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 | 1018 |
| pandemic influenza | 347 |
| health care | 246 |
| infectious disease | 217 |
| respiratory syndrome | 186 |
| hand hygiene | 164 |
| infectious diseases | 162 |
| health literacy | 162 |
| influenza pandemic | 159 |
| hiv aids | 154 |
| influenza vaccination | 154 |
| psychological distress | 137 |
| health system | 133 |
| sickness absence | 127 |
| hong kong | 122 |
| middle east | 121 |
| world health | 117 |
| seasonal influenza | 111 |
| risk perception | 107 |
| avian influenza | 107 |
| health organization | 103 |
| acute respiratory | 102 |
| east respiratory | 101 |
| behaviour change | 99 |
| health systems | 95 |
| mental health | 94 |
| severe acute | 91 |
| disease control | 91 |
| health behaviors | 90 |
| general public | 86 |
| pandemic preparedness | 85 |
| additional file | 83 |
| one health | 82 |
| systematic review | 81 |
| sierra leone | 80 |
| risk factors | 80 |
| evd survivors | 79 |
| data collection | 79 |
| ev cases | 78 |
| bmc public | 78 |
| united states | 77 |
| health doi | 73 |
| doc id | 73 |
| cord uid | 73 |
| social distancing | 68 |
| syndrome coronavirus | 66 |
| healthcare workers | 66 |
| confirmed cases | 65 |
| competing interests | 62 |
| south korea | 62 |
| surveillance system | 62 |
| social determinants | 62 |
| health emergency | 61 |
| emergency response | 60 |
| sample size | 60 |
| influenza surveillance | 59 |
| vaccination coverage | 59 |
| infection control | 59 |
| general population | 58 |
| disease outbreaks | 58 |
| influenza vaccine | 57 |
| health behavior | 57 |
| statistically significant | 56 |
| health policy | 55 |
| emerging infectious | 54 |
| charcoal burning | 54 |
| sars outbreak | 54 |
| data analysis | 54 |
| health status | 54 |
| pathogen genomics | 53 |
| health professionals | 53 |
| present study | 52 |
| global health | 52 |
| severe ev | 51 |
| attack rate | 51 |
| study design | 51 |
| authors declare | 51 |
| ebola virus | 51 |
| youth welfare | 50 |
| sectional study | 49 |
| health outcomes | 49 |
| secondary distribution | 48 |
| control measures | 48 |
| saudi arabia | 47 |
| current study | 47 |
| chronic disease | 45 |
| school closure | 44 |
| young children | 44 |
| health workers | 43 |
| virus disease | 43 |
| hygiene practice | 42 |
| protection motivation | 42 |
| care workers | 42 |
| risk communication | 42 |
| primary care | 42 |
| hand washing | 41 |
| health security | 41 |
| logistic regression | 41 |
| iv coverage | 40 |
| intimate partner | 40 |
| aboriginal children | 40 |
| project scientists | 40 |
| partner violence | 40 |
| final manuscript | 40 |
| disease outbreak | 40 |
| health emergencies | 40 |
| productivity losses | 39 |
| gdd rcs | 39 |
| chronic diseases | 38 |
| health approach | 38 |
| people living | 38 |
| age groups | 38 |
| motivation theory | 37 |
| wildlife officials | 37 |
| health research | 37 |
| social support | 37 |
| age group | 36 |
| years old | 36 |
| sadc countries | 36 |
| health authorities | 36 |
| surveillance systems | 35 |
| time series | 35 |
| significantly higher | 35 |
| influenza season | 35 |
| close contacts | 35 |
| novel coronavirus | 35 |
| educational attainment | 35 |
| incubation period | 35 |
| ebola outbreak | 34 |
| gdd program | 34 |
| resilient health | 34 |
| european union | 34 |
| health facilities | 34 |
| authors read | 34 |
| health service | 34 |
| influenza viruses | 34 |
| health agencies | 33 |
| factors associated | 33 |
| swine flu | 33 |
| national health | 33 |
| change theories | 33 |
| disease transmission | 32 |
| preventive behaviours | 32 |
| mortality rates | 32 |
| one study | 32 |
| prior knowledge | 32 |
| mild ev | 32 |
| informed consent | 32 |
| physical aggression | 31 |
| previous studies | 31 |
| autonomous motivation | 30 |
| bat contact | 30 |
| related stigma | 30 |
| disease surveillance | 30 |
| facemask wearing | 30 |
| regression analysis | 30 |
| eu health | 30 |
| mitigation strategies | 29 |
| health personnel | 29 |
| food safety | 29 |
| reproduction number | 29 |
| stay home | 29 |
| hiv testing | 29 |
| influenza virus | 29 |
| emergency preparedness | 29 |
| burning suicides | 29 |
| less likely | 29 |
| rural areas | 28 |
| epidemic period | 28 |
| drug use | 28 |
| information system | 28 |
| demographic characteristics | 28 |
| care providers | 27 |
| jurisdictional claims | 27 |
| ethics committee | 27 |
| sentinel surveillance | 27 |
| west africa | 27 |
| high risk | 27 |
| health services | 27 |
| remains neutral | 27 |
| controlled trial | 27 |
| surveillance data | 27 |
| coronavirus disease | 27 |
| published maps | 27 |
| study showed | 27 |
| institutional affiliations | 27 |
| nature remains | 27 |
| influenza activity | 27 |
| disease prevention | 27 |
| springer nature | 27 |
| per cent | 26 |
| towards covid | 26 |
| aboriginal populations | 26 |
| member states | 26 |
| lao pdr | 26 |
| preventive measures | 26 |
| high psychological | 26 |
| monetary incentives | 26 |
| anticipated compliance | 26 |
| care system | 26 |
| future research | 26 |
| malaria cases | 26 |
| supplementary information | 26 |
| health education | 26 |
| health information | 26 |
| online survey | 26 |
| health belief | 25 |
| mean age | 25 |
| attitude towards | 25 |
| response rate | 25 |
| capacity building | 25 |
| significant difference | 25 |
| developing countries | 25 |
| medical staff | 25 |
| zoonotic pathogens | 25 |
| care seeking | 25 |
| study period | 25 |
| county cdcs | 25 |
| belief model | 25 |
| publication history | 25 |
| local health | 24 |
| infl uenza | 24 |
| pathogen surveillance | 24 |
| total cost | 24 |
| phepr messages | 24 |
| may also | 24 |
| confidence interval | 24 |
| household practices | 24 |
| like illness | 24 |
| risk perceptions | 24 |
| qualitative study | 24 |
| community health | 24 |
| per person | 24 |
| genome sequencing | 23 |
| google scholar | 23 |
| statistical analysis | 23 |
| first nations | 23 |
| influenza infection | 23 |
| educational level | 23 |
| welfare staff | 23 |
| injecting drug | 22 |
| information sources | 22 |
| health threats | 22 |
| ebola survivors | 22 |
| least one | 22 |
| randomized controlled | 22 |
| southeast asia | 22 |
| simulation model | 22 |
| lessons learned | 22 |
| influenza preparedness | 22 |
| syndromic surveillance | 22 |
| respiratory illness | 22 |
| process model | 22 |
| missed opportunity | 22 |
| clinical symptoms | 22 |
| mouth disease | 22 |
| health mandate | 22 |
| contact tracing | 22 |
| bat consumption | 22 |
| national influenza | 22 |
| epidemiological data | 22 |
| culturally appropriate | 21 |
| health threat | 21 |
| general health | 21 |
| sectional survey | 21 |
| parameter values | 21 |
| tb control | 21 |
| human health | 21 |
| economic activity | 21 |
| among evd | 21 |
| perceived risk | 21 |
| performed using | 21 |
| significant differences | 21 |
| response efficacy | 21 |
| research ethics | 21 |
| high levels | 21 |
| intensive care | 21 |
| internalised stigma | 21 |
| task load | 21 |
| mortality rate | 21 |
| health measures | 21 |
| common cold | 21 |
| global burden | 20 |
| stakeholder groups | 20 |
| infection waves | 20 |
| healthcare providers | 20 |
| otitis media | 20 |
| activity status | 20 |
| note springer | 20 |
| health behaviours | 20 |
| planned behaviour | 20 |
| general practitioners | 20 |
| disease management | 20 |
| older cohort | 20 |
| practice scores | 20 |
| pneumococcal vaccination | 20 |
| social network | 20 |
| social isolation | 20 |
| total number | 20 |
| wildlife surveillance | 20 |
| aboriginal communities | 20 |
| pandemic response | 20 |
| health officials | 20 |
