| 977 |
Centers for Disease Control and Prevention |
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Say "I Do" the Healthy Way | CDC Features |
Before you say 'I Do,' make health a priority. Remember to put yourself on the wedding checklist with good health and safety habits. |
| certain diseases | 0.67366 |
| healthy diet | 0.683185 |
| CDC | 0.563144 |
| mental health | 0.710803 |
| Zika virus | 0.929812 |
| free quit plan | 0.843094 |
| common problems | 0.655201 |
| areas | 0.55589 |
| health screenings | 0.699822 |
| pregnant women | 0.794989 |
| Poor sleep | 0.671132 |
| trip | 0.554612 |
| physical violence | 0.659155 |
| Intimate partner violence | 0.784551 |
| nutritional intake | 0.673481 |
| psychological aggression | 0.650196 |
| risk factors | 0.653465 |
| overall health | 0.707356 |
| long run | 0.678844 |
| pregnancy | 0.556825 |
| travelers | 0.594715 |
| honeymoon | 0.571505 |
| health problems | 0.702671 |
| insect repellent | 0.657994 |
| wedding checklist | 0.68817 |
|
| free educational materials | 0.822729 |
| health benefits | 0.711694 |
| Spanish speakers | 0.675145 |
| Sexual transmission | 0.65586 |
| Zika virus infection | 0.81408 |
| motor vehicle | 0.672082 |
| free quit coaching | 0.843431 |
| Wedding planning | 0.662124 |
| machinery-related crashes | 0.673983 |
| health provider | 0.683738 |
| heart disease | 0.67647 |
| crash diets | 0.673932 |
| severe brain defects | 0.795709 |
| Zika travel notices | 0.82322 |
| respiratory diseases | 0.67176 |
| sexual violence | 0.657292 |
| good health | 0.725616 |
| frequent hand | 0.652938 |
| health | 0.856332 |
| Cruise ship outbreaks | 0.789511 |
| bites | 0.561703 |
| physical activity | 0.831326 |
| free resources | 0.675025 |
| safety habits | 0.68925 |
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| 5566 |
Centers for Disease Control and Prevention |
Html |
en |
Arsine - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 5658 |
Centers for Disease Control and Prevention |
Html |
en |
Glycidol - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 6391 |
Centers for Disease Control and Prevention |
Html |
en |
Antibiotics Aren't Always the Answer: Chart | CDC Features |
Antibiotics do not fight infections caused by viruses like colds, most sore throats and bronchitis, and some ear infections. Unneeded antibiotics may lead to future antibiotic-resistant infections. Symptom relief might be the best treatment option. |
| antibiotic | 0.445499 |
| list Skip | 0.800409 |
| Return | 0.361604 |
| strep throat | 0.646253 |
| page options Skip | 0.94353 |
| runny nose | 0.61036 |
| bronchitis | 0.37259 |
| Viruses | 0.368405 |
| bacterial infections | 0.609491 |
| middle ear | 0.557897 |
|
| Feature | 0.354848 |
| virus | 0.350834 |
| navigation Skip | 0.805141 |
| flu | 0.362397 |
| healthcare | 0.348559 |
| whooping cough | 0.607563 |
| Viral illnesses | 0.602672 |
| sore throat | 0.617175 |
| chest cold | 0.553652 |
| fluid | 0.351098 |
|
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| 7711 |
Centers for Disease Control and Prevention |
Html |
null |
CDC.gov Archived Reports- eHealth Metrics Dashboard |
CDC.gov Web Metrics Dashboard. Key performance indicators and data for CDC’s Web site, Social Media, and Campaigns. CDC is sharing this data as part of the agency’s commitment to transparent government. |
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| 8667 |
Centers for Disease Control and Prevention |
Html |
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Diarrhea & Swimming - Recreational Water Illness (RWIs) - Healthy Swimming & Recreational Water - Healthy Water |
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| 10602 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | Using a Health Informatics System to Assess Effect of a Federal Cigarette Tax Increase on Readiness to Quit Among Low-Income Smokers, Louisiana, 2009 - CDC |
