| 836 |
Centers for Disease Control and Prevention |
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en |
Live Animal and Bird Markets | CDC Features |
We have many choices for buying and preparing our food today. Follow these steps when shopping for, handling, and preparing your food from live animal and live bird markets. |
| CDC.gov Current Features | 0.906892 |
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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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| 4770 |
Centers for Disease Control and Prevention |
Html |
en |
Challenges and opportunities for population health partnerships. |
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| Stephen M. Shortell | 0.451643 |
| social capital | 0.465053 |
| Social network concepts | 0.471431 |
| chronic care model | 0.468908 |
| Milbank Mem Fund | 0.446986 |
| successful partnerships | 0.44368 |
| core competence | 0.456742 |
| community contributions | 0.405219 |
| population health | 0.941151 |
| health promotion | 0.446801 |
| community contexts | 0.424158 |
| relevant population-based metrics | 0.452767 |
| Wood Johnson Foundation | 0.444235 |
| local health department | 0.522276 |
| better population health | 0.629206 |
| public health departments | 0.516809 |
| healthier population | 0.46401 |
| health care delivery | 0.548938 |
| health improvement objectives | 0.528239 |
| Action Toward Community | 0.487421 |
| population health partnerships | 0.614421 |
| related health care | 0.54026 |
| health needs | 0.45065 |
| Health Polit Policy | 0.506639 |
|
| cross-sector partnerships | 0.535226 |
| population health improvement | 0.867594 |
| health care | 0.64237 |
| community health improvement | 0.537057 |
| positive health outcomes | 0.527215 |
| Mobilizing Action | 0.479995 |
| publicly accountable bodies | 0.464528 |
| transaction cost economics | 0.465392 |
| cost-effective care | 0.400262 |
| accountable care organizations | 0.503905 |
| comparative advantage | 0.446754 |
| population level | 0.464447 |
| Shortell SM | 0.460868 |
| health determinants | 0.449965 |
| primary care delivery | 0.473616 |
| community health management | 0.547962 |
| community organizations | 0.413183 |
| community health | 0.65542 |
| patient-centered medical home | 0.603077 |
| ACOs | 0.450957 |
| relevant political bodies | 0.450037 |
| Disease discuss ideas | 0.482111 |
| National health care | 0.533682 |
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| 7153 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Yemen |
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| Content source | 0.892652 |
| HHS | 0.699811 |
| endorsement | 0.682673 |
| CDC | 0.617915 |
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| non-federal site | 0.998525 |
| Notice | 0.617482 |
| sponsors | 0.49087 |
| information | 0.490002 |
|
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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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| 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 |
|
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| 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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| 10424 |
Centers for Disease Control and Prevention |
Html |
en |
Pulmonary Hypertension Fact Sheet'Data & Statistics'DHDSP'CDC |
null |
| coronary artery disease | 0.534377 |
| pills | 0.412395 |
| pulmonary hypertension | 0.924973 |
| arteries | 0.414718 |
| connective tissue disease | 0.520979 |
| fatigue | 0.410636 |
| diastolic blood pressure | 0.53077 |
| lungs | 0.517701 |
| chronic liver disease | 0.510508 |
| Genetics | 0.411033 |
| oxygen | 0.446221 |
| Heart failure | 0.461044 |
| dizziness | 0.413344 |
| liver disease | 0.51097 |
| blood vessels | 0.474469 |
| palpitations | 0.415524 |
| different types | 0.456969 |
| medical conditions | 0.458987 |
| difficulty breathing | 0.459089 |
| chronic lung diseases | 0.519048 |
| women | 0.410652 |
| common underlying causes | 0.514402 |
| role | 0.411019 |
| chronic lung disease | 0.514274 |
