| 6197 |
Centers for Disease Control and Prevention |
Html |
en |
Strategies implemented by 20 local tobacco control agencies to promote smoke-free recreation areas, California, 2004-2007. |
null |
| local policy adoption | 0.309442 |
| smoke-free policy | 0.710382 |
| recreational areas | 0.305315 |
| county | 0.353261 |
| support smoke-free policy | 0.461112 |
| local data | 0.302234 |
| tobacco control programs | 0.311215 |
| smoke-free park/beach ordinances | 0.3243 |
| local smoke-free policy | 0.520349 |
| secondhand smoke | 0.400523 |
| smoke-free baseball park | 0.326886 |
| local policy initiatives | 0.29959 |
| smoke-free beach ordinance | 0.320285 |
| smoke-free beaches | 0.294402 |
| smoke-free fair | 0.318543 |
| tobacco smoke-free policies | 0.402687 |
| smoke-free outdoor area | 0.373677 |
| decision makers | 0.388743 |
| smoke-free outdoor policies | 0.473454 |
| smoke-free beach/pier policy | 0.416041 |
| local projects | 0.376706 |
| local policy change | 0.408103 |
| Smoke-free pride parades | 0.322238 |
| smoke-free parks | 0.365859 |
| Angeles County Smoke-free | 0.352849 |
|
| city councils | 0.378176 |
| smoke-free outdoor areas | 0.376928 |
| smoke-free outdoor spaces | 0.394216 |
| smoke-free events | 0.297435 |
| outdoor smoke-free policies | 0.486944 |
| (event coordinators) | 0.399505 |
| tobacco control policy | 0.392767 |
| smoke-free policies | 0.775192 |
| local smoke-free policies | 0.51928 |
| local political climate | 0.506575 |
| smoke-free ordinance | 0.299559 |
| successful local policy | 0.315212 |
| local policy makers | 0.311389 |
| voluntary smoke-free policy | 0.392659 |
| outdoor smoke-free policy | 0.519653 |
| Tobacco Control Evaluation | 0.312898 |
| tobacco control program | 0.480619 |
| comprehensive smoke-free policy | 0.379824 |
| local tobacco control | 0.455195 |
| tobacco control organizations | 0.298835 |
| smoke-free recreational facilities | 0.361723 |
| policy makers | 0.463088 |
| smoke-free policy efforts | 0.502257 |
| tobacco control | 0.940711 |
|
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| 6509 |
Centers for Disease Control and Prevention |
Html |
en |
Maps - Yellow Fever |
Maps of Yellow fever endemic areas in Africa and South America. |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
|
CLICK HERE |
| 8412 |
Centers for Disease Control and Prevention |
Html |
en |
Assuring Healthy Caregivers, A Public Health Approach to Translating Research into Practice: The RE-AIM Framework - Aging |
null |
| widespread practice | 0.526556 |
| CDC | 0.419149 |
| program developers | 0.500124 |
| evaluators | 0.424451 |
| family member | 0.507159 |
| individuals | 0.420649 |
| number | 0.420731 |
| Disease Control | 0.602929 |
| Aging | 0.458902 |
| American Society | 0.507465 |
| development | 0.420624 |
| issue | 0.420781 |
| effective interventions | 0.525019 |
| key questions | 0.502382 |
| exponential growth | 0.528659 |
| Healthy Caregivers | 0.758132 |
| National Alliance | 0.50681 |
| positive difference | 0.512389 |
| caregiver burden | 0.554271 |
| additional resources | 0.500019 |
| unpaid care | 0.523149 |
| Translating Research | 0.72363 |
| U.S. report | 0.506076 |
| Neenah | 0.421527 |
| AARP | 0.425629 |
|
| policy intervention | 0.503198 |
| Centers | 0.435432 |
| Case examples | 0.500748 |
| United States | 0.507467 |
| policies | 0.437273 |
| Public Health Approach | 0.946398 |
| unpaid labor force | 0.606511 |
| Prevention | 0.435374 |
| national concern | 0.520803 |
| Kimberly-Clark Corporation | 0.716955 |
| one-year economic value | 0.595778 |
| huge costs | 0.518704 |
| NCOA | 0.428998 |
| caregiver intervention program | 0.607287 |
| re-aim framework | 0.915262 |
