| 4763 |
Centers for Disease Control and Prevention |
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The governance of standard-setting to improve health. |
null |
| public health interventions | 0.315714 |
| American foreign policy | 0.269687 |
| review organizations | 0.380693 |
| health care policy | 0.427043 |
| european community atlas | 0.23408 |
| industrial countries | 0.261744 |
| National Health Service | 0.250166 |
| Nations Health Organization | 0.261779 |
| evidence-based health research | 0.311449 |
| global health | 0.264067 |
| health professionals | 0.228556 |
| British health official | 0.265762 |
| population health | 0.513665 |
| World Health Organization | 0.247484 |
| countries | 0.287972 |
| public health officials | 0.296239 |
| health expenditures | 0.244303 |
| standards | 0.384124 |
| health status | 0.266418 |
| dysfunctional health systems | 0.243334 |
| health care infrastructure | 0.282945 |
| public officials | 0.2712 |
| Health Protection Agency | 0.245238 |
| public health policy | 0.359486 |
| United States | 0.319802 |
|
| health districts | 0.230729 |
| national security policy | 0.227956 |
| conventional governance | 0.274368 |
| policy set standards | 0.294363 |
| multiple determinants | 0.228509 |
| health policy | 0.372482 |
| health improvement | 0.227689 |
| health services | 0.392429 |
| population health status | 0.250121 |
| Milbank Memorial Fund | 0.267764 |
| foreign policy | 0.547237 |
| health care | 0.762323 |
| public health | 0.362213 |
| advocacy groups | 0.298127 |
| global health evince | 0.246937 |
| health | 0.911416 |
| best available evidence | 0.248352 |
| policy making | 0.235384 |
| policy makers | 0.687611 |
| population health policy | 0.327636 |
| organizational governance | 0.25399 |
| systematic reviews | 0.435301 |
| health risks | 0.227329 |
| governance | 0.712183 |
|
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Centers for Disease Control and Prevention |
Html |
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2010 Haiti Cholera Outbreak: CDC Responds to Cholera Outbreak in Haiti |
CDC - Global Health |
| 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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| 5708 |
Centers for Disease Control and Prevention |
Html |
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Fluoroxene - 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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| 6739 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Kenya - Blog: A Promising New Career in the Slums of Kibera |
In Kenya, the CDC is addressing the region's toughest health problems at their source, directly working with vulnerable families and communities in local hospitals, clinics, and laboratories. |
| Field Coordinator | 0.546454 |
| U.S. CDC Kenya | 0.879957 |
| largest slums | 0.569468 |
| Community Interviewer team | 0.719193 |
| right medical services | 0.67179 |
| rigorous training course | 0.675217 |
| unique collaboration | 0.542659 |
| undergraduate degrees | 0.55361 |
| surveillance activities | 0.545481 |
| graduation | 0.430584 |
| Tabitha clinic management | 0.731773 |
| HIV status | 0.562516 |
| graduate school | 0.54768 |
| commitments | 0.434328 |
| local church function | 0.707135 |
| right opportunity | 0.558453 |
| Carolina | 0.442427 |
| Community Interviewers | 0.574607 |
| current team | 0.544701 |
| Social Studies | 0.559845 |
| home base | 0.551723 |
| community health workers | 0.717209 |
| large urban slum | 0.748135 |
| slum neighborhood | 0.624854 |
| job | 0.450811 |
|
| Kibera | 0.5679 |
| mismanagement | 0.434262 |
| sustainable contact | 0.55067 |
| prosperous Nairobi locality | 0.724823 |
| CDC-Kenya infectious disease | 0.679905 |
| Aurum Institute | 0.581016 |
| earliest members | 0.546265 |
| flagship project | 0.551415 |
| western Kenya | 0.611584 |
| local community | 0.562316 |
| Kennedy Odero | 0.58416 |
| Public Administration | 0.559728 |
| Medical Sociology | 0.535474 |
| CDC Community Interviewer | 0.801344 |
| data collection | 0.543835 |
| pm ET | 0.572448 |
| KENYA BLOG | 0.63948 |
| life-saving healthcare services | 0.688854 |
| Tabitha clinic | 0.901376 |
| school uniforms | 0.565514 |
| ideal career | 0.551829 |
| quality control systems | 0.664372 |
| prestigious Moi University | 0.7117 |
| time | 0.449957 |
|
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| 9577 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Disability, Health, and Multiple Chronic Conditions Among People Eligible for Both Medicare and Medicaid, 2005"2010 - CDC |
People who are eligible for both Medicare and Medicaid (dual eligibles) and who have disabilities and multiple chronic conditions (MCC) present challenges for treatment, preventive services, and cost-effective access to care within the US health system. |
| Medical Expenditure Panel | 0.368966 |
| high school | 0.398011 |
