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Centers for Disease Control and Prevention |
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Protect Your Family From Meningitis |
Keeping up to date with recommended immunizations is the best defense against meningococcal disease. Maintaining healthy habits, like getting plenty of rest and not coming into close contact with people who are sick, can also help. |
| Centers | 0.317243 |
| future infections | 0.398399 |
| CDC | 0.345879 |
| bacteria | 0.321289 |
| United States | 0.410315 |
| boyfriend | 0.324427 |
| early recognition | 0.406985 |
| Page | 0.31777 |
| prophylaxis | 0.367772 |
| meningococcal vaccines | 0.823862 |
| underlying immune deficiency | 0.48738 |
| Prevention | 0.317208 |
| effective | 0.319356 |
| Disease Control | 0.39791 |
| direct contact | 0.398319 |
| immunizations | 0.328224 |
| patient | 0.31786 |
| close contact | 0.422641 |
| lifelong protection | 0.401106 |
| local health departments | 0.481905 |
| certain situations | 0.396333 |
| disclaimer | 0.324923 |
| usage guidelines | 0.397105 |
|
| rest | 0.321318 |
| meningococcal vaccination | 0.636849 |
| preteens | 0.32705 |
| chance | 0.319807 |
| plenty | 0.322788 |
| people | 0.36033 |
| quick medical attention | 0.495007 |
| saliva | 0.326159 |
| symptoms | 0.318803 |
| doctor | 0.317426 |
| previous infection | 0.397911 |
| girlfriend | 0.323784 |
| best defense | 0.419623 |
| meningococcal disease | 0.967854 |
| serogroups | 0.319476 |
| Content | 0.317293 |
| oral secretions | 0.412465 |
| Neisseria | 0.332871 |
| close contacts | 0.508828 |
| antibiotics | 0.323158 |
| spit | 0.322701 |
| Examples | 0.318621 |
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Centers for Disease Control and Prevention |
Html |
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Creating incentives to improve population health |
null |
| health care spending | 0.546352 |
| similarly steep discount | 0.459285 |
| health gains | 0.501478 |
| publicly financed health | 0.504289 |
| Simon Fraser University | 0.454754 |
| health care interventions | 0.517698 |
| gross domestic product | 0.45801 |
| health disparities | 0.506453 |
| supervised physical activity | 0.457208 |
| population health inequalities | 0.610723 |
| health technology | 0.479049 |
| merit pay schemes | 0.459974 |
| safety surveillance systems | 0.457724 |
| inner-city health clinic | 0.501598 |
| population health | 0.989837 |
| sophisticated health care | 0.516213 |
| universal child care | 0.468494 |
| feasible political agenda | 0.468087 |
| health home | 0.47472 |
| health status | 0.617346 |
| population health agenda | 0.668575 |
| high-quality comparative evidence | 0.461024 |
| political commitment | 0.466969 |
| economic stimulus package | 0.460066 |
| low socioeconomic status | 0.467961 |
|
| broader political commitment | 0.464706 |
| concrete health gains | 0.500508 |
| incentives articles | 0.450965 |
| identical health status | 0.52169 |
| municipalities large prizes | 0.454226 |
| Robert Wood Johnson | 0.459113 |
| incentives | 0.475018 |
| Health status variability | 0.521892 |
| nonmedical improvement strategies | 0.470606 |
| population health improvement | 0.825192 |
| health care | 0.698159 |
| durable reward systems | 0.463446 |
| teacher certification programs | 0.466133 |
| community health status | 0.521152 |
| better population health | 0.557057 |
| Chronic Disease discuss | 0.464583 |
| Saskatchewan S7K 1N1 | 0.456928 |
| senior policy makers | 0.459177 |
| population health outcomes | 0.559121 |
| policy makers | 0.465888 |
| reduced childhood obesity | 0.454458 |
| effective incentives | 0.454203 |
| future health benefits | 0.509082 |
| political dilemma | 0.46771 |
|
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Centers for Disease Control and Prevention |
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Information for Specific Groups - Rabies |
Index of Rabies Information for Travelers, Veterinarians, Doctors, and Diagnostic Libraries. |
| reason | 0.422299 |
| additional diagnostic testing | 0.595645 |
| CDC | 0.42293 |
| clients | 0.420283 |
| public health role | 0.618918 |
| United States | 0.62787 |
