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 |
---|---|
healthcare workers | 507 |
health care | 241 |
healthcare facilities | 241 |
mental health | 189 |
healthcare professionals | 158 |
public health | 126 |
protective equipment | 109 |
healthcare services | 107 |
systematic review | 94 |
personal protective | 92 |
psychological resilience | 83 |
healthcare system | 80 |
intensive care | 66 |
infection control | 64 |
general public | 60 |
healthcare systems | 57 |
wearable devices | 55 |
infection prevention | 55 |
health services | 53 |
hand hygiene | 52 |
healthcare wearable | 50 |
associated infections | 49 |
healthcare service | 48 |
infectious diseases | 47 |
care workers | 47 |
technology acceptance | 45 |
coronavirus disease | 45 |
care facilities | 45 |
staphylococcus aureus | 45 |
risk factors | 44 |
acute respiratory | 44 |
universal health | 43 |
respiratory syndrome | 43 |
health information | 43 |
actual use | 42 |
health coverage | 42 |
healthcare facility | 41 |
privacy concerns | 41 |
among healthcare | 39 |
cord uid | 39 |
severe acute | 39 |
doc id | 39 |
use intention | 38 |
world health | 37 |
healthcare settings | 36 |
healthcare personnel | 36 |
waste management | 35 |
hydrogen peroxide | 35 |
social media | 35 |
access control | 35 |
data collection | 33 |
patient care | 33 |
care unit | 33 |
healthcare providers | 32 |
information technology | 32 |
data sharing | 32 |
novel coronavirus | 32 |
united states | 31 |
health service | 31 |
health organization | 31 |
infectious disease | 31 |
supply chain | 31 |
use behavior | 30 |
resistant staphylococcus | 30 |
health improvement | 30 |
occupational health | 30 |
privacy concern | 29 |
studies reported | 29 |
literature review | 29 |
frontline healthcare | 29 |
health problems | 28 |
medical personnel | 28 |
environmental cleaning | 28 |
mean value | 27 |
patient safety | 27 |
peer review | 27 |
systematic reviews | 27 |
electronic health | 27 |
statistical analysis | 26 |
healthcare worker | 26 |
service providers | 26 |
information systems | 26 |
strongly agreed | 26 |
environmental surfaces | 25 |
psychological impact | 25 |
healthcare environment | 25 |
improvement expectancy | 25 |
infectious agents | 24 |
relationship management | 24 |
continuous use | 24 |
medical staff | 24 |
version posted | 23 |
copyright holder | 23 |
sectional study | 23 |
ehr systems | 23 |
care units | 23 |
big data | 23 |
author funder | 23 |
granted medrxiv | 23 |
customer relationship | 22 |
present study | 22 |
posted july | 22 |
healthcare delivery | 22 |
high risk | 21 |
acute care | 21 |
disease control | 21 |
workplace violence | 21 |
acceptance model | 20 |
optimization models | 20 |
nosocomial infections | 20 |
emerging issues | 20 |
quality care | 20 |
health system | 20 |
health management | 19 |
nursing homes | 19 |
climate change | 19 |
suitable sites | 19 |
health records | 19 |
decision making | 19 |
statistically significant | 19 |
contact tracing | 18 |
surgical site | 18 |
family members | 18 |
social support | 18 |
health professionals | 18 |
medical services | 18 |
antimicrobial stewardship | 18 |
case study | 18 |
rights reserved | 18 |
may also | 18 |
life satisfaction | 18 |
service provider | 17 |
wearable device | 17 |
travel time | 17 |
healthcare professional | 17 |
medrxiv preprint | 17 |
developing countries | 17 |
healthcare staff | 17 |
healthcare accessibility | 17 |
critical care | 17 |
care services | 17 |
contact precautions | 17 |
service delivery | 17 |
perceived usefulness | 17 |
pandemic influenza | 17 |
two studies | 17 |
study also | 16 |
tract infections | 16 |
crm implementation | 16 |
care providers | 16 |
urinary tract | 16 |
social distancing | 16 |
reuse allowed | 16 |
body fluids | 16 |
antimicrobial resistance | 16 |
national documents | 16 |
without permission | 16 |
health record | 16 |
information system | 16 |
health workers | 16 |
face masks | 16 |
allowed without | 16 |
selected studies | 15 |
smart contract | 15 |
healthcare data | 15 |
control strategies | 15 |
medical college | 15 |
perceived ease | 15 |
health outcomes | 15 |
pilot study | 15 |
national level | 15 |
health facilities | 15 |
objective functions | 15 |
frontline workers | 15 |
health systems | 15 |
medical waste | 15 |
new healthcare | 15 |
factors affecting | 15 |
catchment area | 15 |
healthcare resources | 14 |
new technologies | 14 |
methodological quality | 14 |
personal information | 14 |
respiratory tract | 14 |
political issues | 14 |
structural equation | 14 |
data analysis | 14 |
community transmission | 14 |
associated pneumonia | 14 |
eye protection | 14 |
occupational safety | 14 |
acinetobacter baumannii | 14 |
virtual healthcare | 13 |
murshidabad district | 13 |
global supply | 13 |
medical care | 13 |
ppe shortage | 13 |
medical records | 13 |
systematic literature | 13 |
provide ppe | 13 |
control practices | 13 |
bloodstream infections | 13 |
lab coats | 13 |
general hospital | 13 |
two groups | 13 |
one study | 13 |
large number | 13 |
immediate emerging | 13 |
healthcare organizations | 13 |
care settings | 13 |
rapid systematic | 13 |
research model | 13 |
health issues | 13 |
care hospitals | 13 |
devices apps | 12 |
healthcare industry | 12 |
patient satisfaction | 12 |
sustainable development | 12 |
electronic medical | 12 |
disease outbreak | 12 |
risk assessment | 12 |
spatial accessibility | 12 |
new health | 12 |
healthcare provision | 12 |
site suitability | 12 |
federal government | 12 |
healthcare wearables | 12 |
monitoring tool | 12 |
standard precautions | 12 |
authors declare | 12 |
infected patients | 12 |
healthcare chatbots | 12 |
decision variables | 12 |
hospitalized patients | 12 |
included studies | 12 |
widely used | 12 |
current covid | 12 |
clostridium difficile | 12 |
new technology | 12 |
surgical masks | 11 |
bacterial contamination | 11 |
social factors | 11 |
land use | 11 |
ohs hazards | 11 |
previous studies | 11 |
site infections | 11 |
district medical | 11 |
ebola virus | 11 |
health status | 11 |
blockchain network | 11 |
critical appraisal | 11 |
wide range | 11 |
sensitive data | 11 |
socioeconomic issues | 11 |
respondents strongly | 11 |
health sector | 11 |
least one | 11 |
healthcare sector | 11 |
central line | 11 |
current study | 11 |
suitable site | 11 |
associated urinary | 11 |
health interventions | 11 |
based healthcare | 11 |
risk factor | 11 |
confirmed cases | 11 |
behavioral intention | 11 |
live map | 11 |
sleep problems | 11 |
regression analysis | 11 |
psychological distress | 11 |
positive association | 11 |
national health | 11 |
personal health | 11 |
among health | 11 |
healthcare information | 11 |
direct contact | 11 |
control mechanism | 11 |
surgical mask | 11 |
healthcare institutions | 11 |
available online | 11 |
stress disorder | 10 |
medical professionals | 10 |
pseudomonas aeruginosa | 10 |
control measures | 10 |
supply chains | 10 |
making approach | 10 |
health policy | 10 |
public authorities | 10 |
cloud computing | 10 |
medical equipment | 10 |
nosocomial infection | 10 |
side effects | 10 |
care hospital | 10 |
syndrome coronavirus | 10 |