| families | 0.439942 |
| caregiving | 0.479024 |
| neighbor | 0.422791 |
| U.S. households | 0.515249 |
| America Conference | 0.510193 |
| evidence-based programs | 0.519072 |
| National Council | 0.508653 |
| public health priority | 0.626922 |
| successful translation efforts | 0.601685 |
|
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| 8519 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Integrating Weight Bias Awareness and Mental Health Promotion Into Obesity PreventionDelivery: A Public Health Pilot Study - CDC |
Promoting healthy weight is a top priority in Canada. Recent federal guidelines call for sustained, multisectoral partnerships that address childhood obesity on multiple levels. Current healthy weight messaging does not fully acknowledge the influence of social determinants of health on weight. |
| self-report survey | 0.482927 |
| critical incidents | 0.479558 |
| personal weight biases | 0.474655 |
| public health practitioners | 0.484893 |
| Prev Chronic Dis | 0.475881 |
| healthy weight promotion | 0.487696 |
| professional development intervention | 0.48476 |
| obesity prevention | 0.514106 |
| Current healthy weight | 0.475329 |
| health promotion messaging | 0.476917 |
| health professionals | 0.481485 |
| health promotion delivery | 0.487153 |
| weight bias awareness | 0.699358 |
| workshop | 0.498881 |
| healthy weight messaging | 0.620119 |
| health promoters | 0.572505 |
| Public Health Sciences | 0.474943 |
| Antifat Attitudes Questionnaire | 0.486148 |
| professional development | 0.56035 |
| public health practice | 0.49182 |
| open-ended self-report survey | 0.48084 |
| public health disciplines | 0.492706 |
| 6-week follow-up period | 0.483181 |
| chronic disease prevention | 0.479716 |
|
| weight bias | 0.883559 |
| Body Satisfaction Scale | 0.477988 |
| Gail L. McVey | 0.532956 |
| public health planning | 0.478306 |
| weight bias scores | 0.487486 |
| mental health promotion | 0.925428 |
| media stereotypes | 0.573334 |
| public health units | 0.534769 |
| public health participants | 0.496473 |
| public health promoters | 0.499751 |
| shape preoccupation | 0.48888 |
| body satisfaction | 0.536927 |
| public health professionals | 0.474895 |
| public health | 0.758528 |
| participants | 0.541828 |
| Integrating Weight Bias | 0.494469 |
| public health workers | 0.494718 |
| public health managers | 0.481499 |
| Public Health Pilot | 0.496645 |
| public health core | 0.475231 |
| physical activity | 0.509404 |
| obesity prevention work | 0.482865 |
| antifat attitudes | 0.699657 |
| Public Health Service | 0.476805 |
|
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| 11625 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Telebriefing: Update on Ebola Response Tool | Transcript | CDC Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| data | 0.563043 |
| maggie fox | 0.424071 |
| United Nations | 0.458144 |
| advisable treatment units | 0.414458 |
| guinea | 0.410105 |
| ETUs | 0.451427 |
| joint force command | 0.663006 |
| number | 0.463792 |
| direct patient care | 0.417934 |
| terms | 0.426792 |
| things | 0.446963 |
| model | 0.433157 |
| good morning | 0.521846 |
| epidemic | 0.485816 |
| tom frieden | 0.928493 |
| countries | 0.473369 |
| Asian countries | 0.408127 |
| ebola treatment units | 0.789227 |
| Ebola response tool | 0.474243 |
| community care models | 0.418043 |
| eben brown | 0.450372 |
| ground | 0.495549 |
| richard besser | 0.455054 |
| care | 0.52777 |
| Ebola virus disease | 0.421121 |
|
| Ebola epidemic | 0.418027 |
| community care | 0.457131 |
| Miss Smith | 0.43134 |
| line | 0.430242 |
| MENU
CDC A-Z | 0.411554 |
| TOM SKINNER | 0.781582 |
| death rate | 0.427574 |