Health informatics systems are a proven tool for tobacco control interventions. To address the needs of low-income groups, the Tobacco Control Initiative was established in partnership with the Louisiana State University Health Care Services Division to provide cost-effective tobacco use cessation services through the health informatics system in the state public hospital system. |
| tobacco use cessation | 0.50604 |
| substantial tax increase | 0.48257 |
| cigarette tax price | 0.492422 |
| tobacco tax increase | 0.55834 |
| State University Health | 0.53218 |
| tax increases | 0.491876 |
| public hospital | 0.55096 |
| Tobacco control state | 0.49181 |
| control policy change | 0.480489 |
| health care delivery | 0.486003 |
| federal tobacco control | 0.528044 |
| state public hospital | 0.492302 |
| tobacco excise tax | 0.498137 |
| tobacco | 0.678963 |
| health informatics | 0.543419 |
| tax affects smokers | 0.512318 |
| African American smokers | 0.516499 |
| clinical practice guideline | 0.507146 |
| University Health Care | 0.501708 |
| cessation services | 0.555309 |
| tobacco products | 0.504795 |
| cigarette tax increase | 0.751199 |
| federal tax increase | 0.553007 |
| low-income tobacco users | 0.533959 |
| smoking cessation | 0.503913 |
|
| effect | 0.496242 |
| tobacco products rises | 0.490774 |
| statewide tobacco control | 0.489325 |
| Health Care Services | 0.505239 |
| readiness | 0.641074 |
| tax increase | 0.91033 |
| smokers | 0.60046 |
| LSU HCSD | 0.493493 |
| Louisiana State University | 0.525248 |
| tobacco control policy | 0.525288 |
| Care Services Division | 0.490349 |
| Louisiana smokers | 0.49512 |
| health care | 0.595402 |
| public health | 0.487152 |
| Health informatics systems | 0.496572 |
| adult smokers | 0.483164 |
| federal cigarette tax | 0.564771 |
| tobacco control program | 0.506577 |
| tobacco control policies | 0.485025 |
| increased tobacco taxes | 0.480634 |
| tobacco control interventions | 0.539792 |
| clinic visit | 0.480288 |
| commercial insurance | 0.505291 |
| Tobacco Control Initiative | 0.537147 |
|
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| 11821 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Telebriefing: CDC update on Ebola Response, 10-15-2014 | Transcript |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| frontline health care | 0.262081 |
| government Ebola response | 0.25899 |
| CDC | 0.25111 |
| SYLVIA BURWELL | 0.36727 |
| site manager | 0.282302 |
| public health authority | 0.247973 |
| public health authorities | 0.246884 |
| homeland security | 0.24221 |
| extra margins | 0.261239 |
| health care team | 0.263819 |
| ongoing clinical decision | 0.241111 |
| press star | 0.262018 |
| low grade fever | 0.242584 |
| personal protective equipment | 0.349412 |
| tom frieden | 0.547904 |
| patient care | 0.245629 |
| secretary burwell | 0.351749 |
| public transportation | 0.253447 |
| Texas state lab | 0.240233 |
| symptoms | 0.24095 |
| Mr. Duncan | 0.309453 |
| public transport | 0.24016 |
| care worker number | 0.251167 |
| Ebola patients | 0.240589 |
| Ebola | 0.294471 |
|
| additional health care | 0.258248 |
| care worker case | 0.28615 |
| Texas Presbyterian Hospital | 0.248272 |
| Sylvia Matthews Burwell | 0.264195 |
| patient | 0.287277 |
| Holly | 0.288352 |
| index patient | 0.247295 |
| health care workers | 0.738649 |
| Dr. Tom Frieden | 0.290403 |
| hospital | 0.285408 |
| highest risk period | 0.241906 |
| health care | 0.901818 |
| Director Frieden | 0.266049 |
| extensive contact | 0.241927 |
| health care worker | 0.776372 |
| question | 0.348857 |
| people | 0.252629 |
| local public health | 0.278233 |
| tom skinner | 0.642661 |
| Director Dr. Frieden | 0.271262 |
| OPERATOR | 0.293389 |
| West Africa | 0.297737 |
| risk | 0.244729 |
| Dr. Frieden | 0.340165 |
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| 14490 |
Centers for Disease Control and Prevention |
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Who Would Pay for State Alcohol Tax Increases in the UnitedStates? |