natural disasters | 10 |
another study | 10 |
medical facilities | 10 |
inaccessible areas | 10 |
high quality | 10 |
technological factors | 10 |
global health | 10 |
will need | 10 |
study found | 10 |
environmental contamination | 10 |
health promotion | 10 |
healthcare management | 10 |
iot devices | 10 |
hand washing | 10 |
medical devices | 10 |
quality healthcare | 10 |
study conducted | 10 |
negative emotions | 10 |
medical association | 10 |
disease outbreaks | 10 |
sars outbreak | 10 |
touch surfaces | 10 |
nursing staff | 10 |
negative impact | 10 |
advisory committee | 10 |
isolation precautions | 10 |
crm research | 10 |
health impacts | 10 |
term care | 10 |
klebsiella pneumoniae | 10 |
face shields | 9 |
public key | 9 |
infection preventionists | 9 |
control guidelines | 9 |
protective clothing | 9 |
also found | 9 |
real identity | 9 |
adverse events | 9 |
development goals | 9 |
accessibility index | 9 |
acinetobacter spp | 9 |
treat patients | 9 |
information privacy | 9 |
disaster risk | 9 |
user acceptance | 9 |
healthcare epidemiology | 9 |
health conditions | 9 |
external factors | 9 |
becoming infected | 9 |
positive patients | 9 |
medical institution | 9 |
suitability analysis | 9 |
acquired infections | 9 |
positively loaded | 9 |
determine whether | 9 |
psychological status | 9 |
water supply | 9 |
third parties | 9 |
care service | 9 |
occupational hazards | 9 |
edge computing | 9 |
existing healthcare | 9 |
implementing crms | 9 |
tertiary care | 9 |
hybrid decision | 9 |
national infection | 9 |
health data | 9 |
hash value | 9 |
health department | 9 |
study reported | 9 |
healthcare managers | 9 |
virus disease | 9 |
significantly predicted | 9 |
diseases society | 9 |
healthcare devices | 9 |
national healthcare | 9 |
use cases | 9 |
global documents | 9 |
sample size | 9 |
precautionary measures | 9 |
crm systems | 9 |
environmental health | 9 |
health emergency | 9 |
pediatric patients | 9 |
healthcare safety | 9 |
disease prevention | 9 |
workers reported | 9 |
i will | 9 |
health insurance | 9 |
primary health | 9 |
ghci values | 9 |
neonatal intensive | 9 |
general population | 9 |
empirical study | 9 |
data storage | 9 |
monitoring wash | 9 |
healthcare applications | 9 |
providing care | 9 |
associated pathogens | 9 |
will continue | 9 |
life expectancy | 9 |
preventing transmission | 9 |
positive emotions | 9 |
many studies | 9 |
six studies | 9 |
increased risk | 9 |
ehr system | 9 |
safety network | 9 |
factors associated | 9 |
tract infection | 9 |
hospital environment | 9 |
care facility | 9 |
health centers | 9 |
descriptive statistics | 8 |
infection rates | 8 |
collected data | 8 |
use behaviors | 8 |
privacy curtains | 8 |
critically ill | 8 |
psychosocial hazards | 8 |
service provision | 8 |
negative affect | 8 |
better service | 8 |
medical informatics | 8 |
behavioral constructs | 8 |
global pandemic | 8 |
healthcare infection | 8 |
based crm | 8 |
risks associated | 8 |
contaminated surfaces | 8 |
microbial contamination | 8 |
studies using | 8 |
two researchers | 8 |
fit indices | 8 |
acute neurological | 8 |
machine learning | 8 |
health impact | 8 |
actual behavior | 8 |
protect healthcare | 8 |
study area | 8 |
ensuring access | 8 |
gdp pc | 8 |
potentially infectious | 8 |
risk reduction | 8 |
patient contact | 8 |
domestic product | 8 |
scarce resources | 8 |
new york | 8 |
prevalence survey | 8 |
infection risks | 8 |
infections among | 8 |
low methodological | 8 |
blockchain technology | 8 |
higher risk | 8 |
medical staffs | 8 |
practices advisory | 8 |
floating catchment | 8 |
developed countries | 8 |
primary care | 8 |
antibiotic resistance | 8 |
use intentions | 8 |
supplementary material | 8 |
relative accessibility | 8 |
medical supplies | 8 |
higher levels | 8 |
perceived utility | 8 |
measurement items | 8 |
several studies | 8 |
gross domestic | 8 |
future research | 8 |
code stroke | 8 |
civil disruptions | 8 |
higher accessibility | 8 |
social care | 8 |
income countries | 8 |
medical record | 8 |
blood pressure | 8 |
euclidean distance | 8 |
care personnel | 8 |
health solutions | 8 |
adopting crms | 8 |
user experience | 8 |
artificial intelligence | 8 |
influenza pandemic | 8 |
hospital staff | 7 |
resistant acinetobacter | 7 |
achieving quality | 7 |
equation modeling | 7 |
short term | 7 |
peroxide vapor | 7 |
million people | 7 |
health administration | 7 |
resistant enterococci | 7 |
hybrid model | 7 |
immunodeficiency virus | 7 |
infectious patients | 7 |
antimicrobial activity | 7 |
using blockchain | 7 |
also reported | 7 |
nhs constitution | 7 |
current pandemic | 7 |
reuptake inhibitors | 7 |
total number | 7 |
ill patients | 7 |
network analysis | 7 |
adequate ppe | 7 |
political ecology | 7 |
monitoring tools | 7 |
data analytics | 7 |
qualitative study | 7 |
without ppe | 7 |
staff members | 7 |
identified references | 7 |
negative mental | 7 |
symmetric key | 7 |
significant association | 7 |
may result | 7 |
land cover | 7 |
nhs managers | 7 |
endovascular treatment | 7 |
cardiac surgery | 7 |
existing literature | 7 |
among medical | 7 |
sharing data | 7 |
associated bloodstream | 7 |
save lives | 7 |
selection process | 7 |
many countries | 7 |
west bengal | 7 |
disaster preparedness | 7 |
best practice | 7 |
key factors | 7 |
linear combination | 7 |
psychiatric care | 7 |
healthcare centres | 7 |
health monitoring | 7 |
issues gpi | 7 |
south korea | 7 |
hospital setting | 7 |
ideal best | 7 |
even though | 7 |
achieving universal | 7 |
treating patients | 7 |
operating room | 7 |
statistically significantly | 7 |
social crm | 7 |
site infection | 7 |
ipc program | 7 |
access policies | 7 |
urban areas | 7 |
qualitative studies | 7 |
distributive justice | 7 |
poor people | 7 |
positive effect | 7 |
psychological stress | 7 |
mg day | 7 |
remote healthcare | 7 |
research categories | 7 |
crisis management | 7 |
medical gloves | 7 |
planned behavior | 7 |
study revealed | 7 |
affective state | 7 |
generating procedures | 7 |
research interests | 7 |
physical violence | 7 |
human immunodeficiency | 7 |
biological hazards | 7 |
management system | 7 |
internal factors | 7 |
care costs | 7 |
among different | 7 |
based access | 7 |
central venous | 7 |
serratia marcescens | 7 |
emergency departments | 7 |
lessons learned | 7 |
psychiatric symptoms | 7 |
help healthcare | 7 |
remote health | 7 |
exposure without | 7 |
medical workers | 7 |
public healthcare | 7 |
people will | 7 |
legal obligations | 7 |
digital health | 7 |
factor analysis | 7 |
health crisis | 7 |
preferred reporting | 6 |
hand rub | 6 |
neurological symptoms | 6 |
three main | 6 |
outbreak period | 6 |
based hand | 6 |
linked healthcare | 6 |
research questions | 6 |
issues iei | 6 |
pathogens associated | 6 |
crms adoption | 6 |
infection risk | 6 |
uv light | 6 |
bloodstream infection | 6 |
psychiatry residents | 6 |
equal access | 6 |
economic issues | 6 |
prevention strategy | 6 |
different healthcare | 6 |
resource allocation | 6 |
conceptual model | 6 |
step calculate | 6 |
ergonomic hazards | 6 |
secure data | 6 |
different types | 6 |
use land | 6 |
