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 | 622 |
infection control | 420 |
intensive care | 400 |
health care | 372 |
care unit | 322 |
ebola virus | 308 |
united states | 248 |
infectious disease | 234 |
infectious diseases | 232 |
neonatal intensive | 217 |
disease outbreaks | 214 |
control measures | 202 |
respiratory syndrome | 201 |
acute respiratory | 201 |
staphylococcus aureus | 166 |
hand hygiene | 157 |
pandemic influenza | 153 |
severe acute | 151 |
risk factors | 150 |
novel coronavirus | 137 |
food safety | 129 |
virus disease | 117 |
resistant staphylococcus | 112 |
disease outbreak | 109 |
escherichia coli | 107 |
care facilities | 107 |
nosocomial infections | 105 |
disease control | 105 |
social distancing | 96 |
outbreak size | 96 |
world health | 95 |
incubation period | 95 |
infectious agents | 93 |
west africa | 92 |
term care | 90 |
healthcare workers | 89 |
nosocomial infection | 88 |
health organization | 87 |
care settings | 86 |
confirmed cases | 86 |
cord uid | 85 |
doc id | 85 |
cruise ships | 85 |
virus infection | 80 |
sars outbreak | 78 |
respiratory syncytial | 77 |
cruise ship | 76 |
surveillance system | 76 |
control holiday | 75 |
middle east | 75 |
yellow fever | 74 |
syncytial virus | 74 |
ebola outbreak | 74 |
influenza virus | 74 |
copyright holder | 73 |
author funder | 73 |
birth weight | 73 |
granted medrxiv | 73 |
control practices | 72 |
standard precautions | 71 |
care units | 70 |
syndrome coronavirus | 70 |
hemorrhagic fever | 69 |
care facility | 69 |
respiratory disease | 69 |
patient care | 68 |
coronavirus disease | 67 |
bloodstream infections | 67 |
respiratory tract | 67 |
time series | 67 |
enteric viruses | 66 |
care workers | 66 |
clostridium difficile | 64 |
may also | 63 |
hong kong | 63 |
global health | 62 |
outbreak herds | 61 |
person transmission | 60 |
based precautions | 59 |
pseudomonas aeruginosa | 59 |
emerging infectious | 58 |
made available | 58 |
influenza outbreaks | 57 |
international license | 57 |
outbreak investigation | 57 |
outbreak detection | 57 |
rotavirus infection | 56 |
water supply | 55 |
food poisoning | 55 |
early detection | 55 |
nosocomial transmission | 55 |
disease surveillance | 54 |
version posted | 53 |
contact precautions | 53 |
drinking water | 53 |
outbreak control | 53 |
antimicrobial agents | 52 |
case definition | 52 |
democratic republic | 51 |
systematic review | 51 |
sierra leone | 51 |
attack rate | 50 |
developing countries | 50 |
social media | 49 |
influenza pandemic | 49 |
food handlers | 48 |
east respiratory | 48 |
molecular epidemiology | 47 |
risk factor | 47 |
family members | 47 |
index case | 47 |
infected patients | 46 |
mental health | 46 |
contact tracing | 46 |
surveillance systems | 45 |
united kingdom | 45 |
mumps virus | 45 |
evd outbreak | 45 |
antimicrobial therapy | 44 |
direct contact | 44 |
serratia marcescens | 43 |
health authorities | 43 |
contaminated water | 43 |
body fluids | 43 |
nosocomial outbreak | 43 |
klebsiella pneumoniae | 42 |
data collection | 42 |
one study | 42 |
even though | 42 |
kategorie ib | 42 |
campylobacter jejuni | 41 |
human milk | 41 |
increased risk | 41 |
antimicrobial resistance | 41 |
mumps vaccine | 41 |
virus outbreak | 41 |
home care | 40 |
gastrointestinal tract | 40 |
low birth | 40 |
resistant enterococci | 40 |
human transmission | 40 |
waterborne illness | 39 |
airborne transmission | 39 |
breast milk | 39 |
swimming pool | 39 |
immune response | 39 |
societal learning | 39 |
necrotizing enterocolitis | 39 |
foodborne outbreaks | 39 |
contaminated food | 39 |
critically ill | 39 |
syndromic surveillance | 39 |
outbreak events | 39 |
respiratory infections | 38 |
human metapneumovirus | 38 |
advisory committee | 38 |
ill persons | 38 |
general public | 38 |
healthcare settings | 37 |
surveillance data | 37 |
mortality rate | 37 |
saudi arabia | 37 |
etiologic agent | 37 |
see table | 37 |
environmental surfaces | 37 |
preventive measures | 37 |
medrxiv preprint | 37 |
diarrheal disease | 36 |
reported cases | 36 |
outbreak investigations | 36 |
environmental contamination | 36 |
young children | 36 |
viral infections | 36 |
new york | 36 |
health emergency | 36 |
medical care | 36 |
virus transmission | 36 |
sars coronavirus | 36 |
associated pneumonia | 36 |
prevent transmission | 36 |
viral load | 36 |
water samples | 35 |
respiratory viruses | 35 |
high risk | 35 |
nursing home | 35 |
acinetobacter baumannii | 35 |
infection prevention | 35 |
personal hygiene | 35 |
health workers | 35 |
adenovirus type | 34 |
protective behaviors | 34 |
influenza outbreak | 34 |
chain reaction | 34 |
control strategies | 34 |
prospective study | 34 |
least one | 34 |
clinical microbiology | 34 |
foodborne disease | 34 |
infected individuals | 34 |
clinical features | 34 |
fresh produce | 33 |
typhoid fever | 33 |
polymerase chain | 33 |
general population | 33 |
risk assessment | 33 |
outbreak management | 33 |
personal protective | 33 |
protective equipment | 33 |
respiratory symptoms | 32 |
hydrogen peroxide | 32 |
mmr vaccine | 32 |
tested positive | 32 |
communicable diseases | 32 |
transmission dynamics | 32 |
international health | 32 |
statistically significant | 32 |
infection rates | 32 |
mycobacterium tuberculosis | 32 |
health officials | 31 |
neonatal unit | 31 |
clinical symptoms | 31 |
close contact | 31 |
immune system | 31 |
healthcare system | 31 |
neutralizing antibodies | 31 |
swimming pools | 31 |
disease transmission | 31 |
nursing homes | 31 |
virus infections | 31 |
salmonella infection | 31 |
clinical trials | 31 |
viral gastroenteritis | 30 |
preterm infants | 30 |
theme parks | 30 |
west nile | 30 |
health surveillance | 30 |
symptom onset | 30 |
amino acid | 30 |
hubei province | 30 |
biological attack | 30 |
suspected cases | 30 |
cystic fibrosis | 30 |
newborn infants | 30 |
fatality rate | 30 |
million people | 30 |
respiratory infection | 30 |
vaccine failure | 30 |
vaccination coverage | 30 |
total outbreak | 30 |
serum samples | 30 |
respiratory failure | 30 |
machine learning | 30 |
factors associated | 30 |
clinical specimens | 29 |
reproduction number | 29 |
health agencies | 29 |
influenza viruses | 29 |
acute gastroenteritis | 29 |
ebola hemorrhagic | 29 |
clinical manifestations | 29 |
water treatment | 29 |
attack rates | 28 |
bloodstream infection | 28 |
genome sequencing | 28 |
current outbreak | 28 |
gi disease | 28 |
staff members | 28 |
foodborne illness | 28 |
premature infants | 28 |
acute care | 28 |
associated infections | 28 |
case study | 28 |
hospitalized patients | 28 |
negative bacilli | 27 |
mean value | 27 |
pregnant women | 27 |
odds ratio | 27 |
lower respiratory | 27 |
weight infants | 27 |
may occur | 27 |
secondary cases | 27 |
outbreak risk | 27 |
epidemiological investigation | 27 |
large numbers | 27 |
future outbreaks | 27 |
infectious agent | 27 |
human beings | 26 |
healthcare personnel | 26 |
health security | 26 |
strongly agreed | 26 |
international concern | 26 |
recreational water | 26 |
may result | 26 |
west african | 26 |
vaccine development | 26 |
outbreak response | 26 |
respiratory distress | 26 |
acquired infections | 26 |
test results | 26 |
