| 6989 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Zimbabwe |
Resources and links for travelers to Zimbabwe. |
| Harare Hospital OI | 0.696901 |
| Dr. G. Gwinji | 0.651165 |
| endorsement | 0.27088 |
| Ministry | 0.236601 |
| collaborations | 0.261597 |
| Technical Advisor | 0.439598 |
| MoHCW | 0.263834 |
| Liaison Officer | 0.442137 |
| National Infection Prevention | 0.747708 |
| Training | 0.234975 |
| Child Welfare | 0.621699 |
| Control Guidelines | 0.449358 |
| Content source | 0.423142 |
| President | 0.23432 |
| HHS | 0.277614 |
| Professor Val Robinson | 0.645521 |
| Notice | 0.245168 |
|
| technical assistance | 0.468658 |
| physical presence | 0.47094 |
| Infection Control Association | 0.717007 |
| CDC research | 0.534903 |
| Dr Bwakura | 0.430964 |
| Health | 0.258374 |
| staff | 0.24093 |
| right | 0.235613 |
| Zimbabwe Infection Prevention | 0.774905 |
| Gladys Dube | 0.508073 |
| CDC-Zimbabwe Country Director | 0.902953 |
| Clinic | 0.235281 |
| Brigadier General | 0.492759 |
| ICAZ | 0.281628 |
| non-federal site | 0.475419 |
| Dr. Peter Kilmarx | 0.905261 |
| Specialist Physician | 0.430467 |
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Centers for Disease Control and Prevention |
Html |
en |
Mental Retardation - Health Communication |
Mental Retardation - Gateway to Health Communication - CDC |
| metabolic conditions | 0.745812 |
| small head | 0.56567 |
| genetic/chromosomal abnormalities | 0.604677 |
| mental retardation | 0.791962 |
| available test | 0.573369 |
| pregnant women | 0.586156 |
| below-average thinking | 0.598744 |
| different states test | 0.715434 |
| genetic conditions | 0.595565 |
| routine prenatal care | 0.699808 |
| metabolic disorders | 0.595024 |
| chromosomal abnormalities | 0.59613 |
| MR | 0.776817 |
| extreme lack | 0.576216 |
| standardized intelligence test | 0.778015 |
| daily life | 0.604278 |
| inner corners | 0.562895 |
| instances injury | 0.599571 |
| Cri-du-chat Syndrome | 0.608201 |
| flattened face | 0.589254 |
| MR. Fetal Alcohol | 0.712426 |
| limited ability | 0.596332 |
| follow-up amniocentesis | 0.575774 |
| simple blood test | 0.721899 |
| water breaks | 0.568975 |
|
| United States | 0.739577 |
| congenital cytomegalovirus | 0.604227 |
| trimester visit | 0.564336 |
| interpersonal skills | 0.601505 |
| head injury | 0.575569 |
| well-educated woman | 0.58512 |
| different causes | 0.611163 |
| cortical atrophy | 0.597316 |
| special diet | 0.570948 |
| heel prick | 0.592924 |
| nose bridge | 0.567443 |
| hospital social worker | 0.699078 |
| Fetal Alcohol Syndrome | 0.930109 |
| Fragile X Syndrome | 0.611871 |
| older child | 0.585861 |
| slanted eyes | 0.57197 |
| birth defects | 0.588863 |
| congenital hypothyroidism | 0.584591 |
| different conditions | 0.58039 |
| reasoning skills | 0.597984 |
| alpha-fetoprotein level | 0.564755 |
| epicanthal folds | 0.571019 |
| common causes | 0.593093 |
| baby | 0.559282 |
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| 8423 |
Centers for Disease Control and Prevention |
Html |
en |
Stay Connected - Tips from Former Smokers - Smoking & Tobacco Use |
Stay connected with the Tips from Former Smokers campaign through social media, including Facebook, YouTube, Twitter, and Pinterest. Includes the latest on live chats with Tips participants and experts on smoking-related topics. |
| compelling stories | 0.553098 |
| latest smoking | 0.778734 |
| watch videos | 0.533948 |
| interactive ways | 0.47821 |