wearables apps | 6 |
blockchain based | 6 |
posttraumatic stress | 6 |
will create | 6 |
many healthcare | 6 |
kapb model | 6 |
unique identity | 6 |
traumatic stress | 6 |
working environment | 6 |
virus outbreak | 6 |
public hospitals | 6 |
resistant organisms | 6 |
crm system | 6 |
perceived social | 6 |
pandemic date | 6 |
reporting items | 6 |
financial relationships | 6 |
eligibility criteria | 6 |
relevant studies | 6 |
service provisioning | 6 |
fragile healthcare | 6 |
objective function | 6 |
error recovery | 6 |
protective measures | 6 |
medical resources | 6 |
using aadhaar | 6 |
growing number | 6 |
significant positive | 6 |
technology adoption | 6 |
prevalence rates | 6 |
engineering control | 6 |
sars patients | 6 |
emergency department | 6 |
optimization model | 6 |
ppe use | 6 |
online services | 6 |
first step | 6 |
care patients | 6 |
countries considered | 6 |
authorized users | 6 |
inanimate surfaces | 6 |
mitigation strategy | 6 |
service quality | 6 |
studies carried | 6 |
behavioral intentions | 6 |
workers exposed | 6 |
aadhaar linked | 6 |
professionals working | 6 |
per capita | 6 |
healthcare provider | 6 |
based precautions | 6 |
cystic fibrosis | 6 |
profit motive | 6 |
population health | 6 |
last accessed | 6 |
wearable technology | 6 |
core questions | 6 |
continue working | 6 |
safe water | 6 |
frontline staff | 6 |
birth weight | 6 |
antimicrobial surfaces | 6 |
hospital workers | 6 |
cloud servers | 6 |
kenya health | 6 |
cohort study | 6 |
seven days | 6 |
peritoneal dialysis | 6 |
factors influencing | 6 |
towards healthcare | 6 |
geographical information | 6 |
interests include | 6 |
point likert | 6 |
prevent transmission | 6 |
safety risks | 6 |
mucous membranes | 6 |
medical institutions | 6 |
content analysis | 6 |
unprotected exposures | 6 |
escherichia coli | 6 |
results showed | 6 |
herd immunity | 6 |
data will | 6 |
severe disease | 6 |
public ledger | 6 |
many people | 6 |
related information | 6 |
positive outcomes | 6 |
conference proceedings | 6 |
psychological support | 6 |
hospital infection | 6 |
also help | 6 |
mobile devices | 6 |
years old | 6 |
sodium hypochlorite | 6 |
candida spp | 6 |
collegial support | 6 |
support personnel | 6 |
disaster management | 6 |
negative bacteria | 6 |
developed nations | 6 |
ethical approval | 6 |
accountability act | 6 |
better health | 6 |
environmental conditions | 6 |
medical data | 6 |
collect data | 6 |
venous catheters | 6 |
wash infrastructure | 6 |
hospital stay | 6 |
coping strategies | 6 |
informed consent | 6 |
health risks | 6 |
level documents | 6 |
loved ones | 6 |
insurance portability | 6 |
fit index | 6 |
scrub suits | 6 |
accessed march | 6 |
waiting times | 6 |
practical steps | 6 |
audit log | 6 |
stewardship programs | 6 |
coronavirus pneumonia | 6 |
submitted work | 6 |
weighted linear | 6 |
will increase | 6 |
low latency | 6 |
influenza vaccination | 6 |
studies indicate | 5 |
hospital healthcare | 5 |
production act | 5 |
discriminant validity | 5 |
financial support | 5 |
services will | 5 |
water services | 5 |
comparative analysis | 5 |
path network | 5 |
direct patient | 5 |
health issue | 5 |
belief model | 5 |
government officials | 5 |
study aimed | 5 |
recent study | 5 |
likert scale | 5 |
every five | 5 |
close contacts | 5 |
private blockchain | 5 |
preventive measures | 5 |
antimicrobial agents | 5 |
related diseases | 5 |
will provide | 5 |
provide better | 5 |
risk patients | 5 |
emergency preparedness | 5 |
documents mentioned | 5 |
antimicrobial use | 5 |
infections associated | 5 |
lower respiratory | 5 |
allocating new | 5 |
resistant pathogens | 5 |
daily basis | 5 |
medical students | 5 |
highest risk | 5 |
clinical outcomes | 5 |
negative affective | 5 |
outpatient clinics | 5 |
proposed model | 5 |
pediatric infectious | 5 |
management services | 5 |
nosocomial pathogens | 5 |
new block | 5 |
health belief | 5 |
workers also | 5 |
based approach | 5 |
service centre | 5 |
risk mitigation | 5 |
puerperal sepsis | 5 |
level disinfection | 5 |
convergent validity | 5 |
relevant documents | 5 |
online database | 5 |
surgical procedures | 5 |
online survey | 5 |
defense production | 5 |
quality service | 5 |
professional help | 5 |
pandemic response | 5 |
path coefficients | 5 |
colorectal surgery | 5 |
american academy | 5 |
among people | 5 |
privacy related | 5 |
clinical practice | 5 |
ppe procurement | 5 |
respiratory viruses | 5 |
ventilator days | 5 |
ideal solution | 5 |
analysis showed | 5 |
user input | 5 |
prevalence data | 5 |
sleep quality | 5 |
individual psychopathology | 5 |
ambulatory settings | 5 |
hospital settings | 5 |
burkholderia cepacia | 5 |
study aims | 5 |
resilience scale | 5 |
acinetobacter species | 5 |
immune response | 5 |
public reporting | 5 |
inclusion criteria | 5 |
healthcare application | 5 |
based signature | 5 |
future healthcare | 5 |
two different | 5 |
research literature | 5 |
health technology | 5 |
invasive candidiasis | 5 |
system using | 5 |
health center | 5 |
geographic information | 5 |
healthcare epidemiologist | 5 |
unicef joint | 5 |
immune system | 5 |
casp checklist | 5 |
longitudinal studies | 5 |
commonly used | 5 |
nurse staffing | 5 |
health england | 5 |
quality health | 5 |
health personnel | 5 |
public sector | 5 |
first week | 5 |
corona virus | 5 |
peroxide vapour | 5 |
negative bacilli | 5 |
rapid review | 5 |
health emergencies | 5 |
shortest path | 5 |
psychological care | 5 |
positive outcome | 5 |
ppe inventories | 5 |
research opportunities | 5 |
economic burden | 5 |
vulnerable groups | 5 |
optimum values | 5 |
following exposure | 5 |
criteria decision | 5 |
large amounts | 5 |
anxiety among | 5 |
hospital stays | 5 |
sensor data | 5 |
respiratory infections | 5 |
european union | 5 |
emergency physicians | 5 |
us will | 5 |
including healthcare | 5 |
wash services | 5 |
utilitarian approach | 5 |
nan doi | 5 |
monitoring program | 5 |
workers may | 5 |
disparate data | 5 |
private sector | 5 |
health consequences | 5 |
white coats | 5 |
user data | 5 |
following hypotheses | 5 |
provide healthcare | 5 |
measurement model | 5 |
health education | 5 |
prolonged crisis | 5 |
hygiene services | 5 |
feasible values | 5 |
residential areas | 5 |
information sources | 5 |
resilience factors | 5 |
base stations | 5 |
national survey | 5 |
covid pandemic | 5 |
five healthcare | 5 |
occupational exposure | 5 |
safe system | 5 |
healthcare practitioners | 5 |
nosocomial transmission | 5 |
associated hypotheses | 5 |
raw materials | 5 |
infectious waste | 5 |
enduring emerging | 5 |
search strategy | 5 |
health devices | 5 |
decision support | 5 |
significant number | 5 |
close contact | 5 |
formal education | 5 |
ideal worst | 5 |
medical service | 5 |
outpatient settings | 5 |
health officials | 5 |
data privacy | 5 |
will help | 5 |
joint monitoring | 5 |
particular interest | 5 |
studies related | 5 |
joint commission | 5 |
important factor | 5 |
improving quality | 5 |
chinese medical | 5 |
best site | 5 |
healthcare centre | 5 |
workers will | 5 |
syndrome outbreak | 5 |
data leakage | 5 |
hai rates | 5 |
