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What are the Reasons to Vaccinate My Baby? | CDC Features |
Protecting your child's health is very important to you. That's why most parents choose immunization. Nothing protects babies better from 14 serious childhood diseases. Choose immunization. It's the powerful defense that's safe, prove, and effective. |
| vaccine recommendations | 0.463934 |
| American Academy | 0.534996 |
| child needs | 0.465934 |
| administration fee | 0.525453 |
| public health achievements | 0.562859 |
| children | 0.605371 |
| VFC vaccine | 0.46458 |
| young children | 0.47042 |
| vaccination rates | 0.44194 |
| devastating effects diseases | 0.582627 |
| eligible child | 0.484642 |
| childhood diseases | 0.590318 |
| large measles | 0.506371 |
| sick child | 0.461031 |
| diseases | 0.672987 |
| public health experts | 0.546557 |
| Learn ways | 0.436327 |
| safest vaccine supply | 0.593855 |
| vaccine website | 0.459604 |
| child | 0.849867 |
| United States can—and | 0.570168 |
| Unvaccinated travelers | 0.435784 |
| United States | 0.950185 |
| vaccines | 0.897516 |
|
| vaccine-preventable disease | 0.437872 |
| U.S. childhood immunization | 0.58875 |
| following eligibility requirements | 0.527241 |
| vfc program | 0.51452 |
| expensive medical bills | 0.528433 |
| measles cases | 0.503715 |
| Immunization Practices | 0.473997 |
| VFC vaccines | 0.594792 |
| powerful defense | 0.456502 |
| eligible children | 0.537275 |
| public health | 0.56818 |
| health insurance plans | 0.530587 |
| international travel | 0.442261 |
| unvaccinated people | 0.439436 |
| young parents | 0.440149 |
| certain vaccines | 0.587782 |
| baby proof | 0.450745 |
| new places | 0.45318 |
| childhood immunization schedule | 0.79767 |
| vaccine-preventable diseases | 0.456686 |
| family | 0.44608 |
| past decade | 0.440255 |
| measles | 0.574368 |
| childhood vaccines | 0.604867 |
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FluWorkLoss Special Edition |
null |
| National ILI | 0.267166 |
| h1n1 outbreak | 0.351825 |
| different attack rates | 0.312041 |
| community employment rate | 0.312111 |
| A. FluWorkLoss Special | 0.350638 |
| family member | 0.31379 |
| sick family members | 0.302519 |
| default attack rate | 0.320867 |
| number | 0.371377 |
| sick family member | 0.301113 |
| age group populations | 0.304669 |
| FluWorkLoss Results | 0.267421 |
| Special Edition program | 0.328934 |
| influenza pandemic | 0.34878 |
| previously published FluWorkLoss | 0.332836 |
| Download FluWorkLoss | 0.280913 |
| H1N1 Influenza | 0.382656 |
| distinct age groups | 0.305222 |
| PM ET | 0.263249 |
| attack rates | 0.354703 |
| H1N1 proportionate graphs | 0.318739 |
| FluAid Special Edition | 0.453051 |
| minimum number | 0.269983 |
| age group population | 0.303214 |
| beta test version | 0.295697 |
|
| age group | 0.35431 |
| specific employment information | 0.306106 |
| potential number | 0.324758 |
| pandemic start | 0.30654 |
| default number | 0.270597 |
| sick family | 0.310622 |
| total number | 0.270119 |
| total workdays | 0.438344 |
| attack rate | 0.470848 |
| H1N1 occurrence | 0.312444 |
| graphic illustrations | 0.263433 |
| Special Edition software | 0.321155 |
| Flu WorkLoss Results | 0.295154 |
| FluWorkLoss Special Edition | 0.987925 |
| newly adapted FluWorkLoss | 0.330772 |
| community cohabitat rate | 0.313025 |
| workdays | 0.555309 |
| ILI proportionate graphs | 0.31805 |
| frequent daily interaction | 0.300457 |
| Special Edition spreadsheet | 0.317753 |
| H1N1 Influenza response | 0.336412 |
| spreadsheet-based software program | 0.319707 |
| maximum number | 0.269307 |
| user | 0.279461 |
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CDC - Preventing Chronic Disease: Volume 9, 2012:11_0250 |
Although researchers develop evidence-based programs for public health practice, rates of adoption and implementation are often low. This qualitative study aimed to better understand implementation of the Program to Encourage Active, Rewarding Lives for Seniors (PEARLS), a depression care management program at a Seattle-King County area agency on aging. |
