two | 12 |
many years | 12 |
economic activities | 12 |
high commissioner | 12 |
diamond princess | 12 |
new covid | 12 |
go beyond | 12 |
years old | 12 |
healthcare spending | 12 |
one another | 12 |
online appendix | 12 |
leading cause | 12 |
spread across | 12 |
average annual | 12 |
days since | 12 |
crisis management | 12 |
foreign investment | 12 |
total assets | 12 |
several factors | 12 |
infected persons | 12 |
collaborating countries | 12 |
registered cases | 12 |
wide variety | 12 |
healthy life | 12 |
urban poor | 12 |
oecd countries | 12 |
mean value | 12 |
gross inflows | 12 |
three main | 12 |
coronavirus research | 12 |
labor force | 12 |
will take | 12 |
first reported | 12 |
mena health | 12 |
total confirmed | 12 |
diarrheal diseases | 12 |
two main | 12 |
countries worldwide | 12 |
long time | 12 |
including covid | 12 |
aid agencies | 12 |
impulse response | 12 |
situation reports | 12 |
new health | 12 |
basic health | 12 |
general practitioners | 12 |
moving average | 12 |
poverty reduction | 12 |
ecologically unequal | 12 |
york city | 12 |
development report | 12 |
immune system | 12 |
hubei province | 12 |
outbreak period | 12 |
epidemiological models | 12 |
tourism demand | 12 |
low level | 12 |
russian federation | 12 |
renal syndrome | 12 |
well known | 12 |
resident nationals | 12 |
ad hoc | 12 |
higher risk | 12 |
daily covid | 12 |
coronavirus crisis | 12 |
emerging infections | 12 |
chaotic behavior | 12 |
adverse effects | 12 |
green bonds | 12 |
great britain | 12 |
gross national | 12 |
us million | 12 |
open access | 12 |
sexually transmitted | 12 |
lesser extent | 12 |
large scale | 12 |
west african | 12 |
median age | 12 |
patent owners | 12 |
pocket payments | 12 |
promote health | 12 |
food supplies | 12 |
lockdown policies | 12 |
governance indicators | 12 |
adapted breeds | 12 |
weekly period | 12 |
care costs | 12 |
cohort study | 12 |
national policies | 12 |
treatment process | 12 |
large part | 12 |
significant association | 12 |
targeted development | 12 |
crisis response | 12 |
economic situation | 12 |
infection rate | 12 |
will lead | 12 |
last decade | 12 |
neglected diseases | 12 |
site sanitation | 12 |
hospitalized patients | 12 |
staphylococcus aureus | 12 |
certain countries | 12 |
national institute | 12 |
licensing facility | 12 |
human right | 12 |
countries including | 12 |
zoonotic diseases | 12 |
people live | 12 |
important part | 12 |
service delivery | 12 |
different ways | 12 |
drug administration | 12 |
market share | 12 |
countries face | 12 |
efficient use | 12 |
safety standards | 12 |
movement control | 12 |
decision tree | 12 |
different models | 12 |
land area | 12 |
clean water | 12 |
also important | 12 |
food outlets | 12 |
different stages | 12 |
decision variables | 12 |
imported food | 12 |
mass media | 12 |
multinational companies | 12 |
collected data | 12 |
provide services | 12 |
every year | 12 |
foreign variables | 12 |
job retention | 12 |
satisfaction among | 11 |
current crisis | 11 |
sea levels | 11 |
improving health | 11 |
testing kits | 11 |
mass testing | 11 |
used water | 11 |
health workforce | 11 |
health field | 11 |
affected populations | 11 |
working group | 11 |
least square | 11 |
jurisdictional claims | 11 |
data points | 11 |
series data | 11 |
positive impact | 11 |
reuse allowed | 11 |
small number | 11 |
remains neutral | 11 |
management practices | 11 |
socioeconomic status | 11 |
epidemic prevalence | 11 |
potential impact | 11 |
people per | 11 |
novel entity | 11 |
health concept | 11 |
insurance plans | 11 |
broad range | 11 |
representation institutions | 11 |
brics countries | 11 |
also provides | 11 |
food supply | 11 |
significant role | 11 |
real estate | 11 |
time since | 11 |
primary prevention | 11 |
second phase | 11 |
effective public | 11 |
three categories | 11 |
per person | 11 |
transmission dynamics | 11 |
published maps | 11 |
natural history | 11 |
comparative study | 11 |
mena region | 11 |
mean mortality | 11 |
health shocks | 11 |
mesh terms | 11 |
recent studies | 11 |
princess cruise | 11 |
humanitarian crises | 11 |
occupational health | 11 |
may need | 11 |
may affect | 11 |
care providers | 11 |
gulf cooperation | 11 |
purchasing power | 11 |
took place | 11 |
population sizes | 11 |
initial phase | 11 |
i also | 11 |
death tolls | 11 |
global survey | 11 |
stringency index | 11 |
annual temperature | 11 |