microbiology laboratory | 5 |
customer satisfaction | 5 |
us hospitals | 5 |
antimicrobial coatings | 5 |
organizational support | 5 |
respiratory symptoms | 5 |
one patient | 5 |
see also | 5 |
hygiene facilities | 5 |
resistant gram | 5 |
privacy preserving | 5 |
linear regression | 5 |
outcomes among | 5 |
healthcare ethics | 5 |
moderate positively | 5 |
reduce mental | 5 |
reasoned action | 5 |
work shift | 5 |
results obtained | 5 |
saharan africa | 5 |
healthcare infrastructure | 5 |
nine studies | 5 |
norwegian institute | 5 |
smart contracts | 5 |
getting infected | 5 |
clinicians will | 5 |
sars epidemic | 5 |
economic times | 5 |
musculoskeletal disorders | 5 |
brief description | 5 |
patient rooms | 5 |
health challenges | 5 |
partial lockdown | 5 |
human resources | 5 |
using healthcare | 5 |
resilience levels | 5 |
protecting health | 5 |
risk communication | 5 |
psychological effects | 5 |
may lead | 5 |
extracted data | 5 |
psychological problems | 5 |
ghci score | 5 |
prolonged periods | 5 |
inexperienced workers | 4 |
psychological intervention | 4 |
dog institute | 4 |
individual complaints | 4 |
significant relationship | 4 |
resistant enterobacteriaceae | 4 |
appropriate protective | 4 |
health behaviors | 4 |
journal pre | 4 |
apparel worn | 4 |
sensitivity analysis | 4 |
individual patients | 4 |
step floating | 4 |
adverse drug | 4 |
immunocompromised patients | 4 |
ipc practices | 4 |
psychological reports | 4 |
factor loadings | 4 |
global commitments | 4 |
work environment | 4 |
health agencies | 4 |
controllability auditability | 4 |
tertiary general | 4 |
global patient | 4 |
privacy anonymity | 4 |
based solutions | 4 |
immunological tests | 4 |
also highlighted | 4 |
also revealed | 4 |
patients without | 4 |
full personal | 4 |
icu beds | 4 |
pediatric healthcare | 4 |
essential ppe | 4 |
paradigm shift | 4 |
water quality | 4 |
sibling visitation | 4 |
care act | 4 |
east respiratory | 4 |
data security | 4 |
anonymity integrity | 4 |
special wards | 4 |
text screening | 4 |
crm model | 4 |
study design | 4 |
psychiatric hospitals | 4 |
digital healthcare | 4 |
endotracheal intubation | 4 |
healthcare epidemiologists | 4 |
legal issues | 4 |
epidemic outbreak | 4 |
symmetric encryption | 4 |
three studies | 4 |
patient experience | 4 |
existing health | 4 |
pediatric oncology | 4 |
private hospitals | 4 |
resources available | 4 |
may become | 4 |
bangladesh due | 4 |
puerperal fever | 4 |
resilience level | 4 |
healthcare waste | 4 |
recent literature | 4 |
sleeping problems | 4 |
chain management | 4 |
recent years | 4 |
ghci scores | 4 |
rapid spread | 4 |
disorders among | 4 |
disease treatment | 4 |
ai interaction | 4 |
often preferred | 4 |
respiratory droplets | 4 |
empirical data | 4 |
rural healthcare | 4 |
support system | 4 |
depressive symptoms | 4 |
lancet psychiatry | 4 |
black dog | 4 |
stewardship program | 4 |
pandemic among | 4 |
just one | 4 |
infectious material | 4 |
studies included | 4 |
chemical hazards | 4 |
main research | 4 |
health variables | 4 |
job satisfaction | 4 |
may require | 4 |
serotonin reuptake | 4 |
potential conflict | 4 |
casualty incidents | 4 |
grained access | 4 |
reported depression | 4 |
low birth | 4 |
manage crises | 4 |
testing facilities | 4 |
influenza vaccine | 4 |
disease transmission | 4 |
reported exposure | 4 |
essential environmental | 4 |
studies based | 4 |
table shows | 4 |
emergency response | 4 |
within days | 4 |
family member | 4 |
running water | 4 |
delivering patient | 4 |
prospective study | 4 |
fever clinic | 4 |
middle east | 4 |
candida infections | 4 |
service levels | 4 |
acquired pneumonia | 4 |
individuals may | 4 |
care system | 4 |
waterproof apron | 4 |
negative organisms | 4 |
paper security | 4 |
major depressive | 4 |
safety hazards | 4 |
healthcare centers | 4 |
healthcare needs | 4 |
special considerations | 4 |
waiting time | 4 |
become infected | 4 |
see table | 4 |
will result | 4 |
cost savings | 4 |
private healthcare | 4 |
cardiovascular diseases | 4 |
monitoring using | 4 |
higher respirator | 4 |
patients suffering | 4 |
pandemic situation | 4 |
outbreak mental | 4 |
healthcare associated | 4 |
positive affect | 4 |
research directions | 4 |
long waiting | 4 |
workers might | 4 |
reducing negative | 4 |
multiple studies | 4 |
intensity narrow | 4 |
facilitating access | 4 |
accessibility value | 4 |
find suitable | 4 |
equation model | 4 |
microbial pathogens | 4 |
hong kong | 4 |
policy makers | 4 |
health careassociated | 4 |
rapid growth | 4 |
respondents agreed | 4 |
smartphone apps | 4 |
health centres | 4 |
table paper | 4 |
confirmed case | 4 |
healthcare textiles | 4 |
health expenditure | 4 |
health informatics | 4 |
increasing number | 4 |
selective serotonin | 4 |
particle aerosols | 4 |
system will | 4 |
may reduce | 4 |
commonly reported | 4 |
educational interventions | 4 |
will require | 4 |
environmental crisis | 4 |
affect actual | 4 |
confirmed covid | 4 |
potential sources | 4 |
transaction record | 4 |
positive cases | 4 |
information regarding | 4 |
human services | 4 |
health departments | 4 |
spatial distribution | 4 |
little evidence | 4 |
small cell | 4 |
national stockpile | 4 |
worst value | 4 |
block size | 4 |
extremely high | 4 |
sendai framework | 4 |
study proposed | 4 |
study results | 4 |
workers face | 4 |
travel impedance | 4 |
european countries | 4 |
important role | 4 |
authentication controllability | 4 |
global healthcare | 4 |
provide guidance | 4 |
significant influence | 4 |
improve quality | 4 |
health coaching | 4 |
future studies | 4 |
three qualitative | 4 |
type scale | 4 |
key components | 4 |
telehealth platforms | 4 |
auditability accountability | 4 |
without respiratory | 4 |
county level | 4 |
spectrum light | 4 |
ebola outbreak | 4 |
evidence synthesis | 4 |
likert type | 4 |
ghci value | 4 |
crucial role | 4 |
data owner | 4 |
healthcare setting | 4 |
timely manner | 4 |
healthcareassociated infections | 4 |
availing healthcare | 4 |
associated infection | 4 |
individual strategies | 4 |
internet users | 4 |
kap model | 4 |
confirmed sars | 4 |
providing ppe | 4 |
neuroinvasive potential | 4 |
practical exercises | 4 |
will lose | 4 |
kernel density | 4 |
empirical research | 4 |
internal consistency | 4 |
information provided | 4 |
psychological needs | 4 |
iranian psychiatric | 4 |
based remote | 4 |
internal reliability | 4 |
diagnostic testing | 4 |
health related | 4 |
china psychological | 4 |
local health | 4 |
health behavior | 4 |
budgeting model | 4 |
medical school | 4 |
depressive disorder | 4 |
age group | 4 |
one researcher | 4 |
using grade | 4 |
passing model | 4 |
sectional studies | 4 |
management systems | 4 |
test kits | 4 |
ppe shortages | 4 |
kisumu county | 4 |
one day | 4 |
personal hygiene | 4 |
hepatic impairment | 4 |
positive impact | 4 |
health standards | 4 |
response team | 4 |
environmental factors | 4 |
acquired infection | 4 |
record systems | 4 |
controlled trial | 4 |
intraocular pressure | 4 |
incentive mechanism | 4 |
demographic variables | 4 |
reliable information | 4 |
decision factors | 4 |
british medical | 4 |