| tobacco-related information | 0.640968 |
| share facts | 0.511079 |
| quit event | 0.870456 |
| Twitter | 0.217282 |
| Smokers® campaign | 0.527071 |
|
| tips | 0.270071 |
| YouTube | 0.209934 |
| daily inspirational posts | 0.914109 |
| Smokers ad participants | 0.87865 |
| quit journey | 0.859514 |
| exclusive content | 0.501137 |
| pin images | 0.553531 |
| inspirational posts | 0.968351 |
| CDC Tobacco Free | 0.963384 |
|
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| 8502 |
Centers for Disease Control and Prevention |
Html |
en |
Michael's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
The story of Michael, a former smoker with COPD, who is featured in CDC's Tips from Former Smokers campaign. |
| adult life | 0.745316 |
| grandchildren | 0.34255 |
| death | 0.306646 |
| lung transplant | 0.713534 |
| Tlingit | 0.356833 |
| emphysema—that | 0.296041 |
| air | 0.297291 |
| flu | 0.314261 |
| Michael—a veteran | 0.771523 |
| lung damage | 0.687269 |
| COPD—a condition | 0.678703 |
| symptoms | 0.297779 |
|
| smoker | 0.344916 |
| Alaska Native | 0.971715 |
| doctors | 0.291666 |
| smoking | 0.81778 |
| constant fear | 0.674288 |
| member | 0.305933 |
| lungs | 0.330661 |
| chronic bronchitis | 0.756144 |
| cigarettes | 0.32633 |
| time | 0.293297 |
| U.S. Army | 0.742394 |
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| 8677 |
Centers for Disease Control and Prevention |
Html |
en |
Diagnostics for detecting H7N9 using rRT-PCR |
Diagnostics for Detecting influenza A H7N9 Using rRT-PCR - CDC |
| diagnostic test kits | 0.44174 |
| preferred method | 0.373317 |
| technical support resources | 0.431547 |
| rRT-PCR reagents | 0.419876 |
| CLSIS website | 0.3864 |
| Human Influenza Virus | 0.636401 |
| influenza surveillance testing | 0.491377 |
| suspect specimens | 0.379915 |
| distribution process | 0.374342 |
| United States | 0.371775 |
| preparedness measure | 0.369081 |
| primer sequences | 0.373738 |
| Lineage) Assay. | 0.444971 |
| future updates | 0.370732 |
| CDC H7N9 RT-PCR | 0.555345 |
| National Influenza Centers | 0.510182 |
| Eurasian Lineage | 0.45586 |
| Sharepoint website | 0.388221 |
| Influenza Reagent Repository | 0.532537 |
| EUA | 0.414441 |
| Influenza Virus Real-Time | 0.636325 |
| U.S. public health | 0.464254 |
| new avian influenza | 0.536415 |
| CDC H7N9 reagents | 0.667068 |
|
| Diagnostic Panel-Influenza A/H7 | 0.570675 |
| national public health | 0.538001 |
| Flu rRT-PCR Dx | 0.444893 |
| influenza testing protocols | 0.50033 |
| epidemiologic criteria | 0.38111 |
| Virus Real-Time RT-PCR | 0.595959 |
| public health emergency | 0.452857 |
| H7 molecular assays | 0.438547 |
| CLSIS Sharepoint site | 0.442606 |
| positive control | 0.45203 |
| RT-PCR Diagnostic Panel-Influenza | 0.593218 |
| IRR web page | 0.463502 |
| CDC’s Laboratory | 0.437852 |
| H7N9 rRT-PCR test | 0.444634 |
| International public health | 0.4623 |
| FDA website | 0.445657 |
| Real-Time RT-PCR Diagnostic | 0.593285 |
| SEARO countries | 0.376187 |
| rRT-PCR test protocol | 0.570805 |
| public health laboratories | 0.910765 |
| diagnostic test materials | 0.473399 |
| information | 0.336022 |
| public health entities | 0.462122 |
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| 9487 |
Centers for Disease Control and Prevention |
Html |
en |
Outbreak of Shiga Toxin–Producing Escherichia coli O111Infections Associated with a Correctional Facility Dairy —Colorado, 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. |