movement within | 11 |
general public | 11 |
water availability | 11 |
without permission | 11 |
may cause | 11 |
th percentile | 11 |
pacific regions | 11 |
also affect | 11 |
allowed without | 11 |
deaths reported | 11 |
literature review | 11 |
elderly population | 11 |
team size | 11 |
days ago | 11 |
network analysis | 11 |
countries using | 11 |
nature remains | 11 |
among people | 11 |
adjusted life | 11 |
across different | 11 |
net migration | 11 |
must also | 11 |
latin american | 11 |
pharmacy education | 11 |
pandemic will | 11 |
respiratory diseases | 11 |
health planning | 11 |
high number | 11 |
new vaccine | 11 |
global spread | 11 |
data sources | 11 |
drug users | 11 |
rich countries | 11 |
socioeconomic factors | 11 |
diabetic patients | 11 |
ill health | 11 |
developing nations | 11 |
clinical trial | 11 |
doubling rates | 11 |
infected population | 11 |
arab middle | 11 |
th march | 11 |
severe disease | 11 |
multiple countries | 11 |
distancing responses | 11 |
scholarly resources | 11 |
financial crises | 11 |
basic food | 11 |
pacific region | 11 |
may vary | 11 |
international migration | 11 |
also used | 11 |
objective function | 11 |
springer nature | 11 |
may become | 11 |
advocacy groups | 11 |
developed nations | 11 |
food consumption | 11 |
empirical analysis | 11 |
national schedule | 11 |
score card | 11 |
four countries | 11 |
internationally collaborative | 11 |
public policies | 11 |
pneumococcal vaccine | 11 |
precautionary measures | 11 |
countries affected | 11 |
first days | 11 |
high quality | 11 |
deaths due | 11 |
less effective | 11 |
life cycle | 11 |
health surveillance | 11 |
major cause | 11 |
previous day | 11 |
positive correlation | 11 |
food control | 11 |
effect size | 11 |
significantly higher | 11 |
case distribution | 11 |
health benefits | 11 |
factors associated | 11 |
emerging disease | 11 |
global south | 11 |
east asian | 11 |
health consequences | 11 |
real time | 11 |
herpes zoster | 11 |
milk yield | 11 |
trauma drama | 11 |
health resources | 11 |
critical role | 11 |
different regions | 11 |
public goods | 10 |
ecological study | 10 |
cluster analysis | 10 |
post lockdown | 10 |
american countries | 10 |
may increase | 10 |
public hospitals | 10 |
first global | 10 |
made disasters | 10 |
another country | 10 |
gulf countries | 10 |
coronavirus sars | 10 |
factors may | 10 |
health innovation | 10 |
countries might | 10 |
important factors | 10 |
private companies | 10 |
personal health | 10 |
stock market | 10 |
spatial weight | 10 |
use disorders | 10 |
force status | 10 |
like covid | 10 |
least squares | 10 |
risk group | 10 |
gdp loss | 10 |
bcg vaccine | 10 |
case finding | 10 |
factor analysis | 10 |
real cfr | 10 |
private insurance | 10 |
trade barriers | 10 |
social groups | 10 |
healthy cities | 10 |
nongovernmental organizations | 10 |
many european | 10 |
much less | 10 |
march th | 10 |
ebola virus | 10 |
health priorities | 10 |
social structure | 10 |
universal declaration | 10 |
often used | 10 |
government agencies | 10 |
government responses | 10 |
two types | 10 |
determine whether | 10 |
population living | 10 |
statistical computing | 10 |
bill melinda | 10 |
coronavirus covid | 10 |
homeland authorities | 10 |
different states | 10 |
low number | 10 |
response tracker | 10 |
medical treatment | 10 |
premature death | 10 |
correlation coefficient | 10 |
health effects | 10 |
poverty alleviation | 10 |
first day | 10 |
posted august | 10 |
lung cancer | 10 |
principal component | 10 |
short time | 10 |
global covid | 10 |
note springer | 10 |
cold war | 10 |
central europe | 10 |
day period | 10 |
technology transfer | 10 |
gross fdi | 10 |
based approach | 10 |
high income | 10 |
low birth | 10 |
infected cases | 10 |
memory effect | 10 |
pandemic response | 10 |
facilitation role | 10 |
high risk | 10 |
medical facilities | 10 |
entity pair | 10 |
competing interests | 10 |
healthcare resources | 10 |
fitting frame | 10 |
attack rate | 10 |
attacks perpetrated | 10 |
patent system | 10 |
innovative financing | 10 |
close contact | 10 |
contaminated water | 10 |
clustering algorithm | 10 |
world market | 10 |
infected patients | 10 |
health intervention | 10 |
densely populated | 10 |
negative correlation | 10 |
actual number | 10 |
new coronavirus | 10 |
holistic view | 10 |
means clustering | 10 |
time periods | 10 |
different parts | 10 |