factors among | 4 |
acute ischemic | 4 |
felt unprepared | 4 |
also identified | 4 |
conversational agents | 4 |
regular basis | 4 |
practical guide | 4 |
hazardous materials | 4 |
interventions aimed | 4 |
stream infections | 4 |
contributing factors | 4 |
face shield | 4 |
control right | 4 |
ethical issues | 4 |
medical university | 4 |
free text | 4 |
issues sei | 4 |
weak positively | 4 |
health act | 4 |
better protect | 4 |
physical hazards | 4 |
social influence | 4 |
tested positive | 4 |
case report | 4 |
utaut model | 4 |
institutional arrangements | 4 |
public perception | 4 |
systems requirements | 4 |
made available | 4 |
mobile health | 4 |
geographical accessibility | 4 |
use product | 4 |
quality patient | 4 |
researchers independently | 4 |
us healthcare | 4 |
two systematic | 4 |
health chatbots | 4 |
identified healthcare | 4 |
study prevalence | 4 |
also framed | 4 |
short time | 4 |
hospital laundry | 4 |
staff mental | 4 |
encryption key | 4 |
healthcare records | 4 |
drug administration | 4 |
among others | 4 |
using gis | 4 |
health studies | 4 |
terminal cleaning | 4 |
another important | 4 |
drug resistance | 4 |
travel cost | 4 |
safety challenge | 4 |
airborne transmission | 4 |
medium size | 4 |
accurate information | 4 |
lower psychological | 4 |
respondents reported | 4 |
key factor | 4 |
encrypted data | 4 |
health theory | 4 |
patient ratio | 4 |
quality assessment | 4 |
whisker plots | 4 |
unified theory | 4 |
conceptual framework | 4 |
white paper | 4 |
trusted sources | 4 |
perceived organizational | 4 |
hospital cleaning | 4 |
recent outbreak | 4 |
integrity authentication | 4 |
part i | 4 |
patient monitoring | 4 |
engineering controls | 4 |
desirability optimization | 4 |
patients due | 4 |
point scale | 4 |
somatic symptoms | 4 |
weight gain | 4 |
urgent need | 4 |
viral outbreaks | 4 |
sectional survey | 4 |
extant literature | 4 |
vital role | 4 |
published studies | 4 |
american medical | 4 |
services using | 4 |
hospital epidemiology | 4 |
antimicrobial properties | 4 |
preparedness planning | 4 |
summary estimate | 4 |
standardized path | 4 |
health symptoms | 4 |
may include | 4 |
healthcare policy | 4 |
indoor environments | 4 |
insurance companies | 4 |
new delhi | 4 |
mucosal barrier | 4 |
ischemic stroke | 4 |
towards ensuring | 4 |
drug interactions | 4 |
medical centres | 4 |
artificial nails | 4 |
provide care | 4 |
identity authentication | 4 |
control procedures | 4 |
signature scheme | 4 |
civil society | 4 |
corresponding author | 4 |
cluster analysis | 4 |
online mental | 4 |
turkish version | 4 |
weak governance | 4 |
mec servers | 4 |
routine use | 4 |
hightouch surfaces | 4 |
biomedical waste | 4 |
infected cases | 4 |
gastrointestinal tract | 4 |
depression symptoms | 4 |
desirability function | 4 |
take appropriate | 4 |
united kingdom | 4 |
security privacy | 4 |
patient outcomes | 4 |
care resources | 4 |
hubei province | 4 |
legal actions | 4 |
new zealand | 4 |
information security | 4 |
zika virus | 4 |
organisation performance | 4 |
infection preventionist | 4 |
wearable health | 4 |
randomized controlled | 4 |
surveyed healthcare | 4 |
barrier injury | 4 |
data audit | 4 |
healthy lifestyle | 4 |
national institute | 4 |
will use | 4 |
main reason | 4 |
emergency medical | 4 |
observational study | 4 |
prevent health | 4 |
asian countries | 4 |
government failures | 4 |
adverse effects | 4 |
based data | 4 |
product per | 4 |
mental disorders | 4 |
health outcome | 4 |
relationships among | 4 |
documents included | 4 |
psychological disorders | 4 |
negative association | 4 |
hais caused | 4 |
short supply | 4 |
health apps | 4 |
allowed healthcare | 4 |
bloodborne pathogens | 4 |
new pathogens | 4 |
review process | 4 |
next pandemic | 4 |
publicly available | 4 |
psychiatric trainees | 4 |
mechanical ventilation | 4 |
area model | 4 |
technology readiness | 4 |
integrative review | 4 |
ten studies | 4 |
epidemiology programs | 4 |
operations management | 4 |
technology usage | 4 |
vegetative bacteria | 4 |
media platforms | 4 |
icu nurses | 4 |
outbreak psychological | 4 |
providing healthcare | 4 |
different countries | 4 |
blood stream | 4 |
probable sars | 4 |
vulnerable patients | 4 |
development goal | 4 |
study selection | 4 |
high level | 4 |
much higher | 4 |
personal data | 3 |
every single | 3 |
hearing loss | 3 |
including symptoms | 3 |
washington post | 3 |
using two | 3 |
conducted studies | 3 |
addressing individual | 3 |
study focuses | 3 |
multidrug resistant | 3 |
series analysis | 3 |
control precautions | 3 |
neurological conditions | 3 |
data without | 3 |
life years | 3 |
may feel | 3 |
bacterial spores | 3 |
comparative study | 3 |
looking towards | 3 |
systematic analysis | 3 |
article distributed | 3 |
get healthcare | 3 |
term psychological | 3 |
critical time | 3 |
silk group | 3 |
coronavirus outbreak | 3 |
model fit | 3 |
critical items | 3 |
human milk | 3 |
important factors | 3 |
moral injury | 3 |
impact among | 3 |
mandatory influenza | 3 |
author brief | 3 |
daily star | 3 |
properly conducted | 3 |
massive mimo | 3 |
coronavirus sars | 3 |
minimize health | 3 |
confirmatory factor | 3 |
outcomes related | 3 |
access policy | 3 |
line healthcare | 3 |
sleep disturbance | 3 |
causative agent | 3 |
alone may | 3 |
organizational factors | 3 |
infected individuals | 3 |
will improve | 3 |
outpatient clinic | 3 |
public service | 3 |
first day | 3 |
healthcare coverage | 3 |
trump administration | 3 |
human resource | 3 |
centric perspective | 3 |
phase serum | 3 |
scarce medical | 3 |
infected persons | 3 |
workers must | 3 |
healthy life | 3 |
manual cleaning | 3 |
cell networks | 3 |
improved hydrogen | 3 |
also important | 3 |
recent findings | 3 |
prolonged exposure | 3 |
raw data | 3 |
family friends | 3 |
appendix displays | 3 |
infectious pathogens | 3 |
based system | 3 |
medical centers | 3 |
amid covid | 3 |
analytic hierarchy | 3 |
security risks | 3 |
feeling nervous | 3 |
infecting others | 3 |
door handles | 3 |
virtualized networks | 3 |
widely explored | 3 |
assessed using | 3 |
obligations towards | 3 |
attribution license | 3 |
independent factors | 3 |
communityacquired methicillin | 3 |
catheter associated | 3 |
electronic media | 3 |
close proximity | 3 |
data via | 3 |
resilience among | 3 |
response rate | 3 |
infected healthcare | 3 |
use technology | 3 |
risk hospital | 3 |
special consideration | 3 |
workers working | 3 |
proper hand | 3 |
sample sizes | 3 |
healthcare equipment | 3 |
one person | 3 |
first aid | 3 |
items used | 3 |
contact time | 3 |
minimize potential | 3 |
risk exposure | 3 |
family welfare | 3 |
making methods | 3 |
among intensive | 3 |
blockchain systems | 3 |
managing mental | 3 |
decision criteria | 3 |
online version | 3 |
strategic national | 3 |
care workforce | 3 |
regression model | 3 |
centralized server | 3 |
collecting data | 3 |
public group | 3 |
health organizations | 3 |
respiratory syncytial | 3 |
quaternary ammonium | 3 |
individual factors | 3 |
dishonest behavior | 3 |
search engine | 3 |
life support | 3 |
implicit data | 3 |
care systems | 3 |
