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National ALS Registry Makes a Difference | CDC Features |
The ATSDR National ALS Registry contributes to a better understanding of ALS and helps create a better future for the next generation of persons living with ALS. Learn more about ALS and the ALS Registry at www.cdc.gov/als. If you have ALS, make a difference in ALS research by participating in the ALS Registry. |
| potential causes | 0.335656 |
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| data | 0.340843 |
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| Turner ALS Foundation | 0.524515 |
| new clinical trials | 0.425088 |
| amyotrophic lateral sclerosis | 0.451514 |
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| Neuromuscular diseases | 0.374908 |
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| Muscular Dystrophy Association | 0.362805 |
| possible etiology | 0.334959 |
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| CDC’s Morbidity | 0.338148 |
| ALS Association | 0.495514 |
| fatal neurological disease | 0.378993 |
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| ALS research | 0.592336 |
| United States | 0.419652 |
| annual report | 0.337406 |
| Lou Gehrig | 0.342546 |
| Mayo Clinic | 0.373373 |
| national attention | 0.344824 |
| Eric J. Sorenson | 0.437154 |
| Registry enrollees | 0.352988 |
| ALS advocacy | 0.495716 |
| National ALS Biorepository | 0.562435 |
| common disease | 0.336638 |
| unknown factors | 0.337569 |
| Division Chair | 0.373364 |
| ALS registers | 0.514434 |
| support groups | 0.371526 |
| people | 0.347424 |
| U.S. Congress | 0.337402 |
| biological material | 0.336758 |
| National ALS Registry | 0.855184 |
| famous baseball player | 0.377999 |
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Tips From Former Smokers Terrie's Story: "Terrie, What Are You Doing?" |
Terrie smoked her first cigarette at 13. In 2000, she found a sore in her mouth that was diagnosed as oral cancer. Later she learned she had throat cancer. |
| Tobacco Free CA | 0.66763 |
| CDC | 0.745656 |
| graphic anti-smoking ads | 0.674745 |
| Shares Final Heartbreaking | 0.660477 |
| throat cancer | 0.690008 |
| Little Villagers | 0.584233 |
| Disease Control | 0.830477 |
| Jacqui | 0.520604 |
| farzad osko | 0.591563 |
| Colon Cancer | 0.582257 |
| ADHD Child vs | 0.646911 |
| oral cancer | 0.601982 |
| Best Way | 0.583016 |
| comment policy | 0.592748 |
| SCARIEST ANTI-SMOKING COMMERCIALS | 0.68178 |
| Non-ADHD Child Interview | 0.649796 |
| Smokers campaign | 0.637437 |
| Duration | 0.993747 |
| Home Alchemy | 0.581281 |
| Doctors | 0.524852 |
| Debi Austin | 0.699747 |
| Scott Pelley | 0.590691 |
| old chain smoker | 0.65725 |
| Woman Given | 0.584659 |
| vpro metropolis | 0.674165 |
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| sore | 0.52155 |
| Centers | 0.562188 |
| Social Media | 0.584443 |
| Terrie Surgeon General | 0.783299 |
| video | 0.549868 |
| http://streaming.cdc.gov/vod.php?id=9.. | 0.517288 |
| Prevention | 0.562112 |
| Chicken Egg | 0.58014 |
| Terrie Hall | 0.772375 |
| hospital | 0.517389 |
| views | 0.844957 |
| CBS Evening News | 0.65876 |
| cigarette | 0.542157 |
| CBS News | 0.585893 |
| message | 0.530555 |
| Presentation | 0.529887 |
| Quit Smoking | 0.585763 |
| realization | 0.518536 |
| mouth | 0.53977 |
| Planet Nibiru | 0.588458 |
| Terrie | 0.79271 |
| Words | 0.529895 |
| time | 0.517406 |
| Tips | 0.585445 |
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Africa Influenza Surveillance Advances with Recent Data Management Training |
The CDC’s Influenza Division in partnership with the National Institute for Communicable Disease (NICD) hosted a Data Management Training Course for influenza surveillance data managers and epidemiologists at the NICD training facility in Johannesburg, South Africa in November 2011. |
| Management Training Course | 0.645156 |
| Jazmin Duque | 0.247279 |
| data interpretation | 0.309574 |
| public health practitioners | 0.367156 |
| risk ratios | 0.264182 |
| high standards | 0.248382 |
| CDC Influenza Division | 0.463745 |
| hard time | 0.243471 |
| Communicable Disease | 0.273092 |
| influenza surveillance systems | 0.769506 |
| FluNet information | 0.245871 |
| decision makers | 0.243299 |
| Centre’s processes | 0.241019 |
| data quality | 0.309246 |
