| 729 |
Centers for Disease Control and Prevention |
Html |
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Clinical and Behavioral Characteristics of Adults Receiving Medical Care for HIV Infection - Medical Monitoring Project, United States, 2007 |
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. |
| National HIV/AIDS Strategy | 0.343637 |
| Alternate Text | 0.349112 |
| T-lymphocyte test | 0.361958 |
| Human Services | 0.342886 |
| abuse treatment services | 0.371993 |
| MMWR HTML versions | 0.342258 |
| private health insurance | 0.381709 |
| electronic PDF version | 0.344645 |
| HIV status | 0.356872 |
| male sex partner | 0.463344 |
| antiretroviral medications | 0.380871 |
| CD4 count | 0.35317 |
| MMP participants | 0.415292 |
| HIV Cost | 0.380336 |
| Prevention planning groups | 0.348372 |
| behavioral characteristics | 0.355788 |
| human immunodeficiency virus | 0.362878 |
| HIV prevention activities | 0.418365 |
| recent viral load | 0.411498 |
| female sex partner | 0.367757 |
| viral load test | 0.522747 |
| low participation rate | 0.342696 |
| Medical Monitoring Project | 0.398812 |
| recent self-reported HIV | 0.422086 |
|
| frequently used drugs | 0.352315 |
| original MMWR paper | 0.348528 |
| U.S. Government Printing | 0.34567 |
| mental health counseling | 0.377927 |
| recent sex partner | 0.37079 |
| HIV-infected adults | 0.400468 |
| CD4+ T-lymphocyte count | 0.362325 |
| viral load testing | 0.413202 |
| bar chart | 0.355768 |
| record abstraction data | 0.357372 |
| local health departments | 0.359389 |
| participants | 0.504692 |
| health maintenance organization | 0.381756 |
| unmet support service | 0.354514 |
| Public health recommendations | 0.362805 |
| medical care | 0.642271 |
| Services Utilization Study | 0.400247 |
| supplemental surveillance project | 0.356251 |
| HIV viral load | 0.912378 |
| critical support services | 0.374436 |
| HIV case management | 0.435286 |
| HIV infection | 0.407885 |
| medical record abstraction | 0.467489 |
| viral load tests | 0.406248 |
|
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| 5819 |
Centers for Disease Control and Prevention |
Html |
en |
2-Chloro-6-trichloromethyl pyridine - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 7224 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Preventing Chronic Disease: Volume 9, 2012: 12_0023 |
The objective of this study was to determine whether data from 3 sources would yield a single, homogenous, healthful food store category that can be used to accurately characterize community nutrition environments for public health research. |
| food stores | 0.722603 |
| chain grocery stores | 0.310876 |
| nutritious food items | 0.439568 |
| food store category | 0.237297 |
| food store location | 0.203831 |
| convenience stores | 0.533667 |
| study area | 0.220411 |
| commercial database | 0.29229 |
| annual sales volume | 0.296304 |
| large grocery stores | 0.43173 |
| stores vs | 0.255683 |
| independent food stores | 0.393878 |
| independent stores | 0.260506 |
| nutritious food score | 0.34039 |
| small food stores | 0.652473 |
| larger grocery stores | 0.288108 |
| percentage | 0.234203 |
| nutritious food | 0.730225 |
| public health | 0.243014 |
| fresh food availability | 0.230434 |
|
| commercial databases | 0.206486 |
| community nutrition environments | 0.423255 |
| selected stores | 0.262567 |
| store type | 0.426291 |
| stores | 0.926999 |
| specialty stores | 0.524364 |
| grocery stores | 0.716127 |
| nutritious food availability | 0.273223 |
| healthful food store | 0.241425 |
| specialty food stores | 0.296035 |
| nutritious foods | 0.29211 |
| San Francisco | 0.252365 |
| small grocery stores | 0.637694 |
| nonchain food stores | 0.419807 |
| in-store surveys | 0.277018 |
| nutritious food options | 0.28533 |
| fresh food | 0.267824 |
| liquor stores | 0.248972 |
| fresh food items | 0.237579 |