risk perception | 25 |
cohort study | 25 |
new year | 25 |
tract infection | 25 |
first case | 25 |
determine whether | 25 |
antimicrobial susceptibility | 25 |
clinical signs | 25 |
communicable disease | 25 |
waterborne disease | 25 |
may help | 25 |
antibiotic resistance | 25 |
immune responses | 25 |
healthcare facilities | 25 |
fi rst | 25 |
global spread | 25 |
total number | 25 |
droplet precautions | 25 |
viral pathogens | 25 |
preventing transmission | 25 |
cruise lines | 25 |
gel electrophoresis | 25 |
large outbreak | 25 |
infection rate | 25 |
european countries | 24 |
emergency committee | 24 |
early warning | 24 |
molecular techniques | 24 |
first months | 24 |
resistant enterococcus | 24 |
travel restrictions | 24 |
will help | 24 |
climate change | 24 |
clinical presentation | 24 |
mortality rates | 24 |
avian influenza | 24 |
hand washing | 24 |
exposure prophylaxis | 24 |
spectrum beta | 24 |
coronavirus outbreak | 24 |
universal precautions | 23 |
many people | 23 |
black death | 23 |
respiratory protection | 23 |
may provide | 23 |
newborn infant | 23 |
campylobacter enteritis | 23 |
water supplies | 23 |
medical equipment | 23 |
salmonella infections | 23 |
water source | 23 |
epidemic curve | 23 |
outbreaks associated | 23 |
health status | 23 |
health regulations | 23 |
nosocomial respiratory | 23 |
coping appraisal | 23 |
commonly used | 23 |
risk management | 23 |
causative agent | 23 |
disease caused | 23 |
emerging issues | 22 |
nile virus | 22 |
molecular typing | 22 |
stool cultures | 22 |
respiratory secretions | 22 |
airborne precautions | 22 |
health interventions | 22 |
many countries | 22 |
face masks | 22 |
infected persons | 22 |
emerging disease | 22 |
mechanical ventilation | 22 |
high mortality | 22 |
like viruses | 22 |
emerging diseases | 22 |
global public | 22 |
per day | 22 |
tract infections | 22 |
salmonella outbreak | 22 |
confirmed case | 22 |
mitigation measures | 22 |
mumps outbreaks | 22 |
field gel | 22 |
enterobacter cloacae | 22 |
aerosol transmission | 22 |
central venous | 22 |
immunocompromised patients | 22 |
wide range | 22 |
disease spread | 22 |
mumps infection | 22 |
control programs | 22 |
within days | 22 |
nucleic acid | 22 |
crew members | 22 |
incidence rate | 21 |
index patient | 21 |
working group | 21 |
transmission rate | 21 |
lessons learned | 21 |
among patients | 21 |
water quality | 21 |
early stages | 21 |
large number | 21 |
associated diarrhea | 21 |
rotavirus infections | 21 |
health systems | 21 |
care nursery | 21 |
one outbreak | 21 |
new cases | 21 |
like illness | 21 |
urinary tract | 21 |
coronavirus infection | 21 |
eye protection | 21 |
active surveillance | 21 |
several studies | 21 |
per cent | 21 |
another study | 21 |
health system | 21 |
fatal cases | 21 |
antibody titers | 21 |
resistant acinetobacter | 21 |
control study | 21 |
cholera toxin | 21 |
community transmission | 21 |
study period | 20 |
local health | 20 |
outbreak associated | 20 |
outbreak event | 20 |
mumps outbreak | 20 |
virus outbreaks | 20 |
stem cell | 20 |
cruise industry | 20 |
infection risk | 20 |
outbreak occurred | 20 |
infections associated | 20 |
enteric pathogens | 20 |
mucous membranes | 20 |
jakob disease | 20 |
ebola epidemic | 20 |
removal rate | 20 |
pathogen transmission | 20 |
developed countries | 20 |
closely related | 20 |
infections among | 20 |
predictive value | 20 |
important role | 20 |
rate among | 20 |
shiga toxin | 20 |
pediatric patients | 20 |
nosocomial outbreaks | 20 |
respiratory illness | 20 |
controlled trial | 20 |
epidemic outbreaks | 20 |
vaccine strain | 19 |
years old | 19 |
air travel | 19 |
hospital outbreak | 19 |
practices advisory | 19 |
acinetobacter spp | 19 |
infants born | 19 |
cerebrospinal fluid | 19 |
urban resilience | 19 |
natural outbreak | 19 |
fruit bats | 19 |
posted april | 19 |
outbreak among | 19 |
actinobacillus pleuropneumoniae | 19 |
animal models | 19 |
norwalk virus | 19 |
also may | 19 |
patients infected | 19 |
real time | 19 |
infl uenza | 19 |
statistical significance | 19 |
three cases | 19 |
older children | 19 |
bloody diarrhea | 19 |
among children | 19 |
different types | 19 |
north america | 19 |
health professionals | 19 |
foodborne illnesses | 19 |
fi nancing | 19 |
medical staff | 19 |
live attenuated | 19 |
etiologic agents | 19 |
nervous system | 19 |
case report | 19 |
data sharing | 19 |
yersinia enterocolitica | 19 |
case fatality | 19 |
statistical methods | 19 |
genome sequences | 19 |
ebola outbreaks | 19 |
virus type | 19 |
new coronavirus | 18 |
care centers | 18 |
gestational age | 18 |
infection among | 18 |
confirmed infections | 18 |
outbreak risks | 18 |
influenza vaccine | 18 |
available data | 18 |
zika virus | 18 |
strongly associated | 18 |
fungal infections | 18 |
simplex virus | 18 |
young adults | 18 |
age groups | 18 |
producing klebsiella | 18 |
surface water | 18 |
stool samples | 18 |
eff orts | 18 |
case definitions | 18 |
respiratory hygiene | 18 |
surgical masks | 18 |
within hours | 18 |
natural outbreaks | 18 |
care ethics | 18 |
viral shedding | 18 |
mass vaccination | 18 |
disease epidemiology | 18 |
simulated outbreaks | 18 |
emerging infections | 18 |
april th | 18 |
null hypothesis | 18 |
long term | 18 |
study design | 18 |
monoclonal antibodies | 18 |
confidence interval | 18 |
cov infection | 18 |
herpes simplex | 18 |
adopted awareness | 18 |
infected person | 18 |
two cases | 18 |
enteroaggregative escherichia | 18 |
neonatal infections | 18 |
may become | 18 |
vibrio cholerae | 18 |
stool specimens | 18 |
care setting | 18 |
infect dis | 17 |
ebola response | 17 |
high levels | 17 |
shock syndrome | 17 |
human rotavirus | 17 |
artificial intelligence | 17 |
new virus | 17 |
also found | 17 |
abdominal pain | 17 |
york city | 17 |
special care | 17 |
present study | 17 |
bone marrow | 17 |
healthcare providers | 17 |
intestinal tract | 17 |
incubation periods | 17 |
isolation precautions | 17 |
economic growth | 17 |
lunar new | 17 |
companion animals | 17 |
antibody prophylaxis | 17 |
ill patients | 17 |
infections caused | 17 |
cough etiquette | 17 |
infection may | 17 |
environmental cleaning | 17 |
health department | 17 |
generation sequencing | 17 |
human enteric | 17 |
outbreak caused | 17 |
biological warfare | 17 |
potential risk | 17 |
transmission events | 17 |
pandemic outbreak | 17 |
immunization practices | 17 |
epidemiological data | 17 |
unit outbreak | 17 |
detection methods | 17 |
viral outbreaks | 17 |
contact time | 17 |
foodborne transmission | 17 |
acute diarrhea | 17 |
health disaster | 17 |
among infants | 17 |
accidental release | 17 |
specific antibodies | 17 |
identifi ed | 17 |
immunodeficiency virus | 17 |
severe respiratory | 17 |
regression models | 17 |
national level | 17 |
upper respiratory | 17 |
health services | 17 |
small round | 17 |
south korea | 17 |
food items | 17 |
age group | 17 |
influenza vaccination | 17 |
human immunodeficiency | 17 |
viral respiratory | 17 |
small number | 17 |
supply chain | 17 |
human rights | 17 |
admission interval | 17 |
may include | 16 |
facility managers | 16 |
microbiology laboratory | 16 |
virus particles | 16 |
respiratory virus | 16 |
