| 4905 |
Centers for Disease Control and Prevention |
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Key Facts about Swine Influenza (Swine Flu) in Pigs |
Key Facts about Swine Influenza Swine Flu in Pigs - CDC |
| type A influenza | 0.353152 |
| influenza vaccines | 0.343701 |
| United States | 0.331058 |
| avian influenza viruses | 0.535194 |
| swine influenza | 0.93326 |
| human influenza viruses | 0.53884 |
| seasonal H3N2 viruses | 0.370284 |
| uninfected pigs | 0.27375 |
| pig populations | 0.249807 |
| swine influenza infections | 0.713932 |
| swine herds | 0.318428 |
|
| human seasonal influenza | 0.424366 |
| main influenza | 0.321707 |
| pigs | 0.622325 |
| Variant Influenza Viruses | 0.557217 |
| Swine flu viruses | 0.858868 |
| influenza viruses | 0.824914 |
| seasonal flu website | 0.327499 |
| new viruses | 0.327127 |
| late fall | 0.255518 |
| specific swine influenza | 0.500485 |
| humans | 0.246671 |
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| 6714 |
Centers for Disease Control and Prevention |
Html |
en |
Notifiable Diseases and Mortality Tables - February 24, 2012 |
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. |
| Cumulative total E. | 0.999824 |
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| 9369 |
Centers for Disease Control and Prevention |
Html |
es |
Conocimiento e implementación de los maestros de las políticas de nutrición y actividad física en las escuelas elementales de Utah, 2010 |
CDC - Wide Page example description goes here |
| Utah elementary schools | 0.937814 |
| DeMill JH | 0.733607 |
| Friedrichs MD | 0.740246 |
| physical activity policies | 0.956505 |
|
| Metos J | 0.719705 |
| Chronic Dis | 0.764795 |
| Lanier WA | 0.698253 |
| Teacher awareness | 0.779005 |
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| 9745 |
Centers for Disease Control and Prevention |
Html |
en |
Progress Toward Global Eradication of Dracunculiasis -January 2012-June 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. |
| peak transmission season | 0.497841 |
| country | 0.240608 |
| United Nations | 0.22507 |
| human cases | 0.223831 |
| global dracunculiasis eradication | 0.442517 |
| unpublished surveillance data | 0.234192 |
| global Guinea Worm | 0.282041 |
| 215 villages in January–June | 0.272954 |
| contaminated drinking water | 0.228792 |
| Mali | 0.415026 |
| worm emergence | 0.296019 |
| dracunculiasis elimination | 0.412349 |
| World Health Organization | 0.324434 |
| South Sudan | 0.877218 |
| South Sudan accounting | 0.250343 |
| dracunculiasis worldwide | 0.387014 |
| countries | 0.285988 |
| Guinea worms | 0.268966 |
| dracunculiasis eradication | 0.569313 |
| indigenous cases | 0.402992 |
| endemic dracunculiasis | 0.450265 |
| Sudan Guinea Worm | 0.306806 |
| Sharon L. Roy | 0.27244 |
| Chad | 0.240714 |
|
| D. medinensis | 0.351165 |
| coup d'etat | 0.336942 |
| Timbuktu regions | 0.249456 |
| dracunculiasis cases | 0.553678 |
| Worm Eradication Program | 0.677873 |
| endemic transmission | 0.254823 |
| Carter Center | 0.32111 |
| dracunculiasis | 0.901203 |
| drinking water | 0.473385 |
| January–June | 0.323137 |
| currently dracunculiasis-endemic countries | 0.227333 |
| cases | 0.934131 |
| villages | 0.341911 |
| dracunculiasis endemicity | 0.353572 |
| drinking water sources | 0.223323 |
| national eradication program | 0.37019 |
| Guinea Worm Eradication | 0.681466 |
| indigenous dracunculiasis cases | 0.514459 |
| World Health Assembly | 0.427206 |
| clean drinking water | 0.302406 |
| Kapoeta East County | 0.292213 |
| dracunculiasis-endemic countries | 0.282047 |
| Eradication Program operations | 0.261961 |
| Guinea worm disease | 0.440937 |
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| 10001 |
Centers for Disease Control and Prevention |
Html |
en |
Most health care providers don't talk about alcohol, even when patients drink too much | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| health professional talk | 0.624754 |
| Mortality Weekly Report | 0.519399 |
| Health professionals | 0.478111 |
| binge drinkers | 0.465613 |
| social problems | 0.424317 |
| brief counseling | 0.735323 |
| pregnant women | 0.536649 |
| Disease Control | 0.437728 |
| CDC journal Morbidity | 0.548968 |
| evidence-based alcohol screening | 0.716277 |
| Alcohol Abuse | 0.577688 |
| flu vaccination | 0.41834 |
| health care professionals | 0.563488 |
| blood pressure | 0.42206 |
| CDC Director Tom | 0.558228 |
| Health care workers | 0.585404 |
| Affordable Care Act | 0.713803 |
