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National Native HIV/AIDS Awareness Day | CDC Features |
March 20, 2015, is National Native HIV/AIDS Awareness Day . This day is an opportunity for Native people across the United States to learn about HIV and AIDS, encourage HIV counseling and testing in Native communities, and help decrease the stigma associated with HIV/AIDS. |
| Native HIV/AIDS Awareness | 0.982274 |
| high rates | 0.256397 |
| national observance | 0.279824 |
| United States | 0.423867 |
| cultural diversity | 0.251913 |
| date cards | 0.249361 |
| fact sheets | 0.249272 |
| HIV prevention | 0.985081 |
| AI/AN men | 0.268733 |
| gay relationships | 0.258797 |
| drug abuse | 0.25625 |
| new HIV diagnoses | 0.685655 |
| HIV diagnoses | 0.861602 |
| state health departments | 0.398919 |
| NNHAAD tool kit | 0.372328 |
| social media | 0.25157 |
| Native communities | 0.5028 |
| Native populations | 0.417446 |
| Native people | 0.308092 |
| territorial areas | 0.266641 |
| Spring Equinox | 0.457952 |
| Home testing kits | 0.37734 |
|
| local IHS Tribal | 0.370868 |
| Alaska Natives | 0.783586 |
| National Native HIV/AIDS | 0.710713 |
| Native Hawaiians | 0.582302 |
| HIV test | 0.512711 |
| testing site | 0.256841 |
| ZIP code | 0.240973 |
| bisexual men | 0.559027 |
| medical care | 0.39119 |
| Indian Health Service | 0.362536 |
| American Indians | 0.744778 |
| testing location | 0.254283 |
| Urban facility | 0.24526 |
| national community mobilization | 0.412155 |
| public service announcements | 0.370495 |
| HIV | 0.989614 |
| Native organizations | 0.303231 |
| mental health care | 0.387867 |
| new beginnings | 0.28332 |
| HIV testing | 0.699376 |
| CDC HIV/AIDS website | 0.445806 |
|
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MMWR - Differences by Sex in Tobacco Use and Awareness of Tobacco Marketing - Smoking & Tobacco Use |
CDC's Office on Smoking and Health offers information related to smoking and tobacco use. |
| smoking cessation attempts | 0.574486 |
| excise tax rates | 0.56342 |
| Adult Tobacco Surveys | 0.682198 |
| current smokers | 0.625326 |
| GATS response rate | 0.613187 |
| Framework Convention | 0.482273 |
| cigarette excise taxes | 0.604298 |
| tobacco | 0.991589 |
| representative household survey | 0.573278 |
| large difference | 0.482674 |
| indirect advertising | 0.480725 |
| World Health Organization | 0.547236 |
| MPOWER package | 0.485173 |
| countries | 0.536278 |
| tobacco industry | 0.586599 |
| tobacco products | 0.586144 |
| cigarette marketing | 0.903036 |
| statistically significant difference | 0.557729 |
| women | 0.854053 |
| smoking prevalence | 0.484569 |
| current tobacco | 0.602973 |
| young adult women | 0.566545 |
| complex interaction | 0.488683 |
| U.S. government | 0.489046 |
| Thailand | 0.598729 |
|
| tobacco advertising | 0.580812 |
| South Carolina | 0.486014 |
| gender differences | 0.485098 |
| subnational estimates | 0.499644 |
| tobacco marketing | 0.745844 |
| men | 0.672114 |
| Adult Tobacco Survey | 0.707132 |
| gender-specific pattern | 0.491051 |
| sample respondent | 0.485995 |
| Rhode Island | 0.482822 |
| social factors | 0.488419 |
| Uruguay | 0.63873 |
| Tobacco use differences | 0.602307 |
| nationally representative data | 0.569154 |
| Global Adult Tobacco | 0.847456 |
| sample design | 0.49851 |
| Tobacco Control | 0.584817 |
| older women | 0.50916 |
| data collection | 0.498978 |
| management protocols | 0.498496 |