infected people | 16 |
biological agents | 16 |
authors declare | 16 |
infected infants | 16 |
secondary infections | 16 |
will need | 16 |
clinical samples | 16 |
day care | 16 |
potentially infectious | 16 |
barrier precautions | 16 |
sars epidemic | 16 |
capital regulation | 16 |
wild animals | 16 |
foodborne diseases | 16 |
care hospitals | 16 |
susceptible population | 16 |
occupational health | 16 |
enterococcus faecium | 16 |
critical care | 16 |
epec gastroenteritis | 16 |
disease risk | 16 |
antibody response | 16 |
gastroenteritis associated | 16 |
clinical characteristics | 16 |
national health | 16 |
epidemiological investigations | 16 |
ethical issues | 16 |
antiviral drugs | 16 |
distress syndrome | 16 |
droplet nuclei | 16 |
severe disease | 16 |
days later | 16 |
among healthcare | 16 |
venous catheters | 16 |
highly vaccinated | 16 |
care hospital | 16 |
mathematical models | 16 |
particularly important | 16 |
global pandemic | 16 |
oral route | 15 |
pod week | 15 |
twitter data | 15 |
positive results | 15 |
environmental samples | 15 |
theme park | 15 |
bush meat | 15 |
case numbers | 15 |
acute phase | 15 |
relatively low | 15 |
correlation coefficient | 15 |
crisis management | 15 |
drug administration | 15 |
spontaneous outbreak | 15 |
outbreak scenarios | 15 |
national nosocomial | 15 |
infection associated | 15 |
big data | 15 |
table i | 15 |
epidemic spread | 15 |
negative binomial | 15 |
vaccinated individuals | 15 |
human resources | 15 |
clinical data | 15 |
per year | 15 |
common source | 15 |
neonatal sepsis | 15 |
studies suggest | 15 |
epidemiologic studies | 15 |
patient transmission | 15 |
vaccination campaigns | 15 |
recent studies | 15 |
neonatal diarrhea | 15 |
common cause | 15 |
clinical disease | 15 |
pediatric intensive | 15 |
first reported | 15 |
surveillance cultures | 15 |
high prevalence | 15 |
guangdong province | 15 |
human cases | 15 |
diagnostic tests | 15 |
sequence analysis | 15 |
zoster virus | 15 |
tap water | 15 |
neutralizing antibody | 15 |
law enforcement | 15 |
took place | 15 |
surveillance program | 15 |
mmr vaccination | 15 |
tertiary care | 15 |
data suggest | 15 |
hmpv pneumonia | 15 |
positive predictive | 15 |
emergency department | 15 |
human health | 15 |
recent years | 15 |
may contribute | 15 |
relative risk | 15 |
posted june | 15 |
vaccine coverage | 15 |
ncov outbreak | 15 |
initial outbreak | 15 |
first year | 15 |
case counts | 15 |
viral infection | 15 |
neonatal rotavirus | 15 |
viral loads | 15 |
etiological agent | 15 |
preventable diseases | 15 |
sore throat | 15 |
infections due | 14 |
threat appraisal | 14 |
unit nosocomial | 14 |
gastroenteritis outbreaks | 14 |
sexual transmission | 14 |
human rhinovirus | 14 |
mainland china | 14 |
became ill | 14 |
foodborne outbreak | 14 |
mass evacuation | 14 |
patients may | 14 |
exponential growth | 14 |
control program | 14 |
cases per | 14 |
may need | 14 |
health information | 14 |
parainfluenza virus | 14 |
political issues | 14 |
body fluid | 14 |
study showed | 14 |
natural disasters | 14 |
resistant organisms | 14 |
outbreak reports | 14 |
infections surveillance | 14 |
microbiology reviews | 14 |
nursery outbreak | 14 |
two outbreaks | 14 |
antibody titer | 14 |
health disasters | 14 |
may cause | 14 |
care personnel | 14 |
seasonal influenza | 14 |
health service | 14 |
care system | 14 |
basic reproduction | 14 |
guaranteed rate | 14 |
prediction interval | 14 |
people will | 14 |
may require | 14 |
transmission rates | 14 |
decision making | 14 |
case series | 14 |
health measures | 14 |
identified outbreaks | 14 |
lymph nodes | 14 |
reported outbreaks | 14 |
hospital infection | 14 |
waterborne outbreaks | 14 |
engineering controls | 14 |
outbreak due | 14 |
protective behavior | 14 |
pneumonia cases | 14 |
biological agent | 14 |
peer review | 14 |
vaccination program | 14 |
health departments | 14 |
african ebola | 14 |
time since | 14 |
infection due | 14 |
nosocomial pathogens | 14 |
outbreak period | 14 |
accountability commission | 14 |
sporadic cases | 14 |
year period | 14 |
hospital admission | 14 |
reverse transcription | 14 |
short time | 14 |
pneumonia patients | 14 |
health issues | 14 |
gastroenteritis due | 14 |
year holiday | 14 |
newborn nursery | 14 |
population density | 14 |
fluorescent antibody | 14 |
virus vaccine | 14 |
indicator organisms | 14 |
salmonella gastroenteritis | 14 |
respiratory pathogens | 14 |
pool water | 14 |
informed consent | 14 |
two different | 14 |
epidemiologically important | 14 |
statistical analysis | 13 |
prevention measures | 13 |
rapid spread | 13 |
cases reported | 13 |
water system | 13 |
base case | 13 |
neonatal nursery | 13 |
based surveillance | 13 |
rhesus monkeys | 13 |
tourism industry | 13 |
susceptible individuals | 13 |
medical conditions | 13 |
north american | 13 |
neighboring localities | 13 |
genome sequence | 13 |
quarantine measures | 13 |
metapneumovirus infection | 13 |
pulmonary tuberculosis | 13 |
pandemic potential | 13 |
asymptomatic infection | 13 |
patient rooms | 13 |
studies reported | 13 |
sccs method | 13 |
outbreak prediction | 13 |
low birthweight | 13 |
biological weapons | 13 |
core capacities | 13 |
outbreak hospital | 13 |
food handling | 13 |
cytomegalovirus infection | 13 |
waterborne diseases | 13 |
care providers | 13 |
final outbreak | 13 |
neural networks | 13 |
health emergencies | 13 |
first outbreak | 13 |
ill people | 13 |
environmental infection | 13 |
outbreaks due | 13 |
human infectious | 13 |
expected number | 13 |
antibody responses | 13 |
formal education | 13 |
transmission routes | 13 |
one case | 13 |
respiratory outbreaks | 13 |
bacterial pathogens | 13 |
vaccine effectiveness | 13 |
disease severity | 13 |
index cases | 13 |
industrialized countries | 13 |
infantile diarrhea | 13 |
transmission within | 13 |
evd outbreaks | 13 |
individual cases | 13 |
rv outbreaks | 13 |
international travel | 13 |
immediate emerging | 13 |
african countries | 13 |
neonatal units | 13 |
case reports | 13 |
biological attacks | 13 |
face shield | 13 |
central nervous | 13 |
health impact | 13 |
middle eastern | 13 |
cell culture | 13 |
samples collected | 13 |
member states | 13 |
may increase | 13 |
infectious material | 13 |
aff ected | 13 |
human coronavirus | 13 |
outbreaks may | 13 |
laboratory testing | 13 |
recent outbreaks | 13 |
particle swarm | 13 |
like virus | 13 |
highly contagious | 13 |
negative bacteria | 13 |
incidence rates | 13 |
ambulatory care | 13 |
early stage | 13 |
gastroenteritis outbreak | 13 |
spike glycoprotein | 13 |
cases among | 13 |
less common | 13 |
kategorie iii | 13 |
perceived severity | 13 |
seek medical | 13 |
bottled water | 13 |
related outbreaks | 13 |
bacterial infections | 13 |
dengue fever | 13 |
frozen raspberries | 13 |
seiqrdp model | 13 |
low risk | 13 |
public transportation | 13 |
hygiene practices | 13 |
two weeks | 13 |
patient room | 13 |
test orders | 13 |
viral hemorrhagic | 13 |
extremely low | 13 |
optimal guaranteed | 13 |
safety culture | 13 |
gene therapy | 13 |
two studies | 13 |
hygiene cough | 13 |
higher risk | 13 |
high fever | 13 |
readily available | 13 |
hospitalized children | 13 |