| healthful food stores | 0.320146 |
|
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| 8706 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Prevalence of Multiple Chronic Conditions Among Medicare Beneficiaries, United States, 2010 - CDC |
The increase in chronic health conditions among Medicare beneficiaries has implications for the Medicare system. The objective of this study was to use the US Department of Health and Human Services Strategic Framework on multiple chronic conditions as a basis to examine the prevalence of multiple chronic conditions among Medicare beneficiaries. |
| fee-for-service claims data | 0.432146 |
| nondual beneficiaries | 0.462663 |
| non-Hispanic white | 0.437834 |
| disabled beneficiaries | 0.461452 |
| highest prevalence | 0.47376 |
| ischemic heart disease | 0.463989 |
| higher prevalence | 0.442432 |
| multiple chronic conditions | 0.949868 |
| Medicare fee-for-service population | 0.491793 |
| female beneficiaries | 0.482266 |
| beneficiaries eligible | 0.470485 |
| select Medicare beneficiary | 0.457415 |
| Hispanic women | 0.435178 |
| Chronic Conditions Data | 0.490286 |
| management strategies | 0.436487 |
| Medicare claim | 0.451145 |
| female dual-eligible beneficiaries | 0.484009 |
| male dual-eligible beneficiaries | 0.472493 |
| traditional Medicare | 0.447083 |
| Medicare enrollment data | 0.45715 |
| age groups | 0.461699 |
| Medicare fee-for-service beneficiaries | 0.508008 |
| health care management | 0.442745 |
| total Medicare population | 0.458156 |
|
| chronic conditions increases | 0.486952 |
| Chronic Disease | 0.473027 |
| fee-for-service program | 0.432063 |
| women | 0.459759 |
| chronic kidney disease | 0.480857 |
| chronic health conditions | 0.528002 |
| Medicare enrollment | 0.457286 |
| Medicaid Services | 0.445507 |
| Medicare fee-for-service parts | 0.464407 |
| prevalence | 0.504485 |
| Non-Hispanic black men | 0.439613 |
| non-Hispanic blacks | 0.440101 |
| dual-eligible beneficiaries | 0.490804 |
| non-Hispanic whites | 0.438917 |
| male beneficiaries | 0.475617 |
| Chronic Condition Data | 0.484182 |
| Medicare beneficiaries | 0.721789 |
| fee-for-service Medicare beneficiaries | 0.51558 |
| common chronic conditions | 0.486481 |
| study population | 0.439725 |
| chronic condition comorbidities | 0.483678 |
| Medicare spending | 0.472366 |
| HHS Strategic Framework | 0.466015 |
| Medicare Advantage enrollment | 0.455903 |
|
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| 10769 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Global Health - Polio - Updates on CDC's Polio Eradication Efforts - April 18, 2014 |
Polio is a crippling and potentially deadly infectious disease caused by a virus that spreads from person to person invading the brain and spinal cord and causing paralysis. CDC is a strategic partner in the overall effort to eradicate polio worldwide. |
| global polio eradication | 0.87136 |
| Large-scale polio vaccination | 0.498203 |
| GPEI partners | 0.363403 |
| polio eradication plans | 0.568361 |
| polio eradication | 0.987617 |
| Polio incidence | 0.473627 |
| polio outbreaks | 0.488265 |
| public health volunteers | 0.36164 |
| Polio Eradication Effort | 0.607644 |
| wild poliovirus | 0.382679 |
| vaccination campaign planning | 0.367209 |
| CDC’s Emergency | 0.382967 |
| United Nations Children | 0.362918 |
| AFP cases | 0.356581 |
| polio eradication activities | 0.638148 |
| final push | 0.364252 |
| CDC Director Thomas | 0.413947 |
| Melinda Gates Foundation | 0.361083 |
| CDC resources | 0.376756 |
| polio worldwide | 0.492626 |
| Independent Monitoring Board | 0.358159 |
| EOC operational structure | 0.390495 |
| polio vaccination campaigns | 0.563425 |
| CDC’s engagement | 0.372688 |
|
| global polio surveillance | 0.510739 |
| entire CDC community | 0.405127 |
| Polio Eradication Initiative | 0.602449 |
| World Health Organization | 0.420164 |
