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Centers for Disease Control and Prevention |
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Smoke-Free Policies Reduce Smoking - Smoking & Tobacco Use |
Secondhand Smoke Fact Sheets. |
| Tobacco Smoke | 0.280923 |
| Task Force | 0.33591 |
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| U.S. Department | 0.32231 |
| sufficient evidence | 0.243756 |
| successful cessation | 0.227893 |
| Health Promotion | 0.225441 |
| tobacco use prevalence | 0.343788 |
| Priva Kalra | 0.22559 |
| tobacco | 0.451188 |
| tobacco users | 0.317834 |
| Legislative Smoking Bans | 0.473573 |
| Reduce Tobacco | 0.294822 |
| general population1-6 | 0.235305 |
| weak smoking restrictions | 0.504949 |
| U.S. Surgeon General | 0.346928 |
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| Smoke-Free Policies | 0.353491 |
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| American Journal | 0.311825 |
|
| highest level | 0.314219 |
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| total tobacco consumption | 0.397713 |
| Local Restaurant Smoking | 0.476931 |
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| covered workers. | 0.225948 |
| Smoke-Free Workplaces | 0.265506 |
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| strong evidence | 0.33766 |
| workplace smoking restrictions | 0.554914 |
| smoking initiation | 0.530929 |
| active smoking | 0.414745 |
| Tobacco Control | 0.277712 |
| systematic review | 0.44634 |
| Cochrane review | 0.230922 |
| Chronic Disease Prevention | 0.304497 |
| Callinan JE | 0.225823 |
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Centers for Disease Control and Prevention |
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Diseases & Conditions A-Z Index - C |
CDC Diseases and Conditions A-Z Index |
| Error processing SSI | 0.819607 |
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| Cryptosporidium Infection | 0.757916 |
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| Clostridium botulinum Infection | 0.823123 |
| Corynebacterium diphtheriae Infection | 0.782636 |
| Search Form Controls | 0.691467 |
| (Kidney Disease) | 0.615031 |
| [Oropharyngeal Candidiasis] | 0.592082 |
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| Clostridium difficile Infection | 0.973949 |
| Clonorchis Infection | 0.771531 |
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| Chronic Disease Indicators | 0.75165 |
| Nairovirus Infection | 0.721145 |
| A-Z Index | 0.851848 |
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| C. neoformans | 0.607796 |
|
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| Vibrio cholerae Infection | 0.798881 |
| Cyclospora Infection | 0.759917 |
| Chronic Disease Prevention | 0.655328 |
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| Congenital Heart Defects | 0.619192 |
| Colon) Cancer | 0.604381 |
| Chapare Hemorrhagic Fever | 0.697069 |
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| pneumoniae Infection | 0.74494 |
| Colorectal Cancer Control | 0.602481 |
| [Varicella Disease] | 0.60722 |
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| 5477 |
Centers for Disease Control and Prevention |
Html |
en |
Hydroquinone - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
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| DOC | 0.368812 |
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| page | 0.276773 |
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| 5878 |
Centers for Disease Control and Prevention |
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Methyl (n-amyl) ketone - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
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| 6985 |
Centers for Disease Control and Prevention |
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Global Health - Swaziland |
The Center for Global Health and Prevention (CDC) began supporting Swaziland in 2004 and opened a field office there in 2007. With 26 percent of adults in the 15-49 age group HIV positive, Swaziland has the world’s highest estimated prevalence rate of HIV-infected adults. |
| at-risk populations | 0.565992 |
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|
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| people | 0.260524 |
| TB patients | 0.646361 |
| persons | 0.255193 |
| non-federal site | 0.578399 |
| partners | 0.257725 |
| Swaziland | 0.624814 |
| sustained response | 0.582597 |
| TB incidence rate | 0.997683 |
| employees | 0.254007 |
| Sheet | 0.256411 |
| Antiretroviral treatment | 0.578932 |
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| 7478 |
Centers for Disease Control and Prevention |
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Veterans Health Activities - Gulf War Studies - Web Based Central Library Medsearch |
CDC's National Center for Environmental Health (NCEH) has taken the lead for HHS in addressing the health concerns of veterans of the Vietnam War and the Gulf War, and NCEH is working with the Departments of Defense and Veterans Affairs to protect the health of our future military forces. |
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| navigation Skip | 0.683943 |
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| War-related medical research | 0.708981 |
| Gulf War veterans | 0.808113 |
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| Veterans Affairs | 0.556748 |
| Health Support Directorate | 0.714069 |
| centralized Internet site | 0.696801 |
| Internet site developers | 0.632976 |
| government agencies | 0.413128 |
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| 7633 |
Centers for Disease Control and Prevention |
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en |
Preventing Chronic Disease | Missed Opportunities for Providing Low-Fat Dietary Advice to People With Diabetes - CDC |
Because cardiovascular disease is closely linked to diabetes, national guidelines recommend low-fat dietary advice for patients who have cardiovascular disease or are at risk for diabetes. |
| Medical Expenditure Panel | 0.315047 |
| diabetes management goals | 0.303425 |
| dietary messages | 0.254658 |
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| health insurance | 0.257693 |