| precautions | 0.427706 |
| domestic animal | 0.523394 |
| primary source | 0.517431 |
| skunks | 0.430009 |
| Veterinarians | 0.423931 |
| variant typing | 0.515606 |
| rabies information | 0.788427 |
| formalin-fixed tissues | 0.515868 |
| immunoglobulin | 0.432556 |
| rabies vaccine | 0.764659 |
| staff play | 0.52007 |
| client animals | 0.513414 |
|
| rabies | 0.935422 |
| indigenous rabid bats | 0.643955 |
| encounter | 0.425904 |
| confirmation | 0.424358 |
| countries | 0.421729 |
| community | 0.420691 |
| raccoons | 0.430238 |
| people | 0.420024 |
| continents | 0.430475 |
| unexplained encephalitis | 0.528196 |
| exposures | 0.428041 |
| postexposure | 0.437048 |
| rabid dogs | 0.541794 |
| postmortem | 0.430678 |
| risk | 0.44009 |
| Antarctica | 0.430569 |
| humans | 0.419465 |
|
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| 6756 |
Centers for Disease Control and Prevention |
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en |
Global Health - South Africa - CDC's HIV Prevention Programs: Most At-Risk Populations |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
|
| key risk populations | 0.36954 |
| sexually transmitted infection | 0.213284 |
| specific HIV prevention | 0.307526 |
| coverage gaps | 0.22724 |
| potentially weak family | 0.226363 |
| most-at-risk key populations | 0.415845 |
| HIV epidemic | 0.249263 |
| HIV prevention | 0.340058 |
| HIV prevalence rates | 0.286239 |
| relatively new focus | 0.220241 |
| key populations research | 0.357077 |
| key populations | 0.938221 |
| Future prevention efforts | 0.230195 |
| comprehensive prevention services | 0.241015 |
| social support systems | 0.227535 |
|
| at-risk key populations | 0.39332 |
| HIV transmission | 0.287685 |
| Human Sciences Research | 0.23939 |
| national HIV-prevention campaigns | 0.226364 |
| Global AIDS Program | 0.228057 |
| At-risk populations | 0.349247 |
| average HIV prevalence | 0.309263 |
| key CDC South | 0.283398 |
| HIV prevention strategies | 0.28697 |
| high-risk populations | 0.287999 |
| South African AIDS | 0.244448 |
| respondent-driven sampling methodology | 0.210441 |
| South African National | 0.23308 |
| CDC South Africa | 0.806512 |
|
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| 6993 |
Centers for Disease Control and Prevention |
Html |
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Drowning - United States, 2005-2009 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| death certificate data | 0.477749 |
| U.S. hospital EDs | 0.339155 |
| recreational water settings | 0.421024 |
| Nonfatal estimates | 0.404033 |
| National Child Death | 0.35299 |
| nonfatal drowning | 0.947715 |
| nonfatal drowning injuries | 0.67672 |
| unintentional drownings | 0.340746 |
| children | 0.522442 |
| nonfatal data | 0.440295 |
| Nonfatal rates | 0.432798 |
| formal swimming lessons | 0.410854 |
| National Electronic Injury | 0.522462 |
| Electronic Injury Surveillance | 0.518466 |
| greater risk | 0.346252 |
| survival swimming skills | 0.425223 |
| unintentional injury death | 0.501531 |
| Child Death Review | 0.403681 |
| National Vital Statistics | 0.537327 |
| swimming pools | 0.486355 |
| Unintentional Injury Prevention | 0.37123 |
| nonfatal cases | 0.471002 |
| older age groups | 0.399303 |
| persons | 0.377743 |
|
| fatal incidents | 0.410822 |
| Injury Program | 0.380341 |
| United States | 0.836653 |
| age group | 0.471665 |
| death rate | 0.64931 |
| transportation injury death | 0.351962 |
| U.S. EDs.§ Data | 0.350222 |
| injury death worldwide | 0.389379 |
| nonfatal drowning patients | 0.682455 |
| nonfatal incidents | 0.486639 |
| cardiopulmonary resuscitation | 0.37202 |
| overall death rate | 0.425181 |
| vehicle crash–related drownings | 0.359411 |
| death certificates | 0.341579 |
| boating-related drowning | 0.4477 |
| drowning death rates | 0.572161 |
| nonfatal unintentional drowning | 0.794545 |
| nonfatal drowning rates | 0.72053 |
| estimated nonfatal drownings | 0.49466 |
| nonfatal injury rates | 0.565754 |
| highest rates | 0.333147 |
| fatal drowning victims | 0.545862 |
| Fatal unintentional drowning | 0.626211 |
| nonfatal drownings | 0.640677 |
|
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Centers for Disease Control and Prevention |