| smokeless tobacco | 0.937641 |
| Bangladesh | 0.65118 |
| continued implementation | 0.481519 |
| average excise tax | 0.560255 |
|
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National Capacity for Surveillance, Prevention, and Controlof West Nile Virus and Other Arbovirus Infections - United States,2004 and 2012 |
James L. Hadler, MD1, Dhara Patel, MPH2, Kristy Bradley, DVM3, James M. Hughes, MD4, Carina Blackmore, DVM5, Paul Etkind, DrPH6, Lilly Kan, MPH6, Jane Getchell, DrPH7, James Blumenstock, MA8, Jeffrey Engel, MD2 (Author affiliations at end of text). |
| environmental surveillance | 0.632701 |
| Los Angeles County | 0.517851 |
| mosquito-borne virus surveillance | 0.590502 |
| current CDC guidance | 0.51559 |
| cooperative agreement funding | 0.511231 |
| arbovirus surveillance functions | 0.575188 |
| assessment | 0.534415 |
| arbovirus surveillance | 0.637264 |
| current arboviral threats | 0.58941 |
| arboviruses | 0.653869 |
| virus surveillance capacity | 0.600096 |
| standard case report | 0.512811 |
| mosquito surveillance systems | 0.665005 |
| jurisdictions | 0.566772 |
| arboviral disease case | 0.594479 |
| laboratory capacity | 0.663129 |
| recent CSTE assessment | 0.52797 |
| WNV surveillance | 0.825623 |
| mosquito-borne arboviral disease | 0.602802 |
| Mosquito surveillance capacity | 0.78616 |
| adult mosquitoes | 0.566212 |
| national surveillance platform | 0.57469 |
| laboratory surveillance capacity | 0.685941 |
| public health laboratories | 0.549957 |
| national arboviral surveillance | 0.796318 |
|
| United States | 0.600691 |
| avian mortality surveillance | 0.700449 |
| mosquito/environmental surveillance | 0.524203 |
| local health department | 0.532756 |
| arboviral activity | 0.639942 |
| adult mosquito surveillance | 0.66282 |
| additional mosquito surveillance | 0.649866 |
| city/county health departments | 0.647254 |
| health departments | 0.739603 |
| surveillance | 0.967029 |
| local health departments | 0.61328 |
| WNV | 0.861473 |
| local arboviral surveillance | 0.668523 |
| mosquito surveillance | 0.842938 |
| New York | 0.583105 |
| arboviral surveillance infrastructure | 0.792997 |
| arboviral disease | 0.627725 |
| dead bird surveillance | 0.669687 |
| active human surveillance | 0.630529 |
| mosquito pools | 0.525001 |
| West Nile virus | 0.77847 |
| arboviral surveillance capacity | 0.68102 |
| ELC funding | 0.727907 |
| current surveillance systems | 0.79938 |
|
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Chlorine - 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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Unintentional Drowning: Get the Facts |
null |
| three-sided property-line fencing.12 | 0.605627 |
| Injury Prevention | 0.801581 |
| swimming ability | 0.778197 |
| Product Safety Commission | 0.66366 |
| United States | 0.72293 |
| natural water settings | 0.693957 |
| children 5-19 drown | 0.6841 |
| African Americans | 0.604755 |
| children ages | 0.607222 |
| home swimming | 0.658003 |
| seizure disorders | 0.644959 |
| self-reported swimming ability | 0.728577 |
| childhood drowning | 0.718997 |
| S. Consumer Product | 0.66385 |
| unintentional injuries | 0.663367 |
| nonfatal drowning injuries | 0.840657 |
| children | 0.794212 |
| case-control study | 0.604206 |
| unsupervised water access | 0.64254 |
| water-related recreational activities | 0.619452 |
| swimming pools.2 Drowning | 0.884974 |
| young children | 0.697305 |