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. |
| capita alcohol consumption | 0.30075 |
| alcohol tax increase | 0.296011 |
| binge drinkers | 0.229577 |
| net cost | 0.29351 |
| binge drinking | 0.365435 |
| hypothetical tax increases | 0.333861 |
| tax increases | 0.788391 |
| alcohol prices | 0.237541 |
| hypothetical tax increase | 0.31302 |
| Alcohol Abuse | 0.225825 |
| higher alcohol taxes | 0.283553 |
| alcohol taxes | 0.45171 |
| alcohol | 0.791816 |
| aggregate costs | 0.290183 |
| adult excessive drinkers | 0.290387 |
| state alcohol tax | 0.464782 |
| BRFSS core alcohol | 0.230523 |
| heavy drinker | 0.254124 |
| daily average | 0.255015 |
| alcohol tax increases | 0.746898 |
| state alcohol taxes | 0.34449 |
| sociodemographic characteristics | 0.234235 |
| alcohol policy interventions | 0.233863 |
| capita costs | 0.345711 |
|
| State-specific tax increases | 0.249169 |
| United States | 0.387976 |
| drinks | 0.467223 |
| current alcohol taxes | 0.253209 |
| average annual increase | 0.230942 |
| non-Hispanic white drinkers | 0.274355 |
| alcohol consumption | 0.607549 |
| Average daily alcohol | 0.264005 |
| Alcohol Epidemiologic Data | 0.232708 |
| excessive drinkers | 0.841684 |
| Excessive alcohol consumption | 0.347454 |
| excessive drinking | 0.243269 |
| hypothetical state alcohol | 0.373777 |
| non-Hispanic whites | 0.284088 |
| public health | 0.250963 |
| nonexcessive drinkers | 0.909314 |
| costs | 0.35543 |
| Alcohol Policy Information | 0.282279 |
| value-based alcohol taxes | 0.253549 |
| annual alcohol consumption | 0.244944 |
| hypothetical alcohol tax | 0.299364 |
| evidence-based public health | 0.239268 |
| alcohol spectrum disorders | 0.239775 |
| current drinkers | 0.239986 |
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| 15287 |
Centers for Disease Control and Prevention |
Html |
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Health Care Personnel Flu Vaccination, Internet Panel Survey, United States, November 2011 |
Findings from the Internet Panel Survey of health care personnel flu vaccination in the United States for the 2010-11 and 2011-12 flu season - CDC |
| coverage levels | 0.232268 |
| United States | 0.243185 |
| influenza vaccination coverage | 0.769379 |
| HCP internet panel | 0.359298 |
| step health care | 0.26155 |
| common reason | 0.279031 |
| Page | 0.241835 |
| Influenza vaccination information | 0.453803 |
| seasonal influenza vaccination | 0.532645 |
| current influenza season | 0.368257 |
| e.g. vaccination coverage | 0.337736 |
| internet panel survey | 0.274981 |
| Gary L. Euler | 0.254089 |
| HCP influenza vaccination | 0.694361 |
| previous influenza seasons | 0.35665 |
| WebMD Professional Services | 0.244391 |
| health care workers | 0.258977 |
| health care personnel | 0.80404 |
| unvaccinated health care | 0.265221 |
| Healthy People | 0.251643 |
| national Healthy People | 0.247443 |
| influenza vaccine | 0.490353 |
| influenza season | 0.403414 |
| health care setting | 0.259003 |
|
| Additional subgroup comparisons | 0.242574 |
| influenza vaccines | 0.359706 |
| long-term care facilities | 0.255375 |
| influenza vaccinations | 0.353606 |
| general population Internet | 0.244417 |
| Health Interview Survey | 0.255321 |
| Immunization Services Division | 0.253543 |
| influenza vaccination | 0.944638 |
| previous influenza season | 0.375012 |
| main health care | 0.259501 |
| self-reported vaccination | 0.315565 |
| vaccination history | 0.314979 |
| H1N1 influenza vaccination | 0.505287 |
| useful surveillance tool | 0.243495 |
| annual influenza vaccination | 0.481205 |
| health care settings | 0.293087 |
| Megan C. Lindley | 0.253989 |
| Internet panel surveys | 0.24409 |
| pre-existing web-based panels | 0.243991 |
| confidence intervals | 0.243126 |
| unvaccinated HCP | 0.35021 |
| HCP data | 0.342268 |
| panel survey results | 0.248763 |
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