equitable access | 10 |
average novelty | 10 |
service providers | 10 |
will provide | 10 |
government spending | 10 |
drug resistance | 10 |
cigarette smoking | 10 |
international concern | 10 |
extended dataset | 10 |
task force | 10 |
formal firms | 10 |
parasitic infections | 10 |
billion people | 10 |
achieve universal | 10 |
terrorist events | 10 |
residing abroad | 10 |
term effects | 10 |
attributable mortality | 10 |
testing rates | 10 |
countries need | 10 |
global trends | 10 |
sample sizes | 10 |
environmental pollution | 10 |
years ago | 10 |
cash transfers | 10 |
antibiotic therapy | 10 |
nursing homes | 10 |
new deaths | 10 |
posted april | 10 |
respondent countries | 10 |
surveillance system | 10 |
outside china | 10 |
respiratory infections | 10 |
political institutions | 10 |
eu legislation | 10 |
international development | 10 |
growth model | 10 |
york times | 10 |
livestock production | 10 |
differential equations | 10 |
exponential phase | 10 |
vaccine coverage | 10 |
humanitarian aid | 10 |
compulsory license | 10 |
power parity | 10 |
epidemic curve | 10 |
epidemic growth | 10 |
new challenges | 10 |
great depression | 10 |
clinical medicine | 10 |
clinical features | 10 |
taking place | 10 |
much lower | 10 |
country comparisons | 10 |
around age | 10 |
economic indicators | 10 |
quality assurance | 10 |
countries included | 10 |
civil unrest | 10 |
mortality data | 10 |
respective countries | 10 |
one week | 10 |
welfare state | 10 |
product per | 10 |
local populations | 10 |
particularly important | 10 |
financial system | 10 |
epidemic spread | 10 |
fi rst | 10 |
countries without | 10 |
term care | 10 |
global resource | 10 |
private enterprises | 10 |
total health | 10 |
takes place | 10 |
world economic | 10 |
lymphogranuloma venereum | 10 |
many factors | 10 |
global food | 10 |
virus infection | 9 |
law distributions | 9 |
bacillus cereus | 9 |
among children | 9 |
table reports | 9 |
also shows | 9 |
data source | 9 |
health challenges | 9 |
ten years | 9 |
terrorism events | 9 |
work time | 9 |
medical technology | 9 |
countries reporting | 9 |
imperial college | 9 |
section presents | 9 |
several years | 9 |
vast majority | 9 |
european country | 9 |
appendix i | 9 |
suspended solids | 9 |
cryptosporidium infections | 9 |
health initiative | 9 |
step model | 9 |
one study | 9 |
future studies | 9 |
reported death | 9 |
prevalence rate | 9 |
early phase | 9 |
directly related | 9 |
daily data | 9 |
see box | 9 |
poverty incidence | 9 |
global north | 9 |
future pandemics | 9 |
single day | 9 |
institutional settings | 9 |
local government | 9 |
health assembly | 9 |
religious social | 9 |
north african | 9 |
new forms | 9 |
studies suggest | 9 |
economic crises | 9 |
main reason | 9 |
group differences | 9 |
homeland security | 9 |
business travel | 9 |
travel history | 9 |
least one | 9 |
may provide | 9 |
sanitation coverage | 9 |
last decades | 9 |
food products | 9 |
remains high | 9 |
market failure | 9 |
support vector | 9 |
integral part | 9 |
flush toilets | 9 |
also due | 9 |
international conference | 9 |
almost certainly | 9 |
intermittent renewables | 9 |
affordable prices | 9 |
systolic blood | 9 |
disease transmission | 9 |
previous research | 9 |
polluted water | 9 |
control strategies | 9 |
three years | 9 |
periurban areas | 9 |
national authorities | 9 |
natural disaster | 9 |
million inhabitants | 9 |
different social | 9 |
expected number | 9 |
hand washing | 9 |
professional organizations | 9 |
average temperature | 9 |
drug use | 9 |
care infrastructure | 9 |
long run | 9 |
closely related | 9 |
movement restriction | 9 |
study design | 9 |
development policy | 9 |
country blocks | 9 |
correlation analysis | 9 |
recent decades | 9 |
management function | 9 |
conditions among | 9 |
maximum number | 9 |
data available | 9 |
health equity | 9 |
countries across | 9 |
neonatal mortality | 9 |
factors related | 9 |
world economy | 9 |
development bank | 9 |
learning models | 9 |
local health | 9 |
life years | 9 |
travel volumes | 9 |
old age | 9 |
error term | 9 |
legally binding | 9 |
health personnel | 9 |
food hygiene | 9 |
exponential fits | 9 |
computed using | 9 |
role played | 9 |
economic policy | 9 |
two authors | 9 |
virus disease | 9 |
bcg vaccination | 9 |
people died | 9 |
tests performed | 9 |
policy implications | 9 |
municipal wastewater | 9 |