control precautions | 13 |
fecal contamination | 13 |
less likely | 13 |
antibody levels | 13 |
preterm neonates | 13 |
health organizations | 13 |
cruise travel | 13 |
care delivery | 13 |
fever outbreaks | 13 |
nicu setting | 12 |
generation cephalosporins | 12 |
disease threats | 12 |
exact test | 12 |
first two | 12 |
control interventions | 12 |
first time | 12 |
burkholderia cepacia | 12 |
fl uenza | 12 |
roosevelt outbreak | 12 |
round structured | 12 |
among health | 12 |
point source | 12 |
outbreaks reported | 12 |
aboard cruise | 12 |
negative results | 12 |
commercially available | 12 |
may affect | 12 |
candida species | 12 |
additional file | 12 |
human primates | 12 |
first century | 12 |
rubella vaccine | 12 |
chest ct | 12 |
high rate | 12 |
previous outbreaks | 12 |
explanatory variables | 12 |
major cause | 12 |
zoonotic diseases | 12 |
listeria monocytogenes | 12 |
causative agents | 12 |
rights reserved | 12 |
disease prevention | 12 |
symptomatic patients | 12 |
vaccine candidates | 12 |
among neonates | 12 |
care center | 12 |
visit theme | 12 |
will require | 12 |
invasive devices | 12 |
supply chains | 12 |
hospital settings | 12 |
intentional contamination | 12 |
clostridium perfringens | 12 |
nosocomial bloodstream | 12 |
american academy | 12 |
statistical analyses | 12 |
patient contact | 12 |
prevent future | 12 |
infection surveillance | 12 |
inanimate surfaces | 12 |
limited number | 12 |
viral genome | 12 |
wound infections | 12 |
become contaminated | 12 |
learning rate | 12 |
blood samples | 12 |
rapid detection | 12 |
united nations | 12 |
patient safety | 12 |
less frequently | 12 |
economic impact | 12 |
chinese government | 12 |
large outbreaks | 12 |
regression analysis | 12 |
severe outbreaks | 12 |
close proximity | 12 |
coronavirus hku | 12 |
high level | 12 |
international spread | 12 |
health ethics | 12 |
state provincial | 12 |
logistic regression | 12 |
positive association | 12 |
official information | 12 |
potential sources | 12 |
possible sources | 12 |
susceptibility patterns | 12 |
indirect contact | 12 |
nursing staff | 12 |
specific antibody | 12 |
safe food | 12 |
haemorrhagic fever | 12 |
three different | 12 |
electron microscopy | 12 |
infected food | 12 |
molecular methods | 12 |
oral transmission | 12 |
diamond princess | 12 |
small animal | 12 |
sample size | 12 |
patient isolation | 12 |
data analysis | 12 |
emergency response | 12 |
infantile gastroenteritis | 12 |
work restriction | 12 |
chlorine dioxide | 12 |
outbreak strain | 12 |
affected patients | 12 |
food samples | 12 |
immune globulin | 12 |
respiratory droplets | 12 |
pathogenic organisms | 12 |
many cases | 12 |
bloodborne pathogens | 12 |
person spread | 12 |
generating procedures | 12 |
hmpv infection | 12 |
possible role | 12 |
national outbreak | 12 |
mechanically ventilated | 12 |
epidemiological studies | 12 |
burn unit | 12 |
laboratory results | 12 |
food supply | 12 |
environmental health | 12 |
bacillus anthracis | 12 |
nursery outbreaks | 12 |
skilled nursing | 12 |
pandemic outbreaks | 12 |
epidemic keratoconjunctivitis | 12 |
teaching hospital | 12 |
global community | 12 |
aspergillus spp | 12 |
improved farrington | 12 |
widely used | 12 |
disease prevalence | 12 |
infectious individuals | 12 |
early outbreak | 12 |
better understanding | 12 |
reproduction numbers | 12 |
system dynamics | 12 |
water systems | 12 |
staying home | 12 |
pulmonary cases | 12 |
stochastic model | 12 |
marrow transplant | 12 |
sars patients | 12 |
time period | 12 |
com scientificreports | 12 |
water sources | 12 |
disease emergence | 12 |
health response | 12 |
wild type | 12 |
online shopping | 12 |
safety authority | 11 |
spatial distribution | 11 |
umbilical artery | 11 |
campylobacter coli | 11 |
control policies | 11 |
high proportion | 11 |
waterborne illnesses | 11 |
blood cultures | 11 |
endemic disease | 11 |
least two | 11 |
initial cases | 11 |
controlled study | 11 |
face shields | 11 |
pathogens may | 11 |
much higher | 11 |
data collected | 11 |
food outlets | 11 |
detect outbreaks | 11 |
outbreaks caused | 11 |
st century | 11 |
fever viruses | 11 |
large proportion | 11 |
transmission risks | 11 |
invasive procedures | 11 |
monte carlo | 11 |
university hospital | 11 |
severe influenza | 11 |
response costs | 11 |
three outbreaks | 11 |
become infected | 11 |
national surveillance | 11 |
persistent diarrhea | 11 |
cell responses | 11 |
premise i | 11 |
reproductive number | 11 |
routine immunization | 11 |
transplant recipients | 11 |
hospital transmission | 11 |
pharyngoconjunctival fever | 11 |
jejuni enteritis | 11 |
sewage sludge | 11 |
small intestine | 11 |
epithelial cells | 11 |
hev rna | 11 |
cause disease | 11 |
volunteer studies | 11 |
european union | 11 |
cov infections | 11 |
convalescent plasma | 11 |
viral replication | 11 |
pseudomembranous colitis | 11 |
emotional status | 11 |
recent outbreak | 11 |
physical contact | 11 |
standard deviation | 11 |
getting infected | 11 |
respondents strongly | 11 |
data regarding | 11 |
health education | 11 |
will continue | 11 |
likely source | 11 |
antibiotic therapy | 11 |
often associated | 11 |
monoclonal antibody | 11 |
nipah virus | 11 |
also used | 11 |
healthcare infection | 11 |
several countries | 11 |
independent variables | 11 |
mass media | 11 |
gii novs | 11 |
will also | 11 |
specimen collection | 11 |
data series | 11 |
several factors | 11 |
built environment | 11 |
food preparation | 11 |
cholera outbreak | 11 |
watery diarrhea | 11 |
control practice | 11 |
protective immunity | 11 |
diseases surveillance | 11 |
contact transmission | 11 |
immunosorbent assay | 11 |
past years | 11 |
clostridium diflicile | 11 |
rhesus macaques | 11 |
ml methods | 11 |
future research | 11 |
standing emergency | 11 |
nosocomial pneumonia | 11 |
will allow | 11 |
ebola infection | 11 |
data sources | 11 |
included studies | 11 |
nosocomial spread | 11 |
community outbreak | 11 |
mg kg | 11 |
invasive aspergillosis | 11 |
animal species | 11 |
swarm optimization | 11 |
environmental conditions | 11 |
hospital environment | 11 |
infection transmission | 11 |
human adenovirus | 11 |
chronic diarrhea | 11 |
candida parapsilosis | 11 |
susceptible persons | 11 |
using data | 11 |
supportive care | 11 |
based transmission | 11 |
suspected case | 11 |
social network | 11 |
close contacts | 11 |
information regarding | 11 |
significantly higher | 11 |
specific parameters | 11 |
relevant information | 11 |
salmonella enteritidis | 11 |
may lead | 11 |
collect samples | 11 |
medical facilities | 11 |
severe pneumonia | 11 |
viral rna | 11 |
traditional healers | 11 |
emerging viruses | 11 |
child care | 11 |
foodborne viruses | 11 |
tuberculosis cases | 11 |
single case | 11 |
mitigation strategies | 11 |
hospital setting | 11 |
another outbreak | 11 |
touch surfaces | 11 |
epidemiologic data | 11 |
health infrastructure | 11 |
march th | 11 |
molecular data | 11 |
government officials | 11 |
control team | 11 |
complete genome | 11 |
marburg virus | 11 |
epidemiological study | 11 |
retrospective study | 11 |
ventilation systems | 11 |
socioeconomic issues | 11 |
waning immunity | 11 |
medical center | 11 |