| Sierra Leone | 0.618633 |
| Ebola care units | 0.451881 |
| emergency Ebola response | 0.456165 |
| dr. frieden | 0.956769 |
| health care workers | 0.42118 |
| gayle smith | 0.915822 |
| Dr. Tom Frieden | 0.524695 |
| cases | 0.409286 |
| question | 0.58178 |
| Ebola treatment centers | 0.43825 |
| lena sun | 0.424472 |
| Ms. Gayle Smith | 0.519722 |
| people | 0.50863 |
| assistance response team | 0.425342 |
| OPERATOR | 0.43844 |
| response | 0.648677 |
| West Africa | 0.412595 |
|
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| 12976 |
Centers for Disease Control and Prevention |
Html |
en |
Misperceptions Keep Kids from Getting Lifesaving Treatment for Tickborne Diseases |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| high rates | 0.388522 |
| untreated cases | 0.36275 |
| tooth staining | 0.625954 |
| average time | 0.355637 |
| older tetracyclines | 0.387228 |
| doxycycline | 0.959564 |
| Dr. Jennifer McQuiston | 0.526434 |
| tooth enamel | 0.711247 |
| drug | 0.488471 |
| severe tickborne disease | 0.517317 |
| label cautions | 0.404218 |
| Disease Control | 0.385878 |
| rickettsial infection | 0.379204 |
| children | 0.737145 |
| young children | 0.431501 |
| U.S. Food | 0.382599 |
| RMSF). | 0.438426 |
| new study | 0.406793 |
| CDC epidemiologist | 0.394086 |
| IHS researchers | 0.401107 |
| short courses | 0.548819 |
| dental concerns | 0.352288 |
| Previous studies | 0.381202 |
| tetracycline-class antibiotics | 0.383724 |
| warning label | 0.379473 |
|
| current study | 0.383107 |
| study | 0.418668 |
| United States | 0.368916 |
| Drug Administration | 0.38925 |
| non-specific symptoms | 0.370067 |
| RMSF deaths | 0.396558 |
| Rocky Mountain | 0.398661 |
| tickborne diseases | 0.433149 |
| effective RMSF treatment | 0.605863 |
| life-saving drug | 0.387774 |
| antibiotic doxycycline | 0.654628 |
| permanent teeth | 0.387019 |
| RMSF | 0.836765 |
| tooth problems | 0.521445 |
| American Indian reservation | 0.532163 |
| community-acquired pneumonia | 0.384479 |
| doxycycline treatment | 0.609258 |
| Indian Health Service | 0.537767 |
| dental health | 0.369573 |
| lab results | 0.377696 |
| bacterium Rickettsia | 0.386219 |
| related infections | 0.365769 |
| medical records | 0.388989 |
| tooth color | 0.803735 |
|
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| 13250 |
Centers for Disease Control and Prevention |
Html |
en |
Ebola and Contact Tracing (2:45) |
The video describes contact tracing, a method used by CDC and partners to identify new Ebola cases quickly and isolate patients as soon as they show symptoms, preventing spread to others. |
| new Ebola cases | 0.670638 |
| method | 0.248576 |
| contact tracing | 0.454665 |
| patients | 0.248129 |
| careful tracing | 0.477187 |
| videos | 0.605858 |
| Associate Director | 0.442054 |
| Source | 0.245425 |
| symptoms | 0.247937 |
| feedback | 0.247483 |
| preparedness topics | 0.730286 |
| variety | 0.30048 |
|
| children | 0.298194 |
| partners | 0.248416 |
| safety | 0.30021 |
| different audiences | 0.711667 |
| outbreak | 0.261746 |
| public health professionals | 0.919908 |
| CDC-TV videos | 0.599573 |
| comment | 0.24956 |
| new cases | 0.417617 |
| contacts | 0.246733 |
| Release Date | 0.449595 |
|
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| 14099 |
Centers for Disease Control and Prevention |
Html |
en |
Possible Association Between Zika Virus Infection and Microcephaly - Brazil, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Embryopathy Task Force | 0.47994 |
| Zika virus | 0.959129 |
| autochthonous Zika virus | 0.503542 |
| task force | 0.518729 |
| pregnant women | 0.498212 |
| Brazil | 0.563648 |
| birth prevalence | 0.462235 |
