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 |
---|---|
mental health | 159 |
nipah virus | 132 |
public health | 102 |
avian influenza | 97 |
risk factors | 96 |
daily wage | 84 |
infectious diseases | 71 |
sleep disturbance | 70 |
confirmed cases | 64 |
backyard flocks | 63 |
world health | 62 |
backyard poultry | 62 |
granted medrxiv | 62 |
author funder | 62 |
copyright holder | 62 |
climate change | 61 |
version posted | 61 |
health organization | 58 |
health care | 57 |
date palm | 54 |
coronavirus disease | 54 |
united states | 52 |
surveillance hospital | 51 |
palm sap | 51 |
infectious disease | 50 |
sir model | 47 |
age group | 47 |
university students | 46 |
community transmission | 46 |
doc id | 45 |
cord uid | 45 |
social distancing | 45 |
blended learning | 45 |
fatal respiratory | 44 |
logistic regression | 42 |
respiratory disease | 42 |
made available | 41 |
acute respiratory | 40 |
healthcare system | 40 |
herd immunity | 38 |
virus infection | 38 |
disease cases | 38 |
international license | 38 |
household level | 37 |
severe neurological | 37 |
safe sap | 36 |
peer review | 36 |
respiratory syndrome | 35 |
depression literacy | 34 |
million people | 34 |
factors associated | 34 |
will increase | 34 |
surveillance system | 34 |
disease control | 32 |
highly pathogenic | 32 |
raw sap | 31 |
backyard birds | 31 |
macrobrachium rosenbergii | 31 |
least one | 31 |
rural areas | 31 |
family members | 30 |
total number | 30 |
niv infection | 30 |
secondary ili | 30 |
mean value | 29 |
statistically significant | 29 |
food expenditure | 29 |
medrxiv preprint | 29 |
severe acute | 29 |
strongly agreed | 28 |
data collection | 28 |
urban areas | 28 |
food security | 28 |
bat species | 28 |
partial lockdown | 28 |
based surveillance | 28 |
reproduction number | 28 |
novel coronavirus | 27 |
influenza virus | 27 |
west bengal | 27 |
towards covid | 26 |
wage earnings | 26 |
backyard farming | 25 |
neurological disease | 25 |
regression model | 25 |
poultry shops | 25 |
per day | 25 |
chadox niv | 25 |
income countries | 25 |
sap intervention | 25 |
systematic review | 24 |
fear scores | 24 |
pathogenic avian | 24 |
united nations | 24 |
enteric fever | 24 |
bangladesh date | 23 |
developing countries | 23 |
health services | 23 |
backyard chickens | 23 |
air pollution | 23 |
healthcare facilities | 22 |
new zealand | 22 |
viral rna | 22 |
people will | 22 |
sectional survey | 22 |
fruit bat | 22 |
public service | 22 |
global health | 22 |
disaster risk | 22 |
person transmission | 22 |
meteorological factors | 22 |
klebsiella pneumoniae | 21 |
syndrome coronavirus | 21 |
control measures | 21 |
sap area | 21 |
bird markets | 21 |
surveillance hospitals | 21 |
natural hazards | 21 |
emerging issues | 21 |
antimicrobial resistance | 21 |
present study | 21 |
human cases | 21 |
sectional study | 21 |
live bird | 20 |
infection control | 20 |
drinking water | 20 |
study found | 20 |
social media | 20 |
virus transmission | 20 |
niv malaysia | 20 |
knowledge scores | 20 |
diarrhoeic calves | 20 |
infectious virus | 20 |
fruit bats | 20 |
raw date | 20 |
live poultry | 20 |
infection cases | 20 |
risk factor | 20 |
regression analysis | 19 |
health workers | 19 |
focus group | 19 |
susceptible population | 19 |
posted april | 19 |
square test | 19 |
environmental contamination | 19 |
sample size | 19 |
previous studies | 19 |
medical waste | 19 |
respiratory pathogens | 19 |
linear regression | 18 |
posted june | 18 |
infection rate | 18 |
risk assessment | 18 |
relative humidity | 18 |
detection probabilities | 18 |
newcastle disease | 18 |
west africa | 18 |
vaccinated animals | 18 |
protective equipment | 18 |
healthcare workers | 18 |
lockdown period | 18 |
health literacy | 18 |
human infection | 18 |
asian countries | 18 |
based workers | 18 |
case patient | 17 |
personal protective | 17 |
early warning | 17 |
human transmission | 17 |
nonfarm sectors | 17 |
age groups | 17 |
case detection | 17 |
emerging infectious | 17 |
online learning | 17 |
rohingya refugees | 17 |
significant association | 17 |
study also | 17 |
regarding covid | 17 |
will help | 17 |
developed countries | 17 |
niv bangladesh | 17 |
infected people | 17 |
respiratory infections | 17 |
waste management | 16 |
daily household | 16 |
years old | 16 |
rainy season | 16 |
growth rate | 16 |
basic reproduction | 16 |
wage workers | 16 |
tertiary care | 16 |
economic loss | 16 |
direct contact | 16 |
one study | 16 |
hendra virus | 16 |
respiratory swabs | 16 |
higher education | 16 |
positively loaded | 16 |
among bangladeshi | 16 |
united kingdom | 15 |
case study | 15 |
tv public | 15 |
disease transmission | 15 |
care workers | 15 |
also found | 15 |
sleep quality | 15 |
vulnerability scores | 15 |
international centre | 15 |
mental disorders | 15 |
fatality rate | 15 |
descriptive statistics | 15 |
primary care | 15 |
health system | 15 |
health issues | 15 |
study reported | 15 |
control animals | 15 |
demographic variables | 15 |
freshwater prawn | 15 |
service announcement | 15 |
less likely | 15 |
biosecurity practices | 15 |
higher prevalence | 15 |
outbreak detection | 15 |
human health | 15 |
population density | 15 |
adult medicine | 15 |
bangladeshi population | 14 |
japanese encephalitis | 14 |
nucleic acid | 14 |
confirmed case | 14 |
higher knowledge | 14 |
backyard farmers | 14 |
also reported | 14 |
east asia | 14 |
intensive care | 14 |
early lockdown | 14 |
anxiety disorder | 14 |
disease research | 14 |
coping strategies | 14 |
political issues | 14 |
significant factors | 14 |
hong kong | 14 |
socioeconomic status | 14 |
significant differences | 14 |
another study | 14 |
poultry flocks | 14 |
virus disease | 14 |
lockdown scenario | 14 |
higher among | 14 |
human travel | 14 |
south asia | 14 |
case fatality | 14 |
informed consent | 14 |
health sector | 14 |
rural bangladesh | 14 |
case patients | 14 |
bangladesh will | 14 |
depressive symptoms | 13 |
subjects reported | 13 |
many countries | 13 |
chronic obstructive | 13 |
animals challenged | 13 |
mortality rate | 13 |
late lockdown | 13 |
community cases | 13 |
poverty line | 13 |
farm sector | 13 |
recent study | 13 |
immediate emerging | 13 |
among respondents | 13 |
household contacts | 13 |
secondary education | 13 |
infected population | 13 |
authors declare | 13 |
outbreak investigation | 13 |
infected cases | 13 |
face classes | 13 |
first covid | 13 |
daily basis | 13 |
densely populated | 13 |
positive association | 13 |
influenza viruses | 13 |
bangladesh due | 13 |
like bangladesh | 13 |
drinking raw | 13 |
increased risk | 13 |
among university | 13 |
sustainable development | 13 |
regression models | 13 |
diarrhoeal disease | 13 |
surface swabs | 12 |
high risk | 12 |
online survey | 12 |
staying home | 12 |
daily star | 12 |
level daily | 12 |
bcsir nilmrc | 12 |
climatic variables | 12 |
urban backyard | 12 |
total food | 12 |
highest number | 12 |
risk reduction | 12 |