| fecally contaminated items | 0.546322 |
| correctional settings | 0.54664 |
| effective infection control | 0.551669 |
| transmission pathways | 0.546063 |
| diarrheal illness | 0.575413 |
| Escherichia coli O111 | 0.553056 |
| correctional facility health | 0.591651 |
| hygiene practices | 0.548616 |
| correctional facilities | 0.637494 |
| state-run correctional facilities | 0.575773 |
| STEC O111 infection | 0.768791 |
| main correctional facility | 0.587004 |
| Colorado correctional facilities | 0.575793 |
| laboratory-confirmed STEC O111 | 0.7768 |
| STEC exposure | 0.613467 |
| non-O157 STEC infections | 0.628244 |
| public health officials | 0.5712 |
| Illness onset dates | 0.570455 |
| animal-to-human STEC O111 | 0.65207 |
| contaminated dairy clothing | 0.563081 |
| Plains Intermountain Center | 0.597303 |
| Agricultural Research Service | 0.561489 |
| infection control | 0.600775 |
| main facility | 0.562676 |
| public health recommendations | 0.545309 |
|
| STEC O111 infections | 0.645863 |
| Agricultural Health | 0.558501 |
| STEC infection | 0.672384 |
| correctional facility dairy | 0.613573 |
| inmates | 0.612302 |
| onsite dairy | 0.57852 |
| additional inmates | 0.558376 |
| STEC O157 infections | 0.628214 |
| minimum-security correctional facility | 0.58682 |
| public health | 0.636682 |
| infection control practices | 0.569052 |
| STEC O111 test | 0.653839 |
| STEC O111 transmission | 0.71612 |
| Research Service Laboratory | 0.561486 |
| standard food-service protocols | 0.560526 |
| dairy environmental surfaces | 0.549561 |
| correctional authorities | 0.565199 |
| High Plains Intermountain | 0.598148 |
| correctional facility environment | 0.57653 |
| correctional facility | 0.820639 |
| STEC O111 outbreaks | 0.639352 |
| prevalence study | 0.570947 |
| public health laboratory | 0.55058 |
| STEC O111 | 0.974898 |
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| 9712 |
Centers for Disease Control and Prevention |
Html |
es |
La historia de Michael - Historias de la vida real - Consejos de exfumadores |
La historia de Miguel, un ex fumador con EPOC, es parte de la campaña Consejos de exfumadores de los CDC. |
| recuerda michael | 0.647187 |
| Archivo Apple Quicktime | 0.728623 |
| Archivo RealPlayer | 0.627702 |
| Archivo Zip Comprimido | 0.722406 |
| Archivo Microsoft PowerPoint | 0.750584 |
|
| Archivo Microsoft Excel | 0.735842 |
| Archivo Adobe PDF | 0.717491 |
| tribu tlingit | 0.602961 |
| Archivo Microsoft | 0.930019 |
| Archivo Microsoft Word | 0.745659 |
|
CLICK HERE |
| 14454 |
Centers for Disease Control and Prevention |
Html |
en |
Who Would Pay for State Alcohol Tax Increases in the United States? |
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. |
| capita alcohol consumption | 0.30075 |
| alcohol tax increase | 0.296011 |
| binge drinkers | 0.229577 |
| net cost | 0.29351 |
| binge drinking | 0.365435 |
| hypothetical tax increases | 0.333861 |
| tax increases | 0.788391 |
| alcohol prices | 0.237541 |
| hypothetical tax increase | 0.31302 |
| Alcohol Abuse | 0.225825 |
| higher alcohol taxes | 0.283553 |
| alcohol taxes | 0.45171 |
| alcohol | 0.791816 |
| aggregate costs | 0.290183 |
| adult excessive drinkers | 0.290387 |
| state alcohol tax | 0.464782 |
| BRFSS core alcohol | 0.230523 |
| heavy drinker | 0.254124 |
| daily average | 0.255015 |
| alcohol tax increases | 0.746898 |
| state alcohol taxes | 0.34449 |
| sociodemographic characteristics | 0.234235 |
