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Centers for Disease Control and Prevention |
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en |
Opportunity for collaboration: a conceptual model of success in tobacco control and cancer prevention |
Collaborations between cancer prevention and tobacco control programs can leverage scarce resources to address noncommunicable diseases globally, but barriers to cooperation and actual collaboration are substantial. |
| successful tobacco control | 0.405988 |
| cluster | 0.408683 |
| cancer prevention communities | 0.417884 |
| effective tobacco prevention | 0.412219 |
| cancer prevention program | 0.530342 |
| program management fundamentals | 0.401085 |
| tobacco control experts | 0.549129 |
| tobacco control participants | 0.421172 |
| successful program components | 0.366091 |
| noncommunicable diseases | 0.372105 |
| priority prevention component | 0.368996 |
| tobacco control programs | 0.646095 |
| Global Health Partnership | 0.386134 |
| national cancer prevention | 0.388137 |
| separate cancer prevention | 0.381701 |
| cancer control programs | 0.431177 |
| cancer prevention experts | 0.483418 |
| Global Health | 0.391894 |
| GHP program stakeholders | 0.374305 |
| policy change | 0.367726 |
| cancer prevention participants | 0.434782 |
| control program grantees | 0.389678 |
| comprehensive cancer prevention | 0.386638 |
| modifiable risk factor | 0.386535 |
| cancer prevention interventions | 0.395278 |
|
| cancer control program | 0.407909 |
| hierarchical cluster analysis | 0.405909 |
| cancer prevention | 0.835868 |
| Scott R. Rosas | 0.389101 |
| best-fitting cluster solution | 0.366957 |
| statements | 0.397349 |
| program success | 0.419868 |
| 2-dimensional solution | 0.377921 |
| Global Health Partnerships | 0.37978 |
| public health | 0.407606 |
| clusters | 0.369825 |
| public health program | 0.37124 |
| concept mapping | 0.456621 |
| modifiable risk factors | 0.414748 |
| Carol L. Schmitt | 0.385385 |
| resources | 0.365903 |
| tobacco control program | 0.473015 |
| diverse tobacco control | 0.408014 |
| Health Partnerships program | 0.374584 |
| tobacco control organizations | 0.419047 |
| successful cancer prevention | 0.406554 |
| multidimensional scaling | 0.367964 |
| possible cluster solutions | 0.366096 |
| cancer prevention programs | 0.395846 |
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| 8523 |
Centers for Disease Control and Prevention |
Html |
en |
Human Contacts with Oral Rabies Vaccine Baits Distributedfor Wildlife Rabies Management - Ohio, 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. |
| rabies virus variant | 0.479208 |
| County Health Dept | 0.392751 |
| AdRG1.3 baits | 0.482854 |
| V-RG exposure | 0.466957 |
| potential vaccine | 0.531795 |
| V-RG bait contacts | 0.576936 |
| Neil M. Vora | 0.397723 |
| V-RG fishmeal polymer | 0.462564 |
| oral rabies vaccine | 0.664733 |
| multiple baits | 0.490472 |
| U.S. Department | 0.471176 |
| recombinant vaccinia vector | 0.414681 |
| human adenovirus type | 0.492869 |
| V-RG vaccine virus | 0.548969 |
| Health Inspection Service | 0.418144 |
| rabies management programs | 0.41027 |
| oral rabies vaccines | 0.433661 |
| Raboral V-RG | 0.473762 |
| square miles | 0.389846 |
| potential vaccine exposure | 0.505155 |
| recombinant human adenovirus | 0.432418 |
| rabies virus glycoprotein | 0.466666 |
| V-RG baits | 0.998284 |
| vaccine virus exposure | 0.437698 |
| raccoon rabies virus | 0.418214 |
|
| higher bait densities | 0.393777 |
| potential vaccine exposures | 0.46056 |
| Ñ?ЛП
Baits | 0.511208 |
| vaccine virus infection | 0.533098 |
| vaccine exposure | 0.533278 |
| United States | 0.557159 |
| human contact | 0.482531 |
| wildlife rabies | 0.398952 |
| Ohio Department | 0.400386 |
| fewer human contacts | 0.390875 |
| AdRG1.3 bait contacts | 0.42017 |
| Wildlife Services | 0.450226 |
| oral rabies | 0.684102 |
| local Ohio health | 0.392187 |
| square kilometers | 0.389533 |
| adverse events | 0.461658 |
| fox rabies virus | 0.419392 |
| Oral rabies vaccination | 0.457628 |
| new oral rabies | 0.472521 |
| canine rabies virus | 0.417666 |
| human contacts | 0.763204 |
| Ohio | 0.420453 |
| intact bait | 0.393255 |
| rabies vaccine baits | 0.671819 |
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| 10583 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Online Media - Alcohol |
Excessive alcohol use can lead to increased risk of health problems such as injuries, violence, liver diseases, and cancer.The CDC Alcohol Program works to strengthen the scientific foundation for preventing excessive alcohol use.