facilities will | 3 |
care provider | 3 |
healthcare monitoring | 3 |
job demands | 3 |
basic needs | 3 |
growth theory | 3 |
large amount | 3 |
based model | 3 |
transportation route | 3 |
reusable ppe | 3 |
social well | 3 |
provide online | 3 |
first line | 3 |
protective factor | 3 |
health authorities | 3 |
better care | 3 |
secure remote | 3 |
influenza virus | 3 |
university hospital | 3 |
privacy protection | 3 |
duty surgical | 3 |
doses range | 3 |
infection transmission | 3 |
multiple authorities | 3 |
size regional | 3 |
body fluid | 3 |
copyright owner | 3 |
academic practice | 3 |
road network | 3 |
local public | 3 |
wireless body | 3 |
medical workforce | 3 |
centred care | 3 |
government needs | 3 |
identity information | 3 |
thinking one | 3 |
summarize available | 3 |
healthcare apparel | 3 |
tricyclic antidepressants | 3 |
medical practice | 3 |
systems use | 3 |
crm solution | 3 |
device application | 3 |
piped water | 3 |
syncytial virus | 3 |
ipc guidelines | 3 |
suitable places | 3 |
trusted third | 3 |
decontamination protocols | 3 |
next section | 3 |
least effective | 3 |
results also | 3 |
emergency medicine | 3 |
high levels | 3 |
hospital preparedness | 3 |
ssi rates | 3 |
recovery strategies | 3 |
reusing ppe | 3 |
another limitation | 3 |
kangaroo care | 3 |
area network | 3 |
particularly important | 3 |
whether chatbots | 3 |
less likely | 3 |
healthcare interventions | 3 |
table presents | 3 |
will take | 3 |
dis doi | 3 |
national emergency | 3 |
chronic diseases | 3 |
prepare healthcare | 3 |
diagnosed cases | 3 |
providing psychiatric | 3 |
creative commons | 3 |
health organisation | 3 |
confidence level | 3 |
spatial data | 3 |
greatest risk | 3 |
emotional state | 3 |
high rates | 3 |
occupational culture | 3 |
chinese nurses | 3 |
healthcare model | 3 |
potential risk | 3 |
influenza season | 3 |
droplet precautions | 3 |
professional bodies | 3 |
surgical care | 3 |
quality improvement | 3 |
transaction will | 3 |
secure ehr | 3 |
plastic surgical | 3 |
sharing among | 3 |
health doi | 3 |
reported prevalence | 3 |
information seeking | 3 |
homomorphic encryption | 3 |
supply shortages | 3 |
travel distance | 3 |
first archetype | 3 |
elderly parents | 3 |
available healthcare | 3 |
contr ol | 3 |
death rates | 3 |
medical industry | 3 |
senior researcher | 3 |
understanding users | 3 |
recent example | 3 |
patients will | 3 |
high incidence | 3 |
support staff | 3 |
prevention strategies | 3 |
primary needs | 3 |
management facilities | 3 |
potential attack | 3 |
identified studies | 3 |
personalized reminders | 3 |
severe food | 3 |
i find | 3 |
mobile device | 3 |
methicillinresistant staphylococcus | 3 |
mental state | 3 |
practices related | 3 |
future directions | 3 |
related behavior | 3 |
psychological interventions | 3 |
adjusted life | 3 |
isolation room | 3 |
examine whether | 3 |
medical procedures | 3 |
diseases emergencies | 3 |
also recommended | 3 |
information available | 3 |
varying degrees | 3 |
time series | 3 |
patients developed | 3 |
another example | 3 |
alpha values | 3 |
psychosomatic symptoms | 3 |
key encryption | 3 |
control plans | 3 |
previous healthcare | 3 |
increasing numbers | 3 |
empirical evidence | 3 |
relevant factors | 3 |
will offer | 3 |
neurological care | 3 |
high computational | 3 |
many years | 3 |
pathogens may | 3 |
assess crm | 3 |
supervision tool | 3 |
smart glasses | 3 |
education programs | 3 |
negative emotional | 3 |
protective gear | 3 |
help prevent | 3 |
occupational violence | 3 |
training related | 3 |
virus spread | 3 |
associate professor | 3 |
even comparable | 3 |
single point | 3 |
safety measures | 3 |
different methods | 3 |
time points | 3 |
exposure risks | 3 |
government hospitals | 3 |
abdominal surgery | 3 |
without relying | 3 |
immunosuppressive agents | 3 |
viral load | 3 |
proper information | 3 |
hicpac cdc | 3 |
google scholar | 3 |
resilience training | 3 |
survey questionnaire | 3 |
largest importer | 3 |
relatively limited | 3 |
studies examining | 3 |
italian health | 3 |
across different | 3 |
appropriate ppe | 3 |
solution type | 3 |
research studies | 3 |
psychological symptoms | 3 |
leading causes | 3 |
molecular epidemiology | 3 |
interrupted time | 3 |
body area | 3 |
studies also | 3 |
face mental | 3 |
contaminated hands | 3 |
items require | 3 |
predicted healthcare | 3 |
long term | 3 |
facilities resolutions | 3 |
populated areas | 3 |
clinical trial | 3 |
healthcare related | 3 |
ethical principles | 3 |
problems among | 3 |
safe working | 3 |
significant gaps | 3 |
manuscript www | 3 |
droplet route | 3 |
eligible studies | 3 |
worker safety | 3 |
outbreak investigations | 3 |
medicaid services | 3 |
integrated model | 3 |
care sector | 3 |
poor accessibility | 3 |
vice versa | 3 |
current interventions | 3 |
nurses working | 3 |
sanitation services | 3 |
study mental | 3 |
healthcare expenditure | 3 |
psychopathology focus | 3 |
potential privacy | 3 |
will enable | 3 |
universal precautions | 3 |
without eye | 3 |
healthcare operations | 3 |
acceptable limit | 3 |
original author | 3 |
nongovernmental organizations | 3 |
skin infections | 3 |
infections caused | 3 |
mitigation strategies | 3 |
proposed sites | 3 |
review date | 3 |
consumer trust | 3 |
healthcare problems | 3 |
customer service | 3 |
various health | 3 |
individual studies | 3 |
reference lists | 3 |
emergency services | 3 |
will reduce | 3 |
readiness index | 3 |
years ago | 3 |
lifting patients | 3 |
research challenges | 3 |
must find | 3 |
key stakeholders | 3 |
competitive health | 3 |
security mechanisms | 3 |
active role | 3 |
appropriate footwear | 3 |
associated coronavirus | 3 |
economic crisis | 3 |
several patients | 3 |
per year | 3 |
new normal | 3 |
preve ntion | 3 |
expert guidance | 3 |
extant studies | 3 |
based privacy | 3 |
empirical investigation | 3 |
consistency coefficient | 3 |
mobile internet | 3 |
environmental sanitation | 3 |
moral distress | 3 |
may help | 3 |
among patients | 3 |
issues mhi | 3 |
qualitative research | 3 |
user satisfaction | 3 |
related quality | 3 |
bacterial pathogens | 3 |
saud university | 3 |
global risks | 3 |
associated mrsa | 3 |
human body | 3 |
design dimensions | 3 |
crm adoption | 3 |
private key | 3 |
common practice | 3 |
population density | 3 |
multiple settings | 3 |
healthcare workforce | 3 |
airborne route | 3 |
also considered | 3 |
healthcare blockchain | 3 |
sensor networks | 3 |
extreme weather | 3 |
smart healthcare | 3 |
services within | 3 |
will face | 3 |
universal healthcare | 3 |
applications will | 3 |
emergency responders | 3 |
point prevalence | 3 |
questionnaire survey | 3 |
consensus statement | 3 |
patients admitted | 3 |
hiv aids | 3 |
acceptance behavior | 3 |
four studies | 3 |
communicable diseases | 3 |
care among | 3 |
social conflict | 3 |
long time | 3 |
distributed ledger | 3 |
important component | 3 |
higher scores | 3 |
managerial implications | 3 |
make sure | 3 |
support healthcare | 3 |
relevant wash | 3 |
first come | 3 |
receive care | 3 |
physical contact | 3 |
strongly agree | 3 |
three research | 3 |
positive results | 3 |