| alcohol policy interventions | 0.233863 |
| capita costs | 0.345711 |
|
| State-specific tax increases | 0.249169 |
| United States | 0.387976 |
| drinks | 0.467223 |
| current alcohol taxes | 0.253209 |
| average annual increase | 0.230942 |
| non-Hispanic white drinkers | 0.274355 |
| alcohol consumption | 0.607549 |
| Average daily alcohol | 0.264005 |
| Alcohol Epidemiologic Data | 0.232708 |
| excessive drinkers | 0.841684 |
| Excessive alcohol consumption | 0.347454 |
| excessive drinking | 0.243269 |
| hypothetical state alcohol | 0.373777 |
| non-Hispanic whites | 0.284088 |
| public health | 0.250963 |
| nonexcessive drinkers | 0.909314 |
| costs | 0.35543 |
| Alcohol Policy Information | 0.282279 |
| value-based alcohol taxes | 0.253549 |
| annual alcohol consumption | 0.244944 |
| hypothetical alcohol tax | 0.299364 |
| evidence-based public health | 0.239268 |
| alcohol spectrum disorders | 0.239775 |
| current drinkers | 0.239986 |
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Centers for Disease Control and Prevention |
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National Influenza Vaccination Week: Media Toolkit |
Toolkit can be used by health professionals and partners for planning NIVW - CDC |
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CLICK HERE |
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Centers for Disease Control and Prevention |
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en |
County-Level Variation in Per Capita Spending for Multiple Chronic Conditions Among Fee-for-Service Medicare Beneficiaries, United States, 2014 |
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. |
| concurrent chronic conditions | 0.437444 |
| ischemic heart disease | 0.39721 |
| multiple chronic conditions | 0.430693 |
| Light blue areas | 0.379481 |
| Disease Control | 0.400707 |
| chronic disease management | 0.417253 |
| neighboring counties | 0.388441 |
| beneficiaries | 0.657493 |
| MCC6+ beneficiaries | 0.652642 |
| aggregate spending | 0.538921 |
| total Medicare payments | 0.478115 |
| Medicare payments | 0.501589 |
| standardized payments | 0.379638 |
| total Medicare spending | 0.660128 |
| prevalent chronic conditions | 0.411123 |
| chronic disease costs | 0.444789 |
| high spending levels | 0.555782 |
| Medicare Advantage | 0.438149 |
| chronic disease | 0.528711 |
| Medicare fee-for-service beneficiaries | 0.618706 |
| counties | 0.487204 |
| low spending levels | 0.554266 |
| chronic disease prevention | 0.499441 |
| disease prevention programs | 0.409795 |
| obstructive pulmonary disease | 0.395215 |
|
| Light red areas | 0.379759 |
| chronic kidney disease | 0.434129 |
| public health policy | 0.375125 |
| United States | 0.490838 |
| Chronic diseases | 0.391554 |
| geographic variation | 0.389788 |
| disease management efforts | 0.395965 |
| continental United States | 0.444515 |
| Medicaid Services | 0.415505 |
| nonsuppressed counties | 0.393253 |
| low spending | 0.597842 |
| chronic disease care | 0.418096 |
| capita Medicare spending | 0.99747 |
| Medicare beneficiaries | 0.60707 |
| Mean county spending | 0.549365 |
| local Moran | 0.390853 |
| shows geographic variation | 0.382407 |
| Dark blue areas | 0.380043 |
| largest geographic concentrations | 0.377887 |
| capita spending | 0.66066 |
| chronic conditions | 0.597652 |
| capita spending value | 0.613385 |
| high spending | 0.651538 |
| Dark red areas | 0.380334 |
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