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Influenza Activity - United States, 2012-13 Season andComposition of the 2013-14 Influenza Vaccine |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| influenza | 0.949229 |
| 2012-13 influenza season | 0.564319 |
| variant influenza viruses | 0.601319 |
| influenza hospitalization surveillance | 0.594063 |
| widespread influenza activity | 0.593163 |
| United States | 0.66482 |
| Influenza Div | 0.555487 |
| novel influenza | 0.661935 |
| influenza antiviral drugs | 0.563049 |
| influenza A viruses | 0.645176 |
| U.S. influenza season | 0.576473 |
| novel avian influenza | 0.597454 |
| recent influenza seasons | 0.55505 |
| clinician-ordered influenza testing | 0.558402 |
| Hemisphere influenza vaccine | 0.656224 |
| seasonal influenza viruses | 0.600362 |
| influenza B component | 0.566448 |
| novel influenza viruses | 0.628549 |
| influenza B viruses | 0.743224 |
| influenza activity* | 0.581579 |
| variant influenza | 0.662865 |
| weekly influenza activity | 0.581419 |
|
| laboratory-confirmed influenza | 0.604441 |
| influenza A virus | 0.570376 |
| influenza vaccine | 0.676843 |
| influenza season | 0.835736 |
| novel influenza virus | 0.573668 |
| influenza activity | 0.76174 |
| regional influenza activity | 0.581759 |
| Northern Hemisphere influenza | 0.655108 |
| influenza virus specimens | 0.597461 |
| previous influenza season | 0.589974 |
| progressive influenza illness | 0.55844 |
| influenza seasons | 0.610198 |
| laboratory-confirmed influenza virus | 0.587995 |
| influenza type | 0.56169 |
| Influenza Division | 0.584487 |
| influenza trivalent vaccines | 0.577012 |
| influenza viruses | 0.710908 |
| annual influenza vaccination | 0.560777 |
| influenza virus surveillance | 0.602527 |
| influenza virus | 0.648504 |
| summer influenza activity | 0.569631 |
| influenza B co-infections | 0.560496 |
|
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Centers for Disease Control and Prevention |
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Artículos - Recursos de la campaña - Consejos de exfumadores |
Recursos de la campaña Consejos de exfumadores que muestra casos reales de personas que padecen afecciones por fumar o por la exposición al humo de segunda mano. |
| Archivo Apple Quicktime | 0.617516 |
| Archivo RealPlayer | 0.550608 |
| campaña consejos | 0.996371 |
| Archivo Zip Comprimido | 0.627172 |
| Archivo Microsoft PowerPoint | 0.671032 |
|
| Archivo Microsoft Excel | 0.636421 |
| Archivo Adobe PDF | 0.629933 |
| Archivo Microsoft | 0.872531 |
| Archivo Microsoft Word | 0.66496 |
|
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Centers for Disease Control and Prevention |
Html |
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Global Health - 2013 Global Health Security Demonstration Projects |
null |
| exercise development | 0.655288 |
| international concern | 0.66195 |
| endorsement | 0.539201 |
| enterovirus | 0.551195 |
| demonstration projects | 0.847801 |
| accurate diagnosis | 0.674468 |
| important progress | 0.717335 |
| EOCs | 0.5302 |
| National Health Laboratory | 0.861813 |
| Vietnam’s capacity | 0.703844 |
| emergency management | 0.670888 |
| multiple respiratory pathogens | 0.813153 |
| sharing | 0.530309 |
| Fiscal | 0.539609 |
| conceptual referral network | 0.795705 |
| sample tracking | 0.678745 |
| Resource Center | 0.670681 |
| Training Vietnam staff | 0.861111 |
| laboratory diagnostics | 0.70339 |
| key MOH staff | 0.819423 |
| District Health Information | 0.845532 |
| permanent facility | 0.671188 |
| physical network | 0.671043 |
| outbreak investigations | 0.663548 |
| U.S. government partners | 0.856807 |
|
| interim EOC | 0.865665 |
| laboratory systems perspective | 0.821942 |
| laboratory samples | 0.706055 |
| Content source | 0.666093 |
| regional public health | 0.83253 |
| HHS | 0.542887 |
| laboratory functions | 0.721883 |
| specimen | 0.53061 |
| public health event | 0.822365 |
| public health | 0.875201 |
| polymerase chain reaction | 0.819495 |
| physical space | 0.678597 |
| highly functioning emergency | 0.856342 |
| advanced EOC systems | 0.970947 |
| lab data availability | 0.818427 |