clinical health | 3 |
hcws may | 3 |
hiv infection | 3 |
test results | 3 |
norepinephrine reuptake | 3 |
future responses | 3 |
infections due | 3 |
key cryptography | 3 |
healthcare crisis | 3 |
monitoring systems | 3 |
waiting rooms | 3 |
original publication | 3 |
tam constructs | 3 |
risk resilience | 3 |
workers utilized | 3 |
international conference | 3 |
invasive procedures | 3 |
predefined access | 3 |
access article | 3 |
surfaces contribute | 3 |
medical doctor | 3 |
consortium blockchain | 3 |
emerging infectious | 3 |
microbial adhesion | 3 |
york times | 3 |
gloved hands | 3 |
right time | 3 |
social psychology | 3 |
later years | 3 |
treating covid | 3 |
aging population | 3 |
decision model | 3 |
polymerase chain | 3 |
affect healthcare | 3 |
least seconds | 3 |
managing customer | 3 |
positive significant | 3 |
basic healthcare | 3 |
huge number | 3 |
following sections | 3 |
clinical care | 3 |
high possibility | 3 |
disaster response | 3 |
sars survivors | 3 |
active barrier | 3 |
needs will | 3 |
path coefficient | 3 |
final monitoring | 3 |
aureus colonization | 3 |
data access | 3 |
psychiatric hospital | 3 |
normal activities | 3 |
via blockchain | 3 |
resource settings | 3 |
healthcare technology | 3 |
patient flow | 3 |
competitiveness index | 3 |
severe socio | 3 |
tracing applications | 3 |
manufacturing plants | 3 |
psychological wellbeing | 3 |
physical health | 3 |
refugee camps | 3 |
management implementation | 3 |
systematic steps | 3 |
peroxide decontamination | 3 |
transmission among | 3 |
job insecurity | 3 |
distributed nodes | 3 |
predicted psychological | 3 |
ensuring healthcare | 3 |
diagnostic test | 3 |
whole sample | 3 |
relevant stakeholders | 3 |
proposing new | 3 |
prevalence rate | 3 |
human development | 3 |
strongly disagree | 3 |
touch environmental | 3 |
potential research | 3 |
without institutionalizing | 3 |
computing systems | 3 |
insomnia among | 3 |
attitudes toward | 3 |
cdc recommends | 3 |
study provides | 3 |
values belonging | 3 |
potentially pathogenic | 3 |
appropriately trained | 3 |
hospital outbreak | 3 |
per day | 3 |
research funding | 3 |
department personnel | 3 |
health policies | 3 |
global burden | 3 |
heavily burdened | 3 |
nephrology department | 3 |
current evidence | 3 |
care worker | 3 |
room surfaces | 3 |
general information | 3 |
randomly selected | 3 |
medical needs | 3 |
medical health | 3 |
curious third | 3 |
data extraction | 3 |
study involved | 3 |
occupational effects | 3 |
equation models | 3 |
clinical trials | 3 |
ppe will | 3 |
data transfer | 3 |
providing hospital | 3 |
one doctor | 3 |
management decisions | 3 |
exposures among | 3 |
asymptomatic colonization | 3 |
viral infections | 3 |
accepted academic | 3 |
use different | 3 |
risk assessments | 3 |
optimization technique | 3 |
brain barrier | 3 |
basic sanitation | 3 |
available research | 3 |
cost associated | 3 |
med doi | 3 |
climate variability | 3 |
service users | 3 |
reporting anxiety | 3 |
significantly associated | 3 |
infect dis | 3 |
online surveys | 3 |
representative sample | 3 |
rural areas | 3 |
postoperative pneumonia | 3 |
clean laundry | 3 |
adverse mental | 3 |
early diagnosis | 3 |
hygiene practices | 3 |
health survey | 3 |
drug events | 3 |
kenya environmental | 3 |
cov transmission | 3 |
drinking water | 3 |
pandemic context | 3 |
personal healthcare | 3 |
intrinsic motivation | 3 |
identify factors | 3 |
current healthcare | 3 |
protecting hcws | 3 |
pit latrines | 3 |
merkle tree | 3 |
results indicate | 3 |
healthcare competitiveness | 3 |
encryption scheme | 3 |
technology use | 3 |
workers date | 3 |
environmental infection | 3 |
comprised statements | 3 |
security measures | 3 |
spatial dimension | 3 |
prevent disease | 3 |
recently published | 3 |
psychological first | 3 |
will suffer | 3 |
health hazards | 3 |
electronic patient | 3 |
optimization techniques | 3 |
provides practical | 3 |
future pandemics | 3 |
using technology | 3 |
oncology unit | 3 |
shorter version | 3 |
production capacity | 3 |
contaminated hts | 3 |
patient centric | 3 |
nursing home | 3 |
health measures | 3 |
radio access | 3 |
three years | 3 |
total population | 3 |
service based | 3 |
small number | 3 |
resistance among | 3 |
facilities may | 3 |
chain reaction | 3 |
social networking | 3 |
management information | 3 |
widely applied | 3 |
significant risk | 3 |
middleincome countries | 3 |
providers need | 3 |
neurointerventional surgery | 3 |
practice guidelines | 3 |
effort expectancy | 3 |
high degree | 3 |
budget cuts | 3 |
resource constraints | 3 |
privacy issues | 3 |
patients may | 3 |
protection measures | 3 |
professionals face | 3 |
provide high | 3 |
high internal | 3 |
pathogenic bacteria | 3 |
table summary | 3 |
good practice | 3 |
review prevalence | 3 |
ppe production | 3 |
psychological help | 3 |
political leadership | 3 |
may provide | 3 |
iot environment | 3 |
critical supply | 3 |
health geography | 3 |
risk management | 3 |
italian healthcare | 3 |
groundwater quality | 3 |
evidence suggests | 3 |
among iranian | 3 |
position statement | 3 |
king saud | 3 |
aadhaar based | 3 |
value characteristic | 3 |
market failure | 3 |
science research | 3 |
study included | 3 |
data reported | 3 |
nearly half | 3 |
common method | 3 |
governmental organizations | 3 |
based accessibility | 3 |
cryptography technology | 3 |
sharing scheme | 3 |
model based | 3 |
study showed | 3 |
nasopharyngeal swab | 3 |
patient visits | 3 |
among chinese | 3 |
major cause | 3 |
health psychology | 3 |
protecting healthcare | 3 |
effectively used | 3 |
care home | 3 |
preserving data | 3 |
primary studies | 3 |
lifesaving resources | 3 |
health priorities | 3 |
relevant key | 3 |
hospital operating | 3 |
commons attribution | 3 |
critical medical | 3 |
hospital surfaces | 3 |
prevention activities | 3 |
distress among | 3 |
regular lifestyle | 3 |
doctoral dissertation | 3 |
parenteral nutrition | 3 |
greater good | 3 |
using smart | 3 |
reported anxiety | 3 |
based ehr | 3 |
new coronavirus | 3 |
concerns regarding | 3 |
based interactions | 3 |
elderly patients | 3 |
discretionary powers | 3 |
health expenditures | 3 |
teaching hospital | 3 |
protective masks | 3 |
highest preference | 3 |
continue using | 3 |
associated methicillin | 3 |
tam model | 3 |
adequate personal | 3 |
frequently touched | 3 |
potential benefits | 3 |
medical attention | 3 |
new antimicrobials | 3 |
medical assistance | 3 |
site selection | 3 |
pcr test | 3 |
user information | 3 |
hierarchy process | 3 |
key management | 3 |
early warning | 3 |
american exceptionalism | 3 |
orthopedic surgery | 3 |
soft surfaces | 3 |
final universal | 3 |
recommendations regarding | 3 |
two key | 3 |
may exacerbate | 3 |
common types | 3 |
patients presenting | 3 |
insufficient reporting | 3 |
may play | 3 |
mood stabilizers | 3 |
two weeks | 3 |
weight infants | 3 |
medical help | 3 |
action plan | 3 |
prevent hcais | 3 |
within km | 3 |
improve compliance | 3 |
challenges faced | 3 |
workers experience | 3 |
perceived need | 3 |
vancomycin resistance | 3 |
different information | 3 |