| Data Management Training | 0.669639 |
| Influenza Division | 0.483623 |
| influenza surveillance | 0.958566 |
| course format | 0.283722 |
| short lectures | 0.255339 |
| epidemiologic analyses | 0.25192 |
| data cleaning | 0.31827 |
| disease surveillance data | 0.477941 |
| quality assurance | 0.251075 |
| Regional Office | 0.266476 |
| NICD Data Management | 0.53368 |
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| South Africa | 0.2747 |
| NICD training facility | 0.554179 |
| data validation rules | 0.434835 |
| course topics | 0.281995 |
| data entry controls | 0.446589 |
| risk factor data | 0.442006 |
| seasonal influenza surveillance | 0.5267 |
| easy-to-interpret fashion | 0.249907 |
| CDC’s Influenza | 0.410034 |
| African countries | 0.267894 |
| hands-on exercises | 0.246423 |
| training participants | 0.387876 |
| public health | 0.392387 |
| National Institute | 0.270603 |
| participants | 0.650594 |
| Health Organization Africa | 0.411491 |
| data analysis | 0.322491 |
| influenza surveillance data | 0.828898 |
| strong influenza surveillance | 0.485267 |
| analysis methods | 0.271233 |
| primary goal | 0.267083 |
| surveillance data managers | 0.543629 |
| incorporate quality checks | 0.372649 |
| data collection | 0.293546 |
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Number of Swine Origin H3 Infections in Pennsylvania Rises to Three |
Number of Swine Origin H3 Infections in Pennsylvania Rises to Three. |
| human influenza | 0.519139 |
| little seasonal influenza | 0.49165 |
| influenza infection | 0.492987 |
| Purple-coded RNA segments | 0.420632 |
| avian influenza viruses | 0.635624 |
| H3N2 influenza virus | 0.524136 |
| CDC′s Influenza Division | 0.507003 |
| human cases | 0.412028 |
| swine exposure | 0.411734 |
| seasonal flu illness | 0.379813 |
| different influenza viruses | 0.668711 |
| triple reassortant viruses | 0.519943 |
| H1N1 virus | 0.44915 |
| center virus | 0.4506 |
| influenza antiviral medications | 0.491627 |
| triple-reassortant swine influenza | 0.552912 |
| positive influenza test | 0.49268 |
| Green-coded RNA segments | 0.419148 |
| seasonal influenza vaccine | 0.495668 |
| Washington County Agricultural | 0.382047 |
| swine origin influenza | 0.712739 |
| viruses | 0.970215 |
| RNA segments | 0.712985 |
| cases | 0.41755 |
|
| human seasonal viruses | 0.50272 |
| North American swine | 0.437579 |
| PB1 segments | 0.389365 |
| seasonal influenza | 0.497409 |
| CDC laboratory testing | 0.380799 |
| red-coded RNA segments | 0.423685 |
| human origin HA | 0.383309 |
| virus hasn′t | 0.378501 |
| center viruses | 0.478299 |
| suspect influenza | 0.460879 |
| Pennsylvania | 0.401245 |
| Influenza Division′s Associate | 0.503719 |
| H1N1 viruses | 0.462801 |
| human seasonal flu | 0.492619 |
| influenza viruses | 0.962026 |
| seasonal flu viruses | 0.533356 |
| left virus | 0.417234 |
| new influenza viruses | 0.605873 |
| Eurasian swine | 0.406827 |
| swine viruses | 0.519898 |
| human infection | 0.439078 |
| humans | 0.391035 |
| influenza virus reassortment | 0.522341 |
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Uso de medios de comunicación social para brindar información sobre salud infantil a padres con bajos ingresos |
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| bajos ingresos | 0.975152 |
| Mackert MS | 0.455207 |
| Salud Pública | 0.431413 |
| Hoelscher DM | 0.489598 |
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| Stroever SJ | 0.471395 |
| principales objeciones | 0.451533 |
| bajos recursos | 0.443848 |
| Chronic Dis | 0.46671 |
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Identificación y tratamiento de la hipotermia relacionada con la exposición al agua fría|Annuncio de servicio público |
Los Centros para el Control y la Prevención de Enfermedades (CDC) proveen anuncios de servicio público (PSA, por sus siglas en inglés) para compartir información que puede salvar vidas durante desastres naturales y situaciones de mal tiempo. Los PSA en inglés y en español están disponibles en una variedad de formatos que incluyen texto, audio y video. |
| Archivo Apple Quicktime | 0.68244 |
| Archivo RealPlayer | 0.626642 |
| Archivo Zip Comprimido | 0.690799 |
| Archivo Microsoft PowerPoint | 0.733605 |
| Archivo Microsoft Excel | 0.702181 |
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| Archivo Microsoft | 0.945599 |
