| 842 |
Centers for Disease Control and Prevention |
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Families with Special Needs - CDC Features |
Being informed, getting support, and taking care of yourself can help you and those you care for stay safe and healthy. |
| CDC.gov Current Features | 0.906892 |
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CLICK HERE |
| 4586 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 6595 |
Centers for Disease Control and Prevention |
Html |
en |
Binge Drinking Prevalence, Frequency, and Intensity Among Adults - United States, 2010 |
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. |
| lowest prevalence | 0.3365 |
| binge drinkers | 0.519274 |
| Binge drinking accounts | 0.466606 |
| lower prevalence | 0.366355 |
| Risk Factor Surveillance | 0.361 |
| higher prevalence | 0.353807 |
| binge drinking | 0.954503 |
| highest age-adjusted prevalence | 0.371219 |
| telephone developmental dataset | 0.340519 |
| BRFSS | 0.340794 |
| high intensity | 0.365587 |
| Excessive alcohol use* | 0.335351 |
| age-adjusted intensity | 0.345378 |
| adult binge drinking | 0.48412 |
| 48 states | 0.34389 |
| response rate | 0.334728 |
| southern Mountain states | 0.348814 |
| binge drinking episodes | 0.451252 |
| heavy drinking | 0.353777 |
| persons | 0.335608 |
| average prevalence | 0.340758 |
| cellular telephone respondents | 0.415658 |
| highest frequency | 0.367631 |
| cellular telephone-only adults | 0.344377 |
|
| largest number | 0.342524 |
| Behavioral Risk Factor | 0.3615 |
| binge drinking episode | 0.449232 |
| occasion | 0.370818 |
| economic costs | 0.338219 |
| overall prevalence | 0.350982 |
| United States | 0.362058 |
| drinks | 0.384541 |
| average intensity | 0.334973 |
| alcohol consumption | 0.402498 |
| alcoholic beverages | 0.369785 |
| states | 0.386614 |
| excessive alcohol | 0.359186 |
| highest binge drinking | 0.48537 |
| total number | 0.33974 |
| excessive drinking | 0.364919 |
| landline respondents | 0.342985 |
| U.S. adults | 0.352518 |
| intensity | 0.418737 |
| Chronic Disease Prevention | 0.33934 |
| household incomes | 0.385378 |
| developmental dataset | 0.37515 |
| binge drinking prevalence | 0.586894 |
| excessive alcohol consumption | 0.355608 |
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| 6947 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 11205 |
Centers for Disease Control and Prevention |
Html |
es |
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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| 11285 |
Centers for Disease Control and Prevention |
Html |
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Sepsis Questions and Answers |
CDC - The sepsis webpage includes basic information about sepsis, clinical tools and resources, quality improvement information, data reports, and related references and links. |
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| 13359 |
Centers for Disease Control and Prevention |
Html |
en |
Recent Outbreaks and Incidents|CDC |
CDC’s Recent Outbreaks and Incidents Web page informs on current public health emergency topics including diseases, infections, and natural disasters. |
| ATSDR staff | 0.559456 |
| Hurricane Maria | 0.442463 |
| CDC | 0.787583 |
| Zika infection | 0.259991 |
| Hurricane Irma | 0.666703 |
| Emergency Operations Center | 0.828482 |
| latest updates | 0.2799 |
| travel notices | 0.259319 |
| Zika | 0.311883 |
| aftermath | 0.211679 |
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| U.S. government activities | 0.813024 |
| tropical storms | 0.537183 |
| Current Outbreak List | 0.432402 |
| Guillain-Barré syndrome | 0.261689 |
| hurricanes | 0.207095 |
| New page | 0.279383 |
| birth defect | 0.260722 |
| Hurricane Harvey | 0.665903 |
| Virus Disease Outbreak | 0.434179 |
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| 13766 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: A Cluster of Ocular Syphilis Cases -Seattle, Washington, and San Francisco, California,2014-2015 |
Sophie Woolston, MD1; Stephanie E. Cohen, MD2,3; Robyn Neblett Fanfair, MD4; Sarah C. Lewis, MD3; Christina M. |