| alcohol screening | 0.933327 |
| Binge drinking | 0.530606 |
| sexually transmitted diseases | 0.525687 |
| Behavioral Risk Factor | 0.50449 |
| motor-vehicle crashes | 0.424058 |
| economic costs | 0.418248 |
| alcohol misuse screening | 0.732248 |
| cancer prevention | 0.41554 |
|
| United States | 0.545592 |
| adults | 0.452188 |
| brief interventions | 0.417923 |
| cardiovascular health | 0.467044 |
| alcohol dependence | 0.594587 |
| prescription drug overdose | 0.507419 |
| health provider | 0.47492 |
| heart disease | 0.424243 |
| public health | 0.466838 |
| key health indicators | 0.563462 |
| important first step | 0.435195 |
| CDC’s efforts | 0.438814 |
| motor vehicle passenger | 0.502925 |
| Vital Signs report | 0.560465 |
| breast cancer screening | 0.575596 |
| health coverage | 0.470954 |
| health insurance plans | 0.584076 |
| health dangers | 0.474104 |
| U.S. adults | 0.433562 |
| health | 0.727547 |
| alcohol spectrum disorders | 0.710964 |
| 80-proof distilled spirits | 0.530573 |
| CDC report | 0.460407 |
| health risks | 0.476658 |
|
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| 10480 |
Centers for Disease Control and Prevention |
Html |
en |
Email Updates: September 24, 2012'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| prevention activities | 0.413526 |
| CDC | 0.995041 |
| annual National Preparedness | 0.56699 |
| Travel Warnings | 0.480368 |
| Emergency Preparedness | 0.536605 |
| FDA Safety Information | 0.502266 |
| prevention science | 0.415175 |
| control strategies | 0.415192 |
| Nile Virus epidemiology | 0.497174 |
| West Nile Virus | 0.910323 |
| Human Salmonella Typhimurium | 0.478132 |
| CDC Science Clips | 0.754194 |
| Additional COCA Conference | 0.536095 |
| CDC Influenza Division | 0.726357 |
| important safety information | 0.492119 |
| high-risk children | 0.416563 |
| Free CE credit/contact | 0.505858 |
| Weekly Flu View | 0.479786 |
| human medical products | 0.47659 |
| EID Home Page | 0.494851 |
| important information | 0.411781 |
| preparedness resources | 0.492886 |
| Current Travel Warnings | 0.477803 |
| CDC Features | 0.774884 |
| non-profit organizations | 0.4014 |
|
| Event Reporting Program | 0.478213 |
| health problems | 0.421317 |
| regular physical activity | 0.502766 |
| influenza prevention | 0.437737 |
| CDC Fact Sheet | 0.709964 |
| Human Infections Reported | 0.485695 |
| important things | 0.41146 |
| primary care pediatrician | 0.515022 |
| weekly feature | 0.409836 |
| COCA Email Update | 0.533692 |
| public health community | 0.510871 |
| scientific knowledge | 0.403987 |
| Specific Hazards preparedness | 0.560055 |
| program activity | 0.410037 |
| mass casualties | 0.4017 |
| Older Adults | 0.414674 |
| preparedness message | 0.477707 |
| in-person training centers | 0.483659 |
| Territorial Support | 0.4047 |
| older adult | 0.408317 |
| FoodSafety.gov Reports FDA | 0.493727 |
| weekly influenza surveillance | 0.487495 |
| USDA Food Recalls | 0.476908 |
| Response Training Resources | 0.501168 |
|
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| 11725 |
Centers for Disease Control and Prevention |
Html |
en |
What CDC is Doing | Ebola Hemorrhagic Fever |
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| health education | 0.213253 |
| CDC staff members | 0.683106 |
| Health Ebola webpage | 0.558608 |
| World Health Organization | 0.40091 |
| Children’s Health | 0.260837 |
| potential case | 0.2217 |
| U.S. government agencies | 0.369135 |
| U.S. hospitals | 0.217832 |
| Date Released | 0.210436 |
| Associate Director | 0.21735 |
|
| international partners | 0.205361 |
| local health department | 0.371879 |
| Ebola outbreak | 0.424368 |
| CDC medical officer | 0.807232 |
| CDC Ebola Response | 0.960184 |
| West Africa | 0.363601 |
| disease control activities | 0.351309 |
| CDC personnel | 0.514254 |
| Alyson Goodman | 0.251706 |
| health care | 0.215576 |
|
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| 12524 |
Centers for Disease Control and Prevention |
Video |
en |
REACH: Improving Lives, Inspiring Hope |
Hear how local communities take action to improve the health of their residents and reduce racial and ethnic health disparities. Addressing several chronic health conditions including diabetes, cardiovascular health, asthma, cancer, and obesity, innovative programs meet local health needs and demonstrate positive impact. Racial and Ethnic Approaches to Community Health (REACH) is a program of the Centers for Disease Control and Prevention (CDC).
