| 868 |
Centers for Disease Control and Prevention |
Html |
en |
New Study Shows H7N9 Illness Uncommon in China |
New Study by Chinese and CDC experts shows H7N9 illness uncommon in China - CDC |
| H7N9 virus outbreak | 0.496033 |
| H7N9 infections | 0.330158 |
| influenza-like illness surveillance | 0.396574 |
| collaborative effort | 0.246941 |
| network laboratories | 0.274773 |
| degrees Celsius | 0.266894 |
| ILI | 0.892918 |
| patient visits | 0.262133 |
| H7N9 cases | 0.304643 |
| influenza-like illness | 0.447888 |
| live poultry market | 0.404371 |
| pneumonia complications | 0.273817 |
| ILI testing | 0.521226 |
| China | 0.465501 |
| bi-lateral request | 0.275469 |
| live chickens | 0.267984 |
| sore throat | 0.267367 |
| CDC Influenza Division | 0.411584 |
| rural areas | 0.280075 |
| sentinel hospitals | 0.466563 |
| health care | 0.412228 |
| H7N9 infection | 0.443802 |
| CDC team | 0.275408 |
| provinces | 0.260958 |
|
| poultry contact | 0.260654 |
| media reports | 0.258778 |
| ILI surveillance network | 0.727565 |
| patients | 0.415056 |
| Chinese National Influenza | 0.442718 |
| H7N9 virus infection | 0.48507 |
| Illness Surveillance Network | 0.443858 |
| study period | 0.429025 |
| urban areas | 0.280483 |
| medical care | 0.475108 |
| people | 0.237068 |
| Monitoring avian influenza | 0.403007 |
| live bird markets | 0.405509 |
| health care visits | 0.393343 |
| H7N9 virus | 0.998935 |
| public health experts | 0.457482 |
| human infections | 0.298548 |
| H7N9 outbreak | 0.310877 |
| CNISN network | 0.276706 |
| uncommon cause | 0.256206 |
| available information | 0.298254 |
| sentinel sites | 0.318249 |
| Infectious Diseases | 0.255272 |
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CLICK HERE |
| 883 |
Centers for Disease Control and Prevention |
Html |
en |
H7N9: In the News |
News and spotlight articles related to Avian Influenza A (H7N9) - CDC |
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CLICK HERE |
| 4880 |
Centers for Disease Control and Prevention |
Html |
en |
Multisector Partnerships in Population Health Improvement |
null |
| community coalitions | 0.353593 |
| Population Health Sciences | 0.396887 |
| sufficient core resources | 0.352673 |
| improvement feature partnerships | 0.487654 |
| diverse organizational partnership | 0.362397 |
| population health behaviors | 0.407745 |
| research | 0.365686 |
| health outcomes | 0.504019 |
| broadest partnerships | 0.421749 |
| coalition-building factors | 0.355853 |
| community health | 0.42266 |
| partnerships bond individuals | 0.430271 |
| public health services | 0.382831 |
| health systems | 0.356569 |
| population health | 0.924611 |
| community | 0.484523 |
| newly constituted partnerships | 0.431466 |
| formal partnerships | 0.403535 |
| effective partnerships | 0.462064 |
| health improvement feature | 0.418594 |
| public health agencies | 0.383486 |
| Population Health Institute | 0.434209 |
| partnership contexts | 0.366226 |
| multisector partnerships | 0.944874 |
| better health outcomes | 0.407007 |
|
| particular community group | 0.361646 |
| community coalition readiness | 0.365271 |
| public health partnerships | 0.461021 |
| prior partnerships | 0.409282 |
| strong multisector partnerships | 0.491797 |
| Community Health project | 0.388234 |
| population-level health outcomes | 0.387082 |
| effective multisector partnerships | 0.544215 |
| systems | 0.358483 |
| multisector collaborations | 0.382303 |
| formal multisector partnerships | 0.470474 |
| governmental public health | 0.381136 |
| population health improvement | 0.572383 |
| resources | 0.398134 |
| multisector health partnerships | 0.507145 |
| community health promotion | 0.399593 |
| broad population indicators | 0.369013 |
| Wisconsin Population Health | 0.433512 |
| Partnership resources | 0.355142 |
| population-wide health outcomes | 0.407677 |
| population health outcomes | 0.503407 |
| similar partnerships | 0.410372 |
| multisector collaboration | 0.376436 |
| community life | 0.361956 |
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CLICK HERE |
| 4956 |
Centers for Disease Control and Prevention |
Html |
null |
Vaccines: Typhoid Fever Vaccination |
Typhoid Fever vaccine info for parents, public, and healthcare professionals |
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CLICK HERE |
| 7025 |
Centers for Disease Control and Prevention |
Html |
en |
Section 918 of the Federal Food, Drug, and Cosmetic Act -Drug Products Used to Treat Tobacco Dependence |