| enacted stigma | 20 |
| system resilience | 19 |
| vaccination uptake | 19 |
| key informants | 19 |
| see table | 19 |
| factors influencing | 19 |
| ethics approval | 19 |
| epidemiological characteristics | 19 |
| total costs | 19 |
| evd outbreak | 19 |
| delayed treatment | 19 |
| hospital workers | 19 |
| pi models | 19 |
| close contact | 19 |
| health questionnaire | 19 |
| health problems | 19 |
| traumatic stress | 19 |
| jiangsu province | 19 |
| also found | 19 |
| data sharing | 19 |
| risk factor | 19 |
| health interventions | 19 |
| literature review | 19 |
| i hospitalizations | 19 |
| intervention strategies | 19 |
| among health | 19 |
| medical center | 19 |
| torres strait | 19 |
| high level | 19 |
| among healthcare | 19 |
| emergency management | 19 |
| losses due | 19 |
| health policies | 18 |
| low levels | 18 |
| seasonal threshold | 18 |
| zoonotic pathogen | 18 |
| hiv infection | 18 |
| behavioral control | 18 |
| income countries | 18 |
| vaccination among | 18 |
| focus groups | 18 |
| two studies | 18 |
| corresponding author | 18 |
| perceived behavioral | 18 |
| descriptive statistics | 18 |
| important role | 18 |
| toronto area | 18 |
| north america | 18 |
| natural hazards | 18 |
| health promotion | 18 |
| two groups | 18 |
| physical activity | 18 |
| see additional | 18 |
| hiv self | 18 |
| influenza epidemic | 18 |
| perceived severity | 18 |
| medical care | 18 |
| written informed | 18 |
| subjective norm | 18 |
| greater toronto | 18 |
| data providers | 18 |
| older adults | 18 |
| ethnic minority | 18 |
| low severity | 18 |
| health organizations | 18 |
| throat swabs | 18 |
| severity pandemics | 18 |
| health surveillance | 18 |
| higher levels | 17 |
| vaccine uptake | 17 |
| point likert | 17 |
| model parameters | 17 |
| lang son | 17 |
| aged years | 17 |
| distancing interventions | 17 |
| participants reported | 17 |
| sentinel sites | 17 |
| peer referral | 17 |
| better understanding | 17 |
| good knowledge | 17 |
| disease spread | 17 |
| european countries | 17 |
| past months | 17 |
| good hand | 17 |
| cohort study | 17 |
| washing hands | 17 |
| among idus | 17 |
| older age | 17 |
| health behaviour | 17 |
| hiv prevention | 17 |
| public perceptions | 17 |
| dg sanco | 17 |
| asymptomatic carriers | 17 |
| square test | 17 |
| related productivity | 17 |
| health practice | 17 |
| statistical analyses | 17 |
| risk groups | 17 |
| significantly associated | 17 |
| decision making | 17 |
| care unit | 16 |
| health departments | 16 |
| telephone survey | 16 |
| animal health | 16 |
| health response | 16 |
| parallel process | 16 |
| salmonella outbreak | 16 |
| service provision | 16 |
| pharmaceutical interventions | 16 |
| high severity | 16 |
| drug resistance | 16 |
| population health | 16 |
| statistical significance | 16 |
| nucleic acid | 16 |
| younger cohort | 16 |
| distress among | 16 |
| many countries | 16 |
| community members | 16 |
| second life | 16 |
| social media | 16 |
| data provider | 16 |
| table shows | 16 |
| scoping review | 16 |
| among men | 16 |
| case fatality | 16 |
| simulation models | 16 |
| search strategy | 16 |
| health protection | 16 |
| extended parallel | 16 |
| human enterovirus | 16 |
| higher risk | 16 |
| malaria elimination | 16 |
| demographic data | 16 |
| hiv among | 16 |
| restrictive measures | 16 |
| seven days | 16 |
| phe preparedness | 16 |
| influenza prevention | 15 |
| demographic variables | 15 |
| pandemic preparation | 15 |
| aids epidemic | 15 |
| whole genome | 15 |
| final version | 15 |
| future studies | 15 |
| data collected | 15 |
| cross sectional | 15 |
| attack rates | 15 |
| south africa | 15 |
| tic practices | 15 |
| high rates | 15 |
| antiviral treatment | 15 |
| change theory | 15 |
| antiviral drugs | 15 |
| factor analysis | 15 |
| economic position | 15 |
| autonomy support | 15 |
| viet nam | 15 |
| case study | 15 |
| network laboratories | 15 |
| significant predictors | 15 |
| time points | 15 |
| zoonotic disease | 15 |
| social cognitive | 15 |
| indigenous australians | 15 |
| care facilities | 15 |
| internal market | 15 |
| research team | 15 |
| health sector | 15 |
| policy outputs | 15 |
| women experiencing | 15 |
| stress disorder | 15 |
| family member | 15 |
| studies reported | 15 |
| another study | 15 |
| policy makers | 15 |
| suspected cases | 15 |
| confidence intervals | 15 |
| gender difference | 15 |
| higher education | 14 |
| pandemic threats | 14 |
| literature search | 14 |
| zoonotic diseases | 14 |
| health needs | 14 |
| hair cortisol | 14 |
| reasonable request | 14 |
| next manuscript | 14 |
| perceived autonomy | 14 |
| study also | 14 |
| biomed central | 14 |
| economic status | 14 |
| temporal variations | 14 |
| increased risk | 14 |
| highly pathogenic | 14 |
| urban areas | 14 |
| financial support | 14 |
| new zealand | 14 |
| health experts | 14 |
| low self | 14 |
| integrated model | 14 |
| ili patients | 14 |
| qualitative research | 14 |
| attitudes towards | 14 |
| emergency department | 14 |
| eu public | 14 |
| coping appraisal | 14 |
| communicable diseases | 14 |
| heart disease | 14 |
| search terms | 14 |
| will help | 14 |
| kobe city | 14 |
| novel influenza | 14 |
| virus infection | 14 |
| seasonal migration | 14 |
| strait islander | 14 |
| human behaviour | 14 |
| standard deviation | 14 |
| information accompanies | 14 |
| among women | 14 |
| weather variables | 14 |
| european centre | 14 |
| infection prevention | 14 |
| private sector | 14 |
| hygiene behaviour | 14 |
| western australia | 14 |
| education level | 14 |
| systematic reviews | 14 |
| medical research | 14 |
| influenza epidemics | 14 |
| burning suicide | 14 |
| local level | 14 |
| different levels | 14 |
| virus isolation | 14 |
| community contact | 13 |
| review board | 13 |
| sars survivors | 13 |
| qualitative data | 13 |
| health actions | 13 |
| previous study | 13 |
| domestic violence | 13 |
| odds ratio | 13 |
| mers outbreak | 13 |
| based interventions | 13 |
| correlation coefficients | 13 |
| distributed software | 13 |
| recent years | 13 |
| reported eating | 13 |
| study conducted | 13 |
| pneumococcal vaccine | 13 |
| influenza cases | 13 |
| respiratory infection | 13 |
| odds ratios | 13 |
| ebola epidemic | 13 |
| six countries | 13 |
| mechanical ventilation | 13 |
| international health | 13 |
| virological surveillance | 13 |
| global pandemic | 13 |
| early detection | 13 |
| stigma among | 13 |
| human transmission | 13 |
| healthcare system | 13 |
| study reported | 13 |
| tb cases | 13 |
| clinical characteristics | 13 |
| second wave | 13 |
| early warning | 13 |
| temporal patterns | 13 |
| published studies | 13 |
| tb patients | 13 |
| preventive behavior | 13 |
| treatment delay | 13 |
| health organisation | 13 |
| influenza outbreak | 13 |
| sars epidemic | 13 |
| even though | 13 |
| perceived susceptibility | 13 |
| infected cases | 13 |
| elderly population | 13 |
| psychological impact | 13 |
| secondary attack | 13 |
| independent predictors | 13 |
| health individualism | 13 |
| behavioural science | 13 |
| independent variables | 13 |
| mers patients | 12 |
| scientific evidence | 12 |
| disease modellers | 12 |
| regression model | 12 |
| coronavirus infection | 12 |
| preparedness plans | 12 |
| east area | 12 |
| months post | 12 |
| control group | 12 |
| eating bats | 12 |
| per day | 12 |
| fear control | 12 |
| priority interfaces | 12 |
| cov infection | 12 |
| laboratory capacity | 12 |
| times higher | 12 |
| western area | 12 |
| health issues | 12 |
| wide range | 12 |
| true vs | 12 |
| related industry | 12 |
| local levels | 12 |