implementation cost | 12 |
prevent nipah | 12 |
minimum support | 12 |
full lockdown | 12 |
current study | 12 |
healthcare seeking | 12 |
backyard chicken | 12 |
pilot study | 12 |
bhasan char | 12 |
pulmonary disease | 12 |
marburg virus | 12 |
hospital surfaces | 12 |
egg production | 12 |
meteorological variables | 12 |
mass mortalities | 12 |
reproduction numbers | 12 |
household compound | 12 |
disease outbreak | 12 |
surfaces near | 12 |
surveillance systems | 12 |
obstructive pulmonary | 12 |
per capita | 12 |
indoor air | 12 |
cohort study | 12 |
reported higher | 11 |
infected individuals | 11 |
mobile application | 11 |
poor people | 11 |
data analysis | 11 |
total population | 11 |
stress among | 11 |
giant freshwater | 11 |
posted september | 11 |
natural disasters | 11 |
family welfare | 11 |
socioeconomic issues | 11 |
getting infected | 11 |
daily total | 11 |
wild birds | 11 |
induced lockdown | 11 |
health problems | 11 |
health facilities | 11 |
sleeping disorder | 11 |
zoonotic viruses | 11 |
mental status | 11 |
depression among | 11 |
aegyptiacus bats | 11 |
group discussions | 11 |
virus outbreak | 11 |
syrian hamsters | 11 |
health advisory | 11 |
estimated daily | 11 |
respiratory illness | 11 |
rotavirus infection | 11 |
middle east | 11 |
poultry markets | 11 |
significant positive | 11 |
south asian | 11 |
african green | 11 |
anxiety among | 11 |
respondents strongly | 11 |
poultry production | 11 |
controlled trial | 11 |
world bank | 11 |
refugee camps | 11 |
nonfarm sector | 11 |
table shows | 11 |
significantly associated | 11 |
past year | 11 |
adaptive capacity | 11 |
weight loss | 11 |
dhaka tribune | 11 |
genome sequences | 11 |
flying foxes | 11 |
potential risk | 11 |
antibiotic resistance | 11 |
surveillance cases | 10 |
universal health | 10 |
medical students | 10 |
higher secondary | 10 |
severe patients | 10 |
demographic characteristics | 10 |
vulnerable groups | 10 |
learning approach | 10 |
amino acid | 10 |
reported one | 10 |
significant relationship | 10 |
warning messages | 10 |
vulnerability score | 10 |
level total | 10 |
high prevalence | 10 |
perceived risk | 10 |
polynomial regression | 10 |
testing facilities | 10 |
positive cases | 10 |
age stratification | 10 |
exponential growth | 10 |
related information | 10 |
five years | 10 |
medical college | 10 |
compound members | 10 |
family caregivers | 10 |
south korea | 10 |
healthcare utilization | 10 |
health systems | 10 |
development goals | 10 |
outbreak investigations | 10 |
level risk | 10 |
flock size | 10 |
respiratory infectious | 10 |
days ahead | 10 |
significantly higher | 10 |
vulnerability assessment | 10 |
phylogenetic analysis | 10 |
formal healthcare | 10 |
bangladeshi students | 10 |
formal education | 10 |
statistical analysis | 10 |
study conducted | 10 |
bangladeshi people | 10 |
government officials | 10 |
days post | 10 |
study area | 10 |
healthcare professionals | 10 |
education level | 10 |
fear score | 10 |
district dummies | 10 |
mortality cases | 10 |
infected patients | 10 |
care hospitals | 10 |
health coverage | 10 |
even though | 10 |
rate will | 10 |
disease outbreaks | 10 |
may also | 10 |
across bangladesh | 9 |
contact tracing | 9 |
developing country | 9 |
control strategies | 9 |
severe cases | 9 |
sore throat | 9 |
cluster analysis | 9 |
icu beds | 9 |
genomic sequences | 9 |
household members | 9 |
sequence alignment | 9 |
brain tissue | 9 |
rural backyard | 9 |
situation report | 9 |
economic burden | 9 |
absolute humidity | 9 |
new cases | 9 |
bed sheet | 9 |
bangladesh government | 9 |
gachhi training | 9 |
suspect cases | 9 |
environmental factors | 9 |
bangladesh covid | 9 |
respiratory secretions | 9 |
shared latrines | 9 |
detection probability | 9 |
like illness | 9 |
healthcare providers | 9 |
test positivity | 9 |
protein motifs | 9 |
competing interests | 9 |
significant difference | 9 |
among students | 9 |
movement will | 9 |
cost per | 9 |
lethal challenge | 9 |
online cross | 9 |
four groups | 9 |
symptoms reported | 9 |
educational level | 9 |
holding areas | 9 |
anxiety symptoms | 9 |
online classes | 9 |
catchment areas | 9 |
wage earning | 9 |
high levels | 9 |
several studies | 9 |
behavior change | 9 |
based study | 9 |
respondents reported | 9 |
poultry holding | 9 |
virus encephalitis | 9 |
suspected cases | 9 |
hand hygiene | 9 |
death rate | 9 |
niv outbreaks | 9 |
primary education | 9 |
written informed | 9 |
symptom onset | 9 |
knowledge score | 9 |
johns hopkins | 9 |
infected persons | 9 |
green monkeys | 9 |
single dose | 9 |
incubation period | 9 |
times higher | 9 |
dried food | 9 |
future studies | 9 |
escherichia coli | 9 |
machine learning | 9 |
biosecurity measures | 9 |
risk management | 9 |
social safety | 8 |
normal life | 8 |
moribund larvae | 8 |
average rainfall | 8 |
demographic factors | 8 |
healthcare systems | 8 |
based survey | 8 |
storing dried | 8 |
severe disease | 8 |
daily minimum | 8 |
bangladeshi hospitals | 8 |
among community | 8 |
without permission | 8 |
sensitive infectious | 8 |
sought care | 8 |
review committee | 8 |
bacterial nucleic | 8 |
people living | 8 |
many people | 8 |
km distance | 8 |
higher score | 8 |
disease surveillance | 8 |
dhaka division | 8 |
critical care | 8 |
stimulus package | 8 |
diarrheal disease | 8 |
detect outbreaks | 8 |
marital status | 8 |
confidence intervals | 8 |
randomly selected | 8 |
communicable diseases | 8 |
community members | 8 |
allowed without | 8 |
contaminated surfaces | 8 |
rf model | 8 |
rural communities | 8 |
food insecurity | 8 |
commercial poultry | 8 |
altered mental | 8 |
animals treated | 8 |
standard deviation | 8 |
rights reserved | 8 |
different countries | 8 |
socioeconomic group | 8 |
rest days | 8 |
ethical review | 8 |
sendai framework | 8 |
diurnal temperature | 8 |
nosocomial transmission | 8 |
study areas | 8 |
southeast asia | 8 |
reported staying | 8 |
maximum likelihood | 8 |
rousettus aegyptiacus | 8 |
random forest | 8 |
sporadic cases | 8 |
penaeus monodon | 8 |
th april | 8 |
private hospitals | 8 |
rohingya camps | 8 |
chikungunya virus | 8 |
subjects without | 8 |
disease risk | 8 |
infection rates | 8 |
preventive health | 8 |
increase due | 8 |
posted november | 8 |
east respiratory | 8 |
young adults | 8 |
cases reported | 8 |
among medical | 8 |
public servants | 8 |
virus infections | 8 |
binary logistic | 8 |
reported wearing | 8 |
wearing masks | 8 |
experienced depression | 8 |
new normal | 8 |
social distances | 8 |
health status | 8 |
coronavirus pandemic | 8 |
quarantine practice | 8 |
tests per | 8 |
existing partial | 8 |
bangladesh health | 8 |
reuse allowed | 8 |
hospital beds | 8 |
principal component | 8 |
per person | 8 |
poultry sector | 8 |
antibiotic use | 8 |
policy makers | 8 |
education levels | 8 |
global pandemic | 7 |
infected individual | 7 |
opinion leaders | 7 |
th march | 7 |
subunit vaccine | 7 |
least two | 7 |
ebola virus | 7 |