| association | 0.411279 |
|
| emphysema | 0.413441 |
| delayed diagnosis | 0.460341 |
| pound | 0.410937 |
| severe symptoms | 0.456683 |
| heart disease | 0.547922 |
| non-Hispanic blacks | 0.46698 |
| congenital heart disease | 0.52187 |
| pulmonary arterial hypertension | 0.694898 |
| cirrhosis | 0.413178 |
| ankle swelling | 0.466555 |
| medicine | 0.418543 |
| chronic lung | 0.520658 |
| people | 0.410629 |
| veins | 0.411525 |
| heart race | 0.460301 |
| initial stage | 0.458889 |
| right ventricle | 0.55359 |
| chest pain | 0.457726 |
| diuretics | 0.416298 |
| high blood pressure | 0.590378 |
| blood clots | 0.470437 |
| ages | 0.410788 |
| coronary heart disease | 0.514513 |
| incidence | 0.411409 |
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| 11370 |
Centers for Disease Control and Prevention |
Html |
en |
Disease Detective: Kari - CDC Responds to the 2014 Ebola Outbreak |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| disease detectives | 0.310025 |
| sleuth training | 0.365686 |
| collaborative effort | 0.318224 |
| City health department | 0.565513 |
| Kari | 0.616948 |
| CDC disease detective | 0.605623 |
| New York City | 0.902579 |
| Ebola virus | 0.502159 |
| Ebola outbreak | 0.612637 |
| medical doctor | 0.362383 |
| building trust | 0.321441 |
| Guinean Ministry | 0.336918 |
| long fight | 0.321784 |
| Chinese markets | 0.359787 |
| CDC team | 0.372332 |
|
| Ebola hot spot | 0.626955 |
| Epidemic Intelligence Service | 0.583384 |
| contact tracing | 0.788382 |
| soft-tissue infections | 0.382819 |
| mysterious outbreak | 0.482545 |
| painstaking work | 0.345908 |
| important role | 0.313132 |
| bucket | 0.252257 |
| Ebola patient | 0.704198 |
| West Africa | 0.572576 |
| Ebola patients | 0.492138 |
| new position | 0.351893 |
| effective contact tracing | 0.535582 |
| laborious job | 0.339615 |
| offer suggestions | 0.313776 |
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Centers for Disease Control and Prevention |
Html |
en |
Injuries and Traumatic Psychological Exposures Associatedwith the South Napa Earthquake - California, 2014 |
Kathleen R. Attfield, ScD1,2; Christine B. Dobson, ScD2,3; Jennifer B. |
| mental health stressors | 0.504766 |
| mental health | 0.970827 |
| Public Health Emergency | 0.512226 |
| mental health disorders | 0.511399 |
| South Napa earthquake | 0.60338 |
| traumatic exposures | 0.607712 |
| Health Studies Branch | 0.482197 |
| health follow-up prioritization | 0.489234 |
| mental health events | 0.502412 |
| housing units | 0.483947 |
| mental health comorbidities | 0.499685 |
| immediate-term mental health | 0.548379 |
| Napa sampling frame | 0.547239 |
| health services coverage | 0.490159 |
| health resource allocations | 0.534538 |
| County Public Health | 0.799227 |
| mental health services | 0.58673 |
| mental health resource | 0.547754 |
| mental health condition | 0.505593 |
| mental health effects | 0.502056 |
| Napa households | 0.640533 |
| Health Services Agency | 0.481527 |
| improved clinical outcomes | 0.500575 |
| western Vallejo households | 0.710784 |
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| mental health disaster | 0.513874 |
| Napa County | 0.721367 |
| traumatic psychological exposures | 0.498023 |
| Napa County Mental | 0.610169 |
| public training sessions | 0.515655 |
| Public Health staff | 0.496756 |
| traumatic exposure | 0.487977 |
| immediate public health | 0.498786 |
| longer-term mental health | 0.511605 |
| mental health symptom | 0.509759 |
| County Mental Health | 0.55675 |
| Health conducted community | 0.489185 |
| disaster mental health | 0.515456 |
| Solano County Public | 0.56305 |
| postdisaster health effects | 0.50075 |
| mental health service | 0.499906 |
| local health departments | 0.480075 |
| Napa County Public | 0.687557 |
| Napa CASPER | 0.540969 |
| western Vallejo CASPER | 0.519639 |
| western Vallejo | 0.880825 |
| future earthquake preparedness | 0.530658 |
| mental health assistance | 0.507592 |
| Public Health Preparedness | 0.50102 |
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CLICK HERE |