| freely available | 12 |
| commit suicide | 12 |
| individual patient | 12 |
| contact reduction | 12 |
| marital status | 12 |
| bush meat | 12 |
| human influenza | 12 |
| knowledge regarding | 12 |
| regarding covid | 12 |
| sequence data | 12 |
| local government | 12 |
| informed care | 12 |
| preparedness planning | 12 |
| health facility | 12 |
| respiratory disease | 12 |
| risk assessment | 12 |
| score sheet | 12 |
| general practice | 12 |
| salmonella infection | 12 |
| ning ming | 12 |
| perceived low | 12 |
| seeking behaviors | 12 |
| aboriginal health | 12 |
| past decade | 12 |
| indigenous populations | 12 |
| respiratory tract | 12 |
| health practitioners | 12 |
| total sample | 12 |
| vs false | 12 |
| severity categories | 12 |
| medium businesses | 12 |
| hendra virus | 12 |
| secondary school | 12 |
| systematic analysis | 12 |
| basic reproduction | 12 |
| emergency plan | 12 |
| mathematical models | 12 |
| preventive practices | 12 |
| national surveillance | 12 |
| likert scale | 12 |
| face masks | 12 |
| strongly agree | 12 |
| hivst kits | 12 |
| drug users | 12 |
| adjusted odds | 12 |
| raw data | 12 |
| personal protective | 12 |
| staff members | 12 |
| health commission | 12 |
| family members | 12 |
| public places | 12 |
| antiviral prophylaxis | 11 |
| environmental factors | 11 |
| improving health | 11 |
| sichuan province | 11 |
| five countries | 11 |
| horse industry | 11 |
| health activities | 11 |
| patient management | 11 |
| life expectancy | 11 |
| important factor | 11 |
| emergency plans | 11 |
| protective equipment | 11 |
| pathogen sequence | 11 |
| disease detection | 11 |
| township hospitals | 11 |
| clinical practice | 11 |
| mem method | 11 |
| business owners | 11 |
| human infection | 11 |
| series analysis | 11 |
| disease study | 11 |
| among ebola | 11 |
| human mobility | 11 |
| using data | 11 |
| studies used | 11 |
| shared understanding | 11 |
| results showed | 11 |
| infected individuals | 11 |
| several limitations | 11 |
| pandemic severity | 11 |
| survey data | 11 |
| study population | 11 |
| severe cases | 11 |
| peer review | 11 |
| composite parameter | 11 |
| average epidemic | 11 |
| intensity thresholds | 11 |
| danger control | 11 |
| commonly cited | 11 |
| south east | 11 |
| pilot study | 11 |
| aids patients | 11 |
| consumption behaviors | 11 |
| current review | 11 |
| salmonella infections | 11 |
| pandemic vaccine | 11 |
| local public | 11 |
| early stage | 11 |
| sample sizes | 11 |
| laboratory confirmed | 11 |
| intervention studies | 11 |
| categorical variables | 11 |
| primary health | 11 |
| pregnant women | 11 |
| surveillance programme | 11 |
| horse owners | 11 |
| field model | 11 |
| positive attitude | 11 |
| icu admission | 11 |
| health community | 11 |
| take full | 11 |
| poor health | 11 |
| protective behaviours | 11 |
| practices towards | 11 |
| global public | 11 |
| respiratory viruses | 11 |
| random sampling | 11 |
| capital city | 11 |
| cognitive theory | 11 |
| using spss | 11 |
| democratic republic | 11 |
| full advantage | 11 |
| health related | 11 |
| i i | 11 |
| global disease | 11 |
| relevant information | 11 |
| national institute | 11 |
| longitudinal study | 11 |
| focus group | 11 |
| personal hygiene | 11 |
| conceptual framework | 11 |
| ili surveillance | 11 |
| health department | 11 |
| regression analyses | 11 |
| face mask | 11 |
| vp gene | 11 |
| small sample | 11 |
| based surveillance | 11 |
| sars crisis | 11 |
| multiple infection | 11 |
| different types | 10 |
| highest number | 10 |
| incentives plus | 10 |
| dependent variable | 10 |
| first months | 10 |
| ming county | 10 |
| surveillance network | 10 |
| health worker | 10 |
| data sources | 10 |
| prolonged cough | 10 |
| analysed using | 10 |
| health center | 10 |
| new york | 10 |
| african countries | 10 |
| pooled estimate | 10 |
| child welfare | 10 |
| early stages | 10 |
| cm use | 10 |
| surveillance programs | 10 |
| online submission | 10 |
| digital network | 10 |
| cases reported | 10 |
| regression models | 10 |
| epidemic threshold | 10 |
| effective strategies | 10 |
| institutional review | 10 |
| outbreak investigations | 10 |
| health insurance | 10 |
| baseline survey | 10 |
| recent study | 10 |
| missed opportunities | 10 |
| nipah virus | 10 |
| transmission dynamics | 10 |
| perceived health | 10 |
| higher knowledge | 10 |
| ecological region | 10 |
| january th | 10 |
| welfare institutions | 10 |
| posttraumatic stress | 10 |
| blood samples | 10 |
| pathogenic avian | 10 |
| samples collected | 10 |
| epidemic method | 10 |
| influenza transmission | 10 |
| confirmed patients | 10 |
| stochastic model | 10 |
| equine influenza | 10 |
| social science | 10 |
| computational burden | 10 |
| index msm | 10 |
| bat guano | 10 |
| participants will | 10 |
| missing data | 10 |
| health relevant | 10 |
| big data | 10 |
| case management | 10 |
| management information | 10 |
| health regulations | 10 |
| south wales | 10 |
| medical treatment | 10 |
| multiple logistic | 10 |
| real time | 10 |
| client physical | 10 |
| good practice | 10 |
| first draft | 10 |
| east asia | 10 |
| case detection | 10 |
| virus infections | 10 |
| predict project | 10 |
| response plans | 10 |
| health impact | 10 |
| response capacity | 10 |
| wealth index | 10 |
| moving epidemic | 10 |
| reviewed literature | 10 |
| treatment delays | 10 |
| familial factors | 10 |
| health alert | 10 |
| specific knowledge | 10 |
| younger people | 10 |
| enterovirus infection | 10 |
| thorough peer | 10 |
| industry type | 10 |
| comparative study | 10 |
| peak activity | 10 |
| toward covid | 10 |
| new south | 10 |
| included studies | 10 |
| human cases | 10 |
| space constraints | 10 |
| poisson regression | 10 |
| zoonosis awareness | 10 |
| randomly selected | 10 |
| analyzed using | 10 |
| plus peer | 10 |
| immediate publication | 10 |
| highly effective | 10 |
| china cdc | 10 |
| sociodemographic characteristics | 10 |
| vast majority | 10 |
| pandemic potential | 10 |
| health workforce | 10 |
| convenient online | 10 |
| needing help | 10 |
| first author | 10 |
| improve health | 10 |
| study found | 10 |
| also showed | 10 |
| health preparedness | 10 |
| among adults | 10 |
| respondents reported | 10 |
| pandemic planning | 10 |
| blood smear | 10 |
| senior center | 10 |
| disease threats | 10 |
| theory within | 10 |
| cited theories | 9 |
| survey instrument | 9 |
| study aimed | 9 |
| clinical care | 9 |
| sore throat | 9 |
| unintended consequences | 9 |
| climate change | 9 |
| contact experiences | 9 |
| reproduction numbers | 9 |
| sexual behavior | 9 |
| inclusion criteria | 9 |
| model parameter | 9 |
| within aboriginal | 9 |
| virtual communities | 9 |
| public support | 9 |
| law distribution | 9 |
| chinese government | 9 |
| quantitative data | 9 |
| contaminated salmon | 9 |
| significance level | 9 |
| univariate analysis | 9 |
| key populations | 9 |
| health responses | 9 |
| health communication | 9 |
| three studies | 9 |
| identified within | 9 |
| several studies | 9 |
| i cases | 9 |
| lower levels | 9 |
| seasonal patterns | 9 |
| livestock species | 9 |
| seek health | 9 |
| st century | 9 |
| control groups | 9 |
| among survivors | 9 |
| city medical | 9 |
| continuous school | 9 |
| twin pairs | 9 |
| will require | 9 |
| health crises | 9 |
| decision makers | 9 |
| health centers | 9 |
| malaria diagnosis | 9 |
| government department | 9 |
| zoonosis transmission | 9 |
| large number | 9 |
| virtual community | 9 |
| sequencing technologies | 9 |
| pre pub | 9 |
| ethical approval | 9 |
| coverage among | 9 |