|
| MPEG | 0.276361 |
| PDF | 0.201634 |
| PPT | 0.326381 |
|
| email address | 0.716575 |
| DOC | 0.270026 |
| different file formats | 0.90859 |
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| 11189 |
Centers for Disease Control and Prevention |
Html |
en |
2014 Breastfeeding Report Card Now Available | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| clinical management | 0.303567 |
| IBCLCs | 0.219293 |
| Highlights | 0.222018 |
| education | 0.218704 |
| professional breastfeeding support | 0.864355 |
| professionals | 0.219268 |
| breastfeeding rates | 0.56649 |
| availability | 0.218433 |
| percent | 0.280448 |
| number | 0.239023 |
| mothers | 0.222336 |
| U.S. DEPARTMENT | 0.300524 |
| supports | 0.221158 |
|
| national data | 0.303089 |
| state | 0.24049 |
| newborn infants | 0.316895 |
| personal goals | 0.305536 |
| counseling | 0.21868 |
| CLCs | 0.233317 |
| health recommendations. CDC | 0.389127 |
| Breastfeeding Report Card | 0.997439 |
| relatively new profession | 0.388935 |
| lactation | 0.226642 |
| HUMAN SERVICES | 0.300193 |
| information | 0.218046 |
| visit | 0.218087 |
|
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| 12737 |
Centers for Disease Control and Prevention |
Html |
en |
Vaccines: VPD-VAC/Measles/In-Short |
Measles In Short: Description, Symptoms, Complications, Transmission, Vaccine, etc. |
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| 13486 |
Centers for Disease Control and Prevention |
Html |
en |
Schools Start Too Early | CDC Features |
Starting school later can help improve an adolescent’s health, academic performance and quality of life. |
| Education data | 0.474337 |
| American Academy | 0.634157 |
| School Health Policies | 0.670259 |
| mobile phones | 0.450301 |
| Practices Study | 0.472705 |
| regular bedtime | 0.465495 |
| school | 0.775795 |
| media curfew. | 0.455528 |
| main reason | 0.458735 |
| certain time | 0.446455 |
| late bedtimes | 0.720411 |
| potential increases | 0.451951 |
| school start times | 0.691395 |
| adolescents | 0.898112 |
| middle schools | 0.482044 |
| irregular bedtimes | 0.579777 |
| insufficient sleep | 0.651933 |
| better academic achievers | 0.587461 |
| unhealthy risk behaviors | 0.609446 |
| poor academic performance | 0.634736 |
| Dim lighting | 0.464738 |
| early school | 0.636995 |
| Good sleep hygiene | 0.777878 |
| high schools | 0.75022 |
| Health care | 0.456786 |
|
| transportation costs | 0.445747 |
| earlier CDC study | 0.611932 |
| poor sleep habits | 0.798168 |
| local school officials | 0.611507 |
| later school times | 0.66302 |
| smoking tobacco | 0.449161 |
| biological rhythms.1 | 0.459921 |
| Educate adolescent patients | 0.569838 |
| biological changes | 0.459829 |
| room lighting | 0.453597 |
| sleep | 0.962318 |
| drinking alcohol | 0.47546 |
| parent-set bedtimes | 0.572332 |
| daily physical activity | 0.605974 |
| North Dakota | 0.470965 |
| illicit drugs | 0.461685 |
| commonly mentioned barriers | 0.570471 |
| video gaming | 0.455283 |
| good health | 0.469891 |
| high school students | 0.694272 |
| times results | 0.469276 |
| Sleep Medicine | 0.688396 |
| American adolescents | 0.638096 |
| health risks | 0.489697 |
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| 13641 |
Centers for Disease Control and Prevention |
Html |
null |
Cuidar a una Persona Enferma con la Influenza |
La influenza es una enfermedad respiratoria contagiosa que puede causar una enfermedad leve o grave e incluso puede ocasionar la muerte - CDC |