molecular diagnostic | 3 |
covid positive | 3 |
specific aspects | 3 |
inflated prices | 3 |
administrative controls | 3 |
positive loading | 3 |
within hours | 3 |
analysis based | 3 |
population point | 3 |
care delivery | 3 |
stroke patients | 3 |
health intervention | 3 |
brief resilience | 3 |
crm based | 3 |
appropriate measures | 3 |
study suggests | 3 |
various hospitals | 3 |
insider attacks | 3 |
will lead | 3 |
year author | 3 |
reported healthcare | 3 |
personal risk | 3 |
first study | 3 |
cleaning efficacy | 3 |
healthcare indicators | 3 |
prime minister | 3 |
mental exercise | 3 |
special care | 3 |
case history | 3 |
research study | 3 |
third party | 3 |
global epidemic | 3 |
clinical research | 3 |
seek medical | 3 |
economic aspects | 3 |
emerging technologies | 3 |
emergency responses | 3 |
gel electrophoresis | 3 |
previous block | 3 |
keywords used | 3 |
nutritional deficiency | 3 |
studies reporting | 3 |
saudi arabia | 3 |
personal lives | 3 |
evidence base | 3 |
statistical methods | 3 |
stress among | 3 |
target hash | 3 |
public blockchain | 3 |
nose protection | 3 |
district health | 3 |
infec tion | 3 |
patient data | 3 |
costs associated | 3 |
pediatric facilities | 3 |
bed rails | 3 |
challenging times | 3 |
also emphasized | 3 |
utmost importance | 3 |
chatbots offer | 3 |
positive relationship | 3 |
immunization practices | 3 |
either i | 3 |
will get | 3 |
brain injury | 3 |
regional general | 3 |
care provision | 3 |
surgical gown | 3 |
acquire hcais | 3 |
independent variables | 3 |
may cause | 3 |
verbal abuse | 3 |
one another | 3 |
chemical disinfection | 3 |
serum samples | 3 |
regression models | 3 |
especially important | 3 |
menstrual hygiene | 3 |
various instruments | 3 |
infectious complications | 3 |
wound infections | 3 |
immediate psychological | 3 |
medical hospital | 3 |
virus outbreaks | 3 |
may raise | 3 |
ppe exports | 3 |
frontline work | 3 |
membership verification | 3 |
i understanding | 3 |
psychological well | 3 |
facilities recorded | 3 |
overall healthcare | 3 |
necessary infrastructure | 3 |
icu stay | 3 |
adequate plant | 3 |
medical research | 3 |
networks will | 3 |
healthcare organisations | 3 |
among hcws | 3 |
bmj https | 3 |
important sources | 3 |
diabetes mellitus | 3 |
equitable distribution | 3 |
private data | 3 |
sternal wound | 3 |
good health | 3 |
better understanding | 3 |
electronic healthcare | 3 |
care items | 3 |
mobile healthcare | 3 |
whenever possible | 3 |
aerosol generating | 3 |
authors found | 3 |
sars patient | 3 |
social network | 3 |
using product | 3 |
system resilience | 3 |
factors impacting | 3 |
different settings | 3 |
different contexts | 3 |
total parenteral | 3 |
suitable locations | 3 |
royal college | 3 |
success model | 3 |
limited studies | 3 |
producing klebsiella | 3 |
structural barriers | 3 |
personnel group | 3 |
making process | 3 |
burkholderia spp | 3 |
narrative summary | 3 |
best interests | 3 |
back pain | 3 |
future work | 3 |
highly effective | 3 |
psychological hazards | 3 |
variables showed | 3 |
cases reported | 3 |
work stress | 3 |
week prior | 3 |
environmental decontamination | 3 |
possible environmental | 3 |
cepacia complex | 3 |
key challenge | 3 |
weather events | 3 |
trust evaluation | 3 |
first served | 3 |
antimicrobials alone | 3 |
decision matrix | 3 |
community health | 3 |
studies report | 3 |
network connectivity | 3 |
reactive oxygen | 3 |
rapidly increasing | 3 |
staff will | 3 |
bilingual faculty | 3 |
highest number | 3 |
health institutions | 3 |
care waste | 3 |
bacterial levels | 3 |
plastic surgery | 3 |
data collected | 3 |
variables related | 3 |
enhanced cleaning | 3 |
online social | 3 |
per week | 3 |
university hospitals | 3 |
potential causes | 3 |
trust management | 3 |
intact skin | 3 |
ensuring adequate | 3 |
traumatic brain | 3 |
age groups | 3 |
management team | 3 |
requires additional | 3 |
risks report | 3 |
health workforce | 3 |
viral respiratory | 3 |
empirical analysis | 3 |
fluid repellency | 3 |
pseudomonas spp | 3 |
industrial policy | 3 |
effective ipc | 3 |
insufficient data | 3 |
sufficient ppe | 3 |
last exposure | 3 |
noncritical items | 3 |
surface environment | 3 |
service using | 3 |
study employed | 3 |
medical vocabulary | 3 |
data requestors | 3 |
proposed healthcare | 3 |
additional studies | 3 |
hospital admission | 3 |
three levels | 3 |
enterobacter spp | 3 |
essential healthcare | 3 |
based recommendations | 3 |
increased demand | 3 |
will affect | 3 |
negative effect | 3 |
prevention measures | 3 |
readily available | 3 |
different organizations | 3 |
preventing infectious | 3 |
existing situation | 3 |
disinfection system | 3 |
country level | 3 |
one medical | 3 |
ground truth | 3 |
end consumer | 3 |
second tier | 3 |
information exchange | 3 |
healthcare administration | 3 |
theoretical foundation | 3 |
factor associated | 3 |
extant research | 3 |
privacy risk | 3 |
facilities within | 2 |
integrating different | 2 |
assessed study | 2 |
also need | 2 |
providing information | 2 |
viral infection | 2 |
exploratory study | 2 |
week quarantine | 2 |
emotional experiences | 2 |
fair allocation | 2 |
impaired work | 2 |
serious security | 2 |
top five | 2 |
british healthcare | 2 |
geometric mean | 2 |
answered psychologists | 2 |
extraction form | 2 |
heightened risk | 2 |
optimum ghci | 2 |
distance decay | 2 |
remote monitoring | 2 |
adequate quantities | 2 |
secure audit | 2 |
healthcare authorities | 2 |
quality due | 2 |
uhc level | 2 |
healthcare due | 2 |
epidemic control | 2 |
career plans | 2 |
may seem | 2 |
surgery recommendations | 2 |
striking illustration | 2 |
closing schools | 2 |
spatial discrepancy | 2 |
weighted normalised | 2 |
servers deployed | 2 |
intervention studies | 2 |
countries challenges | 2 |
policy plan | 2 |
safe wash | 2 |
cryptographic hash | 2 |
ultraviolet light | 2 |
household contacts | 2 |
behaviour change | 2 |
future course | 2 |
european centre | 2 |
increase health | 2 |
reasoning behind | 2 |
vocational resort | 2 |
interventions review | 2 |
hospital shifts | 2 |
adverse physical | 2 |
three manifest | 2 |
control guideline | 2 |
hospital site | 2 |
among employees | 2 |
pathogenic virulent | 2 |
systems research | 2 |
currently used | 2 |
pass along | 2 |
received health | 2 |
system dynamics | 2 |
ssi rate | 2 |
mean response | 2 |
verification key | 2 |
performing medical | 2 |
predisposing factors | 2 |
greater chance | 2 |
implementation issues | 2 |
service site | 2 |
dimensions like | 2 |
often considered | 2 |
based simulation | 2 |
psychosocial considerations | 2 |
health among | 2 |
past months | 2 |
sourcing personal | 2 |
also examined | 2 |
trusted central | 2 |
pediatric hospital | 2 |
innovation forum | 2 |
variables significantly | 2 |
root hash | 2 |
recently issued | 2 |
dialog styles | 2 |
jbi prevalence | 2 |
studies directly | 2 |
regional hospital | 2 |
human behavior | 2 |
personal values | 2 |
facilitating team | 2 |
first case | 2 |
domestic inventories | 2 |
formal interventions | 2 |
delivery devices | 2 |
cognition models | 2 |
homogenous enough | 2 |
may struggle | 2 |