| dual eligible population | 0.477619 |
| disability | 0.501732 |
| mental health | 0.370199 |
| functional limitations | 0.417625 |
| cognitive disabilities | 0.386234 |
| multiple chronic conditions | 0.415244 |
| high school education | 0.357197 |
| assistive device | 0.365539 |
| national health care | 0.355329 |
| poor health status | 0.48842 |
| daily living | 0.367252 |
| angina pectoris | 0.36938 |
| health care providers | 0.355451 |
| Expenditure Panel Survey | 0.369308 |
| age category | 0.35839 |
| health care services | 0.378431 |
| cognitive limitations | 0.646022 |
| Human Services Strategic | 0.365363 |
| physical disability | 0.398585 |
| health status | 0.520935 |
| dual eligible populations | 0.388692 |
| significant odds | 0.356843 |
|
| usual source | 0.41414 |
| disability category | 0.401862 |
| MEPS | 0.381462 |
| long-term need | 0.381315 |
| heart attack | 0.364688 |
| functional disability limitations | 0.418447 |
| physical disabilities | 0.551844 |
| long-term walking limitations | 0.395756 |
| health care | 0.449938 |
| dual eligibles accounts | 0.39977 |
| federal poverty guidelines | 0.359654 |
| health characteristics | 0.367627 |
| health | 0.53696 |
| cognitive limitation | 0.477456 |
| MCC | 0.553736 |
| health care coverage | 0.355696 |
| medical care | 0.388813 |
| people | 0.379193 |
| chronic conditions | 0.793564 |
| Services Strategic Initiative | 0.364767 |
| memory loss | 0.370952 |
| high school diploma | 0.358356 |
| coronary heart disease | 0.418923 |
| dual eligibles | 0.984161 |
|
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| 11338 |
Centers for Disease Control and Prevention |
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Newport Infections Linked to Organic Sprouted Chia Powder (Final Update) |
Epi Curve Multistate Outbreak of Salmonella Newport Infections Linked to Organic Sprouted Chia Powder |
| average | 0.823049 |
| Illnesses | 0.784543 |
| Salmonella Newport | 0.740337 |
| person | 0.743937 |
| Persons | 0.256387 |
|
| ill | 0.774024 |
| information | 0.731178 |
| time | 0.661522 |
| outbreak strain | 0.751508 |
| illness | 0.9567 |
|
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Association Between Living Alone and Physical Inactivity Among People With and Without Disability, Florida Behavioral Risk Factor Surveillance System, 2009 - CDC |
People with disability may be at risk of developing diseases due to physical inactivity; social support from family and friends is positively related to engaging in regular physical activity. We compared the association between living alone and engagement in physical activity among people with and without disability in Florida. We used multivariate logistical regression to analyze 2009 Florida Behavioral Risk Factor Surveillance System data (n = 10,902) to assess differences in physical activity in disability levels for respondents who lived alone versus those who did not. |
| disability levels | 0.57065 |
| personal care needs | 0.546779 |
| disability | 0.704774 |
| health problem | 0.566503 |
| Human Services | 0.544527 |
| Risk Factor Surveillance | 0.627979 |
| Prev Chronic Dis | 0.567185 |
| ADL | 0.563848 |
| B. Physical activity | 0.577683 |
| moderate physical activity | 0.589505 |
| multivariate logistical regression | 0.544415 |
| Disease Control | 0.568339 |
| disability classification | 0.553572 |
| daily living | 0.612346 |
| Health care providers | 0.543858 |
| vigorous physical activity | 0.648294 |
| social support | 0.600542 |
| everyday household chores | 0.543413 |
| ADL needs | 0.557344 |
| Public health efforts | 0.584325 |
| instrumental activities | 0.564351 |
| physical activity interventions | 0.593686 |
| respondents | 0.56531 |
| independent living | 0.547734 |
| Population Health Sciences | 0.543418 |
|
| regular physical activity | 0.61506 |
| vigorous activity | 0.613404 |
| Behavioral Risk Factor | 0.628094 |
| ADL assistance | 0.558616 |
| regular physical activities | 0.570464 |
| Health Services Research | 0.547175 |
| IADL assistance | 0.54514 |
| telephone household survey | 0.546704 |
| 4-level disability severity | 0.562243 |
| activity limitations | 0.573788 |
| disability status | 0.559279 |
| heavy yard work | 0.620466 |
| public health | 0.589931 |
| territorial health agencies | 0.551437 |
| moderate activity | 0.559016 |
| people | 0.604128 |
| physical activity | 0.909148 |
| Florida Behavioral Risk | 0.627994 |
| CDC-defined physical activity | 0.585683 |
| Public Health Service | 0.545826 |
| disability type | 0.546653 |
| physical activity measures | 0.583704 |
| household composition | 0.580766 |
| physical inactivity | 0.560451 |
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Centers for Disease Control and Prevention |
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Epilepsy Features |
The CDC Epilepsy Program creates features in order to bring attention to important issues and topics.