| formal swimming lessons | 0.910125 |
| recreational water illnesses | 0.624686 |
|
| four-sided pool fence | 0.622526 |
| Web-based Injury Statistics | 0.612106 |
| Seizure Disorder Safety | 0.616071 |
| National Center | 0.60415 |
| basic swimming skills | 0.654217 |
| life jackets | 0.912487 |
| unintentional injury death | 0.78905 |
| Consumer Product Safety | 0.663669 |
| fatal unintentional drownings | 0.710344 |
| unintentional injury-related death | 0.685837 |
| nonfatal submersion injuries | 0.625559 |
| wear life jackets | 0.717882 |
| unintentional drowning rate | 0.890953 |
| pool area | 0.749145 |
| emergency department care | 0.620585 |
| highest drowning rates | 0.837338 |
| shallow water blackout | 0.621445 |
| fatal unintentional drowning | 0.967152 |
| U. S. Consumer | 0.663859 |
| severe brain damage | 0.607158 |
| pool fencing | 0.658925 |
| motor vehicle crashes | 0.611631 |
| permanent vegetative state | 0.614223 |
|
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Preventing Chronic Disease | Giant Inflatable Colon and Community Knowledge, Intention, and Social Support for Colorectal Cancer Screening - CDC |
Colorectal cancer (CRC) is the second-leading cause of deaths from cancer in the United States. Screening decreases CRC deaths through early cancer detection and through removal of precancerous lesions. |
| potential colon displays | 0.463116 |
| colon cancer screenings | 0.512132 |
| giant inflatable colon | 0.585964 |
| CRC stages | 0.468992 |
| alaska native people | 0.773316 |
| CRC knowledge | 0.551432 |
| giant colon exhibits | 0.4607 |
| Alaska community members | 0.463274 |
| Alaska Native | 0.835412 |
| screening method | 0.46911 |
| interactive colon exhibits | 0.484042 |
| Alaska Tribal Health | 0.515434 |
| colorectal cancer screening | 0.579663 |
| nylon colon model | 0.489328 |
| Cancer Super Colon | 0.51755 |
| social support | 0.609301 |
| colorectal cancer | 0.607456 |
| CRC screening | 0.959501 |
| community events | 0.464513 |
| Health Interview Survey | 0.462518 |
| Alaska Native community | 0.468626 |
| colon model | 0.794332 |
| specific screening method | 0.460382 |
| Cancer Control Program | 0.457245 |
|
| human colon | 0.513328 |
| adult community members | 0.49234 |
| statewide CRC Partnership | 0.478916 |
| CRC prevention tips | 0.520678 |
| community members | 0.782222 |
| cancer screening | 0.671574 |
| Alaska Comprehensive Cancer | 0.469554 |
| Alaska Native Tribal | 0.664603 |
| Native/American Indian/Aboriginal Canadian | 0.516088 |
| Alaska Native population | 0.473903 |
| comprehensive cancer control | 0.506345 |
| CRC screening knowledge | 0.677941 |
| available screening methods | 0.467479 |
| CRC prevention | 0.543565 |
| Colon Cancer Alliance | 0.500946 |
| interactive colon model | 0.545022 |
| CRC screening rates | 0.650429 |
| CRC knowledge questions | 0.504163 |
| cancer screening utilization | 0.48903 |
| Native Tribal Health | 0.656334 |
| Alaska Native/American Indian/Aboriginal | 0.542564 |
| age-adjusted CRC incidence | 0.499893 |
| decreases CRC deaths | 0.505516 |
| Tribal Health Consortium | 0.65147 |
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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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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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Work-Related Asthma Cluster at a Syntactic FoamManufacturing Facility - Massachusetts 2008-2013 |