| individual level | 9 |
| tb diagnosis | 9 |
| strongly disagree | 9 |
| united nations | 9 |
| relatively low | 9 |
| advisory committee | 9 |
| northern province | 9 |
| west african | 9 |
| young adults | 9 |
| staff training | 9 |
| among msm | 9 |
| healthcare services | 9 |
| hev outbreaks | 9 |
| findings indicate | 9 |
| target population | 9 |
| respiratory infections | 9 |
| sensitive infection | 9 |
| seasonal variation | 9 |
| study date | 9 |
| asian countries | 9 |
| indigenous health | 9 |
| survey among | 9 |
| ear health | 9 |
| correlation coefficient | 9 |
| blood smears | 9 |
| several factors | 9 |
| wildlife pathogen | 9 |
| offi cials | 9 |
| aggression towards | 9 |
| also reported | 9 |
| healthcare neglect | 9 |
| sexually transmitted | 9 |
| four studies | 9 |
| impact assessment | 9 |
| dependent variables | 9 |
| data access | 9 |
| general servicemen | 9 |
| care professionals | 9 |
| results suggest | 9 |
| advisor advocate | 9 |
| laboratory diagnosis | 9 |
| commonly applied | 9 |
| towards pandemic | 9 |
| weekly ili | 9 |
| action plan | 9 |
| reference laboratory | 9 |
| year period | 9 |
| pandemic period | 9 |
| public communications | 9 |
| health advisor | 9 |
| added value | 9 |
| sentinel clinics | 9 |
| corona virus | 9 |
| control practitioners | 9 |
| first language | 9 |
| rapid assessment | 9 |
| older people | 9 |
| reasoned action | 9 |
| public response | 9 |
| biomedical knowledge | 9 |
| employment status | 9 |
| limited access | 9 |
| workforce reduction | 9 |
| aboriginal people | 9 |
| first case | 9 |
| culturally safe | 9 |
| social sciences | 9 |
| ipv interventions | 9 |
| population size | 9 |
| client aggression | 9 |
| care settings | 9 |
| limited health | 9 |
| provincial cdcs | 9 |
| health metrics | 9 |
| communication strategies | 9 |
| care services | 9 |
| assessed using | 9 |
| national survey | 9 |
| seasonal epidemics | 9 |
| long term | 9 |
| verbal abuse | 9 |
| health framework | 9 |
| hygiene practices | 9 |
| health decision | 9 |
| distancing measures | 9 |
| health offi | 9 |
| eu policy | 9 |
| people aged | 9 |
| intervention measures | 9 |
| kampong cham | 9 |
| real world | 9 |
| within days | 9 |
| medical education | 9 |
| factors related | 9 |
| tb dispensary | 9 |
| outbreak response | 9 |
| sick leave | 9 |
| results indicate | 9 |
| model assumptions | 9 |
| study participants | 9 |
| statistical methods | 9 |
| intellectual content | 9 |
| standard secondary | 9 |
| socioeconomic status | 9 |
| control programs | 9 |
| indigenous participants | 9 |
| pub key | 9 |
| multivariate logistic | 9 |
| family cluster | 9 |
| calculated using | 9 |
| perceived efficacy | 9 |
| data end | 9 |
| case definition | 9 |
| study protocol | 9 |
| malaria control | 8 |
| exclusion criteria | 8 |
| lung disease | 8 |
| mainland china | 8 |
| gender differences | 8 |
| findings suggest | 8 |
| education levels | 8 |
| critical role | 8 |
| chronic obstructive | 8 |
| quality improvement | 8 |
| load index | 8 |
| underlying medical | 8 |
| coverage rates | 8 |
| year old | 8 |
| public sector | 8 |
| subject matter | 8 |
| recall bias | 8 |
| information sharing | 8 |
| hospital preparedness | 8 |
| review papers | 8 |
| infectious respiratory | 8 |
| vaccine coverage | 8 |
| among patients | 8 |
| public education | 8 |
| may result | 8 |
| salmonella thompson | 8 |
| eid threats | 8 |
| health programs | 8 |
| maastricht treaty | 8 |
| kitchen hygiene | 8 |
| vaccination status | 8 |
| next pandemic | 8 |
| precaution adoption | 8 |
| long treatment | 8 |
| towards youth | 8 |
| son province | 8 |
| tobacco smoke | 8 |
| minority groups | 8 |
| laboratory testing | 8 |
| thematic analysis | 8 |
| tertiary hospitals | 8 |
| hospital outbreak | 8 |
| data used | 8 |
| allowed us | 8 |
| professionals working | 8 |
| mental disorders | 8 |
| tested positive | 8 |
| one year | 8 |
| surge capacity | 8 |
| flu outbreak | 8 |
| alcohol consumption | 8 |
| ebola response | 8 |
| three times | 8 |
| intervention strategy | 8 |
| resource allocation | 8 |
| welfare employees | 8 |
| lower level | 8 |
| major pandemic | 8 |
| respiratory diseases | 8 |
| specific capacities | 8 |
| united kingdom | 8 |
| mers survivors | 8 |
| viral load | 8 |
| stigma scale | 8 |
| different regions | 8 |
| conducting wildlife | 8 |
| livestock management | 8 |
| disease patients | 8 |
| behavioral aspects | 8 |
| research agenda | 8 |
| specific health | 8 |
| influenza among | 8 |
| adult population | 8 |
| perceptions towards | 8 |
| collected using | 8 |
| particularly important | 8 |
| three months | 8 |
| cases occurred | 8 |
| factors affecting | 8 |
| th april | 8 |
| secondary care | 8 |
| behavioural responses | 8 |
| making process | 8 |
| human rights | 8 |
| european commission | 8 |
| also identified | 8 |
| eid control | 8 |
| exposure groups | 8 |
| family planning | 8 |
| system delay | 8 |
| surveillance efforts | 8 |
| statistical package | 8 |
| latin america | 8 |
| absence among | 8 |
| change models | 8 |
| emergency departments | 8 |
| tertiary education | 8 |
| higher proportion | 8 |
| may help | 8 |
| one review | 8 |
| total score | 8 |
| epidemiological investigation | 8 |
| pandemic risk | 8 |
| rural cambodia | 8 |
| chiang rai | 8 |
| free text | 8 |
| household members | 8 |
| ipv programming | 8 |
| european public | 8 |
| starting point | 8 |
| key role | 8 |
| descriptive study | 8 |
| health conditions | 8 |
| epidemiological parameters | 8 |
| within mz | 8 |
| communicable disease | 8 |
| northern territory | 8 |
| factor scores | 8 |
| child health | 8 |
| korean version | 8 |
| commonly used | 8 |
| death among | 8 |
| health specialists | 8 |
| total task | 8 |
| vulnerable populations | 8 |
| identifiable data | 8 |
| arabia reported | 8 |
| effective communication | 8 |
| planned behavior | 8 |
| first wave | 8 |
| implementation process | 8 |
| time periods | 8 |
| influenza seasons | 8 |
| developed countries | 8 |
| infection among | 8 |
| emerging health | 8 |
| recommended group | 8 |
| yemeni hcps | 8 |
| testing among | 8 |
| human research | 8 |
| indirect effects | 8 |
| geographic regions | 8 |
| data support | 8 |
| effective intervention | 8 |
| pacific region | 8 |
| content analysis | 8 |
| control processes | 8 |
| advisory committees | 8 |
| higher among | 8 |
| health informatics | 8 |
| supplementary material | 8 |
| influenza vaccines | 8 |
| vapour pressure | 8 |
| wearing behavior | 8 |
| across different | 8 |
| health issue | 8 |
| data collectors | 8 |
| ipv prevention | 8 |
| conducted using | 8 |
| collect data | 8 |
| low vulnerability | 8 |
| papers included | 8 |
| cortisol concentration | 8 |
| antimicrobial resistance | 8 |
| also included | 8 |
| confi rmed | 8 |
| relevant eu | 8 |
| primary healthcare | 8 |
| study aims | 8 |
| knowledge score | 8 |
| three consecutive | 8 |
| received training | 8 |
| disease emergence | 8 |
| current status | 8 |
| publishing house | 8 |
| medium business | 8 |
| human enteroviruses | 8 |
| response system | 8 |
| among people | 8 |
| natural history | 7 |
| influenza outbreaks | 7 |
| outbreak detection | 7 |
| suicide method | 7 |
| among hiv | 7 |
| will need | 7 |
| gdd rc | 7 |
| patients infected | 7 |
| open source | 7 |
| data interpretation | 7 |
| worth noting | 7 |
| research project | 7 |
| study may | 7 |
| human resources | 7 |
| national pandemic | 7 |
| time period | 7 |
| study provides | 7 |
| factors including | 7 |
| continuous variables | 7 |
| behavioural changes | 7 |
| backward stepwise | 7 |
| last decade | 7 |
| respiratory symptoms | 7 |
| regional office | 7 |
| exact test | 7 |
| upper limit | 7 |