international financial | 9 |
linear model | 9 |
foreign country | 9 |
time course | 9 |
human life | 9 |
young children | 9 |
new paradigm | 9 |
may influence | 9 |
health problem | 9 |
participating governments | 9 |
observation period | 9 |
three months | 9 |
individual health | 9 |
return home | 9 |
equal access | 9 |
social factors | 9 |
factors like | 9 |
border controls | 9 |
state actors | 9 |
ghci values | 9 |
officially reported | 9 |
equally important | 9 |
table presents | 9 |
intermediary country | 9 |
data files | 9 |
significant impact | 9 |
issues related | 9 |
small pox | 9 |
scientific community | 9 |
testing rate | 9 |
inclusion criteria | 9 |
country locale | 9 |
older age | 9 |
including health | 9 |
regional offi | 9 |
correlation coefficients | 9 |
mobile phone | 9 |
malaria control | 9 |
least two | 9 |
positive association | 9 |
vulnerable people | 9 |
best model | 9 |
collaboration networks | 9 |
detection probability | 9 |
health program | 9 |
among men | 9 |
arab region | 9 |
probability distribution | 9 |
market size | 9 |
foreign policy | 9 |
social connectedness | 9 |
moving forward | 9 |
agricultural production | 9 |
national breed | 9 |
worth noting | 9 |
lockdown period | 9 |
across borders | 9 |
older population | 9 |
insurance industry | 9 |
management systems | 9 |
patent systems | 9 |
model parameters | 9 |
rising sea | 9 |
loved ones | 9 |
traffic accidents | 9 |
addiction medicine | 9 |
three days | 9 |
countries outside | 9 |
better understand | 9 |
fitting error | 9 |
locally produced | 9 |
control policies | 9 |
protection needs | 9 |
entity combination | 9 |
mitigation period | 9 |
clinical course | 9 |
care homes | 9 |
oxford covid | 9 |
emerging diseases | 9 |
regional office | 9 |
important element | 9 |
new diseases | 9 |
intestinal parasitic | 9 |
global response | 9 |
among european | 9 |
country will | 9 |
will affect | 9 |
reported covid | 9 |
basic human | 9 |
step happiness | 9 |
air pollution | 9 |
countries network | 9 |
developing ones | 9 |
time quality | 9 |
dominican republic | 9 |
individual country | 9 |
three groups | 9 |
euclidean distance | 9 |
home orders | 9 |
epidemiological model | 9 |
past days | 9 |
great recession | 9 |
historical data | 9 |
term forecast | 9 |
results indicate | 9 |
daily deaths | 9 |
wealthy countries | 9 |
occupational injuries | 9 |
infection among | 9 |
determining whether | 9 |
also observed | 9 |
aid attitudes | 9 |
lockdown date | 9 |
energy efficiency | 9 |
also include | 9 |
approximately million | 9 |
care act | 9 |
border restrictions | 9 |
prem model | 9 |
fewer cases | 9 |
human immunodeficiency | 9 |
social relations | 9 |
diabetes plan | 9 |
will become | 9 |
lockdown policy | 9 |
first stage | 9 |
social network | 9 |
rapid response | 9 |
nitric oxide | 9 |
level variables | 9 |
high case | 9 |
global market | 9 |
energy sector | 9 |
viral infections | 9 |
health responses | 9 |
sierra leone | 9 |
medical doctors | 9 |
social class | 9 |
treat wastewater | 9 |
economic consequences | 8 |
fdi flows | 8 |
healthcare infrastructure | 8 |
geographic distribution | 8 |
icu beds | 8 |
bank group | 8 |
vaccine market | 8 |
stone curlews | 8 |
demographic factors | 8 |
scarce resources | 8 |
human services | 8 |
intervention methods | 8 |
european health | 8 |
family member | 8 |
early detection | 8 |
high prevalence | 8 |
treatment services | 8 |
uncertain data | 8 |
also provide | 8 |
case management | 8 |
nipah virus | 8 |
current smokers | 8 |
treated water | 8 |
methods used | 8 |
rates among | 8 |
percentage points | 8 |
vertical fdi | 8 |
health statistics | 8 |
study also | 8 |
international aid | 8 |
production process | 8 |
aid increases | 8 |
response plan | 8 |
country variation | 8 |
migratory flows | 8 |
adult focus | 8 |
model based | 8 |
social measures | 8 |
newly emerging | 8 |
positive effect | 8 |
another important | 8 |
coming years | 8 |
different time | 8 |
pharmaceutical industry | 8 |
infections among | 8 |
high rates | 8 |
biosolids management | 8 |
countries selected | 8 |
geographic areas | 8 |
jakob disease | 8 |
animal trade | 8 |
diaspora populations | 8 |
one important | 8 |
social risks | 8 |
mass gatherings | 8 |
public institutions | 8 |
expatriate workers | 8 |
national government | 8 |
mandatory elements | 8 |
billion dollars | 8 |
global var | 8 |
crucial role | 8 |
informal workers | 8 |
protection systems | 8 |