outbreak data | 10 |
posted july | 10 |
jl vaccine | 10 |
infant formula | 10 |
neuraminidase inhibitors | 10 |
soft tissue | 10 |
methods used | 10 |
nan doi | 10 |
strains isolated | 10 |
randomized controlled | 10 |
study found | 10 |
vertical transmission | 10 |
governmental sources | 10 |
contact rate | 10 |
governmental organisations | 10 |
whole genome | 10 |
outbreaks occurred | 10 |
will provide | 10 |
major outbreak | 10 |
current weeks | 10 |
baby unit | 10 |
long incubation | 10 |
may play | 10 |
travel history | 10 |
intestinal mucosa | 10 |
vibrio fetus | 10 |
face mask | 10 |
social networks | 10 |
health threat | 10 |
symptomatic infection | 10 |
among staff | 10 |
long distances | 10 |
viral transmission | 10 |
environmental factors | 10 |
humoral immunity | 10 |
social isolation | 10 |
norovirus outbreaks | 10 |
varicella vaccine | 10 |
become ill | 10 |
campylobacter fetus | 10 |
two consecutive | 10 |
host immune | 10 |
candida albicans | 10 |
early diagnosis | 10 |
frequently reported | 10 |
spread across | 10 |
resistant gram | 10 |
epec infection | 10 |
containment measures | 10 |
medical devices | 10 |
human population | 10 |
additional information | 10 |
toxic shock | 10 |
endotracheal intubation | 10 |
mumps cases | 10 |
pneumonic plague | 10 |
core functions | 10 |
sequence data | 10 |
artery catheters | 10 |
affected areas | 10 |
long time | 10 |
streptococcus pyogenes | 10 |
bat origin | 10 |
reporting system | 10 |
drug resistance | 10 |
resistant strains | 10 |
major cities | 10 |
clinical trial | 10 |
branching process | 10 |
household members | 10 |
spanish flu | 10 |
infect humans | 10 |
home health | 10 |
glove use | 10 |
vaccinated population | 10 |
food control | 10 |
first days | 10 |
available online | 10 |
associated bloodstream | 10 |
contact isolation | 10 |
infectious period | 10 |
linked immunosorbent | 10 |
sars outbreaks | 10 |
gastrointestinal disease | 10 |
healthcare worker | 10 |
gene editing | 10 |
health commission | 10 |
animal health | 10 |
poisson regression | 10 |
timely manner | 10 |
transmission among | 10 |
low levels | 10 |
past outbreaks | 10 |
highly effective | 10 |
commonly reported | 10 |
relatively small | 10 |
high incidence | 10 |
spatiotemporal analysis | 10 |
new pathogens | 10 |
host cell | 10 |
wash hands | 10 |
infected hosts | 10 |
human disease | 10 |
laboratory tests | 10 |
molecular analysis | 10 |
porcine pleuropneumonia | 10 |
case studies | 10 |
diagnostic methods | 10 |
based system | 10 |
veterinary practices | 10 |
outbreak may | 10 |
first week | 10 |
may reduce | 10 |
coli strains | 10 |
descriptive study | 10 |
invasive disease | 10 |
two groups | 10 |
infections transmitted | 10 |
descriptive epidemiology | 10 |
irrigation water | 10 |
table presents | 10 |
precautions may | 10 |
based study | 10 |
among residents | 10 |
prior outbreaks | 10 |
transmitted via | 10 |
higher levels | 10 |
prolonged periods | 10 |
fecal leukocytes | 10 |
jejuni infection | 10 |
model parameters | 10 |
outbreak members | 10 |
offi ce | 10 |
borne viruses | 10 |
postexposure prophylaxis | 10 |
food security | 10 |
health concern | 10 |
first report | 10 |
sverdlovsk anthrax | 10 |
distancing measures | 10 |
patient outcomes | 10 |
urban areas | 10 |
global system | 10 |
influenza vaccines | 10 |
vaccination activities | 10 |
plastic bags | 10 |
anxiety status | 10 |
lymphogranuloma venereum | 10 |
outbreak involving | 10 |
sars cases | 10 |
two doses | 10 |
world war | 10 |
nov outbreaks | 10 |
also occur | 10 |
analysis using | 10 |
potable water | 10 |
disease burden | 10 |
vaccine efficacy | 10 |
comparative analysis | 10 |
several days | 10 |
probable cases | 10 |
many outbreaks | 10 |
clinical studies | 10 |
unit patients | 10 |
social contacts | 10 |
allowed us | 10 |
outbreak orphanage | 10 |
online survey | 10 |
droplet route | 10 |
suspect cases | 10 |
difficile infection | 10 |
seir model | 10 |
medical countermeasures | 10 |
experimental studies | 10 |
cell transplant | 10 |
direct patient | 10 |
simulated dataset | 10 |
acute illness | 10 |
neural network | 10 |
pseudomonas cepacia | 10 |
risk group | 9 |
epidemic outbreak | 9 |
prevent nosocomial | 9 |
patients undergoing | 9 |
scale outbreaks | 9 |
molecular characterization | 9 |
raw milk | 9 |
basic infection | 9 |
will make | 9 |
related infections | 9 |
severe illness | 9 |
explanatory factors | 9 |
safety issues | 9 |
see http | 9 |
spring water | 9 |
one third | 9 |
data management | 9 |
qualitative study | 9 |
performance measures | 9 |
enteric infections | 9 |
reduce transmission | 9 |
diarrheal illness | 9 |
remains unclear | 9 |
posted november | 9 |
outbreak settings | 9 |
scale items | 9 |
previous studies | 9 |
reston ebolavirus | 9 |
national institute | 9 |
identi fi | 9 |
nonhuman primates | 9 |
one year | 9 |
transfer process | 9 |
outbreak news | 9 |
ring vaccination | 9 |
case outbreak | 9 |
isolation room | 9 |
income countries | 9 |
control holidays | 9 |
coliform bacteria | 9 |
treatment plant | 9 |
occurred among | 9 |
biological weapon | 9 |
illness caused | 9 |
venous catheter | 9 |
sequencing data | 9 |
widespread use | 9 |
spectrum antimicrobial | 9 |
starting point | 9 |
pediatric hospital | 9 |
cdc recommends | 9 |
local public | 9 |
rotavirus diarrhea | 9 |
treated water | 9 |
structured viruses | 9 |
developed symptoms | 9 |
iga antibody | 9 |
data available | 9 |
ebov infection | 9 |
discriminant function | 9 |
rotavirus strains | 9 |
several months | 9 |
distribution system | 9 |
every year | 9 |
health management | 9 |
different countries | 9 |
first confirmed | 9 |
broad range | 9 |
antimicrobial agent | 9 |
epidemic modelling | 9 |
feline calicivirus | 9 |
cruise line | 9 |
oyster tissues | 9 |
outbreak will | 9 |
noted earlier | 9 |
regression model | 9 |
pig herds | 9 |
mumps antibodies | 9 |
media sources | 9 |
two days | 9 |
case detection | 9 |
transmission via | 9 |
throat swabs | 9 |
theodore roosevelt | 9 |
findings suggest | 9 |
preventing nosocomial | 9 |
false alarms | 9 |
analysis showed | 9 |
rectal swabs | 9 |
bacillus cereus | 9 |
competing interests | 9 |
disease cases | 9 |
additional precautions | 9 |
fever outbreak | 9 |
publicly available | 9 |
significant variables | 9 |
norovirus outbreak | 9 |
outbreak sizes | 9 |
control efforts | 9 |
verwendet werden | 9 |
health conditions | 9 |
diffi cult | 9 |
epidemic data | 9 |
year old | 9 |
significant risk | 9 |
fecal specimens | 9 |
planned behaviour | 9 |
state health | 9 |
leafy greens | 9 |
human pathogens | 9 |
ill person | 9 |
cost function | 9 |
residual confounding | 9 |
vast majority | 9 |
haematology patients | 9 |
related bloodstream | 9 |
household contacts | 9 |
exposed individuals | 9 |
ebov gp | 9 |
care worker | 9 |
pharmaceutical interventions | 9 |
care patients | 9 |
work hours | 9 |
uv light | 9 |
zaire ebolavirus | 9 |
negative staphylococcal | 9 |
several outbreaks | 9 |
near future | 9 |
total population | 9 |
provide information | 9 |
south africa | 9 |
per ml | 9 |
resistant tuberculosis | 9 |
host range | 9 |
adverse effects | 9 |
dis doi | 9 |
sectional study | 9 |
descriptive statistics | 9 |
herd immunity | 9 |
one health | 9 |