| twin study | 7 |
| chronic hepatitis | 7 |
| among small | 7 |
| international development | 7 |
| high priority | 7 |
| adequate knowledge | 7 |
| enterovirus cases | 7 |
| significant change | 7 |
| summer months | 7 |
| ili activity | 7 |
| immunization program | 7 |
| vaccine development | 7 |
| study findings | 7 |
| grey literature | 7 |
| previously described | 7 |
| food preparation | 7 |
| isolation rates | 7 |
| ebola risk | 7 |
| international concern | 7 |
| one hand | 7 |
| health condition | 7 |
| relatively small | 7 |
| ill patients | 7 |
| test results | 7 |
| islander children | 7 |
| nile virus | 7 |
| world settings | 7 |
| symptomatic cases | 7 |
| health providers | 7 |
| public knowledge | 7 |
| health resources | 7 |
| level information | 7 |
| technical support | 7 |
| individual health | 7 |
| clinical management | 7 |
| full text | 7 |
| syncytial virus | 7 |
| economic analysis | 7 |
| standard deviations | 7 |
| health advice | 7 |
| sampling method | 7 |
| across reviews | 7 |
| regional centers | 7 |
| experiencing ipv | 7 |
| vulnerable migrants | 7 |
| stress levels | 7 |
| level health | 7 |
| eu national | 7 |
| coronavirus pneumonia | 7 |
| health capacity | 7 |
| seeking behavior | 7 |
| aggregate data | 7 |
| rate per | 7 |
| policy development | 7 |
| significantly lower | 7 |
| address ipv | 7 |
| informal healthcare | 7 |
| juvenile justice | 7 |
| perceived threat | 7 |
| local epidemic | 7 |
| origin influenza | 7 |
| study using | 7 |
| higher rates | 7 |
| path analysis | 7 |
| knowledge among | 7 |
| data generated | 7 |
| kong older | 7 |
| home advice | 7 |
| indigenous people | 7 |
| age distribution | 7 |
| response context | 7 |
| four regions | 7 |
| test kits | 7 |
| ethical challenges | 7 |
| injection equipment | 7 |
| australian pandemic | 7 |
| ict use | 7 |
| two weeks | 7 |
| health management | 7 |
| susceptible individual | 7 |
| working age | 7 |
| virologic data | 7 |
| fear appeals | 7 |
| new infections | 7 |
| first step | 7 |
| like illnesses | 7 |
| chulalongkorn university | 7 |
| medical conditions | 7 |
| management system | 7 |
| disease caused | 7 |
| experiencing intimate | 7 |
| provincial health | 7 |
| response efforts | 7 |
| eu policies | 7 |
| measured using | 7 |
| human development | 7 |
| economic impact | 7 |
| sexual partners | 7 |
| included articles | 7 |
| model fit | 7 |
| long delays | 7 |
| english language | 7 |
| adoption process | 7 |
| will allow | 7 |
| take part | 7 |
| county hospitals | 7 |
| related information | 7 |
| tb among | 7 |
| flu pandemic | 7 |
| west nile | 7 |
| identifiable phi | 7 |
| per week | 7 |
| effective hand | 7 |
| confirmed influenza | 7 |
| human infectious | 7 |
| among youth | 7 |
| preventive behaviour | 7 |
| healthcare professionals | 7 |
| rectal swabs | 7 |
| outpatient consultations | 7 |
| pattern ii | 7 |
| high prevalence | 7 |
| infected patients | 7 |
| medical students | 7 |
| also observed | 7 |
| individuals within | 7 |
| seasonal peak | 7 |
| clinical features | 7 |
| related health | 7 |
| mers death | 7 |
| made available | 7 |
| behavioural scientists | 7 |
| response bias | 7 |
| participating businesses | 7 |
| outbreak period | 7 |
| provider state | 7 |
| winter months | 7 |
| better understand | 7 |
| personal computers | 7 |
| across countries | 7 |
| household questionnaire | 7 |
| saharan africa | 7 |
| susceptible population | 7 |
| positively associated | 7 |
| higher motivation | 7 |
| predictive value | 7 |
| among children | 7 |
| epidemic curve | 7 |
| text review | 7 |
| health perspective | 7 |
| influenza control | 7 |
| health infrastructure | 7 |
| younger age | 7 |
| renal disease | 7 |
| early phase | 7 |
| level public | 7 |
| information behavior | 7 |
| increasing trend | 7 |
| nantong prefecture | 7 |
| target groups | 7 |
| intervention design | 7 |
| also asked | 7 |
| severe complications | 7 |
| adequate level | 7 |
| care centers | 7 |
| will also | 7 |
| related knowledge | 7 |
| lowest total | 7 |
| year age | 7 |
| past three | 7 |
| related deaths | 7 |
| infectious pathogen | 7 |
| sentinel hospitals | 7 |
| diagnostic delay | 7 |
| best practices | 7 |
| research council | 7 |
| case studies | 7 |
| preparedness plan | 7 |
| social workers | 7 |
| pneumococcal polysaccharide | 7 |
| significant association | 7 |
| health intervention | 7 |
| building capacity | 7 |
| small proportion | 7 |
| included within | 7 |
| among key | 7 |
| based secondary | 7 |
| quality control | 7 |
| disease epidemic | 7 |
| related variables | 7 |
| healthcare facilities | 7 |
| preparedness capacity | 7 |
| limited capacity | 7 |
| per month | 7 |
| general hospital | 7 |
| collect information | 7 |
| australian government | 7 |
| observational study | 7 |
| electronic health | 7 |
| suicide victims | 7 |
| traumatic experiences | 7 |
| also important | 7 |
| influenza risk | 7 |
| welfare system | 7 |
| residential care | 7 |
| use among | 7 |
| low health | 7 |
| small number | 7 |
| systems strengthening | 7 |
| many people | 7 |
| pandemic management | 7 |
| patients among | 7 |
| related questions | 7 |
| research group | 7 |
| quality assurance | 7 |
| fatality rate | 7 |
| retrospective studies | 7 |
| core public | 7 |
| time rt | 7 |
| virus circulation | 7 |
| i think | 7 |
| reported days | 7 |
| specific mortality | 7 |
| studies included | 7 |
| resistant infection | 7 |
| temporal variation | 7 |
| respiratory syncytial | 7 |
| reduce risk | 7 |
| human behavior | 7 |
| three main | 7 |
| global trends | 7 |
| directorate general | 7 |
| population density | 6 |
| limited number | 6 |
| suicide deaths | 6 |
| boundary violations | 6 |
| health crisis | 6 |
| sd monetary | 6 |
| international classification | 6 |
| febrile illness | 6 |
| emergency contexts | 6 |
| practices among | 6 |
| mental pressure | 6 |
| influential policy | 6 |
| distributed processing | 6 |
| perceived effectiveness | 6 |
| research findings | 6 |
| selection bias | 6 |
| online platform | 6 |
| traditional media | 6 |
| hygiene compliance | 6 |
| patients aged | 6 |
| hubei province | 6 |
| information systems | 6 |
| annual influenza | 6 |
| results show | 6 |
| novel avian | 6 |
| human infections | 6 |
| twenty years | 6 |
| among older | 6 |
| practices regarding | 6 |
| contact patterns | 6 |
| three regions | 6 |
| current analysis | 6 |
| ethical review | 6 |
| precautionary measures | 6 |
| data reported | 6 |
| environmental health | 6 |
| highest level | 6 |
| practices related | 6 |
| northern region | 6 |
| higher odds | 6 |
| preparedness efforts | 6 |
| social norms | 6 |
| among chinese | 6 |
| guangzhou cdc | 6 |
| educational tool | 6 |
| disease burden | 6 |
| health spending | 6 |
| system actors | 6 |
| bivariate analysis | 6 |
| higher scores | 6 |
| richard title | 6 |
| center staff | 6 |
| pathogen transmission | 6 |
| eastern province | 6 |
| canadian aboriginal | 6 |
| medical costs | 6 |
| sociodemographic factors | 6 |
| effective interventions | 6 |
| mers infection | 6 |
| hospital emergency | 6 |
| analysis revealed | 6 |
| term sickness | 6 |
| severe enterovirus | 6 |
| health implications | 6 |
| included papers | 6 |
| data processing | 6 |
| case reports | 6 |
| related outcomes | 6 |
| diagnostic tests | 6 |
| tb care | 6 |
| key outcomes | 6 |
| simple random | 6 |
| four weeks | 6 |
| eid events | 6 |
| mean score | 6 |
| public policy | 6 |
| based information | 6 |
| previous research | 6 |
| research methods | 6 |
| ngs technologies | 6 |
| wearing face | 6 |
| east queensland | 6 |
| tic concepts | 6 |
| influenza mitigation | 6 |
| indigenous communities | 6 |