Megan Casey, MPH1,2, Marcia L. Stanton2, Kristin J. Cummings, MD2, Elise Pechter, MPH3, Kathleen Fitzsimmons, MPH3, Ryan F. |
| work-related respiratory symptoms | 0.533573 |
| gas industry | 0.481318 |
| adult-onset asthma | 0.676959 |
| emergency department visits | 0.476104 |
| work-related pattern | 0.476519 |
| offshore oil | 0.477639 |
| Ryan F. LeBouf | 0.476784 |
| self-reported health concerns | 0.478521 |
| CDC investigators | 0.49211 |
| CDC health hazard | 0.577843 |
| additional asthma cases | 0.556575 |
| acute asthma exacerbations | 0.568932 |
| asthma inhaler | 0.540035 |
| state-based surveillance | 0.523258 |
| 3Occupational Health Surveillance | 0.482041 |
| Asthma incidence density | 0.606348 |
| emergency department | 0.506929 |
| Massachusetts Department | 0.58701 |
| adult-onset asthma cases | 0.611614 |
| work-related asthma cases | 0.600306 |
| epoxy resins | 0.508273 |
| Christine R. Schuler | 0.477229 |
| existing asthma | 0.525119 |
| Kristin J. Cummings | 0.476755 |
|
| work-related asthma | 0.908318 |
| asthma-like symptoms | 0.602933 |
| Occupational Safety | 0.481324 |
| respiratory symptoms | 0.545597 |
| health hazard evaluation | 0.553934 |
| self-reported adult-onset asthma | 0.582624 |
| Adult-onset asthma incidence | 0.577608 |
| Respiratory Disease Studies | 0.519893 |
| workers | 0.495457 |
| public health | 0.62777 |
| National Institute | 0.487306 |
| undiagnosed asthma | 0.525183 |
| respiratory protection program | 0.517568 |
| public health investigation | 0.480248 |
| median work tenure | 0.480087 |
| additional asthma-like symptoms | 0.481377 |
| Health Surveillance Program | 0.519148 |
| Marcia L. Stanton | 0.476567 |
| work-related symptoms | 0.504926 |
| Occupational Health Surveillance | 0.485891 |
| asthma symptoms | 0.542964 |
| asthma talk | 0.526975 |
| current employees | 0.514096 |
| syntactic foam | 0.524826 |
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Get Vaccinated for Seasonal Influenza |
The flu is a contagious respiratory disease that can cause mild to severe illness, and can even lead to death - CDC |
| LAIV | 0.225051 |
| Vaccinated | 0.270918 |
| CDC | 0.259318 |
| doses | 0.257765 |
| chronic health conditions | 0.442239 |
| age-appropriate influenza vaccine | 0.638695 |
| health care provider | 0.429742 |
| flu vaccine | 0.95234 |
| vaccination process | 0.410032 |
| body | 0.224401 |
| visits | 0.225305 |
| Different flu vaccines | 0.662939 |
| pregnant women | 0.342248 |
| flu shots | 0.660258 |
| Flu vaccination | 0.650092 |
| school | 0.226681 |
| Developing Flu-Related Complications | 0.513188 |
| prevent flu-related hospitalizations | 0.499879 |
| antibodies | 0.225309 |
| important benefits | 0.341422 |
| spray flu vaccine | 0.772659 |
| influenza vaccine | 0.846866 |
|
| medical setting | 0.329775 |
| relevant allergies | 0.363998 |
| suitability | 0.230245 |
| work | 0.226694 |
| recombinant influenza vaccine | 0.65668 |
| list | 0.228575 |
| community | 0.225669 |
| people | 0.508038 |
| flu | 0.971509 |
| particular vaccine | 0.478541 |
| different groups | 0.338778 |
| person | 0.247351 |
| high risk | 0.496023 |
| IIV | 0.225324 |
| egg allergies | 0.544966 |
| flu season | 0.509341 |
| information | 0.225671 |
| flu illnesses | 0.551943 |
| health factors | 0.343145 |
| severe egg allergies | 0.460076 |
| RIV | 0.237779 |
|
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