heart disease | 7 |
small virus | 7 |
lung tissue | 7 |
nonfarm households | 7 |
qualitative study | 7 |
positivity rate | 7 |
moderate positively | 7 |
mortality outcomes | 7 |
results show | 7 |
hospital wards | 7 |
antibiotic access | 7 |
heavy rainfall | 7 |
control group | 7 |
high quarantine | 7 |
test kits | 7 |
study period | 7 |
central laboratory | 7 |
niv prevention | 7 |
human outbreaks | 7 |
medicine wards | 7 |
pteropus vampyrus | 7 |
clinical spectrum | 7 |
mean age | 7 |
management practices | 7 |
issues gpi | 7 |
positive loading | 7 |
bacterial pathogens | 7 |
nan doi | 7 |
zoonotic transmission | 7 |
rakhine state | 7 |
probable case | 7 |
average number | 7 |
infection among | 7 |
rate per | 7 |
students living | 7 |
economic crisis | 7 |
previous study | 7 |
urban dwellers | 7 |
based households | 7 |
may help | 7 |
biomedical waste | 7 |
transmission potential | 7 |
home confinement | 7 |
total wage | 7 |
positive correlation | 7 |
health interventions | 7 |
cases identified | 7 |
case definition | 7 |
sird model | 7 |
antibiotic medicines | 7 |
change communication | 7 |
service announcements | 7 |
health crisis | 7 |
niv antibodies | 7 |
carlo simulation | 7 |
mortality events | 7 |
asia region | 7 |
family income | 7 |
extra small | 7 |
patients hospitalized | 7 |
spike protein | 7 |
graduate students | 7 |
primary data | 7 |
health emergency | 7 |
latrine use | 7 |
climatic factors | 7 |
different age | 7 |
european countries | 7 |
administrative units | 7 |
higher humidity | 7 |
increasing temperature | 7 |
study will | 7 |
quantitative data | 7 |
will also | 7 |
strict lockdown | 7 |
extreme poverty | 7 |
mathematical model | 7 |
demographic surveillance | 7 |
recommended health | 7 |
random sampling | 7 |
village pharmacies | 7 |
general population | 7 |
niv spillover | 7 |
study showed | 7 |
higher levels | 7 |
informal sector | 7 |
rohingya refugee | 7 |
focus groups | 7 |
based farm | 7 |
also detected | 7 |
bat migration | 7 |
multiple sequence | 7 |
investigation strategies | 7 |
african countries | 7 |
control methods | 7 |
dhaka city | 7 |
hopkins university | 7 |
environmental samples | 7 |
geographical distribution | 7 |
sleep disorders | 7 |
medical facilities | 7 |
daily food | 7 |
niv transmission | 7 |
pediatric wards | 7 |
vulnerable communities | 7 |
disease course | 7 |
human cytomegalovirus | 7 |
educational institutions | 7 |
saudi arabia | 7 |
abacus project | 7 |
laboratory diagnosis | 7 |
performed using | 7 |
vulnerability factors | 7 |
study findings | 7 |
complete lockdown | 7 |
mean temperature | 7 |
test results | 7 |
family member | 7 |
also showed | 7 |
closely related | 7 |
respiratory syncytial | 7 |
cases attending | 7 |
higher scores | 7 |
virus challenge | 7 |
additional file | 7 |
loss due | 7 |
mass gathering | 7 |
rna virus | 7 |
generalized anxiety | 7 |
neurological infectious | 7 |
disaster management | 7 |
daily confirmed | 7 |
risk perception | 7 |
binomial regression | 7 |
correct items | 7 |
early days | 7 |
questionnaire survey | 7 |
difficulty breathing | 7 |
cases occurred | 7 |
bangladesh reported | 6 |
among surveillance | 6 |
niv case | 6 |
copd guidelines | 6 |
confirmed covid | 6 |
like virus | 6 |
disease virus | 6 |
comparative analysis | 6 |
rna viruses | 6 |
positive samples | 6 |
fatality rates | 6 |
pteropid bats | 6 |
community health | 6 |
based cross | 6 |
predicted value | 6 |
young children | 6 |
hemorrhagic fever | 6 |
case definitions | 6 |
experimental study | 6 |
coding region | 6 |
remains constant | 6 |
selection pressure | 6 |
financial burden | 6 |
proposed expenditure | 6 |
neurological signs | 6 |
indirect contact | 6 |
severe food | 6 |
regular life | 6 |
among household | 6 |
severely affected | 6 |
observational study | 6 |
randomized controlled | 6 |
safety net | 6 |
also identified | 6 |
compound poisson | 6 |
default parameters | 6 |
detectable viral | 6 |
health doi | 6 |
may contribute | 6 |
independent variables | 6 |
european union | 6 |
policy implications | 6 |
six months | 6 |
bazar district | 6 |
commonly contaminated | 6 |
handwashing station | 6 |
four animals | 6 |
nationally representative | 6 |
movement restrictions | 6 |
per cent | 6 |
borne viruses | 6 |
virus isolates | 6 |
current covid | 6 |
survey conducted | 6 |
yellow head | 6 |
distances greater | 6 |
shed virus | 6 |
pandemic covid | 6 |
contracting covid | 6 |
economic issues | 6 |
female subjects | 6 |
basic products | 6 |
among children | 6 |
will enable | 6 |
production cycles | 6 |
strong positive | 6 |
important role | 6 |
literacy status | 6 |
infected poultry | 6 |
recovered cases | 6 |
passive transfer | 6 |
supplementary material | 6 |
median age | 6 |
taken daily | 6 |
corona virus | 6 |
nucleocapsid protein | 6 |
mental disturbances | 6 |
three groups | 6 |
rosenbergii nodavirus | 6 |
infection trajectory | 6 |
seven days | 6 |
clinical characteristics | 6 |
pearson correlation | 6 |
risk communication | 6 |
countries like | 6 |
salmonella spp | 6 |
confirmed niv | 6 |
qualitative data | 6 |
respiratory tract | 6 |
positive relationship | 6 |
becoming infected | 6 |
mass mortality | 6 |
sampled respondents | 6 |
strict social | 6 |
rapid rise | 6 |
control groups | 6 |
th day | 6 |
based violence | 6 |
rural area | 6 |
including bangladesh | 6 |
component analysis | 6 |
medicine ward | 6 |
interpersonal communication | 6 |
patients will | 6 |
study identified | 6 |
lockdown time | 6 |
care facilities | 6 |
per million | 6 |
attending surveillance | 6 |
pandemic potential | 6 |
sample collection | 6 |
hygiene practices | 6 |
new york | 6 |
economic activities | 6 |
social sciences | 6 |
college hospital | 6 |
previous experience | 6 |
level community | 6 |
post inoculation | 6 |
bat populations | 6 |
marburg hemorrhagic | 6 |
will depend | 6 |
staphylococcus aureus | 6 |
one pathogen | 6 |
tropical countries | 6 |
structured questionnaire | 6 |
haplotype network | 6 |
decision making | 6 |
health risk | 6 |
factors related | 6 |
reported cases | 6 |
long time | 6 |
sector employment | 6 |
health needs | 6 |
related deaths | 6 |
respiratory infection | 6 |
associated factors | 6 |
experiencing mortalities | 6 |
among females | 6 |
multivariable logistic | 6 |
enable low | 6 |
major risk | 6 |
southern bangladesh | 6 |
among people | 6 |
tail disease | 6 |
major role | 6 |
animal health | 6 |
publicly available | 6 |
literacy among | 6 |
ili case | 6 |
sierra leone | 6 |
shared latrine | 6 |
minimum food | 6 |
pandemic situation | 6 |
slaughtered poultry | 6 |
multipurpose towel | 6 |
prevention strategies | 6 |
global initiative | 6 |
bat guano | 6 |
daily covid | 6 |
naturally infected | 6 |
limited number | 6 |
initial susceptible | 6 |
bed rail | 6 |
three different | 6 |
correctly classified | 6 |
lockdown scenarios | 6 |
large number | 6 |
white tail | 6 |
care unit | 6 |
public perception | 6 |
issues related | 6 |
oropharyngeal swabs | 6 |