| service delivery | 6 |
| gbd study | 6 |
| enclosed public | 6 |
| five studies | 6 |
| review committee | 6 |
| mild cases | 6 |
| attitude scores | 6 |
| coordination among | 6 |
| information seeking | 6 |
| author details | 6 |
| violent suicide | 6 |
| cases occurring | 6 |
| care physicians | 6 |
| per year | 6 |
| strongly associated | 6 |
| us centers | 6 |
| key stakeholders | 6 |
| expert perceptions | 6 |
| another limitation | 6 |
| point scale | 6 |
| written consent | 6 |
| getting ebola | 6 |
| emerging pandemic | 6 |
| medical emergency | 6 |
| survey respondents | 6 |
| health purposes | 6 |
| health burden | 6 |
| prevention strategies | 6 |
| explanatory factors | 6 |
| clinic staff | 6 |
| tracing team | 6 |
| community mitigation | 6 |
| safety authority | 6 |
| management team | 6 |
| pandemic infl | 6 |
| mask use | 6 |
| prevent influenza | 6 |
| among hcws | 6 |
| immunodeficiency virus | 6 |
| genomic literacy | 6 |
| european parliament | 6 |
| secondary cases | 6 |
| high intensity | 6 |
| relative importance | 6 |
| central level | 6 |
| present findings | 6 |
| health challenges | 6 |
| multiple times | 6 |
| young people | 6 |
| face interviews | 6 |
| local community | 6 |
| relevant articles | 6 |
| rural china | 6 |
| found dead | 6 |
| results indicated | 6 |
| respondents indicated | 6 |
| center general | 6 |
| pattern i | 6 |
| role modelling | 6 |
| overcrowded housing | 6 |
| tobacco control | 6 |
| severe pandemics | 6 |
| maximum score | 6 |
| preventable diseases | 6 |
| disease modelling | 6 |
| scores compared | 6 |
| population mortality | 6 |
| immunization practices | 6 |
| healthcare access | 6 |
| incidence rates | 6 |
| public respond | 6 |
| social networks | 6 |
| wash hands | 6 |
| hospital phe | 6 |
| level actions | 6 |
| related behaviours | 6 |
| military health | 6 |
| sectional telephone | 6 |
| community transmission | 6 |
| rates among | 6 |
| first outbreak | 6 |
| may increase | 6 |
| health programme | 6 |
| pandemic costs | 6 |
| preparedness activities | 6 |
| telephone surveys | 6 |
| studies using | 6 |
| participants received | 6 |
| training programs | 6 |
| contact probability | 6 |
| major public | 6 |
| indigenous individuals | 6 |
| coping strategies | 6 |
| salt water | 6 |
| skin lesions | 6 |
| performed better | 6 |
| care resources | 6 |
| based intervention | 6 |
| time constraints | 6 |
| new data | 6 |
| program information | 6 |
| among physicians | 6 |
| good level | 6 |
| precautionary principle | 6 |
| infected persons | 6 |
| demographic parameters | 6 |
| seeking behaviour | 6 |
| animal disease | 6 |
| multivariable logistic | 6 |
| intervention group | 6 |
| become ill | 6 |
| theories identified | 6 |
| antiviral drug | 6 |
| natural disasters | 6 |
| social services | 6 |
| epidemiological surveillance | 6 |
| time spent | 6 |
| data showed | 6 |
| human immunodeficiency | 6 |
| southern hemisphere | 6 |
| higher score | 6 |
| severe manifestations | 6 |
| phepr communications | 6 |
| influenza pandemics | 6 |
| suicide risk | 6 |
| behavioural change | 6 |
| northern hemisphere | 6 |
| molecular epidemiology | 6 |
| health clinic | 6 |
| water sources | 6 |
| five districts | 6 |
| pandemic virus | 6 |
| critically reviewed | 6 |
| final sample | 6 |
| sputum smear | 6 |
| legal challenges | 6 |
| interrupted time | 6 |
| statistical power | 6 |
| emergency room | 6 |
| national level | 6 |
| risk management | 6 |
| median age | 6 |
| national university | 6 |
| affected communities | 6 |
| direct contact | 6 |
| survey tool | 6 |
| information cycle | 6 |
| ethical issues | 6 |
| preventive advice | 6 |
| dinner gatherings | 6 |
| one week | 6 |
| information needs | 6 |
| community engagement | 6 |
| behavior among | 6 |
| ili proportions | 6 |
| national public | 6 |
| load score | 6 |
| exposed persons | 6 |
| bat meat | 6 |
| ili sentinel | 6 |
| public place | 6 |
| healthcare costs | 6 |
| provinces reported | 6 |
| modeling assumptions | 6 |
| actions implemented | 6 |
| good health | 6 |
| results also | 6 |
| kap surveys | 6 |
| professional experience | 6 |
| cham province | 6 |
| reported higher | 6 |
| evidence base | 6 |
| theories within | 6 |
| one third | 6 |
| control strategies | 6 |
| inform public | 6 |
| general practitioner | 6 |
| available evidence | 6 |
| lebanese physicians | 6 |
| isolation rate | 6 |
| decision aid | 6 |
| takes place | 6 |
| eat bats | 6 |
| clinical predictors | 6 |
| knowledge scores | 6 |
| next influenza | 6 |
| two core | 6 |
| working experience | 6 |
| cluster cases | 6 |
| consent form | 6 |
| severity category | 6 |
| wearing facemasks | 6 |
| meteorological factors | 6 |
| available data | 6 |
| disaster preparedness | 6 |
| readily available | 6 |
| community level | 6 |
| external funding | 6 |
| mycobacterium tuberculosis | 6 |
| ethical use | 6 |
| influenza symptoms | 6 |
| analysis showed | 6 |
| related factors | 6 |
| alternative medicine | 6 |
| definite diagnosis | 6 |
| antiviral resistance | 6 |
| service sector | 6 |
| adverse events | 6 |
| hospital classification | 6 |
| social security | 6 |
| every year | 6 |
| may provide | 6 |
| control system | 6 |
| software package | 6 |
| shared understandings | 6 |
| one month | 6 |
| practice guidelines | 6 |
| response strategies | 6 |
| among different | 6 |
| recovery stage | 6 |
| health staff | 6 |
| border measures | 6 |
| highest among | 6 |
| kampot province | 6 |
| source code | 6 |
| old female | 6 |
| economic development | 6 |
| liver clinic | 6 |
| rate among | 6 |
| determination theory | 6 |
| clinical data | 6 |
| hiv stigma | 6 |
| seasonal iv | 6 |
| international organization | 6 |
| emerging influenza | 6 |
| datasets used | 6 |
| determine whether | 6 |
| policies actions | 6 |
| planning commission | 6 |
| cited herein | 6 |
| relatively high | 6 |
| digital health | 6 |
| disease emergencies | 6 |
| study results | 6 |
| news media | 6 |
| existing pi | 6 |
| health educators | 6 |
| may affect | 6 |
| preventive behaviors | 6 |
| social research | 6 |
| less physical | 6 |
| symptomatic individuals | 5 |
| salmonella typhimurium | 5 |
| uscdc collaboration | 5 |
| optaids project | 5 |
| first survey | 5 |
| cost components | 5 |
| identify potential | 5 |
| work experience | 5 |
| security efforts | 5 |
| adverse effects | 5 |
| polymerase chain | 5 |
| economically beneficial | 5 |
| ipv using | 5 |
| broad range | 5 |
| temporal pattern | 5 |
| inadvertent disclosure | 5 |
| large numbers | 5 |
| tobacco advertising | 5 |
| bse vcjd | 5 |
| patient health | 5 |
| communities may | 5 |
| among general | 5 |
| mean number | 5 |
| epidemiological analysis | 5 |
| elevator button | 5 |
| filter question | 5 |
| animal interfaces | 5 |
| support among | 5 |
| influenza center | 5 |
| physical health | 5 |
| educational background | 5 |
| clinical manifestations | 5 |
| significant correlation | 5 |
| member state | 5 |
| person compared | 5 |
| alcohol use | 5 |
| broad support | 5 |
| national civil | 5 |
| disease natural | 5 |
| white paper | 5 |
| limited destinations | 5 |
| civil servant | 5 |
| questions related | 5 |
| among individuals | 5 |
| survey conducted | 5 |
| community services | 5 |
| contact information | 5 |
| african ebola | 5 |
| upper level | 5 |
| among injecting | 5 |
| first pages | 5 |
| suicide seasonality | 5 |
| significantly reduced | 5 |
| medicine use | 5 |
| growth rate | 5 |
| government officials | 5 |
| behavior change | 5 |
| shared environmental | 5 |
| mobile phones | 5 |
| preventive actions | 5 |
| three areas | 5 |
| care provider | 5 |
| different ways | 5 |
| random sample | 5 |
| among young | 5 |