null |
| date | 0.22135 |
| request | 0.225039 |
| paragraph | 0.224097 |
| treatment | 0.222864 |
| Secretary | 0.253238 |
| Tobacco Control Act | 0.445765 |
| Drug Administration | 0.323086 |
| section | 0.224757 |
| manner | 0.222747 |
| relevant offices | 0.322126 |
| Recommendations. The report | 0.324217 |
| treatments | 0.250128 |
| relapse prevention | 0.3423 |
| Disease Control | 0.321108 |
| Sciences | 0.220924 |
| best protects | 0.323791 |
| meaning | 0.224741 |
| centers | 0.235724 |
| tobacco dependence | 0.359335 |
| non-nicotine-based products | 0.332942 |
| relevant agencies | 0.318025 |
| approval products | 0.365592 |
|
| National Academy | 0.323704 |
| National Institutes | 0.32206 |
| Food | 0.220866 |
| nicotine lozenges | 0.477461 |
| enactment | 0.236257 |
| applicant | 0.234477 |
| Medicine | 0.220979 |
| nicotine gum | 0.481894 |
| public health experts | 0.429119 |
| additional indications | 0.340966 |
| nicotine replacement products | 0.957132 |
| cessation | 0.231535 |
| Federal agencies | 0.32436 |
| fast track research | 0.471989 |
| nongovernmental entities | 0.342182 |
| General | 0.223458 |
| exchange | 0.22078 |
| information | 0.220761 |
| nicotine patches | 0.476795 |
| consultation | 0.221192 |
| Society | 0.220887 |
| innovative products | 0.401258 |
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| 7989 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Multistate Outbreak of HumanSalmonella Typhimurium Infections Linked to Contact with PetHedgehogs - United States, 2011-2013 |
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. |
| mmwrq@cdc.gov. | 0.713675 |
| State Dept | 0.710579 |
| Human Services | 0.752775 |
| assistive technology | 0.706811 |
| Casey Barton Behravesh | 0.756849 |
| infected animals | 0.705931 |
| human isolates | 0.716121 |
| U.S. Department | 0.853217 |
| MMWR HTML versions | 0.76514 |
| Salmonella infection | 0.726862 |
| Health Inspection Service | 0.829933 |
| direct contact | 0.7203 |
| Michigan Dept | 0.706467 |
| electronic PDF version | 0.764777 |
| state health departments | 0.967851 |
| Zoonotic Infectious Diseases | 0.762819 |
| Salmonella transmission | 0.714289 |
| ill persons | 0.702588 |
| foodborne disease surveillance | 0.802802 |
| hedgehog care | 0.70732 |
| Contact GPO | 0.722289 |
| safe handling instructions | 0.772038 |
| Disease Epidemiology | 0.775744 |
| Communicable Disease Epidemiology | 0.774625 |
|
| Illness onset dates | 0.797248 |
| median patient age | 0.783686 |
| Health Inspection Svc | 0.793571 |
| Minnesota Dept | 0.706925 |
| Acute Disease Investigation | 0.768952 |
| original paper copy | 0.758622 |
| illness onset | 0.798934 |
| Tara Creel Anderson | 0.894936 |
| original MMWR paper | 0.77188 |
| U.S. Government Printing | 0.768821 |
| indistinguishable pulsed-field gel | 0.802216 |
| various hedgehog breeders | 0.789395 |
| human Salmonella Typhimurium | 0.840466 |
| indirect contact | 0.730947 |
| pet hedgehogs | 0.911899 |
| Community Health | 0.714854 |
| outbreak strain | 0.810966 |
| Sally A. Bidol | 0.761698 |
| subject line | 0.707465 |
| Infectious Disease Epidemiology | 0.770539 |
| elderly persons | 0.701277 |
| national molecular subtyping | 0.790515 |
| indirect transmission | 0.704991 |
| infected hedgehogs | 0.814797 |
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CLICK HERE |
| 8353 |
Centers for Disease Control and Prevention |
Html |
en |
Quiz: Autism- Alt Text Version - NCBDDD |
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 |
|
CLICK HERE |
| 8885 |
Centers for Disease Control and Prevention |
Html |
en |
Malaria - About Malaria - History |
History of malaria from ancient history through the elimination of malaria in the United States highlighting the major scientific breakthroughs and the on going efforts for eradication. |
| Chinese medical writings | 0.418641 |
| Page | 0.414656 |
| P. malariae | 0.412785 |
| effective antimalarial drugs | 0.435771 |
| seasonal malaria transmission | 0.680224 |
| century BCE | 0.414955 |
| antimalarial drug treatment | 0.419075 |
| U.S. military occupation | 0.404009 |
| malaria parasite | 0.742282 |
| Nei Ching | 0.405966 |
| malaria parasite P. | 0.736138 |
| malaria work | 0.640594 |
| malaria activities | 0.645936 |
| National Malaria | 0.700592 |
| human malaria parasite | 0.726452 |
| malaria incidence | 0.65749 |
| Nobel Prize | 0.498225 |