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| 14137 |
Centers for Disease Control and Prevention |
Html |
en |
Percent Distributions of TBI-related Deaths by Age Group and Injury Mechanism - United States, 2006-2010 | Concussion | Traumatic Brain Injury | CDC Injury Center |
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| Injury Mechanism | 0.514119 |
| assault | 0.345022 |
| half | 0.336369 |
| United States | 0.510189 |
| external causes | 0.500784 |
| vehicle traffic-related crashes | 0.69053 |
| motor vehicle | 0.610974 |
| youth | 0.331183 |
| group. TBI-related deaths | 0.813818 |
| Traumatic Brain Injury | 0.689374 |
|
| vehicle traffic crashes | 0.68705 |
| Concussion | 0.371657 |
| CDC Injury Center | 0.68652 |
| children | 0.332384 |
| young adults | 0.476541 |
| Age Group | 0.500937 |
| majority | 0.398739 |
| Percent Distributions | 0.548684 |
| tbi-related deaths | 0.961358 |
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| 15444 |
Centers for Disease Control and Prevention |
Html |
null |
Opportunities for Increased Physical Activity in the Workplace: the Walking Meeting (WaM) Pilot Study, Miami, 2015 |
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. |
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| 15667 |
Centers for Disease Control and Prevention |
Html |
en |
Environmental Isolation of Circulating Vaccine-DerivedPoliovirus After Interruption of Wild Poliovirus Transmission -Nigeria, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| unreported AFP cases | 0.579244 |
| global polio eradication | 0.444495 |
| environmental surveillance | 0.544725 |
| retroactive searches | 0.429656 |
| vaccine-derived poliovirus type | 0.547494 |
| wild poliovirus transmission | 0.532437 |
| Maiduguri Municipal Council | 0.635825 |
| difficult-to-reach areas | 0.427676 |
| AFP cases | 0.718874 |
| polio eradication activities | 0.562112 |
| vaccination coverage | 0.560021 |
| quality surveillance activities | 0.441479 |
| surveillance activities | 0.490357 |
| children | 0.458749 |
| emergency response activities | 0.461326 |
| supplemental immunization activities | 0.677532 |
| Nigeria Polio Emergency | 0.531717 |
| outbreak response | 0.672038 |
| Polio Emergency Operations | 0.816512 |
| Emergency Operations Center | 0.793565 |
| public health practice | 0.431075 |
| outbreak response SIAs | 0.57212 |
| international boundaries | 0.53625 |
| National Polio Emergency | 0.686871 |
|
| Nigeria National Polio | 0.773974 |
| internally displaced persons | 0.519201 |
| endemic poliovirus transmission | 0.446665 |
| oral poliovirus vaccine | 0.536683 |
| endemic wild poliovirus | 0.449347 |
| Borno State | 0.947557 |
| environmental sample | 0.556443 |
| northeastern Nigeria | 0.572279 |
| multicountry cVDPV2 outbreak | 0.447853 |
| outbreak response standard | 0.449031 |
| vaccine preventable disease | 0.43562 |
| low population immunity | 0.606848 |
| endemic WPV transmission | 0.517275 |
| Enhanced environmental surveillance | 0.449771 |
| poliovirus vaccine type | 0.442827 |
| local government areas | 0.424743 |
| effective routine immunization | 0.436904 |
| Nigeria Office | 0.435277 |
| retroactive community AFP | 0.460698 |
| additional targeted SIAs | 0.431696 |
| routine immunization activities | 0.537833 |
| northeast Nigeria | 0.455204 |
| acute flaccid paralysis | 0.558517 |
| sewage effluent site | 0.66047 |
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