one million | 8 |
health hazards | 8 |
last two | 8 |
low mortality | 8 |
higher percentage | 8 |
global atlas | 8 |
straits times | 8 |
national economy | 8 |
public trust | 8 |
public awareness | 8 |
contingency plans | 8 |
time horizon | 8 |
child care | 8 |
medical staff | 8 |
every day | 8 |
different european | 8 |
restrictions imposed | 8 |
epidemiologic surveillance | 8 |
country names | 8 |
might also | 8 |
global demand | 8 |
time interval | 8 |
global healthcare | 8 |
personal relationships | 8 |
mathematical models | 8 |
death data | 8 |
heavy metals | 8 |
age dependent | 8 |
optimal control | 8 |
subject matter | 8 |
cumulative infection | 8 |
safety issues | 8 |
neonatal infections | 8 |
human population | 8 |
th april | 8 |
tourism organization | 8 |
mobility data | 8 |
welcome uses | 8 |
upper bound | 8 |
enteric viruses | 8 |
past century | 8 |
population model | 8 |
collective memory | 8 |
national consortium | 8 |
treatment options | 8 |
gdp pc | 8 |
agricultural irrigation | 8 |
health initiatives | 8 |
three weeks | 8 |
capital formation | 8 |
horizontal fdi | 8 |
days later | 8 |
direct contact | 8 |
take advantage | 8 |
safety measures | 8 |
many parts | 8 |
population ageing | 8 |
animal genetic | 8 |
developing regions | 8 |
million deaths | 8 |
job security | 8 |
will depend | 8 |
older adult | 8 |
global crisis | 8 |
scale model | 8 |
technical assistance | 8 |
preventive services | 8 |
sampled countries | 8 |
effect sizes | 8 |
collaboration patterns | 8 |
scientific research | 8 |
scientific collaboration | 8 |
zero otherwise | 8 |
great deal | 8 |
human behavior | 8 |
late twentieth | 8 |
longer time | 8 |
safety net | 8 |
mitigation strategies | 8 |
political commitment | 8 |
results obtained | 8 |
suspected cases | 8 |
country governments | 8 |
health impact | 8 |
collaborative papers | 8 |
food industry | 8 |
epidemic models | 8 |
origin countries | 8 |
across european | 8 |
develop new | 8 |
adverse events | 8 |
tourism destinations | 8 |
highest level | 8 |
health community | 8 |
higher mortality | 8 |
pneumococcal conjugate | 8 |
per se | 8 |
i report | 8 |
high temperatures | 8 |
natural logarithm | 8 |
following sections | 8 |
inverse association | 8 |
governments may | 8 |
response rates | 8 |
yellow fever | 8 |
human security | 8 |
poorest populations | 8 |
government expenditure | 8 |
based health | 8 |
work reported | 8 |
provide access | 8 |
financial interests | 8 |
initial conditions | 8 |
saharan african | 8 |
china will | 8 |
empirical data | 8 |
protozoan parasites | 8 |
regional cooperation | 8 |
another example | 8 |
represent significance | 8 |
seven countries | 8 |
culturally appropriate | 8 |
eastern countries | 8 |
fold increase | 8 |
diagnostic tests | 8 |
particular country | 8 |
interest rates | 8 |
infected countries | 8 |
case per | 8 |
also help | 8 |
resources management | 8 |
high proportion | 8 |
much greater | 8 |
top countries | 8 |
htn virus | 8 |
also reported | 8 |
right column | 8 |
i jt | 8 |
also affected | 8 |
ethical issues | 8 |
treatment processes | 8 |
deaths worldwide | 8 |
diabetes care | 8 |
provision role | 8 |
industrial revolution | 8 |
different purposes | 8 |
movement across | 8 |
time scale | 8 |
west nile | 8 |
people infected | 8 |
also found | 8 |
coronavirus papers | 8 |
also possible | 8 |
flight information | 8 |
market economies | 8 |
affordable care | 8 |
income levels | 8 |
countries implemented | 8 |
causative agent | 8 |
spanish flu | 8 |
mental illness | 8 |
epidemic model | 8 |
current covid | 8 |
next section | 8 |
framework convention | 8 |
regional differences | 8 |
remaining countries | 8 |
informal employment | 8 |
around million | 8 |
private participation | 8 |
vaccine candidates | 8 |
may play | 8 |
care resources | 8 |
highest levels | 8 |
collateral damage | 8 |
socioeconomic determinants | 8 |
advisory committee | 8 |
food aid | 8 |
symptom onset | 8 |
severe covid | 8 |
become part | 8 |
water treatment | 8 |
parasitic diseases | 8 |
using countries | 8 |
safety authority | 8 |
networks across | 8 |
health impacts | 8 |
child deaths | 8 |
daily confirmed | 8 |
also allows | 8 |
multinational enterprises | 8 |
immunodeficiency virus | 8 |
tobacco control | 8 |
across country | 8 |
water scarcity | 8 |
conjugate vaccine | 8 |
essential medicines | 8 |
series analysis | 8 |
short term | 8 |
technical advisory | 8 |