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at http://streaming.cdc.gov/vod.php?id=eaf997e0afd19b4dbb609a1a44ee0b2c20121019105530599 |
| REACH | 0.79532 |
| Inspiring Hope | 0.92969 |
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CLICK HERE |
| 13203 |
Centers for Disease Control and Prevention |
Html |
en |
Flu Vaccination Digital Ambassadors Create Flu Prevention Dialogue through Multi-Day Facebook Forums |
Flu Vaccination Digital Ambassadors Create Flu Prevention Dialogue through Multi-Day Facebook Forums - CDC
|
| Vaccinate | 0.28018 |
| multiple posts | 0.471816 |
| participant questions | 0.446909 |
| large consumer audience | 0.664188 |
| 2014-2015 flu season | 0.962793 |
| Twitter | 0.252319 |
| flu prevention information | 0.870792 |
| effort | 0.245092 |
| Facebook page | 0.899027 |
| flu complications | 0.626529 |
| conversations | 0.247799 |
| Facebook page timelines | 0.880632 |
| shares | 0.242063 |
| caregivers | 0.287051 |
| CDC’s Influenza | 0.484524 |
| pregnant women | 0.435841 |
| public | 0.241082 |
| digital ambassadors | 0.7801 |
| young children | 0.428045 |
| consumers | 0.240588 |
| Division | 0.240463 |
| real-time dialogue | 0.461524 |
|
| Facebook post | 0.637869 |
| events | 0.242865 |
| likes | 0.253013 |
| participants | 0.240289 |
| Flu Vaccination Digital | 0.998661 |
| longer lifespan | 0.462835 |
| comments | 0.242195 |
| flu vaccination partners | 0.860627 |
| cancer patients | 0.42761 |
| Baby | 0.243342 |
| Mom | 0.25109 |
| message | 0.239464 |
| people | 0.238388 |
| users | 0.239373 |
| multi-day Facebook Forums | 0.968414 |
| LIVESTRONG | 0.243018 |
| social media platforms | 0.632398 |
| high risk | 0.430435 |
| older adults | 0.42719 |
| responses | 0.243891 |
| Shot | 0.245369 |
| Place | 0.243456 |
|
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Centers for Disease Control and Prevention |
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Agent-Based Modeling of Chronic Diseases: A Narrative Reviewand Future Research Directions |
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. |
| agent-based model | 0.841498 |
| agent-based social network | 0.647377 |
| public health intervention | 0.573283 |
| public health interventions | 0.578652 |
| myocardial infarction | 0.601631 |
| agent-based modeling software | 0.683379 |
| health outcomes | 0.580229 |
| credible agent-based models | 0.656237 |
| systems science methodologies | 0.600206 |
| agent-based models | 0.891593 |
| prevalent chronic diseases | 0.585217 |
| comprehensive agent-based models | 0.656616 |
| health care providers | 0.631706 |
| health behaviors | 0.583614 |
| obesity | 0.604401 |
| risk factors | 0.577058 |
| body mass index | 0.573617 |
| disease policy models | 0.585658 |
| agent-based modeling | 0.995808 |
| standard statistical models | 0.593345 |
| future research directions | 0.581793 |
| population health management | 0.700898 |
| chronic disease | 0.737591 |
| specific chronic health | 0.611092 |
| Markov models | 0.653876 |
|
| cardiovascular disease progression | 0.57323 |
| chronic disease prevention | 0.587443 |
| agent-based modeling template | 0.671405 |
| future agent-based models | 0.712014 |
| United States | 0.631116 |
| chronic health condition | 0.610682 |
| chronic health conditions | 0.766429 |
| agent-based modeling applications | 0.708024 |
| individual health factors | 0.573321 |
| disease progression | 0.612364 |
| heart disease | 0.581129 |
| well-designed agent-based models | 0.660737 |
| health care | 0.635366 |
| public health | 0.615874 |
| cardiovascular disease | 0.806494 |
| New York | 0.654129 |
| specific chronic diseases | 0.601734 |
| chronic disease progression | 0.597463 |
| chronic diseases | 0.834413 |
| chronic disease epidemic | 0.603112 |
| causal effects | 0.591016 |
| physical activity | 0.593994 |
| various chronic health | 0.61142 |
| health factors | 0.573819 |
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