| non-federal site | 0.682814 |
| EOC physical layout | 0.963907 |
| infectious disease | 0.674855 |
| CDC protocols | 0.707639 |
| Uganda | 0.582472 |
| PEPFAR transportation hubs | 0.836871 |
| information gathering | 0.69657 |
| public health laboratory | 0.8518 |
| operating centers | 0.69187 |
|
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Centers for Disease Control and Prevention |
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Brain Injury Safety Tips and Prevention | HEADS UP | CDC Injury Center |
null |
| high school | 0.903985 |
| athletes proper techniques | 0.424195 |
| school soccer players | 0.354346 |
| health care provider | 0.472457 |
| high school cheerleaders | 0.393596 |
| concussion Work | 0.409605 |
| Enforce Safe Play | 0.370067 |
| high school lacrosse | 0.411164 |
| rules | 0.360056 |
| athletes proper fielding | 0.42503 |
| safety | 0.361223 |
| contact | 0.364166 |
| concussion symptom reporting | 0.452795 |
| concussion symptoms | 0.453159 |
| possible concussion report | 0.440911 |
| athletes proper takedown | 0.382533 |
| high school basketball | 0.420084 |
| concussion education | 0.406624 |
| athletes | 0.605249 |
| event administrator | 0.546135 |
| close eye | 0.402039 |
| fair play | 0.523789 |
| good condition | 0.65836 |
| concussion rates | 0.417689 |
| concussion | 0.71324 |
|
| concussion information | 0.418516 |
| high school baseball | 0.372724 |
| proper fielding techniques | 0.384639 |
| Athletes May Try | 0.36861 |
| States High School | 0.367826 |
| game | 0.388069 |
| possible concussion | 0.546731 |
| school ice hockey | 0.451851 |
| high school soccer | 0.39987 |
| hazards | 0.354558 |
| High School Athletics | 0.364272 |
| helmet | 0.36119 |
| Culture Around Concussion | 0.404487 |
| high school athletes | 0.540176 |
| sportsmanship | 0.366954 |
| high school ice | 0.451565 |
| padding | 0.359496 |
| potential concussion | 0.409504 |
| young athletes | 0.438386 |
| safe sport culture | 0.356216 |
| concussion law | 0.40294 |
| youth sports coach | 0.355921 |
| high school football | 0.414018 |
| Sports-Related Concussions | 0.388795 |
|
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Centers for Disease Control and Prevention |
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Using Small-Area Estimation to Calculate the Prevalence ofSmoking by Subcounty Geographic Areas in King County, Washington,Behavioral Risk Factor Surveillance System, 2009-2013 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| smoking rates | 0.398963 |
| smoking prevalence rates | 0.397542 |
| data | 0.518676 |
| census tracts | 0.780352 |
| multiple imputation | 0.568715 |
| Risk Factor Surveillance | 0.424642 |
| Prev Chronic Dis | 0.413524 |
| King County HRAs | 0.391962 |
| King County sample | 0.418574 |
| nearest intersection question | 0.446671 |
| BRFSS data | 0.398013 |
| zip codes | 0.504769 |
| single census tract | 0.443148 |
| County health reporting | 0.393922 |
| census tract data | 0.462701 |
| census blocks | 0.403175 |
| sample size | 0.570247 |
| census tract level | 0.670387 |
| HRA levels | 0.39096 |
| hierarchical Bayesian models | 0.411333 |
| SAE census tract | 0.446261 |
| respondents | 0.396025 |
| King County BRFSS | 0.401269 |
| census geographic units | 0.42468 |
|
| census tract | 0.968157 |
| Behavioral Risk Factor | 0.423721 |
| direct estimation method | 0.401084 |
| small area estimation | 0.512294 |
| nearest intersection | 0.504123 |
| direct estimation | 0.497156 |
| zip code | 0.456015 |
| King County health | 0.406471 |
| percentage points | 0.566048 |
| health reporting areas | 0.418623 |
| county-level data mask | 0.394999 |
| census block-group level | 0.404099 |
| small sample size | 0.4549 |
| census tract-level analysis | 0.408981 |
| public health | 0.424579 |
| smoothed estimates | 0.408054 |
| census tract estimates | 0.45436 |
| census tract smoking | 0.441774 |
| smoothed–multiple imputation methods | 0.390919 |
| imputation methods | 0.439214 |
| small-area estimation | 0.439233 |
| single imputation methods | 0.39866 |
| census block-group–based areas | 0.42234 |
| King County | 0.780165 |
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