social development | 8 |
vaccination coverage | 8 |
absorb technology | 8 |
co emission | 8 |
regulatory framework | 8 |
unemployment claims | 8 |
epidemic dynamics | 8 |
infection dynamics | 8 |
manufacturing capacity | 8 |
honor killings | 8 |
larger number | 8 |
factors including | 8 |
social behavior | 8 |
influenza virus | 8 |
direct flights | 8 |
behind italy | 8 |
onset neonatal | 8 |
live attenuated | 8 |
care delivery | 8 |
global pandemics | 8 |
social medicine | 8 |
rational use | 8 |
north american | 8 |
governments must | 8 |
rapid growth | 8 |
many poor | 8 |
fight covid | 8 |
systems science | 8 |
level institutions | 8 |
new confirmed | 8 |
medical attention | 8 |
four different | 8 |
children younger | 8 |
interactive web | 8 |
different phases | 8 |
epidemiological studies | 8 |
source country | 8 |
may include | 8 |
healthy aging | 8 |
vaccine innovation | 8 |
next day | 8 |
supply side | 8 |
quarantine measures | 8 |
control systems | 8 |
large share | 8 |
next years | 8 |
different times | 8 |
global disease | 8 |
recovery rate | 8 |
cold chain | 8 |
pooled procurement | 8 |
regional health | 8 |
vaccine manufacturers | 8 |
human transmission | 8 |
i find | 8 |
quarantine rates | 8 |
scientific teams | 8 |
detailed analysis | 8 |
total cost | 8 |
job opportunities | 8 |
institutional characteristics | 8 |
pharmaceutical intervention | 8 |
financial markets | 8 |
vaccine research | 8 |
inadequate healthcare | 8 |
last days | 8 |
nations development | 8 |
either directly | 8 |
vector autoregressive | 8 |
past two | 7 |
many places | 7 |
first three | 7 |
healthcare facilities | 7 |
improved sanitation | 7 |
kerala state | 7 |
full lockdown | 7 |
significantly associated | 7 |
several studies | 7 |
ncov outbreak | 7 |
invaded countries | 7 |
ebola outbreak | 7 |
trauma process | 7 |
daily smoking | 7 |
th june | 7 |
authorized entities | 7 |
pandemic may | 7 |
people die | 7 |
also vary | 7 |
starting point | 7 |
greatest number | 7 |
set aside | 7 |
transmission scenarios | 7 |
protection response | 7 |
variables related | 7 |
issue compulsory | 7 |
preventive medicine | 7 |
serious harm | 7 |
capita gross | 7 |
national public | 7 |
swine flu | 7 |
cc license | 7 |
high numbers | 7 |
road initiative | 7 |
mathematical theory | 7 |
crisis will | 7 |
important impact | 7 |
sharp increase | 7 |
vice versa | 7 |
early days | 7 |
population age | 7 |
th may | 7 |
existing health | 7 |
case count | 7 |
social interactions | 7 |
social activities | 7 |
empirical results | 7 |
via campesina | 7 |
better results | 7 |
coverage rates | 7 |
government policies | 7 |
community participation | 7 |
model using | 7 |
geographical regions | 7 |
employed workers | 7 |
animal production | 7 |
corporate headquarters | 7 |
first group | 7 |
may help | 7 |
environmental change | 7 |
also likely | 7 |
infectious agent | 7 |
million additional | 7 |
transaction costs | 7 |
foreign affairs | 7 |
resource management | 7 |
financial times | 7 |
population dynamics | 7 |
data repository | 7 |
much smaller | 7 |
previous literature | 7 |
controlled trial | 7 |
different aspects | 7 |
neonatal bacterial | 7 |
power laws | 7 |
also consider | 7 |
new international | 7 |
per cow | 7 |
archetype analysis | 7 |
resource center | 7 |
patient care | 7 |
spatial distribution | 7 |
missing data | 7 |
industry sector | 7 |
joinpoint regression | 7 |
patent policies | 7 |
countries due | 7 |
mental disorders | 7 |
may relate | 7 |
diseases including | 7 |
fenugreek seeds | 7 |
many low | 7 |
main source | 7 |
additional information | 7 |
continuity plan | 7 |
working hours | 7 |
free market | 7 |
confirmed infections | 7 |
average number | 7 |
daily increment | 7 |
acquired infections | 7 |
tertiary prevention | 7 |
new technology | 7 |
small countries | 7 |
entities extracted | 7 |
globalized world | 7 |
happiness curve | 7 |
itt estimates | 7 |
transformed new | 7 |
local levels | 7 |
demographic features | 7 |
people suffering | 7 |
previous section | 7 |
global cooperation | 7 |
goes beyond | 7 |
increased transmission | 7 |
new data | 7 |
research conducted | 7 |
ordinary least | 7 |
effective containment | 7 |
even within | 7 |
new infectious | 7 |
integral component | 7 |
richer countries | 7 |
polio eradication | 7 |
gas emissions | 7 |
global coronavirus | 7 |
us dollars | 7 |
serious illness | 7 |
attract foreign | 7 |
armed forces | 7 |