aureus infections | 9 |
outbreak setting | 9 |
newborn intensive | 9 |
two types | 9 |
reported intentions | 9 |
spike protein | 9 |
limited settings | 9 |
contaminated salmon | 9 |
among hospital | 9 |
fi ndings | 9 |
national epidemic | 9 |
active pulmonary | 9 |
reporting threshold | 9 |
inference system | 9 |
modelling study | 9 |
food production | 9 |
will increase | 9 |
control procedures | 9 |
two distinct | 9 |
major pandemic | 9 |
global alert | 9 |
seeplex rv | 9 |
gastrointestinal symptoms | 9 |
vaccine strains | 9 |
preventive behavior | 9 |
aetiological agents | 9 |
military training | 9 |
contaminated surfaces | 9 |
viral particles | 9 |
data may | 9 |
endemic areas | 9 |
dysenteriae serotype | 9 |
aseptic meningitis | 9 |
within months | 9 |
systematic analysis | 9 |
natural infection | 9 |
economic consequences | 9 |
study group | 9 |
information sharing | 9 |
protective effect | 9 |
evd cases | 9 |
foodborne viral | 9 |
three patients | 9 |
increased incidence | 9 |
healthy infants | 9 |
nicu patients | 9 |
study sample | 9 |
large amount | 9 |
human subjects | 9 |
knowledge transfer | 9 |
mortality associated | 9 |
case finding | 9 |
potential pathogens | 9 |
positively loaded | 9 |
rates among | 9 |
whenever possible | 9 |
antibiotic treatment | 9 |
south america | 9 |
yersinia pestis | 9 |
significantly lower | 9 |
inflammatory response | 9 |
nurse staffing | 9 |
vancomycin resistance | 9 |
new admissions | 9 |
countries affected | 9 |
medical attention | 9 |
spread within | 9 |
enteric disease | 9 |
underlying disease | 9 |
severe cases | 9 |
severe diarrhea | 9 |
blood cell | 9 |
outbreaks involving | 9 |
human populations | 9 |
lassa fever | 9 |
one report | 9 |
statistical models | 9 |
infections per | 9 |
veterinary premises | 9 |
geographic area | 9 |
infected neonates | 9 |
specific disease | 9 |
open access | 9 |
smallpox vaccination | 9 |
genetic algorithm | 9 |
contaminated hands | 9 |
waste management | 9 |
fuzzy inference | 9 |
median age | 9 |
staff member | 9 |
different scenarios | 9 |
surgical mask | 9 |
droplet transmission | 9 |
related information | 9 |
explicit knowledge | 9 |
chemical disinfection | 9 |
surveillance network | 9 |
isolation gowns | 9 |
cases may | 9 |
fluconazole prophylaxis | 9 |
health risk | 9 |
stress worsening | 9 |
adverse events | 9 |
examples include | 9 |
positive cases | 9 |
anthrax outbreak | 9 |
free chlorine | 9 |
temporal trends | 9 |
wide variety | 9 |
naturally occurring | 9 |
care equipment | 9 |
routine patient | 9 |
national governments | 9 |
also demonstrated | 9 |
epidemic response | 9 |
infectious dose | 9 |
health policy | 9 |
ice cream | 9 |
becoming infected | 8 |
gi outbreaks | 8 |
also known | 8 |
data science | 8 |
population level | 8 |
recommended practices | 8 |
food products | 8 |
safe drinking | 8 |
greater risk | 8 |
intravenous fluids | 8 |
different kinds | 8 |
new technologies | 8 |
water crisis | 8 |
may indicate | 8 |
significant increase | 8 |
rapid diagnosis | 8 |
illness among | 8 |
last years | 8 |
susceptibility testing | 8 |
water temperature | 8 |
throughput sequencing | 8 |
central africa | 8 |
burn wound | 8 |
aureus infection | 8 |
antiviral activity | 8 |
water may | 8 |
based hand | 8 |
additional cases | 8 |
chlorine residual | 8 |
behavioral changes | 8 |
safe injection | 8 |
health regulation | 8 |
corona virus | 8 |
patient population | 8 |
residual chlorine | 8 |
air traffic | 8 |
southern china | 8 |
infected animals | 8 |
must also | 8 |
per hour | 8 |
study demonstrated | 8 |
also important | 8 |
local level | 8 |
level political | 8 |
without permission | 8 |
testing laboratory | 8 |
public information | 8 |
latent period | 8 |
visibly soiled | 8 |
summer camp | 8 |
metagenomic sequencing | 8 |
allowed without | 8 |
emergency departments | 8 |
will likely | 8 |
associated deaths | 8 |
observational study | 8 |
current study | 8 |
transmission model | 8 |
gii strains | 8 |
negative pressure | 8 |
pathogenic viruses | 8 |
several times | 8 |
filovirus disease | 8 |
will create | 8 |
tongue depressors | 8 |
reuse allowed | 8 |
may remain | 8 |
specific igg | 8 |
human infection | 8 |
pandemic virus | 8 |
increased number | 8 |
people living | 8 |
febrile illness | 8 |
may still | 8 |
genomic sequencing | 8 |
experimentally infected | 8 |
frozen strawberries | 8 |
associated infection | 8 |
virus survival | 8 |
tacit knowledge | 8 |
intestinal infection | 8 |
indoor environments | 8 |
rotavirus gastroenteritis | 8 |
risk information | 8 |
asymptomatic carriers | 8 |
focal outbreak | 8 |
several different | 8 |
current sars | 8 |
laboratory test | 8 |
factors contributing | 8 |
influenza infection | 8 |
health consequences | 8 |
hiv aids | 8 |
infection will | 8 |
plague outbreak | 8 |
vaccination programs | 8 |
major disease | 8 |
shaanxi province | 8 |
uss theodore | 8 |
new epidemic | 8 |
structural proteins | 8 |
maternally acquired | 8 |
white blood | 8 |
new type | 8 |
since onset | 8 |
outbreak member | 8 |
infusion therapy | 8 |
site infections | 8 |
care baby | 8 |
contagious disease | 8 |
viral disease | 8 |
infections occurring | 8 |
occupational safety | 8 |
infected cases | 8 |
outbreak reporting | 8 |
chlorine levels | 8 |
air conditioning | 8 |
disease associated | 8 |
precautionary measures | 8 |
laden aerosols | 8 |
study designs | 8 |
blood pressure | 8 |
tuberculosis transmission | 8 |
cooling towers | 8 |
less severe | 8 |
blood transfusion | 8 |
streptococcus pneumoniae | 8 |
guinea pig | 8 |
boil water | 8 |
two months | 8 |
may involve | 8 |
private rooms | 8 |
strong evidence | 8 |
military recruits | 8 |
health facilities | 8 |
cell transplantation | 8 |
cell epitopes | 8 |
increasing number | 8 |
also identified | 8 |
largest number | 8 |
healthcare professionals | 8 |
empirical evidence | 8 |
phylogenetic analysis | 8 |
giardia cysts | 8 |
good governance | 8 |
nonbacterial gastroenteritis | 8 |
bacterial contamination | 8 |
vaccinated populations | 8 |
virulence factors | 8 |
final visit | 8 |
hand rub | 8 |
high rates | 8 |
discriminative performance | 8 |
home outbreaks | 8 |
process model | 8 |
pandemic preparedness | 8 |
primary vaccine | 8 |
potential transmission | 8 |
zoonotic spillover | 8 |
literature review | 8 |
also showed | 8 |
injection practices | 8 |
typing methods | 8 |
month period | 8 |
many studies | 8 |
enteral feeding | 8 |
mumps vaccines | 8 |
source control | 8 |
recreational waters | 8 |
disseminated intravascular | 8 |
currently available | 8 |
university students | 8 |
blood group | 8 |
older adults | 8 |
collected data | 8 |
western europe | 8 |
polymorphic dna | 8 |
global mobility | 8 |
isolation rooms | 8 |
molecular diagnostic | 8 |
medical services | 8 |
cases occurred | 8 |
single dose | 8 |
gov ncidod | 8 |
transplant unit | 8 |
health sector | 8 |
prevalence survey | 8 |
emerging pathogens | 8 |
cause severe | 8 |
nongovernmental sources | 8 |
health community | 8 |
local population | 8 |
closure days | 8 |
average time | 8 |
hospitalized infants | 8 |
epidemic growth | 8 |
toxic substances | 8 |
neutralization antibody | 8 |
airborne infection | 8 |
surveillance methods | 8 |
global response | 8 |
february th | 8 |