| emergency center | 5 |
| genomic epidemiology | 5 |
| relative humidity | 5 |
| positive association | 5 |
| measurement tools | 5 |
| disease survivors | 5 |
| herbal medicine | 5 |
| state residents | 5 |
| different scenarios | 5 |
| aids burden | 5 |
| disease containment | 5 |
| epidemic dynamics | 5 |
| eating bush | 5 |
| remote community | 5 |
| severity assessment | 5 |
| severe respiratory | 5 |
| tuberculosis patients | 5 |
| disease threat | 5 |
| redundant messages | 5 |
| crisis management | 5 |
| polysaccharide vaccine | 5 |
| seasonal vaccine | 5 |
| enterovirus infections | 5 |
| accept pre | 5 |
| central nervous | 5 |
| high proportion | 5 |
| wildlife official | 5 |
| pandemic mitigation | 5 |
| last years | 5 |
| patient care | 5 |
| severe disease | 5 |
| tb suspects | 5 |
| residential building | 5 |
| project scientist | 5 |
| working women | 5 |
| essential services | 5 |
| diseases may | 5 |
| several times | 5 |
| healthy people | 5 |
| past experience | 5 |
| rainy season | 5 |
| literacy model | 5 |
| spss software | 5 |
| work together | 5 |
| average number | 5 |
| effective response | 5 |
| land use | 5 |
| inappropriate use | 5 |
| respondent knew | 5 |
| causal pathways | 5 |
| significantly less | 5 |
| assumptions regarding | 5 |
| behaviours towards | 5 |
| data obtained | 5 |
| among aboriginal | 5 |
| operational models | 5 |
| psychosocial settings | 5 |
| nearly half | 5 |
| provide technical | 5 |
| percentage positive | 5 |
| four hundred | 5 |
| shared water | 5 |
| sleep quality | 5 |
| health researchers | 5 |
| vaccination campaign | 5 |
| diseases control | 5 |
| cross cultural | 5 |
| whose main | 5 |
| applied theories | 5 |
| governmental funding | 5 |
| differential equation | 5 |
| idus will | 5 |
| ethical considerations | 5 |
| existing models | 5 |
| ibm spss | 5 |
| health inequalities | 5 |
| text screening | 5 |
| physiological stress | 5 |
| also significant | 5 |
| hospital hygienists | 5 |
| large sample | 5 |
| meteorological variables | 5 |
| influenza reference | 5 |
| border hiv | 5 |
| health campaigns | 5 |
| also examined | 5 |
| way forward | 5 |
| treatment level | 5 |
| southern province | 5 |
| complementary medicine | 5 |
| selected based | 5 |
| monthly patterns | 5 |
| mers cases | 5 |
| union health | 5 |
| economic impacts | 5 |
| study indicated | 5 |
| results presented | 5 |
| health effects | 5 |
| period began | 5 |
| matter experts | 5 |
| cohort differences | 5 |
| rural communities | 5 |
| practices associated | 5 |
| surveillance database | 5 |
| lifestyle factors | 5 |
| ili values | 5 |
| disease models | 5 |
| business characteristics | 5 |
| used ict | 5 |
| high incidence | 5 |
| vaccination recommendations | 5 |
| modelling studies | 5 |
| linear regression | 5 |
| increasing communication | 5 |
| new infection | 5 |
| ngs data | 5 |
| adults aged | 5 |
| medical services | 5 |
| based study | 5 |
| personal risk | 5 |
| attitudes scores | 5 |
| prevent seasonal | 5 |
| international organizations | 5 |
| national institutes | 5 |
| year follow | 5 |
| potential barriers | 5 |
| wear facemasks | 5 |
| preventive medicine | 5 |
| higher perceived | 5 |
| low level | 5 |
| secondary education | 5 |
| malaria transmission | 5 |
| portuguese population | 5 |
| online teaching | 5 |
| many different | 5 |
| sickness absences | 5 |
| multivariate analysis | 5 |
| growing interest | 5 |
| inverse variance | 5 |
| health expert | 5 |
| significant health | 5 |
| series model | 5 |
| mass media | 5 |
| input data | 5 |
| reduce transmission | 5 |
| american health | 5 |
| study designs | 5 |
| medical record | 5 |
| year olds | 5 |
| educational levels | 5 |
| million cases | 5 |
| attitude toward | 5 |
| bivariate associations | 5 |
| professional groups | 5 |
| health context | 5 |
| fatality ratio | 5 |
| computer simulation | 5 |
| compared using | 5 |
| protective behaviour | 5 |
| sample collection | 5 |
| health authority | 5 |
| absence proportion | 5 |
| one author | 5 |
| software version | 5 |
| clinical trial | 5 |
| containing pandemic | 5 |
| negatively associated | 5 |
| policy decisions | 5 |
| lagos state | 5 |
| direct effect | 5 |
| daily patterns | 5 |
| older respondents | 5 |
| building efforts | 5 |
| will provide | 5 |
| thank dr | 5 |
| twin control | 5 |
| epidemic weeks | 5 |
| preparation areas | 5 |
| previous influenza | 5 |
| sensitive pathogen | 5 |
| asymptomatic carrier | 5 |
| represented within | 5 |
| health events | 5 |
| perceived behavior | 5 |
| hev vp | 5 |
| ethical committee | 5 |
| evolutionary responses | 5 |
| may therefore | 5 |
| medical microbiologists | 5 |
| conducted among | 5 |
| key components | 5 |
| one child | 5 |
| behavior control | 5 |
| among yemeni | 5 |
| obstructive pulmonary | 5 |
| ecos panel | 5 |
| southern thailand | 5 |
| three different | 5 |
| normal distribution | 5 |
| arnhem land | 5 |
| group discussions | 5 |
| trained interviewers | 5 |
| higher practice | 5 |
| also used | 5 |
| awareness regarding | 5 |
| information regarding | 5 |
| perceived response | 5 |
| chain reaction | 5 |
| two clusters | 5 |
| cov outbreak | 5 |
| service providers | 5 |
| behaviour within | 5 |
| improve global | 5 |
| community containment | 5 |
| promising approach | 5 |
| nasopharyngeal swabs | 5 |
| deeper understanding | 5 |
| european food | 5 |
| original search | 5 |
| working days | 5 |
| hiv prevalence | 5 |
| remote communities | 5 |
| strategic plans | 5 |
| study recruitment | 5 |
| better health | 5 |
| hiv transmission | 5 |
| mental illness | 5 |
| two cross | 5 |
| participants provided | 5 |
| social behavioral | 5 |
| australian aboriginal | 5 |
| parasitic diseases | 5 |
| will likely | 5 |
| health genomics | 5 |
| coverage goals | 5 |
| analysis due | 5 |
| stress symptoms | 5 |
| i know | 5 |
| incentives arm | 5 |
| communicating phepr | 5 |
| factors may | 5 |
| molecular biologists | 5 |
| confirmed diagnosis | 5 |
| study subjects | 5 |
| strongly perceived | 5 |
| pulmonary disease | 5 |
| final report | 5 |
| rti consultation | 5 |
| laboratory data | 5 |
| systems need | 5 |
| significant predictor | 5 |
| physical violence | 5 |
| china date | 5 |
| increased motivation | 5 |
| educational differences | 5 |
| tuberculosis control | 5 |
| sexual violence | 5 |
| ebola treatment | 5 |
| cost per | 5 |
| infection wave | 5 |
| communicate phepr | 5 |
| disease dynamics | 5 |
| including diabetes | 5 |
| usual working | 5 |
| independent predictor | 5 |
| lower risk | 5 |
| residential youth | 5 |
| excess mortality | 5 |
| critically ill | 5 |
| based model | 5 |
| severe epidemics | 5 |
| monitoring system | 5 |
| disability pensioning | 5 |
| two stakeholder | 5 |
| kong chinese | 5 |
| rapid survey | 5 |
| care delivery | 5 |
| respir viruses | 5 |
| increasing age | 5 |
| two consecutive | 5 |
| highly contagious | 5 |
| ili cases | 5 |
| australian indigenous | 5 |
| subjective norms | 5 |
| expert opinion | 5 |
| minimum sample | 5 |
| may influence | 5 |
| psychological outcomes | 5 |
| pharmaceutical measures | 5 |
| antibody levels | 5 |
| strong correlation | 5 |
| significant associations | 5 |
| may occur | 5 |
| usual care | 5 |
| salmonella enteritidis | 5 |
| published articles | 5 |
| hospitalization patterns | 5 |
| multiple reviews | 5 |
| meaning units | 5 |
| rural settings | 5 |
| bats live | 5 |
| ei control | 5 |
| smear preparation | 5 |
| health messages | 5 |
| similar results | 5 |
| hev enteroviruses | 5 |
| control procedures | 5 |
| home environment | 5 |
| case report | 5 |
| cases per | 5 |
| influenza type | 5 |
| biases associated | 5 |
| risk communications | 5 |