| Anopheles claviger mosquitoes | 0.427783 |
| extent human populations | 0.412088 |
| Italian investigators Giovanni | 0.402724 |
| medical treatise | 0.414035 |
| eradication campaign | 0.402093 |
| Indian Medical Service | 0.406026 |
| malaria control activities | 0.732248 |
| malaria parasites | 0.699832 |
|
| Malaria Eradication Program | 0.697232 |
| malaria focus | 0.637578 |
| yellow fever | 0.446883 |
| United States | 0.716487 |
| Sanskrit medical treatise | 0.411169 |
| malaria | 0.975886 |
| Giovanni Batista Grassi | 0.502359 |
| Louis Alphonse Laveran | 0.407533 |
| malaria control | 0.836618 |
| Italian investigators | 0.405538 |
| combat malaria | 0.634413 |
| southern United States | 0.505275 |
| malaria worldwide | 0.630128 |
| malaria elimination | 0.644668 |
| malaria control techniques | 0.708092 |
| sporogonic cycle | 0.406869 |
| bird malaria | 0.673403 |
| P. knowlesi | 0.402176 |
| malaria cases | 0.716381 |
| malaria transmission | 0.736249 |
| Public Health Service | 0.404946 |
| effective malaria control | 0.733197 |
| National Malaria Prevention | 0.684611 |
| names Plasmodium vivax | 0.412942 |
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CLICK HERE |
| 9963 |
Centers for Disease Control and Prevention |
Html |
en |
After a Storm - Winter Weather |
Taking preventive action is your best defense against having to deal with extreme cold-weather conditions. By preparing your home and car in advance for winter emergencies, and by observing safety precautions during times of extremely cold weather, you can reduce the risk of weather-related health problems. |
| types | 0.213063 |
| Returning Home | 0.43354 |
| water issues | 0.391724 |
| disasters | 0.254052 |
| carbon monoxide | 0.436833 |
| Disaster | 0.237966 |
| tips | 0.287074 |
|
| Winter storms | 0.701764 |
| Clean Up Safely | 0.42923 |
| electrical hazards | 0.457277 |
| information | 0.231332 |
| winter storm | 0.986354 |
| safety issues | 0.367355 |
| post-storm cleanup | 0.854472 |
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CLICK HERE |
| 10007 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Obesity Prevalence by Occupation in Washington State, Behavioral Risk Factor Surveillance System - CDC |
Data that estimate the prevalence of and risk factors for worker obesity by occupation are generally unavailable and could inform the prioritization of workplace wellness programs. The aims of this study were to estimate the prevalence of obesity by occupation, examine the association of occupational physical activity and a range of health behaviors with obesity, and identify occupations in which workers are at high risk of obesity in Washington State. |
| workplace health intervention | 0.491295 |
| study | 0.48417 |
| Washington workers | 0.483159 |
| prevalence ratios | 0.515989 |
| data | 0.494936 |
| health intervention programs | 0.490994 |
| occupation-specific obesity prevalence | 0.550289 |
| state-level prevalence estimates | 0.488644 |
| Risk Factor Surveillance | 0.483726 |
| obesity prevention programs | 0.534199 |
| protective services | 0.581028 |
| occupations | 0.518977 |
| higher obesity prevalence | 0.566768 |
| lower obesity prevalence | 0.556049 |
| BRFSS data | 0.489385 |
| workplace wellness programs | 0.560854 |
| abdominal obesity | 0.494928 |
| truck drivers | 0.581759 |
| Washington State workers | 0.48176 |
| health diagnosing occupations | 0.517796 |
| obesity prevalence | 0.763133 |
| workers | 0.636448 |
| health behaviors | 0.600073 |
| obesity | 0.809742 |
|
| occupational physical activity | 0.987168 |
| Overall obesity prevalence | 0.587574 |
| highest obesity prevalence | 0.559513 |
| health | 0.635042 |
| occupational physical activities | 0.510531 |
| annual household income | 0.501672 |
| occupational groups | 0.526402 |
| worker obesity | 0.516562 |
| significantly lower prevalence | 0.520258 |
| health care costs | 0.493679 |
| Washington State Department | 0.5193 |
| physical activity | 0.993791 |
| obesity risk factors | 0.585809 |
| significantly higher prevalence | 0.492509 |
| obesity epidemic | 0.494323 |
| Washington State | 0.85263 |
| leisure-time physical activity | 0.509334 |
| physical activity level | 0.68034 |
| higher obesity rates | 0.519736 |
| multivariable prevalence ratios | 0.48578 |
| Behavioral Risk Factor | 0.483297 |
| Washington State BRFSS | 0.56123 |
| workplace obesity prevention | 0.578693 |
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CLICK HERE |