issues iei | 6 |
financial support | 6 |
weekly rest | 6 |
child mental | 6 |
retrospective cohort | 6 |
identified cases | 6 |
binomial logistic | 6 |
bangladesh nipah | 6 |
allowed us | 6 |
showed higher | 6 |
agricultural vulnerability | 6 |
global food | 6 |
coastal areas | 6 |
icu patients | 6 |
knowledge regarding | 6 |
childhood pneumonia | 6 |
frequently contaminated | 6 |
community surveys | 6 |
health service | 6 |
poultry shop | 6 |
review board | 6 |
coastal region | 6 |
full genome | 6 |
higher fear | 6 |
orf ab | 6 |
prawn macrobrachium | 6 |
eight divisions | 6 |
normal time | 6 |
doubling time | 6 |
phylogenetic tree | 6 |
spss statistics | 6 |
academic performance | 6 |
novel virus | 6 |
borne zoonotic | 6 |
thermo fisher | 6 |
law enforcement | 6 |
may vary | 6 |
will create | 6 |
hospitalized patients | 6 |
new coronavirus | 6 |
violence will | 6 |
supply chains | 5 |
local government | 5 |
lancet global | 5 |
financial insecurity | 5 |
social ecologic | 5 |
international health | 5 |
data set | 5 |
also grateful | 5 |
primary healthcare | 5 |
mass media | 5 |
phylogenetic analyses | 5 |
highest increase | 5 |
generalized linear | 5 |
funding agencies | 5 |
psychological distress | 5 |
daily wagebased | 5 |
tobacco smoke | 5 |
public hospitals | 5 |
among poultry | 5 |
remote areas | 5 |
clinical features | 5 |
strategic management | 5 |
testing kits | 5 |
negative impacts | 5 |
good health | 5 |
daily per | 5 |
hospital staff | 5 |
local tv | 5 |
mortality risk | 5 |
psychological effects | 5 |
suicide prevention | 5 |
different regions | 5 |
field team | 5 |
extreme weather | 5 |
informal business | 5 |
us per | 5 |
plos one | 5 |
longitudinal study | 5 |
emerging infections | 5 |
immunity threshold | 5 |
house surveys | 5 |
selection bias | 5 |
based household | 5 |
rest day | 5 |
severe symptoms | 5 |
pcr test | 5 |
anxiety disorders | 5 |
commonly detected | 5 |
income country | 5 |
contagious disease | 5 |
also revealed | 5 |
severe anxiety | 5 |
bangladesh since | 5 |
possible suicide | 5 |
rna structure | 5 |
significance level | 5 |
sequential bayesian | 5 |
practice assessment | 5 |
available online | 5 |
fear towards | 5 |
income loss | 5 |
countrywide lockdown | 5 |
confidence interval | 5 |
income settings | 5 |
urban area | 5 |
every day | 5 |
emergency response | 5 |
study suggests | 5 |
also observed | 5 |
influenza surveillance | 5 |
biosecurity strategies | 5 |
niv outbreak | 5 |
analysis showed | 5 |
molecular epidemiology | 5 |
minimum compensation | 5 |
health information | 5 |
female respondents | 5 |
virus outbreaks | 5 |
among participants | 5 |
positive impact | 5 |
moving average | 5 |
casual labor | 5 |
small administrative | 5 |
consent form | 5 |
coli isolates | 5 |
estimated coefficient | 5 |
large population | 5 |
poultry within | 5 |
susceptible individual | 5 |
hierarchical cluster | 5 |
humanitarian actors | 5 |
varying reproduction | 5 |
statistical package | 5 |
british columbia | 5 |
bushmeat trade | 5 |
major depression | 5 |
government hospitals | 5 |
polymerase chain | 5 |
two groups | 5 |
may act | 5 |
per bird | 5 |
sleep duration | 5 |
chain reaction | 5 |
south america | 5 |
transmission rate | 5 |
odds ratio | 5 |
slightly higher | 5 |
vulnerable populations | 5 |
th may | 5 |
million workers | 5 |
water source | 5 |
relationships among | 5 |
unemployment rate | 5 |
six diseases | 5 |
field staff | 5 |
posted august | 5 |
school students | 5 |
common symptoms | 5 |
mass vaccination | 5 |
written consent | 5 |
comparative lockdown | 5 |
bayesian ridge | 5 |
hand washing | 5 |
fragile healthcare | 5 |
highest weight | 5 |
bangladesh also | 5 |
relief support | 5 |
good knowledge | 5 |
time series | 5 |
water bodies | 5 |
virus isolation | 5 |
pathogen detected | 5 |
tobacco use | 5 |
reverse transcription | 5 |
unsold poultry | 5 |
two proportions | 5 |
local population | 5 |
without symptoms | 5 |
bat colonies | 5 |
maximum number | 5 |
reference sequence | 5 |
developed nations | 5 |
clinical management | 5 |
higher risk | 5 |
communication intervention | 5 |
findings may | 5 |
conducted among | 5 |
mathematical models | 5 |
among elderly | 5 |
high population | 5 |
ethics committee | 5 |
trial registration | 5 |
active cases | 5 |
seeking behavior | 5 |
institutional review | 5 |
groundwater quality | 5 |
wide range | 5 |
sized outbreaks | 5 |
psychological impact | 5 |
short period | 5 |
causative agent | 5 |
using spss | 5 |
also provided | 5 |
shop owners | 5 |
health problem | 5 |
nipah encephalitis | 5 |
model explained | 5 |
respiratory viruses | 5 |
use among | 5 |
cases will | 5 |
food production | 5 |
may lead | 5 |
european bat | 5 |
populated areas | 5 |
census data | 5 |
online discussion | 5 |
diarrheal diseases | 5 |
neutralizing antibodies | 5 |
last days | 5 |
study results | 5 |
level food | 5 |
human niv | 5 |
environmental crisis | 5 |
child health | 5 |
early detection | 5 |
streptococcus pneumoniae | 5 |
genome sequence | 5 |
patient care | 5 |
veroe cells | 5 |
three sub | 5 |
ili among | 5 |
community meetings | 5 |
monthly income | 5 |
large scale | 5 |
disease burden | 5 |
like symptoms | 5 |
viruses isolated | 5 |
epidemiological studies | 5 |
raw dps | 5 |
viral transmission | 5 |
sleeping schedule | 5 |
geographical range | 5 |
climate variability | 5 |
unit increase | 5 |
treatment seeking | 5 |
dependent variable | 5 |
six animals | 5 |
one case | 5 |
nutritional deficiency | 5 |
lowest socioeconomic | 5 |
blended approach | 5 |
business standard | 5 |
behaviour change | 5 |
epidemic models | 5 |
among different | 5 |
first case | 5 |
social distance | 5 |
much higher | 5 |
health response | 5 |
clinical symptoms | 5 |
swab samples | 5 |
simian adenovirus | 5 |
individuals aged | 5 |
suicide case | 5 |
physical health | 5 |
enduring emerging | 5 |
central africa | 5 |
wuhan city | 5 |
juvenile bats | 5 |
chicken flocks | 5 |
seasonal outbreaks | 5 |
rohingya literacy | 5 |
daily use | 5 |
tbs news | 5 |
study aimed | 5 |
system will | 5 |
transmission dynamics | 5 |
achieve herd | 5 |
lockdown situation | 5 |
garment industry | 5 |
ctt analysis | 5 |
existing healthcare | 5 |
response plan | 5 |
bacterial meningitis | 5 |
different parts | 5 |
partial protection | 5 |
several countries | 5 |
awareness programs | 5 |
environmental tobacco | 5 |
current situation | 5 |
contracting sars | 5 |
studies across | 5 |
ridge regression | 5 |
moving towards | 5 |
monte carlo | 5 |
marv infection | 5 |
medical education | 5 |
lower respiratory | 5 |
will start | 5 |
influenza transmission | 5 |
environmental specimens | 5 |
public awareness | 5 |
study estimates | 5 |
based costing | 5 |
different districts | 5 |
five cases | 5 |
healthcare provider | 5 |
healthcare services | 5 |
significant correlation | 5 |
till april | 5 |
accession number | 5 |
evaluating hospital | 5 |
social support | 5 |
higher depression | 5 |
one doi | 5 |
per year | 5 |
limited resources | 5 |