|
| epilepsy | 0.90982 |
| important epilepsy issues | 0.72678 |
| Veterans | 0.351448 |
| email address | 0.398243 |
| seizure types | 0.423494 |
| emergency | 0.316228 |
| facts | 0.319184 |
| health issues | 0.37477 |
| features | 0.319483 |
| signs | 0.318255 |
| self-management programs | 0.402297 |
| memory problems | 0.38078 |
| smoking | 0.336405 |
| seizures | 0.417164 |
| young children | 0.38296 |
| TBI | 0.320078 |
| CDC Epilepsy Program | 0.734612 |
| TBIs | 0.325838 |
|
| higher risk | 0.38121 |
| Epilepsy Self-Management | 0.638745 |
| overall health | 0.3799 |
| topics | 0.319407 |
| Things | 0.319029 |
| traumatic brain injury | 0.587036 |
| Disaster Preparedness | 0.387351 |
| Spotlight | 0.319963 |
| resources | 0.353194 |
| families | 0.316561 |
| people | 0.371133 |
| Seizure First Aid | 0.41269 |
| health condition | 0.375873 |
| older adults | 0.544864 |
| attention | 0.319024 |
| memory lapses | 0.3878 |
| page | 0.319626 |
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Interim Guidance for U.S. Businesses, Employers, andBusiness Travelers to Prevent Exposures to Ebola | EbolaHemorrhagic Fever | CDC |
null |
| uncertain control measures | 0.82689 |
| health care provider | 0.287127 |
| Ebola webpage | 0.413161 |
| Ebola infection | 0.403415 |
| public health authorities | 0.450544 |
| Ebola symptoms | 0.409065 |
| U.S. Department | 0.299417 |
| Ebola outbreak | 0.501547 |
| pack health supplies | 0.339487 |
| emergency health needs | 0.281603 |
| evacuation insurance coverage | 0.330625 |
| monitoring procedures | 0.299137 |
| countries | 0.391851 |
| body fluids | 0.366131 |
| Ebola outbreaks | 0.727299 |
| Travel Health Notices | 0.398191 |
| CDC’s Ebola | 0.423138 |
| employees | 0.419963 |
| active monitoring | 0.304608 |
| Travel insurance information | 0.282639 |
| State Ebola Protocols | 0.427228 |
| medical evacuation | 0.288171 |
| Travel health topic | 0.292408 |
| Postpone employee travel | 0.284438 |
| United States | 0.645304 |
|
| Ebola exposure | 0.49076 |
| ongoing Ebola transmission | 0.488332 |
| Ebola cases | 0.41499 |
| public health monitoring | 0.293139 |
| local health department | 0.314161 |
| CDC Travel Health | 0.376199 |
| travel health kit | 0.305279 |
| practice health behaviors | 0.288886 |
| confirmed Ebola | 0.422842 |
| Ebola websites | 0.45664 |
| Check CDC Travel | 0.3094 |
| nonessential travel | 0.362169 |
| medical care | 0.368715 |
| people | 0.282818 |
| local public health | 0.284668 |
| flexible work arrangements | 0.309187 |
| widespread Ebola transmission | 0.991234 |
| business travelers | 0.325316 |
| Ebola Virus | 0.398469 |
| guidance | 0.291132 |
| CDC Ebola website | 0.508858 |
| information | 0.288349 |
| risk | 0.283429 |
| U.S. citizens | 0.299251 |
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Improvements and Disparities in Types of Foods and Milk Beverages Offered in Elementary School Lunches, 2006-2007 to 2013-2014 |
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. |
| school meals programs | 0.335996 |
| low-ses schools | 0.377743 |
| school salad bar | 0.352509 |
| majority-black schools | 0.345373 |
| School Lunch Program | 0.487531 |
| majority-Latino schools | 0.402883 |
| school | 0.702418 |
| school lunch characteristics | 0.351995 |
| children | 0.33985 |
| healthful items | 0.363635 |
| food service | 0.425303 |
| public elementary schools | 0.413889 |
| white schools | 0.367269 |
| disparities | 0.396947 |
| food service personnel | 0.331006 |
| American Indian students | 0.336745 |
| school meals | 0.365837 |
| high school survey | 0.331859 |
| school lunches | 0.419192 |
| school food | 0.412355 |
| elementary school survey | 0.34224 |
| healthful pizzas | 0.371608 |
| Hunger-Free Kids Act | 0.332511 |
| premade salads | 0.370566 |
|
| schools | 0.841546 |
| regular pizza | 0.434542 |
| local school food | 0.345072 |
| National School Lunch | 0.486686 |
| salad bars | 0.944823 |
| United States | 0.445623 |
| students | 0.36771 |
| time-by-demographic interactions | 0.332588 |
| availability | 0.365495 |
| demographic disparities | 0.337546 |
| school meals standards | 0.341874 |
| fresh fruit | 0.539807 |
| fried potatoes | 0.469586 |
| school food environment | 0.346845 |
| high-fat milks | 0.443397 |
| Acad Nutr Diet | 0.461717 |
| School district policies | 0.337061 |
| healthful school environments | 0.333407 |
| elementary schools | 0.476125 |
| school meal programs | 0.4286 |
| school lunch meal | 0.336201 |
| lunch characteristics | 0.355099 |
| high-SES schools | 0.344209 |
| elementary school lunches | 0.376234 |
|
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