| laboratory surveillance | 5 |
| health knowledge | 5 |
| health capacities | 5 |
| google search | 5 |
| statistical software | 5 |
| scale ranging | 5 |
| local infection | 5 |
| women preferred | 5 |
| scale salmonella | 5 |
| wildlife disease | 5 |
| chiang mai | 5 |
| greater proportion | 5 |
| testing services | 5 |
| confirmed human | 5 |
| asymptomatic infection | 5 |
| may reduce | 5 |
| capacities identified | 5 |
| per capita | 5 |
| may reflect | 5 |
| review date | 5 |
| productivity loss | 5 |
| fatal cases | 5 |
| old male | 5 |
| prospective study | 5 |
| new media | 5 |
| contextual translation | 5 |
| control study | 5 |
| care utilization | 5 |
| health technology | 5 |
| took place | 5 |
| county tb | 5 |
| study area | 5 |
| short period | 5 |
| food products | 5 |
| university hospital | 5 |
| medical publishing | 5 |
| care setting | 5 |
| guangxi province | 5 |
| health strategy | 5 |
| travel history | 5 |
| chinese medicine | 5 |
| vesicle swabs | 5 |
| determined using | 5 |
| consecutive weeks | 5 |
| isolation period | 5 |
| vulnerable population | 5 |
| least seven | 5 |
| acid test | 5 |
| perceptions regarding | 5 |
| eid prevention | 5 |
| warning system | 5 |
| demographic information | 5 |
| significant independent | 5 |
| chinese national | 5 |
| diseases surveillance | 5 |
| field investigation | 5 |
| healthcare emergencies | 5 |
| selection process | 5 |
| future pandemics | 5 |
| among persons | 5 |
| moderate level | 5 |
| per arm | 5 |
| tools used | 5 |
| age population | 5 |
| mathematical modelling | 5 |
| royal college | 5 |
| among participants | 5 |
| inclusion exclusion | 5 |
| anyone else | 5 |
| research literature | 5 |
| priority groups | 5 |
| individuals years | 5 |
| publicly available | 5 |
| overall response | 5 |
| entire province | 5 |
| pattern iii | 5 |
| emerging diseases | 5 |
| participating health | 5 |
| three seasons | 5 |
| national centre | 5 |
| sectional studies | 5 |
| provincial reference | 5 |
| surveillance purposes | 5 |
| core themes | 5 |
| disease risk | 5 |
| strong public | 5 |
| occurring psychological | 5 |
| binary variable | 5 |
| two family | 5 |
| healthcare delivery | 5 |
| pandemic cost | 5 |
| key areas | 5 |
| pandemic spread | 5 |
| th march | 5 |
| processing model | 5 |
| community action | 5 |
| safety decision | 5 |
| sensitivity analyses | 5 |
| support scale | 5 |
| local governments | 5 |
| system strengthening | 5 |
| environmental samples | 5 |
| overall mortality | 5 |
| pan american | 5 |
| ahi cases | 5 |
| ground frost | 5 |
| time point | 5 |
| ear disease | 5 |
| six studies | 5 |
| spss inc | 5 |
| rapid containment | 5 |
| high school | 5 |
| air frost | 5 |
| several years | 5 |
| public engagement | 5 |
| disability weights | 5 |
| transmission characteristics | 5 |
| data must | 5 |
| two methods | 5 |
| theories across | 5 |
| health action | 5 |
| demographic factors | 5 |
| three years | 5 |
| average peak | 5 |
| agriculture policy | 5 |
| remaining articles | 5 |
| infection outbreaks | 5 |
| current pandemic | 5 |
| two rounds | 5 |
| study shows | 5 |
| item general | 5 |
| regarding wildlife | 5 |
| york city | 5 |
| quarantine orders | 5 |
| overall population | 5 |
| preparedness programmes | 5 |
| attitudes toward | 5 |
| main reason | 5 |
| surveillance program | 5 |
| main outcome | 5 |
| indigenous key | 5 |
| epidemic weekly | 5 |
| data tools | 5 |
| reported herein | 5 |
| factors underlying | 5 |
| burning charcoal | 5 |
| clinical responder | 5 |
| news website | 5 |
| significant proportion | 5 |
| associated factors | 5 |
| positivity rate | 5 |
| infection rate | 5 |
| working men | 5 |
| study demonstrated | 5 |
| village health | 5 |
| pandemic situation | 5 |
| control practices | 5 |
| border healthcare | 5 |
| cooperative agreement | 5 |
| ethics committees | 5 |
| time scan | 5 |
| social factors | 5 |
| routine public | 5 |
| statistical modelling | 5 |
| developing om | 5 |
| series data | 5 |
| first cases | 5 |
| system capacities | 5 |
| vaccine among | 5 |
| four geographic | 5 |
| emergency communication | 4 |
| twin pair | 4 |
| seasonal component | 4 |
| physical exercise | 4 |
| details key | 4 |
| burnout among | 4 |
| indirect transmission | 4 |
| traumatic experience | 4 |
| facemask use | 4 |
| event recovery | 4 |
| different stages | 4 |
| past experiences | 4 |
| care workforce | 4 |
| data set | 4 |
| surveillance information | 4 |
| death associated | 4 |
| different media | 4 |
| respondents exhibited | 4 |
| tb service | 4 |
| approach will | 4 |
| social contact | 4 |
| two families | 4 |
| factors increased | 4 |
| empirical research | 4 |
| may lead | 4 |
| phylogenetic analysis | 4 |
| expert advisory | 4 |
| explanatory power | 4 |
| infect anyone | 4 |
| age category | 4 |
| healthcare staff | 4 |
| four levels | 4 |
| model used | 4 |
| available documentation | 4 |
| everyday life | 4 |
| national strategic | 4 |
| anxiety among | 4 |
| global mortality | 4 |
| rmed cases | 4 |
| report anticipated | 4 |
| related activities | 4 |
| regional differences | 4 |
| pi model | 4 |
| appointed health | 4 |
| differences among | 4 |
| new jersey | 4 |
| chronic kidney | 4 |
| information technology | 4 |
| mutually exclusive | 4 |
| certain groups | 4 |
| wgs data | 4 |
| based self | 4 |
| highest mortality | 4 |
| southwest nigeria | 4 |
| respiratory hygiene | 4 |
| formal education | 4 |
| analysis approach | 4 |
| average length | 4 |
| action plans | 4 |
| emerg infect | 4 |
| fact sheet | 4 |
| gender bias | 4 |
| perceived self | 4 |
| current preventive | 4 |
| low vaccination | 4 |
| free tb | 4 |
| infections occurred | 4 |
| community psychobehavioral | 4 |
| strains isolated | 4 |
| preparedness capacities | 4 |
| decision support | 4 |
| next step | 4 |
| sectional data | 4 |
| psychological behaviour | 4 |
| patient information | 4 |
| diabetes mellitus | 4 |
| health communications | 4 |
| community setting | 4 |
| behavior composite | 4 |
| two regions | 4 |
| chronic conditions | 4 |
| manuscript drafting | 4 |
| demonstration program | 4 |
| indexes will | 4 |
| may explain | 4 |
| service workers | 4 |
| health pandemic | 4 |
| need help | 4 |
| acid detection | 4 |
| elderly patients | 4 |
| conceptualize manuscript | 4 |
| critical issues | 4 |
| line list | 4 |
| service policy | 4 |
| avoidance behaviors | 4 |
| health agency | 4 |
| community clinic | 4 |
| may indicate | 4 |
| generation sequencing | 4 |
| based ipv | 4 |
| vaccination process | 4 |
| salmonella serotypes | 4 |
| human primates | 4 |
| hiv seroprevalence | 4 |
| reference centers | 4 |
| contact transmission | 4 |
| among hcps | 4 |
| district hospital | 4 |
| prevention measures | 4 |
| suspected case | 4 |
| using online | 4 |
| effective public | 4 |
| pandemic time | 4 |
| survey questions | 4 |
| european guidelines | 4 |
| true false | 4 |
| mathematical modellers | 4 |
| surveys conducted | 4 |
| communication routes | 4 |
| strengthen health | 4 |
| government area | 4 |
| mobility data | 4 |
| clear need | 4 |
| online health | 4 |
| regarding pandemic | 4 |
| four types | 4 |
| related mortality | 4 |
| suggested improvements | 4 |
| cognitive variables | 4 |
| delivery systems | 4 |
| migration patterns | 4 |
| also considered | 4 |
| death certificate | 4 |
| primary research | 4 |
| injection drug | 4 |
| surface samples | 4 |
| much greater | 4 |
| positive predictive | 4 |
| virus transmission | 4 |
| canadian perspective | 4 |
| questions included | 4 |
| training sessions | 4 |
| disease syndromes | 4 |
| snow lying | 4 |
| policy decision | 4 |
| approximately half | 4 |
| census data | 4 |
| street intercept | 4 |