secondary cases | 5 |
sick birds | 5 |
prevalent symptoms | 5 |
serum samples | 5 |
rift valley | 5 |
strongly associated | 5 |
bangladeshi isolates | 5 |
actual number | 5 |
bird keepers | 5 |
critical patients | 5 |
near patients | 5 |
positive attitude | 5 |
data points | 5 |
estimated functions | 5 |
time period | 5 |
statistical significance | 5 |
influenza data | 5 |
results showed | 5 |
food insecure | 5 |
climatic conditions | 5 |
preventive measures | 5 |
nations office | 5 |
inverse relationship | 5 |
rise period | 5 |
google form | 5 |
strong positively | 5 |
test anxiety | 5 |
pandemic control | 5 |
bat cave | 5 |
indian subcontinent | 5 |
poor communities | 5 |
developing secondary | 5 |
infected bats | 5 |
daily cleaning | 5 |
zoonotic pathogens | 5 |
start moving | 5 |
higher number | 5 |
four people | 5 |
garment factories | 5 |
antibodies elicited | 5 |
country like | 5 |
information regarding | 5 |
spreading rapidly | 5 |
crop yield | 5 |
animal products | 5 |
early warnings | 4 |
vulnerable countries | 4 |
monsoon season | 4 |
frequently detected | 4 |
vectored vaccines | 4 |
multiple response | 4 |
whose parents | 4 |
learning module | 4 |
eu countries | 4 |
chadox gfp | 4 |
business day | 4 |
square tests | 4 |
bangladeshi citizens | 4 |
specific time | 4 |
viral load | 4 |
mixed confinement | 4 |
migration routes | 4 |
disease dynamics | 4 |
national drug | 4 |
one month | 4 |
recovery rate | 4 |
available data | 4 |
coping mechanisms | 4 |
health emergencies | 4 |
spot syndrome | 4 |
malaria transmission | 4 |
potential conflict | 4 |
international committee | 4 |
household factors | 4 |
novel pathogens | 4 |
native breeds | 4 |
cases per | 4 |
positive results | 4 |
maintaining social | 4 |
affects covid | 4 |
based questionnaire | 4 |
poisson generalized | 4 |
type i | 4 |
among males | 4 |
tested positive | 4 |
reproductive number | 4 |
commercial farms | 4 |
coronavirus cases | 4 |
protects african | 4 |
el nino | 4 |
influenza outbreaks | 4 |
agricultural organization | 4 |
see table | 4 |
hamsters developed | 4 |
lag days | 4 |
institutional affiliations | 4 |
practised high | 4 |
health workforce | 4 |
resource allocation | 4 |
international concern | 4 |
valley fever | 4 |
stranded rna | 4 |
final model | 4 |
travel history | 4 |
serum obtained | 4 |
studied diseases | 4 |
capital city | 4 |
will provide | 4 |
detected cases | 4 |
food consumption | 4 |
three days | 4 |
table presents | 4 |
may result | 4 |
dhaka urban | 4 |
family environment | 4 |
scenario analysis | 4 |
depth interviews | 4 |
also used | 4 |
affected countries | 4 |
data availability | 4 |
monthly family | 4 |
virus contamination | 4 |
pcr based | 4 |
daily dhakatribune | 4 |
wealth index | 4 |
subjects living | 4 |
social cognitive | 4 |
niv strains | 4 |
sap linked | 4 |
will lose | 4 |
utilization behavior | 4 |
eight percent | 4 |
urban location | 4 |
chronic kidney | 4 |
patients due | 4 |
south africa | 4 |
higher level | 4 |
weak positively | 4 |
economic factors | 4 |
baseline characteristics | 4 |
factor analysis | 4 |
ritual purification | 4 |
ongoing covid | 4 |
crucial role | 4 |
first study | 4 |
study sleep | 4 |
ngo staff | 4 |
fowlpox virus | 4 |
high seroprevalence | 4 |
niv antibody | 4 |
taste loss | 4 |
high fear | 4 |
patients diagnosed | 4 |
early stage | 4 |
public tertiary | 4 |
infections will | 4 |
public transportation | 4 |
directorate general | 4 |
affected districts | 4 |
late lockdowns | 4 |
sleep disturbances | 4 |
floor surfaces | 4 |
risks posed | 4 |
brand names | 4 |
might help | 4 |
health events | 4 |
economic conditions | 4 |
drug policy | 4 |
hubei province | 4 |
i pneumocytes | 4 |
also included | 4 |
tests conducted | 4 |
spiroplasma eriocheiris | 4 |
response rate | 4 |
foodborne transmission | 4 |
global warming | 4 |
strategic planning | 4 |
syrian hamster | 4 |
data available | 4 |
infected casepatients | 4 |
employed labor | 4 |
till date | 4 |
matlab hdss | 4 |
experimental larvae | 4 |
ili transmission | 4 |
bangladesh meteorological | 4 |
study suggest | 4 |
health regulations | 4 |
mean population | 4 |
larval mortalities | 4 |
niv cases | 4 |
health habits | 4 |
highest mean | 4 |
middleincome countries | 4 |
service delivery | 4 |
cfr adj | 4 |
nipah viruses | 4 |
knowledge towards | 4 |
case studies | 4 |
combat covid | 4 |
without proper | 4 |
probably due | 4 |
model based | 4 |
clinical development | 4 |
two months | 4 |
inadequate healthcare | 4 |
associations among | 4 |
community level | 4 |
reported human | 4 |
college students | 4 |
sense rna | 4 |
towards regular | 4 |
special emphasis | 4 |
bangladeshi community | 4 |
rural community | 4 |
importance degree | 4 |
head virus | 4 |
worth noting | 4 |
healthcare crisis | 4 |
individual behaviour | 4 |
selected areas | 4 |
highest percentage | 4 |
daily new | 4 |
sleep problems | 4 |
showed similar | 4 |
high commissioner | 4 |
nearly half | 4 |
structural proteins | 4 |
capita food | 4 |
acute lower | 4 |
disaster risks | 4 |
good governance | 4 |
female gender | 4 |
pteropus giganteus | 4 |
pcr screens | 4 |
first step | 4 |
found among | 4 |
real time | 4 |
syncytial virus | 4 |
post challenge | 4 |
health risks | 4 |
infections among | 4 |
complete genome | 4 |
secondary structure | 4 |
proper health | 4 |
poultry farming | 4 |
nationwide lockdown | 4 |
democratic republic | 4 |
library three | 4 |
surface contamination | 4 |
college station | 4 |
similar results | 4 |
health policy | 4 |
ili symptoms | 4 |
death toll | 4 |
death tolls | 4 |
child behavior | 4 |
survey date | 4 |
healthcare staff | 4 |
substance use | 4 |
jurisdictional claims | 4 |
humanitarian affairs | 4 |
coping mechanism | 4 |
total covid | 4 |
save lives | 4 |
reporting higher | 4 |
catchment area | 4 |
correlation analysis | 4 |
chikungunya outbreak | 4 |
will reduce | 4 |
febrile illness | 4 |
hpai infection | 4 |
ndv infection | 4 |
sampling method | 4 |
attitude towards | 4 |
media reports | 4 |
level characteristics | 4 |
urban slums | 4 |
coastal regions | 4 |
support package | 4 |
utilization data | 4 |
daily prothom | 4 |
community engagement | 4 |
inter sector | 4 |
char island | 4 |
sufficient sleep | 4 |
mortality outcome | 4 |
first week | 4 |
high humidity | 4 |
human respiratory | 4 |
kitchen scraps | 4 |
increases infectivity | 4 |
average age | 4 |
new birds | 4 |
pipistrellus nathusii | 4 |
nearby surfaces | 4 |
assessed using | 4 |
clinical manifestations | 4 |
strategic plan | 4 |
european bats | 4 |
specific grant | 4 |
social bonding | 4 |
time reverse | 4 |
unique mutations | 4 |
will suffer | 4 |
three times | 4 |
total variance | 4 |
natural hazard | 4 |
one day | 4 |
issues sei | 4 |
genome analysis | 4 |
dependent rna | 4 |
first draft | 4 |
tract infection | 4 |
might increase | 4 |
thematic analysis | 4 |
online database | 4 |
lower middle | 4 |
microbial infection | 4 |
among first | 4 |
losing jobs | 4 |
sap contamination | 4 |