| outbreak response protocols | 0.357148 |
| timely technical expertise | 0.36213 |
| polio eradication progress | 0.5644 |
| polio cases | 0.517365 |
| in-country technical expertise | 0.36153 |
| Democratic Republic | 0.36119 |
| CDC’s EOC | 0.404168 |
| polio vaccination campaign | 0.511174 |
| countries | 0.368587 |
| CDC’s polio | 0.530042 |
| Epidemiologic Record/CDC Morbidity | 0.359924 |
| enhanced capacity | 0.362434 |
| CDC polio eradication | 0.677198 |
| polio surveillance | 0.555561 |
| technical expertise | 0.365339 |
| finish line | 0.36041 |
| Dr. Frieden | 0.37229 |
| endemic countries | 0.362548 |
| polio eradication efforts | 0.628378 |
|
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| 11037 |
Centers for Disease Control and Prevention |
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Opioid Painkiller Prescribing | Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| mental health | 0.476174 |
| state-run health plans | 0.54265 |
| prescription painkiller | 0.831521 |
| opioid painkiller prescriptions | 0.678447 |
| prescription drugs | 0.653894 |
| pain treatment | 0.688025 |
| overdose deaths | 0.498888 |
| health care providers | 0.989625 |
| prescription painkillers* | 0.597072 |
| patient safety | 0.471724 |
| American adult | 0.483239 |
| compensation programs | 0.474156 |
| different parts | 0.473642 |
| patients | 0.505798 |
| prescribe large quantities | 0.541866 |
| Affordable Care Act | 0.529142 |
| pill mills | 0.472235 |
| prescription drug monitoring | 0.870615 |
| policy options | 0.535243 |
| particular promise | 0.474984 |
| person | 0.477787 |
| substance abuse treatment | 0.637436 |
| care providers practice | 0.552172 |
| state level | 0.473129 |
| specific type | 0.473988 |
|
| Vital Signs | 0.583562 |
| inappropriate prescribing | 0.47018 |
| highest-prescribing state | 0.480869 |
| Drug Administration | 0.469526 |
| substance abuse problems | 0.627645 |
| Health issues | 0.488609 |
| West Virginia | 0.474704 |
| effective pain treatment | 0.662247 |
| state-run databases | 0.557705 |
| multiple prescribers | 0.505823 |
| substance abuse | 0.658429 |
| prescription painkiller overdose | 0.72059 |
| Prescription Painkiller Overdoses | 0.742599 |
| high-dose painkillers | 0.589085 |
| pain treatment options | 0.538618 |
| responder access | 0.469607 |
| people | 0.477059 |
| Southern states | 0.473248 |
| prescription painkillers | 0.875826 |
| drug monitoring programs | 0.774749 |
| New Hampshire | 0.474434 |
| Drugs Information | 0.470657 |
| lowest prescribing state | 0.549529 |
| high-volume pain clinics | 0.545217 |
|
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| 11351 |
Centers for Disease Control and Prevention |
Html |
en |
Recommendations for Chemical Protective Clothing: Database - Disclaimer |
null |
| potentially appropriate types | 0.440275 |
| typical laboratory testing | 0.443583 |
| medical surveillance programs | 0.435922 |
| similar glove materials | 0.492645 |
| chemical barrier | 0.442107 |
| appropriate CPC materials | 0.558831 |
| specific potential hazards | 0.48592 |
| skin exposure hazards | 0.470394 |
| kinetic testing data | 0.445427 |
| Occupational Safety | 0.44346 |
| CPC membranes | 0.478997 |
| laboratory testing data | 0.453041 |
| vapor pressures | 0.442781 |
| appropriate glove | 0.441069 |
| hazard assessment | 0.526872 |
| Personal Protective Equipment | 0.464568 |
| skin exposures | 0.45973 |
| laboratory testing conditions | 0.529498 |
| potential hand hazards | 0.461049 |
| chemical protective clothing | 0.947417 |
| available glove materials | 0.519133 |
| glove material type | 0.498982 |
|
| chemicals | 0.449025 |
| CPC breakthrough | 0.485594 |
| Pocket Guide | 0.648954 |
| specific barrier membrane | 0.469222 |
| skin barrier | 0.430225 |
| Protective Clothing database | 0.831082 |
| CPC polymer membrane | 0.533371 |
| Prevent skin contact | 0.471047 |