less commonly | 8 |
food hygiene | 8 |
rabies virus | 8 |
blood specimens | 8 |
protracted diarrhea | 8 |
grocery shopping | 8 |
ebola haemorrhagic | 8 |
clinical cases | 8 |
cov antibodies | 8 |
environmental protection | 8 |
collect data | 8 |
might also | 8 |
life insurance | 8 |
older infants | 8 |
stochastic branching | 8 |
isolation procedures | 8 |
evidence suggests | 8 |
moral quandaries | 8 |
information will | 8 |
moral lens | 8 |
bloody stools | 8 |
eff ective | 8 |
acquired infection | 8 |
descriptive studies | 8 |
illness associated | 8 |
remains unknown | 8 |
political leadership | 8 |
also associated | 8 |
longitudinal study | 8 |
cusum glm | 8 |
respiratory illnesses | 8 |
high attack | 8 |
epidemiologic investigation | 8 |
immunological response | 8 |
crucial role | 8 |
social determinants | 8 |
two years | 8 |
bubonic plague | 8 |
lopinavir ritonavir | 8 |
pcr assays | 8 |
frequently used | 8 |
supplementary material | 8 |
program evaluation | 8 |
reporting systems | 8 |
clinical practice | 8 |
transmissible infectious | 8 |
airborne infectious | 8 |
reverse genetics | 8 |
unit epidemiology | 8 |
evd survivors | 8 |
formal healthcare | 8 |
basic reproductive | 8 |
molecular subtyping | 8 |
recommended infection | 8 |
week period | 8 |
risk communication | 8 |
chlorinated water | 8 |
salmonella thompson | 8 |
bronchial wall | 8 |
epidemiological models | 8 |
low level | 8 |
prospective surveillance | 8 |
person associations | 8 |
infected patient | 8 |
long periods | 8 |
anthrax spores | 8 |
current covid | 8 |
th century | 8 |
kitchen hygiene | 8 |
high morbidity | 8 |
surface cleaning | 8 |
laboratory confirmation | 8 |
maternity hospital | 8 |
known endemic | 8 |
work together | 8 |
routinely used | 8 |
costs associated | 8 |
novel virus | 8 |
negative predictive | 8 |
tissue culture | 8 |
situation report | 8 |
wall thickenings | 8 |
stay home | 8 |
year study | 8 |
health crisis | 8 |
mild influenza | 8 |
virus genotype | 8 |
water sample | 8 |
significantly increased | 8 |
hygiene compliance | 8 |
different sources | 8 |
gastrointestinal infections | 8 |
candida spp | 8 |
infections may | 8 |
global infectious | 8 |
intentional release | 8 |
respiratory support | 8 |
dif fi | 8 |
th day | 8 |
food contamination | 8 |
days earlier | 8 |
control orphanage | 8 |
genome types | 8 |
food shopping | 8 |
vector control | 8 |
see box | 8 |
useful information | 8 |
invasive group | 8 |
consumer behavior | 8 |
health threats | 8 |
artificial neural | 8 |
laboratory diagnosis | 8 |
clinical laboratories | 8 |
might result | 7 |
table ii | 7 |
issues related | 7 |
four cases | 7 |
environmental sources | 7 |
protective measures | 7 |
nontyphoidal salmonella | 7 |
virus associated | 7 |
final size | 7 |
three decades | 7 |
executive board | 7 |
one patient | 7 |
outpatient settings | 7 |
aeruginosa infection | 7 |
may develop | 7 |
reservoir host | 7 |
municipal health | 7 |
reporting rate | 7 |
porcine respiratory | 7 |
new infectious | 7 |
enteric bacteria | 7 |
diarrhea among | 7 |
jeryl lynn | 7 |
poor hand | 7 |
clinical course | 7 |
swine flu | 7 |
sialic acid | 7 |
previously unrecognized | 7 |
avoiding contact | 7 |
world bank | 7 |
appropriate antimicrobial | 7 |
lesser extent | 7 |
outbreak prevention | 7 |
situation reports | 7 |
children aged | 7 |
relatively mild | 7 |
relative humidity | 7 |
rna viruses | 7 |
fever vaccine | 7 |
spread throughout | 7 |
published reports | 7 |
next step | 7 |
controlled case | 7 |
control outbreaks | 7 |
raw water | 7 |
neonatal care | 7 |
swab specimens | 7 |
haematology ward | 7 |
staffing levels | 7 |
two decades | 7 |
information system | 7 |
recent advances | 7 |
information behavior | 7 |
chinese lunar | 7 |
illness due | 7 |
vesicular stomatitis | 7 |
pneumonia outbreak | 7 |
tuberculosis outbreak | 7 |
safety standards | 7 |
nucleic acids | 7 |
umbilical cord | 7 |
genomic diversity | 7 |
fenugreek seeds | 7 |
medical supplies | 7 |
associated coronavirus | 7 |
dna fingerprinting | 7 |
positive samples | 7 |
promising results | 7 |
emerging coordination | 7 |
hiv infection | 7 |
mediated immunity | 7 |
cynomolgus macaques | 7 |
nov gi | 7 |
including use | 7 |
poor people | 7 |
campylobacter infections | 7 |
paired serum | 7 |
geographic areas | 7 |
strains may | 7 |
ct values | 7 |
measures may | 7 |
shigella spp | 7 |
attenuated mumps | 7 |
life cycle | 7 |
young infants | 7 |
salmonella enterica | 7 |
igg antibodies | 7 |
wuhan city | 7 |
adult patients | 7 |
nicu outbreaks | 7 |
important factors | 7 |
civil society | 7 |
economic losses | 7 |
disease will | 7 |
convalescent phase | 7 |
influenza transmission | 7 |
fatality rates | 7 |
diarrhoeal disease | 7 |
extended spectrum | 7 |
behavior change | 7 |
cases generated | 7 |
disaster risk | 7 |
fi nd | 7 |
serum sample | 7 |
health risks | 7 |
cumulative number | 7 |
global outbreak | 7 |
retrospective cohort | 7 |
serum specimens | 7 |
current pandemic | 7 |
test kits | 7 |
temporal analysis | 7 |
animal disease | 7 |
handwash products | 7 |
data will | 7 |
chikungunya virus | 7 |
underlying medical | 7 |
time rt | 7 |
health experts | 7 |
diarrheal illnesses | 7 |
food insecurity | 7 |
initial investigation | 7 |
routine infection | 7 |
le guyader | 7 |
nosocomial sepsis | 7 |
bacterial infection | 7 |
immunization schedule | 7 |
well water | 7 |
associated transmission | 7 |
airborne route | 7 |
us government | 7 |
enteric virus | 7 |
interim guidance | 7 |
borne outbreaks | 7 |
significant number | 7 |
newborn nurseries | 7 |
large amounts | 7 |
last year | 7 |
limited data | 7 |
five countries | 7 |
young people | 7 |
treatment process | 7 |
gastroenteritis viruses | 7 |
water contamination | 7 |
dependent variable | 7 |
borne pathogens | 7 |
baseline data | 7 |
three weeks | 7 |
next day | 7 |
issues gpi | 7 |
pathogenic microorganisms | 7 |
mental disorder | 7 |
measures used | 7 |
novel sars | 7 |
quality control | 7 |
sodium hypochlorite | 7 |
locality i | 7 |
campylobacter infection | 7 |
ebola transmission | 7 |
information systems | 7 |
patients receiving | 7 |
fecal coliforms | 7 |
human rhinoviruses | 7 |
western africa | 7 |
current status | 7 |
source outbreak | 7 |
emergency medical | 7 |
home quarantine | 7 |
febrile respiratory | 7 |
health crises | 7 |
spatiotemporal analyses | 7 |
nucleocapsid protein | 7 |
predictive probability | 7 |
health significance | 7 |
common symptoms | 7 |
salt water | 7 |
major source | 7 |
affected countries | 7 |
air conditioners | 7 |
insertion site | 7 |
fold increase | 7 |
control nurse | 7 |
passive immunization | 7 |
patients developed | 7 |
table iii | 7 |
diseases caused | 7 |
hematopoietic stem | 7 |
sequences obtained | 7 |
control issues | 7 |
human monoclonal | 7 |
ongoing outbreak | 7 |
dotted line | 7 |
cellular immunity | 7 |
wet markets | 7 |
investigation will | 7 |
days due | 7 |
third trimester | 7 |
strong agreement | 7 |
pet dogs | 7 |
fi ed | 7 |
first month | 7 |
level disinfection | 7 |
acquired viral | 7 |
maternal antibodies | 7 |
borne diseases | 7 |
hospital staff | 7 |
health doi | 7 |
sars transmission | 7 |
intractable diarrhea | 7 |
infections within | 7 |
novel viruses | 7 |
high degree | 7 |