poultry farmers | 4 |
daily mortality | 4 |
eu mss | 4 |
nipah transmission | 4 |
infected today | 4 |
respondents agreed | 4 |
physical contact | 4 |
metropolitan area | 4 |
patients positive | 4 |
general public | 4 |
geographical areas | 4 |
springer nature | 4 |
assessment questionnaire | 4 |
participants provided | 4 |
elderly people | 4 |
slope changes | 4 |
gr clade | 4 |
mean depression | 4 |
average humidity | 4 |
crowded place | 4 |
spillover events | 4 |
well established | 4 |
disease challenge | 4 |
study protocol | 4 |
new approach | 4 |
zoonotic diseases | 4 |
study participants | 4 |
henipavirus infection | 4 |
foxes nipah | 4 |
usd piece | 4 |
poverty rate | 4 |
modeling approach | 4 |
aiv contamination | 4 |
average flock | 4 |
reported chronic | 4 |
country will | 4 |
coli isolated | 4 |
principal components | 4 |
aiv transmission | 4 |
average daily | 4 |
weather events | 4 |
susceptible persons | 4 |
disinfection practices | 4 |
rosenbergii golda | 4 |
egyptian fruit | 4 |
likert scale | 4 |
containment measures | 4 |
risk scores | 4 |
infection outbreak | 4 |
niv infected | 4 |
associated virus | 4 |
management will | 4 |
seasonal pattern | 4 |
nearly every | 4 |
health resources | 4 |
research study | 4 |
daily support | 4 |
movement restriction | 4 |
family medicine | 4 |
travel bans | 4 |
social interaction | 4 |
using machine | 4 |
modelling study | 4 |
become infected | 4 |
since april | 4 |
series analysis | 4 |
adequate knowledge | 4 |
factors affecting | 4 |
electronic media | 4 |
complete protection | 4 |
employment status | 4 |
major cause | 4 |
new onset | 4 |
daily wages | 4 |
study attempts | 4 |
restricted movement | 4 |
syndromic surveillance | 4 |
mm increase | 4 |
bangladeshi sars | 4 |
current pandemic | 4 |
breathing difficulty | 4 |
bangladesh bcsir | 4 |
suicidal behavior | 4 |
fear scale | 4 |
home quarantine | 4 |
effective reproduction | 4 |
general practitioners | 4 |
take proper | 4 |
traditional approach | 4 |
child whose | 4 |
psychological health | 4 |
deaths due | 4 |
course trainers | 4 |
disease prevention | 4 |
also significantly | 4 |
increase slowly | 4 |
studies done | 4 |
profit sectors | 4 |
african fruit | 4 |
please specify | 4 |
study staff | 4 |
rural people | 4 |
lockdown periods | 4 |
financial express | 4 |
health surveillance | 4 |
ecologic theory | 4 |
antigen test | 4 |
found higher | 4 |
care hospital | 4 |
females regarding | 4 |
positive attitudes | 4 |
bangladesh may | 4 |
income people | 4 |
related programs | 4 |
disease incidence | 4 |
cost analysis | 4 |
cases aged | 4 |
bangladesh bangladesh | 4 |
virus isolated | 4 |
infection numbers | 4 |
average monthly | 4 |
death cases | 4 |
emergency relief | 4 |
different clades | 4 |
white spot | 4 |
extended spectrum | 4 |
will likely | 4 |
may increase | 4 |
village calves | 4 |
epidemic curve | 4 |
wage earners | 4 |
infection due | 4 |
takes place | 4 |
gender differences | 4 |
situation analysis | 4 |
bare hands | 4 |
serious risk | 4 |
three coastal | 4 |
illegal importation | 4 |
negative association | 4 |
health threats | 4 |
nature remains | 4 |
infected person | 4 |
literature review | 4 |
sector coordination | 4 |
point mutations | 4 |
collection team | 4 |
global level | 4 |
research efforts | 4 |
low quarantine | 4 |
also reared | 4 |
antibody antigen | 4 |
cases may | 4 |
study suggested | 4 |
achieving uhc | 4 |
admit patients | 4 |
triple burden | 4 |
nonfarm workers | 4 |
service sector | 4 |
life stages | 4 |
secondary influenza | 4 |
smoking habits | 4 |
pandemic influenza | 4 |
unrestricted support | 4 |
high school | 4 |
pneumonia cases | 4 |
travel restrictions | 4 |
studied backyard | 4 |
study physicians | 4 |
virus genomes | 4 |
study design | 4 |
medical care | 4 |
coordination group | 4 |
travel time | 4 |
shifting risks | 4 |
people affected | 4 |
slt use | 4 |
sampled daily | 4 |
sap consumption | 4 |
among patients | 4 |
internet use | 4 |
included questions | 4 |
case counts | 4 |
social stigma | 4 |
chikungunya fever | 4 |
emergency responders | 4 |
studies conducted | 4 |
older adults | 4 |
disease caused | 4 |
bangladesh using | 4 |
two public | 4 |
early outbreak | 4 |
poultry together | 4 |
prothom alo | 4 |
similar findings | 4 |
rna sequences | 4 |
significant number | 4 |
mental healthcare | 4 |
longer duration | 4 |
two different | 4 |
critical covid | 4 |
blood samples | 4 |
core unrestricted | 4 |
care system | 4 |
significant impact | 4 |
negative shops | 4 |
small numbers | 4 |
mean relative | 4 |
learning centres | 4 |
outbreaks defined | 4 |
people infected | 4 |
low level | 4 |
cases till | 4 |
healthcare settings | 4 |
food expenditures | 4 |
potential routes | 4 |
transmission within | 4 |
lethal disease | 4 |
experimental results | 4 |
learning approaches | 4 |
pulmonary lesions | 4 |
rna polymerase | 4 |
domestic poultry | 4 |
achieve uhc | 4 |
common among | 4 |
awareness among | 4 |
tcid ml | 4 |
resolved phylogenetic | 4 |
labor force | 4 |
practice regarding | 4 |
external funding | 4 |
second largest | 4 |
future intervention | 4 |
respondents aged | 4 |
three hatcheries | 4 |
public policy | 4 |
golda virus | 4 |
psychological problems | 4 |
cumulative number | 4 |
also known | 4 |
human rights | 4 |
internet addiction | 4 |
different social | 4 |
health related | 4 |
published maps | 4 |
gender discrimination | 4 |
senior citizens | 4 |
dataset consisted | 4 |
poor settings | 4 |
uneven floor | 4 |
training program | 4 |
dis doi | 4 |
health disturbances | 4 |
vaccine provides | 4 |
monoclonal antibody | 4 |
study aims | 4 |
remains neutral | 4 |
much lower | 4 |
corrected item | 4 |
ge healthcare | 4 |
bangladeshi university | 4 |
kidney disease | 4 |
epidemiological model | 4 |
drug resistance | 4 |
health crises | 4 |
weak governance | 4 |
similar studies | 4 |
hospital attendance | 4 |
within days | 4 |
large proportion | 4 |
also influence | 4 |
findings will | 4 |
experiencing mass | 4 |
developing sleep | 4 |
study variables | 4 |
correlation coefficient | 4 |
informal workers | 4 |
south east | 4 |
respondent i | 4 |
selected communities | 4 |
particulate matter | 4 |
corresponding author | 4 |
natural log | 4 |
based assessment | 4 |
vulnerable population | 4 |
estimated values | 4 |
sixty percent | 4 |
poor governance | 4 |
lockdown related | 4 |
randomised controlled | 4 |
confidence level | 4 |
public transport | 4 |
confirmed respiratory | 4 |
research assistants | 4 |
deep analysis | 4 |
survey without | 3 |
items among | 3 |
genetic characterization | 3 |
healthy appearing | 3 |
illegal imports | 3 |
surveillance detected | 3 |
survey indicate | 3 |
bangladesh data | 3 |
patients infected | 3 |
may disrupt | 3 |
viral replication | 3 |
viral genomes | 3 |
attending fever | 3 |
economic impact | 3 |
limited people | 3 |
eastern shewa | 3 |
different risk | 3 |
behavior among | 3 |
tropical medicine | 3 |
precautionary measures | 3 |
study indicates | 3 |