| case managers | 0.826673 |
| Policy Ment Health | 0.57686 |
| PEARLS | 0.984493 |
| program implementation | 0.654504 |
| eligibility criteria | 0.57485 |
| agency staff | 0.532469 |
| PEARLS referral | 0.591724 |
| mental health | 0.673239 |
| PEARLS roles | 0.586496 |
| depression symptoms | 0.543834 |
| PEARLS counselors | 0.683464 |
| PEARLS program delivery | 0.665157 |
| PEARLS benefits | 0.637958 |
| PEARLS programs | 0.599906 |
| health promotion research | 0.588591 |
| ADS case managers | 0.560633 |
| PEARLS implementation | 0.701792 |
| focus groups | 0.638986 |
| negative consequences | 0.56252 |
| case management | 0.539457 |
| PEARLS worksheet | 0.605245 |
| health care | 0.535777 |
| PEARLS team member | 0.631146 |
|
| PEARLS delivery discourage | 0.668409 |
| PEARLS depression treatment | 0.635694 |
| mental health settings | 0.553501 |
| advertising PEARLS | 0.600363 |
| traditional mental health | 0.565944 |
| PEARLS program staff | 0.714277 |
| focus group participants | 0.58289 |
| PEARLS clinical supervisor | 0.638277 |
| care management program | 0.569941 |
| randomized controlled trial | 0.55705 |
| PEARLS referrals | 0.609718 |
| Washington Health Promotion | 0.525769 |
| PEARLS staff member | 0.664939 |
| public health practice | 0.603033 |
| evidence-based programs | 0.573377 |
| PEARLS providers | 0.592667 |
| program eligibility criteria | 0.548078 |
| focus group | 0.888806 |
| PEARLS effectiveness study | 0.650017 |
| older adults | 0.528386 |
| Adm Policy Ment | 0.557132 |
| case manager | 0.69557 |
| PEARLS clients | 0.752991 |
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CDC Mobile - eHealth Metrics Dashboard |
CDC.gov Web Metrics Dashboard. Key performance indicators and data for CDC’s Web site, Social Media, and Campaigns. CDC is sharing this data as part of the agency’s commitment to transparent government. |
| high level | 0.30626 |
| non-mobile devices | 0.272847 |
| page views | 0.667463 |
| Zika outbreak content | 0.594924 |
| mobile phones | 0.499689 |
|
| main contributors | 0.316355 |
| mobile devices | 0.766374 |
| page | 0.906458 |
| mobile views | 0.436989 |
|
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Infant Meningococcal Vaccination: Advisory Committee onImmunization Practices ACIP Recommendations and Rationale |
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. |
| meningococcal disease outbreak | 0.703428 |
| ACIP meeting.* | 0.558711 |
| measurable meningococcal serogroups | 0.700769 |
| quadrivalent meningococcal vaccines | 0.722918 |
| meningococcal vaccine products | 0.685138 |
| sickle cell disease | 0.61829 |
| different Hib vaccine | 0.573806 |
| meningococcal disease outbreaks | 0.692254 |
| meningococcal vaccination | 0.792149 |
| increased risk | 0.573314 |
| routine meningococcal vaccination | 0.73096 |
| pneumococcal conjugate vaccine | 0.591953 |
| infants | 0.704916 |
| Meningococcal groups | 0.690402 |
| Certain infants | 0.563879 |
| Hib-MenCY-TT | 0.663932 |
| meningococcal disease | 0.946934 |
| ACIP Deliberations | 0.562034 |
| hSBA titers т‰Ѕ1 | 0.612723 |
| toxoid conjugate vaccine | 0.568628 |
| infant meningococcal vaccination | 0.752363 |
| Meningococcal Vaccines Work | 0.718846 |
| meningococcal vaccine | 0.759865 |
| infant vaccination schedule | 0.572877 |
| United States | 0.608312 |
|
| dose Hib immunization | 0.574096 |
| meningococcal vaccines | 0.760504 |
| control vaccine group | 0.560199 |
| healthy infants | 0.595934 |
| meningococcal conjugate vaccine | 0.752581 |
| potential increased risk | 0.557759 |
| ACIP | 0.635863 |
| congenital heart disease | 0.559952 |
| meningococcal cases | 0.6585 |
| serum bactericidal activity | 0.573018 |
| meningococcal vaccination recommendations | 0.71353 |
| quadrivalent meningococcal conjugate | 0.720663 |
| meningococcal conjugate vaccination | 0.705802 |
| quadrivalent meningococcal vaccine | 0.726066 |
| meningococcal clinical endpoint | 0.691811 |
| U.S. infants | 0.581701 |
| Hib vaccine | 0.593288 |