| rápida pérdida | 0.540265 |
| Archivo Microsoft Word | 0.727924 |
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CDC Telebriefing: CDC releases new autism spectrum disorder data | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| National Center | 0.431753 |
| Developmental Disabilities | 0.435791 |
| media availability | 0.39914 |
| list Skip | 0.751169 |
| question | 0.290895 |
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| Birth Defects | 0.445745 |
| page options Skip | 0.954753 |
| MMWR surveillance summary | 0.723329 |
| M.S. Hyg. | 0.432804 |
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| historical purposes | 0.477786 |
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| navigation Skip | 0.751067 |
| transcript | 0.228515 |
| CDC MEDIA | 0.567091 |
| PASSCODE | 0.215494 |
| telephone-only media briefing | 0.78395 |
| autism spectrum disorders | 0.720338 |
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Test Your Knowledge of Spina Bifida | CDC Features |
With quality medical care, people with spina bifida can lead full, healthy lives. If you have spina bifida, it’s important to get the facts so that you can make the best possible health care choices |
| pregnancies | 0.406207 |
| country | 0.405485 |
| spina bifida clinics | 0.670151 |
| CDC | 0.477897 |
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| data document | 0.429532 |
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| Disease Control | 0.431922 |
| children | 0.415755 |
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| kidney damage | 0.429006 |
| prevention | 0.41112 |
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| researchers | 0.405195 |
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| standards | 0.405541 |
| condition | 0.412516 |
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| problems | 0.405291 |
| healthcare providers | 0.43 |
| Centers | 0.405656 |
| United States | 0.457718 |
| healthy lives | 0.433873 |
| adults | 0.405443 |
| National Spina Bifida | 0.630611 |
| babies | 0.411577 |
| kidneys | 0.406826 |
| facts | 0.405789 |
| life | 0.405635 |
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| quiz | 0.406418 |
| Patient Registry | 0.430409 |
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| families | 0.405717 |
| people | 0.425197 |
| way | 0.40536 |
| organization | 0.405353 |
| baby | 0.409532 |
| information | 0.405498 |
| possible health care | 0.458317 |
| hospitalizations | 0.408383 |
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Heroin |
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| shallow breathing | 0.311792 |
| opioid abuse | 0.383953 |
| higher incomes | 0.314944 |
| opioid prescribing practices | 0.461899 |
| behavioral therapies | 0.286626 |
| heroin addiction | 0.547806 |
| long-term viral infections | 0.386493 |
| Hepatitis | 0.23558 |
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| prescription opioids | 0.4435 |
| reliable source | 0.291285 |
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| greatest increases | 0.315433 |
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| nonmedical pain | 0.299742 |
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| heroin | 0.938912 |
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| age groups | 0.311218 |
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| buprenorphine | 0.222419 |
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| women | 0.235838 |
| MAT | 0.234177 |
| access | 0.245874 |
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| cocaine | 0.247111 |
| bacterial infections | 0.303143 |
| new heroin users | 0.635141 |
| Davies C. Associations | 0.369412 |
| heroin-related overdose deaths | 0.596693 |
| large metropolitan area | 0.378058 |
| life-saving drug | 0.297349 |
| sterile injection equipment | 0.370409 |
| addictive opioid drug | 0.508406 |
| bloodstream | 0.224104 |
| Medication-Assisted Treatment | 0.292511 |
| income levels | 0.310718 |
| Muhuri PK | 0.295107 |
| people | 0.539769 |
| CBHSQ Data Review | 0.368669 |
| Gfroerer JC | 0.29432 |
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Vaccination Coverage Among Children Aged 19-35 Months -United States, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
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