high correlation | 3 |
human exposure | 3 |
routine cleaning | 3 |
small number | 3 |
paediatric patients | 3 |
bovine serum | 3 |
community acquired | 3 |
tobacco smoking | 3 |
virus assembly | 3 |
asked whether | 3 |
recent report | 3 |
intervention strategies | 3 |
revised child | 3 |
controlling factors | 3 |
business sector | 3 |
may play | 3 |
poultry storage | 3 |
monthly cleaning | 3 |
hospital archive | 3 |
without covid | 3 |
long distances | 3 |
learning materials | 3 |
taking online | 3 |
access article | 3 |
susceptible household | 3 |
low corrected | 3 |
health complexes | 3 |
bangladesh bureau | 3 |
poultry overnight | 3 |
effective interventions | 3 |
higher rate | 3 |
environmental hazards | 3 |
green monkey | 3 |
research ethics | 3 |
higher income | 3 |
genetic analysis | 3 |
meteorological department | 3 |
labor allocation | 3 |
operating characteristic | 3 |
detect emerging | 3 |
epidemic outbreak | 3 |
rr adj | 3 |
implemented various | 3 |
risk mitigation | 3 |
total deaths | 3 |
different sized | 3 |
lethal nipah | 3 |
among persons | 3 |
random variables | 3 |
purified using | 3 |
educational attainment | 3 |
agroclimatic zone | 3 |
drank raw | 3 |
disaster vulnerability | 3 |
production level | 3 |
hospital infection | 3 |
wide lockdown | 3 |
financial loss | 3 |
countries implemented | 3 |
surveillance infrastructure | 3 |
young adult | 3 |
disorder scores | 3 |
imposed varying | 3 |
smoking occurred | 3 |
mostly located | 3 |
north island | 3 |
internal organs | 3 |
testing facility | 3 |
total score | 3 |
online questionnaire | 3 |
ready cash | 3 |
correlation coefficients | 3 |
pig farms | 3 |
team visited | 3 |
cases across | 3 |
coronavirus patients | 3 |
first author | 3 |
severe disturbances | 3 |
annotated using | 3 |
corresponding surface | 3 |
three scenarios | 3 |
item ranged | 3 |
social structures | 3 |
health behaviors | 3 |
high density | 3 |
completed using | 3 |
within hours | 3 |
cured patients | 3 |
ensuring transparency | 3 |
bangladesh announced | 3 |
refugee crisis | 3 |
statistical analyses | 3 |
principal investigator | 3 |
possible case | 3 |
previously reported | 3 |
pharmaceutical interventions | 3 |
highest contributing | 3 |
official psychological | 3 |
monsoon rains | 3 |
adverse outcomes | 3 |
one million | 3 |
one health | 3 |
suicide risk | 3 |
family poultry | 3 |
randomized trees | 3 |
biomass fuels | 3 |
opening remarks | 3 |
quality control | 3 |
medical attention | 3 |
different sources | 3 |
initial stage | 3 |
data quality | 3 |
low humidity | 3 |
one third | 3 |
seek healthcare | 3 |
severe pneumonia | 3 |
household income | 3 |
financial relationships | 3 |
lit scores | 3 |
response analyses | 3 |
online training | 3 |
younger age | 3 |
zhejiang province | 3 |
significantly lower | 3 |
following eq | 3 |
fisher scientific | 3 |
ethical permission | 3 |
dairy calves | 3 |
internet users | 3 |
gfp antibodies | 3 |
healthcare need | 3 |
moderately loaded | 3 |
rangpur division | 3 |
traditional medicine | 3 |
article distributed | 3 |
might also | 3 |
univariate analysis | 3 |
health insurance | 3 |
nations high | 3 |
structural violence | 3 |
first year | 3 |
training cost | 3 |
high possibility | 3 |
individual level | 3 |
epidemic will | 3 |
avoid relocation | 3 |
various methods | 3 |
external reference | 3 |
meningoencephalitis syndrome | 3 |
increased facilities | 3 |
business centres | 3 |
knowledge level | 3 |
chimpanzee adenovirus | 3 |
black fly | 3 |
health expenditure | 3 |
academic activities | 3 |
larger response | 3 |
organization world | 3 |
training component | 3 |
representative sequences | 3 |
obtained prospectively | 3 |
hampered severely | 3 |
pathogens via | 3 |
indigenous methods | 3 |
survey questionnaire | 3 |
equation modeling | 3 |
earlier studies | 3 |
humanitarian needs | 3 |
poor households | 3 |
large numbers | 3 |
palm trees | 3 |
selected shops | 3 |
virus vaccines | 3 |
score calculation | 3 |
second survey | 3 |
results indicated | 3 |
challenge medium | 3 |
total cases | 3 |
safety nets | 3 |
hpai outbreaks | 3 |
different methods | 3 |
rate among | 3 |
possible scenarios | 3 |
management scenario | 3 |
responsive research | 3 |
study looking | 3 |
surfaces may | 3 |
species within | 3 |
virus titer | 3 |
required number | 3 |
people experiencing | 3 |
barishal division | 3 |
intervention component | 3 |
demographic information | 3 |
cultural perspective | 3 |
supportive treatment | 3 |
key symptoms | 3 |
paediatric medicine | 3 |
use tdks | 3 |
zoonotic infections | 3 |
urinary tract | 3 |
huge population | 3 |
reliable information | 3 |
improve infection | 3 |
health practices | 3 |
metapopulation dynamics | 3 |
six infectious | 3 |
biosecurity awareness | 3 |
residue similarity | 3 |
diabetes mellitus | 3 |
patient health | 3 |
issues mhi | 3 |
endemic districts | 3 |
homologous challenge | 3 |
patients attending | 3 |
meningitis epidemics | 3 |
tobacco consumption | 3 |
black dotted | 3 |
hairpin loop | 3 |
division dummies | 3 |
will rise | 3 |
male participants | 3 |
health professionals | 3 |
interpreting early | 3 |
altered sensation | 3 |
shared sanitation | 3 |
providing core | 3 |
less supply | 3 |
variables influencing | 3 |
extreme fear | 3 |
pandemic due | 3 |
practices towards | 3 |
work together | 3 |
iucn red | 3 |
national governments | 3 |
testing rate | 3 |
safer shelter | 3 |
farmers also | 3 |
activities will | 3 |
infected birds | 3 |
building resilience | 3 |
community nipah | 3 |
pilot survey | 3 |
poultry species | 3 |
level factors | 3 |
amino acids | 3 |
paper aims | 3 |
intraperitoneal inoculation | 3 |
alcoholic beverages | 3 |
new viruses | 3 |
associated mortality | 3 |
bats may | 3 |
shewa zone | 3 |
based vaccine | 3 |
waste disposal | 3 |
saharan africa | 3 |
slaughtering poultry | 3 |
pteropus bats | 3 |
qualitative focus | 3 |
family caregiver | 3 |
current slt | 3 |
literate rohingya | 3 |
study years | 3 |
positive case | 3 |
nsp protein | 3 |
previous history | 3 |
commodity chain | 3 |
interactive tree | 3 |
item correlation | 3 |
sap collection | 3 |
representative survey | 3 |
test theory | 3 |
global public | 3 |
hemorrhagic syndrome | 3 |
younger juveniles | 3 |
health intervention | 3 |
vital factor | 3 |
latrines may | 3 |
reducing environmental | 3 |
kutupalong camp | 3 |
significantly less | 3 |
equal number | 3 |
around million | 3 |
rapid assessment | 3 |
appearing poultry | 3 |
triggered landslides | 3 |
tissue sections | 3 |
sector will | 3 |
novel approach | 3 |
handwashing intervention | 3 |
mitigate risks | 3 |
indian population | 3 |
significant level | 3 |
investigation team | 3 |
sustainable way | 3 |
migrant workers | 3 |
sleep disorder | 3 |
grade water | 3 |
coronavirus covid | 3 |
study among | 3 |
source case | 3 |
temperature variation | 3 |
may provide | 3 |
wet markets | 3 |
health order | 3 |
asymptomatic cases | 3 |
using real | 3 |
collected surface | 3 |
farming systems | 3 |