| positive CSF VDRL | 0.460773 |
| laboratory-confirmed syphilis | 0.564239 |
| 6HIV/STD Control Program | 0.39337 |
| San Francisco Department | 0.401461 |
| titer range | 0.407114 |
| ocular syphilis | 0.901556 |
| possible ocular syphilis | 0.631165 |
| Francisco Department | 0.401722 |
| ischemic optic neuropathy | 0.396687 |
| early syphilis | 0.540388 |
| west coast health | 0.404865 |
| secondary syphilis | 0.519288 |
| Median age | 0.446542 |
| positive serum RPR | 0.417424 |
| Robyn Neblett Fanfair | 0.519091 |
| aqueous crystalline penicillin | 0.510176 |
| Stephanie E. Cohen | 0.411138 |
| HIV-RNA lab data | 0.399002 |
| early latent syphilis | 0.756912 |
| patients | 0.54349 |
| symptomatic ocular syphilis | 0.658304 |
| ocular complaints | 0.417104 |
| venereal disease research | 0.405956 |
| careful neurologic exam | 0.393023 |
|
| false negative RPR | 0.406768 |
| female commercial sex | 0.400759 |
| human immunodeficiency virus | 0.40542 |
| immediate ophthalmologic evaluation | 0.405665 |
| median HIV-RNA | 0.437618 |
| Public Health | 0.436274 |
| 2San Francisco Department | 0.394845 |
| contact Sara E. | 0.392631 |
| local health department | 0.398787 |
| ocular symptoms | 0.520319 |
| CSF analysis | 0.405053 |
| ocular syphilis cases | 0.715264 |
| Ophthalmologic examinations | 0.426713 |
| mutually monogamous relationship | 0.395358 |
| CSF results | 0.399887 |
| rapid plasma reagin | 0.399599 |
| Christina M. Marra | 0.415172 |
| San Francisco | 0.403483 |
| sexually active persons | 0.393085 |
| late latent syphilis | 0.691995 |
| vision loss | 0.415551 |
| normal CSF examination | 0.437234 |
| King County | 0.53155 |
| permanent visual loss | 0.395915 |
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| 15385 |
Centers for Disease Control and Prevention |
Html |
en |
Changes in Georgia Restaurant and Bar Smoking Policies From2006 to 2012 |
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. |
| Georgia restaurants | 0.506225 |
| liquor license | 0.533924 |
| smokefree laws | 0.617172 |
| unrestricted smoking | 0.525861 |
| smoking dining areas | 0.569343 |
| smoking cessation attempts | 0.541345 |
| smokefree policies | 0.586273 |
| Prev Chronic Dis | 0.473027 |
| bar areas | 0.526257 |
| Georgia Smokefree Indoor | 0.557324 |
| Survey Research Center | 0.483906 |
| bar owners | 0.478185 |
| percentage | 0.489319 |
| bar smoking policies | 0.624956 |
| partial smokefree laws | 0.530002 |
| smoking areas | 0.628439 |
| comprehensive smokefree policies | 0.524417 |
| smokefree legislation | 0.548379 |
| smoking policy status | 0.564037 |
| outdoor areas | 0.557624 |
| clean indoor air | 0.489624 |
| Georgia Survey Research | 0.47291 |
| Georgia Smokefree Air | 0.684691 |
| restaurants | 0.597611 |
|
| smoking policy | 0.616621 |
| smoking patrons | 0.52557 |
| logistic regression analysis | 0.493418 |
| study | 0.471053 |
| United States | 0.496818 |
| public establishments | 0.478712 |
| smokefree law | 0.609919 |
| outdoor dining | 0.470952 |
| comprehensive smokefree legislation | 0.520793 |
| establishments | 0.657318 |
| weighted logistic regression | 0.54697 |
| smoking | 0.876015 |
| Georgia State University | 0.540599 |
| public health | 0.501059 |
| smokefree restaurant laws | 0.571937 |
| outdoor smoking policy | 0.564825 |
| secondhand smoke exposure | 0.577625 |
| health | 0.516843 |
| indoor air | 0.508504 |
| bars | 0.606983 |
| smoking-allowed establishments | 0.56267 |
| Chronic Disease Prevention | 0.477221 |
| comprehensive smokefree laws | 0.572841 |
| policy makers | 0.513567 |
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| 16324 |
Centers for Disease Control and Prevention |
Html |
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FastStats - Whooping Cough or Pertusis |
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| number | 0.364324 |
| dose | 0.405914 |
| doses | 0.420997 |
| cases | 0.363574 |
|
| Percent | 0.530297 |
| adolescents | 0.396107 |
| new whooping cough | 0.950243 |
| Tdap vaccination | 0.674066 |
|
CLICK HERE |