| diabetes mellitus | 0.289245 |
| low-fat dairy products | 0.274138 |
| cardiovascular risk factors | 0.26399 |
| Brief dietary counseling | 0.269403 |
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| low-fat dietary counseling | 0.319793 |
| diabetes type | 0.30749 |
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| dietary fat | 0.264132 |
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| total number | 0.267718 |
| single risk factors | 0.295194 |
| ADA-certified diabetes education | 0.303274 |
| vs low-fat diets | 0.270822 |
| ADA-designated risk factors | 0.301732 |
| Expenditure Panel Survey | 0.315073 |
| cardiometabolic multimorbidity | 0.256356 |
|
| risk factors | 0.758146 |
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| Diabetes Care | 0.30721 |
| disease risk factors | 0.265715 |
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| provider-delivered dietary advice | 0.285208 |
| guideline-adherent dietary advice | 0.285033 |
| chronic conditions | 0.261177 |
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| respondents | 0.31573 |
| clinical comorbidity index | 0.303469 |
| MEPS respondents | 0.264733 |
| et al | 0.2855 |
| primary care | 0.275748 |
| formal dietary counseling | 0.266196 |
| diabetes risk factors | 0.413795 |
| American Diabetes Association | 0.382405 |
| coronary heart disease | 0.260095 |
| federal poverty index | 0.300522 |
| diabetes | 0.567195 |
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The Center to Protect Workers' Rights: Electronic Library of Construction Safety and Health (eLCOSH) |
null |
| Georgia Ave | 0.515493 |
| Building | 0.255185 |
| construction workers | 0.566535 |
| Construction Trades Department | 0.812016 |
| U.S. Centers | 0.533302 |
| related Web sites | 0.768046 |
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| AFL-CIO | 0.291109 |
| affiliate unions | 0.533494 |
| Training | 0.30555 |
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| Postings | 0.259314 |
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| Disease Control | 0.532723 |
| E-mail | 0.252981 |
| CPWR | 0.287148 |
| Development | 0.257074 |
| Spanish | 0.254763 |
|
| National Institute | 0.535814 |
| eLCOSH | 0.924156 |
| item | 0.260873 |
| goal | 0.26102 |
| languages | 0.254634 |
| construction safety | 0.946573 |
| health | 0.485206 |
| rare exceptions | 0.544081 |
| English | 0.254828 |
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| research arm | 0.524927 |
| Electronic Library | 0.570251 |
| materials | 0.317586 |
| information | 0.313847 |
| Silver Spring | 0.4953 |
| grant | 0.255727 |
| Fax | 0.255342 |
| items | 0.252894 |
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Zika Virus Infection Among U.S. Pregnant Travelers - August2015-February 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| CDC | 0.333925 |
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| human disease cases | 0.231224 |
| Zika virus | 0.983428 |
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| pregnant women | 0.616879 |
| pregnant woman | 0.278331 |
| CDC website | 0.241555 |
| Zoonotic Infectious Diseases | 0.257612 |
| CDC interim guidelines | 0.247892 |
| health care providers | 0.345756 |
| National Center | 0.255502 |
| Zika virus exposure | 0.325165 |
| U.S. health care | 0.252582 |
| elective pregnancy terminations | 0.236865 |
| ongoing Zika virus | 0.317713 |
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|
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| trimester pregnancy loss | 0.235127 |
| U.S. pregnant women | 0.344877 |
| adverse pregnancy outcomes | 0.287711 |
| U.S. pregnant travelers | 0.26545 |
| fever | 0.231393 |
| Zika virus infection | 0.825861 |
| Zika virus immunoglobulin | 0.30582 |
| state health department | 0.233488 |
| apparently healthy infants | 0.252883 |
| CDC recommendations | 0.235617 |
| gestation | 0.244878 |
| public health | 0.256604 |
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| CDC guidelines | 0.243206 |
| newly established CDC | 0.254078 |
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| pregnancy losses | 0.311139 |
| interim guidelines | 0.257831 |
| Zika virus testing | 0.34151 |
| ongoing local transmission | 0.307362 |
| active transmission | 0.243413 |
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Climate Change and Public Health - Health Effects - Diseases Carried by Vectors |
Climate Change and Public Health - Health Effects - Diseases Carried by Vectors |
| year-to-year climate variability | 0.916452 |
| domestically acquiring diseases | 0.846643 |
| Enhanced vector surveillance | 0.825615 |
| cultural factors | 0.76982 |
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| geographical distribution | 0.678256 |
| long-term studies | 0.66817 |
| human behavior | 0.815317 |
| shifts | 0.59192 |
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| expansions | 0.537377 |
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| vector range | 0.695099 |
| host immunity | 0.692803 |
| fleas | 0.54436 |
| mosquitoes | 0.544473 |
| vector populations | 0.73089 |
| human responses | 0.715657 |
| vector-human contact | 0.664727 |
| human modification | 0.675683 |
| Climate change effects | 0.880985 |
| Infectious disease transmission | 0.818055 |
| vector-control efforts | 0.663157 |
| vectors | 0.587772 |
| dengue fever | 0.928966 |
|
| Rift Valley fever | 0.893835 |
| tularemia | 0.543925 |
| vector-host interaction | 0.678151 |
| North Americans | 0.847509 |
| vector/pathogen adaptation | 0.686394 |
| United States | 0.677803 |
| Chagas disease | 0.712039 |
| seasonal distribution | 0.709076 |
| geographic ranges | 0.68936 |
| human disease tracking | 0.840631 |
| Rocky Mountain | 0.674497 |
| weather variables | 0.671908 |
| health care | 0.700346 |
| subtropical areas | 0.683928 |
| human-insect contact | 0.668247 |
| ticks | 0.542375 |
| pathogen evolution | 0.710919 |
| small-scale differences | 0.668708 |
| Nile virus disease | 0.847998 |
| chikungunya | 0.554891 |
| lifestyle factors | 0.721806 |
| disease incidence | 0.724761 |
| animal hosts | 0.665507 |
| vector-borne pathogen occurrence | 0.958984 |
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