| unpublished data | 0.574321 |
| meningococcal serogroups | 0.762894 |
| ACIP meeting | 0.594154 |
| Hib-MenCY-TT vaccination | 0.565559 |
| meningitis belt | 0.560673 |
| meningococcal vaccination program | 0.736489 |
| work group | 0.563421 |
|
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Environmental Public Health Tracking Network Program |
The National Environmental Public Health Tracking Program |
| high-risk areas | 0.68068 |
| drives public health | 0.673962 |
| health alerts | 0.586244 |
| childhood lead poisonings | 0.623341 |
| New York City | 0.625494 |
| health issues | 0.646614 |
| blue-green algae conditions | 0.61102 |
| new Web applications | 0.609873 |
| data needs | 0.580011 |
| health hazards | 0.590224 |
| public’s health | 0.602999 |
| water threats | 0.567573 |
| Environmental Health | 0.594343 |
| environmentally-related health effects | 0.657189 |
| potentially hazardous situations | 0.605 |
| Utah Tracking Network | 0.667749 |
| public health officials | 0.750326 |
| epidemiologic investigations | 0.56692 |
| environmental hazards | 0.633644 |
| numerous public health | 0.675062 |
| environmental exposure | 0.578345 |
| local tracking systems | 0.654391 |
| limited resources | 0.574971 |
| city sources | 0.573577 |
|
| data warehouse | 0.572451 |
| high-risk neighborhoods | 0.580496 |
| lead poisoning rates | 0.627078 |
| tracking program | 0.749306 |
| local tracking networks | 0.653546 |
| CDC funds participation | 0.624221 |
| high risk areas | 0.626429 |
| tracking data | 0.639677 |
| Public Health Tracking | 0.721288 |
| hazard information | 0.574859 |
| public health | 0.882965 |
| chronic diseases | 0.566507 |
| Vermont Tracking Program | 0.636209 |
| critical information | 0.56714 |
| Maine Tracking Program | 0.643838 |
| health concerns | 0.593143 |
| public health programs | 0.675431 |
| local health officials | 0.671019 |
| Tracking Network | 0.995388 |
| leverages environmental data | 0.629353 |
| public inquiries | 0.58363 |
| childhood lead poisoning | 0.732358 |
| carbon monoxide poisoning | 0.639474 |
| Web-based surveillance network | 0.654686 |
|
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Preventing Chronic Disease | Prevalence of Smoke-Free Car and Home Rules in Maine Before and After Passage of a Smoke-Free Vehicle Law, 2007"2010 - CDC |
This is the first study to examine the prevalence of self-reported smoke-free rules for private cars and homes before and after the passage of a smoke-free vehicle law. |
| State smoke-free laws | 0.565218 |
| smoke-free laws | 0.610056 |
| Risk Factor Surveillance | 0.50553 |
| smoke-free indoor policies | 0.563326 |
| high school education | 0.564807 |
| statewide smoke-free vehicle | 0.631016 |
| smoke-free indoor environment | 0.584965 |
| tobacco control state | 0.505078 |
| Disease Control | 0.546332 |
| children | 0.528252 |
| smoke-free public places | 0.555468 |
| increase smoke-free norms | 0.564324 |
| smoke-free home rule | 0.582073 |
| secondhand smoke | 0.658724 |
| voluntary smoke-free rules | 0.622604 |
| smoke-free vehicle law | 0.912874 |
| tobacco smoke | 0.630785 |
| smoke-free vehicle study | 0.582796 |
| smoke-free car rule | 0.71495 |
| smoke-free vehicle ordinance | 0.591849 |
| smoke-free car rules | 0.872971 |
| smoke-free home rules | 0.792514 |
| Nicotine Tob Res | 0.528282 |
| Behavioral Risk Factor | 0.506809 |
| smoke-free car law | 0.664646 |
|
| smoke-free home policies | 0.609124 |
| smoke-free workplace | 0.566159 |
| voluntary smoke-free home | 0.625465 |
| smoke-free homes | 0.541103 |
| United States | 0.503653 |
| Self-reported smoke-free car | 0.616284 |
| Maine | 0.546024 |
| smoke-free rules | 0.754839 |
| tobacco smoke pollution | 0.508669 |
| smoke-free rule prevalence | 0.643474 |
| public smoke-free laws | 0.577073 |
| Scottish smoke-free legislation | 0.556591 |
| smoking | 0.570663 |
| smoke-free policies | 0.546047 |
| smoke-free vehicle rules | 0.602054 |
| strong smoke-free workplace | 0.560725 |
| secondhand smoke exposure | 0.626093 |
| voluntary smoke-free car | 0.620129 |