aberration detection | 7 |
circulating strains | 7 |
sensitivity analysis | 7 |
assessed using | 7 |
virus strain | 7 |
new information | 7 |
emerg infect | 7 |
elderly patients | 7 |
mucous membrane | 7 |
nursery associated | 7 |
large quantities | 7 |
time reverse | 7 |
protective environment | 7 |
national security | 7 |
parenteral nutrition | 7 |
marcescens infection | 7 |
health approach | 7 |
medical literature | 7 |
laboratory investigations | 7 |
disease may | 7 |
organic matter | 7 |
farrington algorithm | 7 |
sydney water | 7 |
next section | 7 |
glr poisson | 7 |
viral diseases | 7 |
chapter will | 7 |
distribution systems | 7 |
signifi cant | 7 |
million cases | 7 |
outbreak herd | 7 |
government oversight | 7 |
water utilities | 7 |
nosocomial rotavirus | 7 |
water distribution | 7 |
multiple sources | 7 |
diagnostic testing | 7 |
common cold | 7 |
effective infection | 7 |
relatively high | 7 |
fungal infection | 7 |
among young | 7 |
results show | 7 |
security council | 7 |
acute outbreaks | 7 |
epidemic intelligence | 7 |
bed closure | 7 |
coronavirus pneumonia | 7 |
confi dence | 7 |
human viruses | 7 |
region around | 7 |
quality improvement | 7 |
logistic model | 7 |
vaccine use | 7 |
breast pumps | 7 |
global economy | 7 |
one example | 7 |
will affect | 7 |
hadv infection | 7 |
transmission chains | 7 |
new strains | 7 |
healthy adults | 7 |
respiratory viral | 7 |
severe outbreak | 7 |
american cruise | 7 |
international response | 7 |
tweets containing | 7 |
important factor | 7 |
human mobility | 7 |
personal protection | 7 |
diarrheal diseases | 7 |
many different | 7 |
enteritis associated | 7 |
asymptomatic infections | 7 |
several weeks | 7 |
specimen container | 7 |
control professionals | 7 |
disaster management | 7 |
harvesting areas | 7 |
species barrier | 7 |
board utility | 7 |
host responses | 7 |
eastern countries | 7 |
transplant patients | 7 |
studies show | 7 |
gas outbreaks | 7 |
epidemic control | 7 |
exposed population | 7 |
densely populated | 7 |
inclusion criteria | 7 |
active infection | 7 |
hot water | 7 |
biological features | 7 |
measures implemented | 7 |
day holiday | 7 |
resistant klebsiella | 7 |
time point | 7 |
global trends | 7 |
microbiological investigations | 7 |
involving human | 7 |
neonatal shigellosis | 7 |
transmission risk | 7 |
epidemiological analysis | 7 |
target population | 7 |
risk attitude | 7 |
laboratory data | 7 |
discriminant analysis | 7 |
outbreaks among | 7 |
initial crew | 7 |
protection agency | 7 |
neonatal period | 7 |
news media | 7 |
first wave | 7 |
prevent spread | 7 |
disease among | 7 |
norovirus gastroenteritis | 7 |
spatial analysis | 7 |
eating contaminated | 7 |
related issues | 7 |
high dose | 7 |
healthcare systems | 7 |
better understand | 7 |
detailed differentiation | 7 |
first one | 7 |
randomized trial | 7 |
resistant pseudomonas | 7 |
tuberculosis among | 7 |
term infants | 7 |
active infections | 7 |
ward setting | 7 |
surgical intensive | 7 |
spread via | 7 |
norwegian pig | 7 |
causal agent | 7 |
nursery personnel | 7 |
vaccination campaign | 7 |
disease epidemic | 7 |
lgv outbreak | 7 |
health resources | 7 |
differential equations | 7 |
neonatal infection | 7 |
highly infectious | 7 |
human coronaviruses | 7 |
significant association | 7 |
based vaccine | 7 |
viruses causing | 7 |
communication channels | 7 |
care provider | 7 |
neonatal septicemia | 7 |
deliberate outbreak | 7 |
two categories | 7 |
cdc guidelines | 7 |
province level | 7 |
exit screening | 7 |
infection related | 7 |
awareness constant | 7 |
flint water | 7 |
disease due | 7 |
congenital rubella | 7 |
body temperature | 7 |
model including | 7 |
antonine plague | 7 |
important cause | 7 |
parameter values | 7 |
health agency | 7 |
heavy rainfall | 7 |
neonatal nosocomial | 7 |
epidemiological information | 7 |
investigation strategies | 7 |
previous reports | 7 |
sample collection | 7 |
quantitative data | 7 |
artificial fingernails | 7 |
atypical manifestations | 7 |
different outbreak | 7 |
modelling analysis | 7 |
hygienic practices | 7 |
washing hands | 7 |
virus glycoprotein | 7 |
gastroenteritis caused | 7 |
blood culture | 7 |
negative staphylococci | 7 |
rapid response | 7 |
novel influenza | 7 |
fit solution | 7 |
effective vaccine | 7 |
genomic data | 7 |
ebola emergency | 7 |
family member | 7 |
comprehensive educational | 7 |
prevent contamination | 7 |
information sources | 7 |
generalization ability | 7 |
two scenarios | 7 |
last two | 7 |
ill neonates | 7 |
using twitter | 7 |
demographic characteristics | 7 |
model using | 7 |
american college | 7 |
generally considered | 7 |
continuing medical | 6 |
current knowledge | 6 |
risk patients | 6 |
ml models | 6 |
many ways | 6 |
acinetobacter outbreaks | 6 |
pig population | 6 |
longterm care | 6 |
room temperature | 6 |
outbreak situations | 6 |
control measure | 6 |
findings indicate | 6 |
river water | 6 |
new zealand | 6 |
case history | 6 |
work environment | 6 |
seriously ill | 6 |
intravascular catheter | 6 |
linear regression | 6 |
related illness | 6 |
site investigation | 6 |
medical department | 6 |
birthweight infants | 6 |
molecular biology | 6 |
related outbreak | 6 |
natural epidemic | 6 |
new disease | 6 |
may allow | 6 |
first cases | 6 |
agents may | 6 |
transmission route | 6 |
liver abscess | 6 |
large scale | 6 |
outbreak lasted | 6 |
lens may | 6 |
pilot study | 6 |
epidemic among | 6 |
cell count | 6 |
traditional media | 6 |
hmpv infections | 6 |
gi consultations | 6 |
evaluating public | 6 |
clostridium botulinum | 6 |
wgs data | 6 |
respiratory specimens | 6 |
medical education | 6 |
risk groups | 6 |
virulence plasmid | 6 |
salmonella meningitis | 6 |
found positive | 6 |
ent hrv | 6 |
theoretical model | 6 |
usually associated | 6 |
fecally contaminated | 6 |
public holiday | 6 |
potential source | 6 |
resistance genes | 6 |
medical research | 6 |
normal flora | 6 |
prospective studies | 6 |
commonly associated | 6 |
months old | 6 |
assessment tool | 6 |
difficile infections | 6 |
comparative efficacy | 6 |
several reports | 6 |
individuals may | 6 |
medical practitioners | 6 |
geographical area | 6 |
clinical laboratory | 6 |
interval reduction | 6 |
enteric illness | 6 |
exposure period | 6 |
aboard ships | 6 |
prairie dogs | 6 |
marcescens infections | 6 |
genome editing | 6 |
gastrointestinal diseases | 6 |
peripheral blood | 6 |
positive airway | 6 |
zoonotic viruses | 6 |
experimental inoculation | 6 |
mouse model | 6 |
diseases associated | 6 |
patients presenting | 6 |
septic shock | 6 |
among hcws | 6 |
measures taken | 6 |
disease agents | 6 |
serial interval | 6 |
aggregate data | 6 |
table shows | 6 |
first day | 6 |
disease complex | 6 |
infants younger | 6 |
outbreak database | 6 |
one week | 6 |
outbreak start | 6 |
health responses | 6 |
next pandemic | 6 |
human services | 6 |
prolonged shedding | 6 |
north carolina | 6 |
systems will | 6 |
information modeling | 6 |
recent mumps | 6 |
diseases manual | 6 |
case scenario | 6 |
stress levels | 6 |
mathematical model | 6 |
human pathogenic | 6 |
old male | 6 |
data analytics | 6 |
lumbar puncture | 6 |
sccs analysis | 6 |
early phase | 6 |
suspected food | 6 |