| broadly applicable phrase | 0.431515 |
| Additional testing results | 0.447439 |
| specific barrier material | 0.481298 |
| CPC materials | 0.584286 |
| NIOSH Pocket Guide | 0.465225 |
| similar chemical properties | 0.456611 |
| organic substances | 0.573561 |
| CPC | 0.697406 |
| specific glove material | 0.618714 |
| skin contact | 0.579937 |
| barrier materials | 0.482633 |
| chemical hazards | 0.516693 |
| laboratory testing | 0.534294 |
| chemical protective barrier | 0.500121 |
|
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| 11737 |
Centers for Disease Control and Prevention |
Html |
en |
Norovirus | Symptoms |
Symptoms of norovirus include diarrhea, throwing up, nausea, stomach pain as well as fever, headache and body aches |
| alcohol | 0.457279 |
| minerals | 0.457361 |
| Sports drinks | 0.742887 |
| common symptoms— | 0.65129 |
| tears | 0.461506 |
| illnesses | 0.451931 |
| stomach | 0.469631 |
| plenty | 0.467322 |
| liquids | 0.468735 |
| counter | 0.457961 |
| people | 0.484985 |
|
| diarrhea many times | 0.679606 |
| doctor | 0.453331 |
| caffeine | 0.475306 |
| mild dehydration | 0.984615 |
| Oral rehydration fluids | 0.847047 |
| inflammation | 0.469608 |
| norovirus illness | 0.639684 |
| older adults | 0.638614 |
| young children | 0.622038 |
| acute gastroenteritis | 0.706118 |
| intestines | 0.48174 |
|
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| 12499 |
Centers for Disease Control and Prevention |
Video |
en |
February 2014 ACIP Meeting -- ACIP Influenza LAIV |
LAIV vs. IIV Comparative Safety Studies in Children, Safety of Live-Attenuated vs. Inactivated Influenza Vaccines for Healthy Children (GRADE), LAIV supply update, and Annual Influenza Recommendations.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod.php?id=cab736ef7bc0790b90b6b9d9b315758920140410081420644 |
| ACIP Influenza LAIV | 0.994044 |
|
|
CLICK HERE |
| 14032 |
Centers for Disease Control and Prevention |
Html |
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Vital Signs: Exposure to Electronic Cigarette AdvertisingAmong Middle School and High School Students - United States,2014 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
| U.S. middle school | 0.445302 |
| TV | 0.323843 |
| sources | 0.414508 |
| advertising exposure | 0.297161 |
| current tobacco products | 0.298638 |
| electronic cigarettes | 0.346041 |
| frequently reported exposure | 0.334821 |
| source | 0.331414 |
| e-cigarette advertising | 0.469337 |
| Retail store exposure | 0.323998 |
| e-cigarette advertising expenditures | 0.303773 |
| youth access | 0.302425 |
| youths | 0.41104 |
| movies | 0.316058 |
| tobacco control programs | 0.426593 |
| middle school | 0.765729 |
| Youth Tobacco Survey | 0.42086 |
| conventional tobacco products | 0.344945 |
| conventional tobacco product | 0.308849 |
| tobacco product advertising | 0.497825 |
| tobacco | 0.539476 |
| magazines | 0.314003 |
| middle school students | 0.669869 |
| comprehensive state tobacco | 0.345711 |
|
| comprehensive tobacco control | 0.294531 |
| tobacco product initiation | 0.309713 |
| e-cigarette advertisements | 0.596327 |
| state tobacco control | 0.346014 |
| youth tobacco prevention | 0.302056 |
| e-cigarette advertisement exposure | 0.409825 |
| tobacco outlet density | 0.294267 |
| high school students | 0.991689 |
| newspapers | 0.320766 |
| e-cigarettes | 0.370392 |
| National Youth Tobacco | 0.422357 |
| youth-oriented e-cigarette marketing | 0.345676 |
| Weighted exposure estimates | 0.341422 |
| U.S. youths | 0.336377 |
| tobacco products | 0.453132 |
| exposure | 0.657359 |
| commonly used tobacco | 0.311523 |
| exposure sources | 0.310583 |
| fund tobacco control | 0.294245 |
| youth exposure | 0.320875 |
| e-cigarette advertising exposures | 0.295401 |
| Internet | 0.331866 |
| high school-aged youths | 0.300043 |
|
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