lit score | 3 |
also asked | 3 |
million individuals | 3 |
sought treatment | 3 |
protected syrian | 3 |
will affect | 3 |
hospital settings | 3 |
widely used | 3 |
unvaccinated backyard | 3 |
laboratory testing | 3 |
marv areas | 3 |
small outbreaks | 3 |
positive predicted | 3 |
detected case | 3 |
recurrent zoonotic | 3 |
study examined | 3 |
carlo method | 3 |
statistically pose | 3 |
massive movement | 3 |
smokeless tobacco | 3 |
international primary | 3 |
geometric mean | 3 |
sri lanka | 3 |
emergency services | 3 |
increased testing | 3 |
developed pulmonary | 3 |
malaysian strain | 3 |
like covid | 3 |
factors using | 3 |
rohingya children | 3 |
experimental challenge | 3 |
comprised statements | 3 |
isolation rate | 3 |
healthcare expenditure | 3 |
five different | 3 |
industrial sectors | 3 |
economic status | 3 |
participants responded | 3 |
long term | 3 |
tv channels | 3 |
coordination among | 3 |
risk areas | 3 |
reservoir hosts | 3 |
air quality | 3 |
epidemic model | 3 |
commercial trade | 3 |
income generation | 3 |
cell survival | 3 |
traditional learning | 3 |
conducting research | 3 |
single disease | 3 |
disease types | 3 |
lit scale | 3 |
internal consistency | 3 |
coding regions | 3 |
concerns regarding | 3 |
bat bushmeat | 3 |
products will | 3 |
social communication | 3 |
positive covid | 3 |
environmental impact | 3 |
important lessons | 3 |
fatty liver | 3 |
long distance | 3 |
challenges regarding | 3 |
international labor | 3 |
tobacco control | 3 |
management strategies | 3 |
human behavior | 3 |
analysis revealed | 3 |
primary trial | 3 |
drug resistant | 3 |
animals showed | 3 |
will face | 3 |
lethal dose | 3 |
day post | 3 |
virus spillover | 3 |
collected via | 3 |
rapid antibody | 3 |
host cell | 3 |
specific case | 3 |
ethical clearance | 3 |
informal providers | 3 |
seeking behaviour | 3 |
model performance | 3 |
two percent | 3 |
class i | 3 |
avian species | 3 |
infected yesterday | 3 |
prevalence rate | 3 |
private latrines | 3 |
refugee camp | 3 |
elderly persons | 3 |
health facility | 3 |
wider community | 3 |
provided informed | 3 |
north america | 3 |
population age | 3 |
mean mdd | 3 |
electron microscopy | 3 |
management facilities | 3 |
reduce depression | 3 |
integral part | 3 |
one child | 3 |
transport workers | 3 |
lab tests | 3 |
infection case | 3 |
food supply | 3 |
school closures | 3 |
effective support | 3 |
thirteen districts | 3 |
abu reza | 3 |
since case | 3 |
survey study | 3 |
possible causes | 3 |
increased significantly | 3 |
many patients | 3 |
short term | 3 |
healthcare sector | 3 |
epidemic outbreaks | 3 |
minimum daily | 3 |
using banas | 3 |
marburg viruses | 3 |
lockdown continues | 3 |
variables showed | 3 |
respiratory group | 3 |
genetic diversity | 3 |
using census | 3 |
bushmeat hunters | 3 |
low detection | 3 |
member states | 3 |
proper information | 3 |
using two | 3 |
listeria monocytogenes | 3 |
health economics | 3 |
awareness raising | 3 |
overnight poultry | 3 |
estimating eq | 3 |
food sources | 3 |
virus among | 3 |
healthy adults | 3 |
degree holders | 3 |
communication channel | 3 |
literacy level | 3 |
twelve months | 3 |
compensation package | 3 |
household transmission | 3 |
surveillance physicians | 3 |
existing literature | 3 |
island red | 3 |
poultry rearing | 3 |
viral aetiology | 3 |
resistance genes | 3 |
similar responses | 3 |
effective approaches | 3 |
bangladesh piloting | 3 |
described elsewhere | 3 |
market price | 3 |
countries may | 3 |
viral encephalitis | 3 |
one trainer | 3 |
negative correlation | 3 |
fear compared | 3 |
nearly two | 3 |
outbreak size | 3 |
health education | 3 |
continuing medical | 3 |
different groups | 3 |
using bangladesh | 3 |
social conflict | 3 |
adjusted coefficients | 3 |
like many | 3 |
various parameters | 3 |
boiled water | 3 |
significant risk | 3 |
three cases | 3 |
data deficiency | 3 |
infectious agents | 3 |
also prevalent | 3 |
net programs | 3 |
dense population | 3 |
way forward | 3 |
first detected | 3 |
animal care | 3 |
literacy scores | 3 |
henipavirus antibodies | 3 |
sir epidemic | 3 |
incidents impacted | 3 |
million population | 3 |
reza md | 3 |
scores among | 3 |
yield vulnerability | 3 |
seasonal influenza | 3 |
safer shelters | 3 |
graduate training | 3 |
national guidelines | 3 |
affix posters | 3 |
social science | 3 |
studies suggest | 3 |
relevant data | 3 |
sensitivity analyses | 3 |
faecal samples | 3 |
risks associated | 3 |
educated people | 3 |
cooperative agreement | 3 |
increase awareness | 3 |
clearly visible | 3 |
poultry exposure | 3 |
groups using | 3 |
suicide due | 3 |
armed forces | 3 |
also shown | 3 |
regarding sleep | 3 |
particularly vulnerable | 3 |
prediction results | 3 |
psychological illness | 3 |
bangladesh compared | 3 |
online modules | 3 |
physical barriers | 3 |
fast track | 3 |
increased knowledge | 3 |
urban settings | 3 |
several days | 3 |
village poultry | 3 |
practices around | 3 |
reported adherence | 3 |
first identified | 3 |
animal species | 3 |
influenza incidence | 3 |
located upstream | 3 |
pr outbreak | 3 |
almost million | 3 |
selected participants | 3 |
vaccine protects | 3 |
dependent variables | 3 |
effective management | 3 |
bank data | 3 |
information criterion | 3 |
amid covid | 3 |
clinical presentation | 3 |
mathematical modeling | 3 |
wind speed | 3 |
possible transmission | 3 |
confirmed human | 3 |
increased malaria | 3 |
proven risk | 3 |
treatment options | 3 |
virus vaccine | 3 |
response rates | 3 |
blood specimen | 3 |
poverty due | 3 |
also provides | 3 |
global gdp | 3 |
health disorders | 3 |
case mark | 3 |
behind others | 3 |
cases occurring | 3 |
bats coincide | 3 |
media briefing | 3 |
public sector | 3 |
hospital using | 3 |
negative predicted | 3 |
basic healthcare | 3 |
related viruses | 3 |
predicted cases | 3 |
drinking sap | 3 |
pathological changes | 3 |
meningoencephalitis patients | 3 |
associated hospitalizations | 3 |
questionnaire surveying | 3 |
learning platform | 3 |
specimen collection | 3 |
infect dis | 3 |
faridpur district | 3 |
strong association | 3 |
one surface | 3 |
care respiratory | 3 |
case fatalities | 3 |
virus introduction | 3 |
household questionnaire | 3 |
highly significant | 3 |
question used | 3 |
hev infection | 3 |
moderate positive | 3 |
developed economies | 3 |
highest deaths | 3 |
major source | 3 |
natural reservoir | 3 |
swabs collected | 3 |
pox virus | 3 |
data repository | 3 |
purposive sampling | 3 |
eu bat | 3 |
infection may | 3 |
genomic variations | 3 |
longer period | 3 |
pharmacy salespersons | 3 |
syndrome virus | 3 |
final size | 3 |
china also | 3 |
matched odds | 3 |
findings highlight | 3 |
poultry products | 3 |
health experts | 3 |
emotion regulation | 3 |
among others | 3 |
health concern | 3 |
statistical models | 3 |
among adults | 3 |
calf diarrhea | 3 |
surface cleaning | 3 |
total healthcare | 3 |
five variables | 3 |
human resources | 3 |