| gestational age | 0.528135 |
| incident microcephaly cases | 0.594671 |
| Zika virus exposure | 0.501637 |
| Zika virus RNA | 0.571836 |
| infants | 0.539805 |
| previously reported estimates | 0.46658 |
| northeast Brazil | 0.46348 |
| virus-associated congenital infections | 0.459403 |
| microcephaly registry | 0.559631 |
| Brazil Ministry | 0.488953 |
| dengue virus | 0.490248 |
| pregnancy | 0.472771 |
| insect repellents | 0.480187 |
| microcephaly depend | 0.545987 |
| Zika virus–related cases | 0.495839 |
| newly circulating virus | 0.483962 |
| live births | 0.477979 |
|
| rash illness | 0.50019 |
| major congenital anomalies | 0.459282 |
| head circumference | 0.563756 |
| Environmental Protection Agency | 0.488638 |
| Rio Grande | 0.46978 |
| term infants | 0.452797 |
| simplex virus infections | 0.491214 |
| microcephaly cases | 0.599596 |
| adverse pregnancy outcomes | 0.453928 |
| MoH | 0.465363 |
| pregnancy outcomes | 0.454888 |
| possible association | 0.465986 |
| congenital anomalies | 0.491283 |
| Zika virus infection | 0.834597 |
| congenital infections | 0.540316 |
| U.S. Environmental Protection | 0.488397 |
| special notification protocol | 0.466256 |
| potential Zika virus | 0.542261 |
| Medical Genetics | 0.468088 |
| northeastern Brazil | 0.467739 |
| Zika Embryopathy Task | 0.470829 |
| Zika virus-affected areas | 0.570503 |
| potential breeding areas | 0.455835 |
| neonatal head circumference | 0.4539 |
|
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| 14221 |
Centers for Disease Control and Prevention |
Html |
en |
Announcement | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| sleep disorders | 0.658774 |
| optimal health | 0.202646 |
| good sleep habits | 0.862684 |
| light-emitting electronic devices | 0.334864 |
| American Academy | 0.347209 |
| original MMWR paper | 0.296869 |
| poor mental health | 0.33095 |
| Human Services | 0.278597 |
|
| Research Society recommend | 0.353079 |
| U.S. Department | 0.273221 |
| National Sleep Foundation | 0.74726 |
| high blood pressure | 0.325569 |
| electronic PDF version | 0.289225 |
| Sleep Research Society | 0.979776 |
| Sleep Medicine | 0.69189 |
| Consensus Conference Panel | 0.307208 |
|
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| 16281 |
Centers for Disease Control and Prevention |
Html |
en |
FastStats - Heart Disease |
null |
| primary diagnosis | 0.616781 |
| Death rates | 0.392495 |
| Cancer Mortality | 0.383219 |
| Average length | 0.382106 |
| United States | 0.752191 |
| potential life | 0.384336 |
| Final Data | 0.394966 |
| Health Statistics Tables | 0.635741 |
| Ambulatory Medical Care | 0.954098 |
| National Health Interview | 0.640067 |
| National Hospital Discharge | 0.562446 |
| Recent Patterns | 0.379536 |
| Cost | 0.231625 |
| Leading Cause | 0.377918 |
| Source | 0.347038 |
| first-listed diagnostic categories | 0.53958 |
| visits | 0.280861 |
| PDF | 0.461315 |
| Number | 0.345363 |
| heart disease | 0.77149 |
| KB | 0.457588 |
|
| causes | 0.2302 |
| common hospital operating | 0.561118 |
| death rank | 0.403235 |
| deaths | 0.352235 |
| National Ambulatory Medical | 0.616956 |
| Table A-1 | 0.459429 |
| Congestive Heart Failure | 0.548408 |
| National Summary Tables | 0.599686 |
| room procedures | 0.391694 |
| race | 0.254815 |
| Hispanic origin Health | 0.549147 |
| sex | 0.254863 |
| age Health | 0.395701 |
| diseases | 0.230943 |
| Hospitalization | 0.239078 |
| hospital discharges | 0.433022 |
| National Hospital Ambulatory | 0.615997 |
| Medical Care Survey | 0.911523 |
| hospital outpatient departments | 0.589188 |
| principal procedure Health | 0.551167 |
| U.S. Adults | 0.428623 |
|
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