migration consequences | 7 |
different institutional | 7 |
government measures | 7 |
reduce covid | 7 |
many reasons | 7 |
online survey | 7 |
irregular migrants | 7 |
aging population | 7 |
immunization program | 7 |
strict measures | 7 |
varying degrees | 7 |
social well | 7 |
everyday life | 7 |
world tourism | 7 |
je vaccine | 7 |
foreign workers | 7 |
large extent | 7 |
cumulative deaths | 7 |
similar pandemics | 7 |
public spaces | 7 |
within europe | 7 |
trade unions | 7 |
lost time | 7 |
economic theory | 7 |
one person | 7 |
go back | 7 |
high cost | 7 |
policy response | 7 |
found evidence | 7 |
weather conditions | 7 |
international labour | 7 |
desalinated water | 7 |
immunization rates | 7 |
compartmental model | 7 |
health goals | 7 |
current study | 7 |
global access | 7 |
million children | 7 |
missing values | 7 |
mathematical modelling | 7 |
big data | 7 |
global eradication | 7 |
values survey | 7 |
underground water | 7 |
logistic curve | 7 |
average milk | 7 |
domestic politics | 7 |
saha yap | 7 |
local livestock | 7 |
flight data | 7 |
significant difference | 7 |
two time | 7 |
public works | 7 |
helicobacter pylori | 7 |
spectral estimates | 7 |
significant correlation | 7 |
google trends | 7 |
banks headquartered | 7 |
deaths related | 7 |
cumulative distribution | 7 |
bacterial pathogens | 7 |
mobility restrictions | 7 |
reduce health | 7 |
different policy | 7 |
high temperature | 7 |
social inequalities | 7 |
productive activities | 7 |
arrival time | 7 |
worst hit | 7 |
emerging markets | 7 |
year period | 7 |
metapopulation model | 7 |
protection policies | 7 |
linear fit | 7 |
helminths eggs | 7 |
may involve | 7 |
research articles | 7 |
coronavirus infection | 7 |
population densities | 7 |
novel vaccines | 7 |
absolute number | 7 |
country analysis | 7 |
diaspora infrastructure | 7 |
earlier lockdowns | 7 |
possible future | 7 |
distribution function | 7 |
global human | 7 |
attitudes toward | 7 |
arab countries | 7 |
gdp growth | 7 |
domestic variables | 7 |
modern public | 7 |
key role | 7 |
untreated countries | 7 |
readily available | 7 |
clinical signs | 7 |
gastrointestinal diseases | 7 |
financing mechanisms | 7 |
lowincome countries | 7 |
flight capacity | 7 |
new treatments | 7 |
cardiovascular risk | 7 |
respiratory disease | 7 |
political support | 7 |
health situation | 7 |
second world | 7 |
effects regarding | 7 |
genetically modified | 7 |
th day | 7 |
will make | 7 |
health may | 7 |
research output | 7 |
developed ones | 7 |
matching order | 7 |
especially since | 7 |
total covid | 7 |
age squared | 7 |
level predictors | 7 |
policy interventions | 7 |
socioeconomic development | 7 |
time pcr | 7 |
risks associated | 7 |
hygienic practices | 7 |
essential services | 7 |
time courses | 7 |
mitigation measures | 7 |
collaboration links | 7 |
testing facilities | 7 |
parameter values | 7 |
potential domestic | 7 |
technology assessment | 7 |
highly connected | 7 |
analysis also | 7 |
outreach services | 7 |
government oversight | 7 |
based dashboard | 7 |
response will | 7 |
treatment period | 7 |
lockdown removal | 7 |
protective effect | 7 |
correlation matrix | 7 |
climatic conditions | 7 |
make sure | 7 |
arab world | 7 |
marrakesh treaty | 7 |
monitoring tool | 7 |
higher level | 7 |
positive patients | 7 |
basic reproduction | 7 |
emerging pollutants | 7 |
trm program | 7 |
influenza viruses | 7 |
south sudan | 7 |
industrial sector | 7 |
financial sector | 7 |
common cold | 7 |
various reasons | 7 |
significantly reduce | 7 |
european centre | 7 |
collective identity | 7 |
transmission scenario | 7 |
private debt | 7 |
security forces | 7 |
emission levels | 7 |
urgent need | 7 |
free trade | 7 |
smokers among | 7 |
little evidence | 7 |
vary widely | 7 |
like india | 7 |
collaboration among | 7 |
environmental disaster | 7 |
secondary prevention | 7 |
governing bodies | 7 |
critical exponents | 7 |
insurance programmes | 7 |
economic integration | 7 |
industrial countries | 7 |
economic benefits | 7 |
may reflect | 7 |
income settings | 7 |
social survey | 7 |
paris convention | 7 |
longer term | 7 |
young adults | 7 |
studies show | 7 |
signifi cant | 7 |
world values | 7 |
prevalence rates | 7 |
related research | 7 |
immunization schedule | 7 |
potable water | 7 |
global terrorism | 7 |
trade agreements | 7 |
international borders | 7 |
accessed august | 7 |
exponential function | 7 |