| smoke-free vehicles | 0.547157 |
| smoke-free vehicle rule | 0.573412 |
| self-reported smoke-free rules | 0.621458 |
| comprehensive smoke-free workplace | 0.550735 |
| smoke-free vehicle laws | 0.588154 |
| control state highlights | 0.50353 |
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Colorectal Cancer Screening Tests |
Descriptions of colorectal (colon) cancer screening tests, including high-sensitivity fecal occult blood testing (FOBT), sigmoidoscopy, colonoscopy, double-contrast barium enema, virtual colonoscopy, and stool DNA tests. |
| entire colon | 0.566366 |
| entire bowel movement | 0.546275 |
| Task Force | 0.636916 |
| U.S. Preventive Services | 0.620648 |
| stool DNA test | 0.739651 |
| test kit | 0.514565 |
| screening tests | 0.567025 |
| health care provider | 0.563557 |
| cancer cells | 0.33994 |
| flexible sigmoidoscopy | 0.35705 |
| chemical guaiac | 0.357588 |
| lighted tube | 0.584986 |
| increased risk | 0.365057 |
| following colorectal cancer | 0.646393 |
| polyps | 0.423616 |
|
| colorectal cancer | 0.942261 |
| guaiac-based fecal occult | 0.598687 |
| test | 0.928995 |
| fecal immunochemical test | 0.634748 |
| blood test | 0.387629 |
| following tests | 0.34448 |
| virtual colonoscopy | 0.354665 |
| best test | 0.363552 |
| doctor | 0.644748 |
| FIT-DNA test | 0.3811 |
| follow-up test | 0.365127 |
| doctor checks | 0.344722 |
| individual basis | 0.378267 |
| rectum | 0.308555 |
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Detección del consumo de alcohol y consejería |
Signos Vitales de los CDC ofrece datos recientes y hace un llamado a actuar respecto de importantes temas de salud pública |
| Washington D | 0.375564 |
| Bajo Precio | 0.778332 |
| Archivo Apple Quicktime | 0.411448 |
| Archivo Microsoft PowerPoint | 0.419546 |
| Archivo Adobe PDF | 0.410184 |
| Archivo Microsoft | 0.614329 |
|
| Archivo Microsoft Word | 0.418323 |
| Archivo Zip Comprimido | 0.410169 |
| organizaciones proveedoras | 0.37438 |
| alto consumo | 0.531118 |
| Archivo Microsoft Excel | 0.409545 |
| seguro médico | 0.900119 |
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Nutrition Recommendations and the Children’s Food and Beverage Advertising Initiative’s 2014 Approved Food and Beverage Product List |
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. |
| federal Interagency Working | 0.277441 |
| new CFBAI | 0.269684 |
| CFBAI product categories | 0.298438 |
| CFBAI-approved product list | 0.283238 |
| nutrition recommendations | 0.325673 |
| CFBAI-approved products | 0.337985 |
| respective IWG recommendations | 0.328121 |
| beverage product | 0.469895 |
| IWG Principle | 0.315207 |
| child-directed food | 0.285047 |
| IWG member agencies | 0.271599 |
| Interagency Working Group | 0.683511 |
| Children’s Food | 0.351926 |
| sodium | 0.323558 |
| product categories | 0.364503 |
| sugar | 0.399096 |
| beverage list | 0.268508 |
| beverage companies | 0.275139 |
| CFBAI uniform nutrition | 0.286976 |
| nutrition facts panels | 0.26828 |
| IWG recommendations | 0.994024 |
| CFBAI-approved food products | 0.344071 |
| products CFBAI | 0.284877 |
| products | 0.948983 |
| nutrients | 0.343836 |
|
| advertised products | 0.311969 |
| IWG’s recommendations | 0.290706 |
| CFBAI products | 0.272401 |
| individual items | 0.418326 |
| television programs | 0.529126 |
| government-based Interagency Working | 0.275653 |
| beverage product advertising | 0.331725 |
| Federal Trade Commission | 0.26545 |
| CFBAI member companies | 0.293093 |
| children’s television | 0.512764 |
| Beverage Advertising Initiative | 0.583622 |
| product information documents | 0.272381 |
| uniform nutrition criteria | 0.394376 |
| saturated fat | 0.306725 |
| RACC | 0.287966 |
| total products | 0.283228 |
| food | 0.573277 |
| exempt products | 0.262227 |
| beverage product advertisements | 0.318124 |
| CFBAI sodium restrictions | 0.298803 |
| beverage products | 0.855304 |
| CFBAI | 0.511702 |
| voluntary nutrition guidelines | 0.280877 |
| IWG sodium limits | 0.307457 |
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