policy framework | 7 |
six countries | 7 |
new approaches | 7 |
economic hardship | 7 |
may impact | 7 |
local conditions | 7 |
treatment plant | 7 |
outbreak originating | 7 |
remote areas | 7 |
diaspora institutions | 7 |
working groups | 7 |
affected country | 7 |
major countries | 7 |
care unit | 7 |
leading causes | 7 |
trained personnel | 7 |
additional resources | 7 |
data availability | 7 |
two months | 7 |
indirect flight | 7 |
zoonotic disease | 7 |
nutritional requirements | 7 |
author pairs | 7 |
dairy cattle | 7 |
decreasing trend | 7 |
working population | 7 |
health literacy | 7 |
global community | 7 |
global immunization | 7 |
exponential fitting | 7 |
offi ce | 7 |
clinical characteristics | 7 |
testing capabilities | 7 |
last year | 7 |
worth mentioning | 7 |
bbc news | 7 |
social policy | 7 |
seiqr model | 7 |
tourism activity | 7 |
provinces territories | 7 |
security concept | 7 |
gm crops | 7 |
countries health | 7 |
state health | 7 |
allow us | 7 |
international support | 7 |
decreased transmission | 7 |
travel volume | 7 |
infection numbers | 7 |
fertility rates | 7 |
significant proportion | 7 |
cases worldwide | 7 |
three times | 7 |
similar way | 7 |
save lives | 7 |
challenges facing | 7 |
variables used | 7 |
health regulation | 7 |
aid policy | 7 |
transmitted diseases | 7 |
medical profession | 7 |
among adults | 7 |
importing countries | 7 |
breed populations | 7 |
better understanding | 7 |
real data | 7 |
community action | 7 |
awareness among | 7 |
estimated coefficients | 7 |
get worse | 7 |
economic terms | 7 |
fi res | 7 |
social policies | 7 |
long period | 7 |
locally transmitted | 7 |
dietary needs | 7 |
policy options | 7 |
comprehensive approach | 7 |
live births | 7 |
good news | 7 |
autoregressive model | 7 |
human body | 7 |
challenges faced | 7 |
antibiotic resistance | 7 |
covid pandemic | 7 |
humanitarian assistance | 7 |
wastewater reuse | 7 |
local food | 7 |
normal science | 7 |
technical support | 7 |
lgv outbreak | 7 |
labour force | 7 |
pneumonia research | 7 |
unemployment benefits | 7 |
reduce risk | 7 |
chinese authorities | 7 |
final manuscript | 7 |
track covid | 7 |
doctors per | 7 |
sanitation needs | 7 |
fecal coliforms | 7 |
highest risk | 7 |
excess deaths | 7 |
border measures | 7 |
domestic firms | 7 |
almost every | 7 |
directed toward | 7 |
disease study | 7 |
mortality risk | 7 |
like italy | 7 |
systems research | 7 |
see appendix | 7 |
diseases caused | 7 |
health minister | 7 |
lives lost | 7 |
healthcare demand | 7 |
four weeks | 6 |
chapters included | 6 |
infections per | 6 |
study aims | 6 |
timely manner | 6 |
effective control | 6 |
per area | 6 |
medical devices | 6 |
gcc region | 6 |
unrestricted vector | 6 |
different scenarios | 6 |
green bond | 6 |
see chap | 6 |
us national | 6 |
asia pacific | 6 |
google scholar | 6 |
numerical simulations | 6 |
interaction terms | 6 |
highly likely | 6 |
instrumental variables | 6 |
pubmed articles | 6 |
mandatory vaccination | 6 |
imported foods | 6 |
companies must | 6 |
next decade | 6 |
peak joinpoint | 6 |
poverty rate | 6 |
gastrointestinal infections | 6 |
detection probabilities | 6 |
best fit | 6 |
responses across | 6 |
supplementary table | 6 |
provide information | 6 |
rapid economic | 6 |
political leadership | 6 |
small island | 6 |
million pubmed | 6 |
travel data | 6 |
based interventions | 6 |
specific mortality | 6 |
displaced people | 6 |
will face | 6 |
extreme natural | 6 |
future generations | 6 |
see supplementary | 6 |
gvar model | 6 |
dublin regulation | 6 |
recent times | 6 |
emergency response | 6 |
lanouar goaied | 6 |
information technology | 6 |
method used | 6 |
market forces | 6 |
social conditions | 6 |
law fitting | 6 |
opening remarks | 6 |
african development | 6 |
interaction term | 6 |
spectral analysis | 6 |
raised blood | 6 |
advisory group | 6 |
economic success | 6 |
countries showed | 6 |
social body | 6 |
central america | 6 |
rel serv | 6 |
clostridium botulinum | 6 |
six months | 6 |
get infected | 6 |
coronary heart | 6 |
management strategies | 6 |
endemic diseases | 6 |
institutional arrangements | 6 |
research center | 6 |
factors contributing | 6 |
hit countries | 6 |
day lagged | 6 |
national patent | 6 |
health concern | 6 |
available online | 6 |
less important | 6 |
epidemic curves | 6 |
well documented | 6 |
cryptosporidium parvum | 6 |
higher values | 6 |