| 4431 |
Centers for Disease Control and Prevention |
Html |
en |
Diseases & Conditions A-Z Index - T |
CDC Diseases and Conditions A-Z Index |
| Error processing SSI | 0.844474 |
| Whipworm Infection | 0.695359 |
| Microsoft PowerPoint file | 0.507257 |
| Clostridium tetani Infection | 0.787747 |
| processing SSI file | 0.840166 |
| (Tuberculosis) | 0.79044 |
| [Trichomonas Infection] | 0.792526 |
| Microsoft Word file | 0.510948 |
| Search Form Controls | 0.667279 |
| Sore Throat | 0.496332 |
| Francisella tularensis Infection | 0.916905 |
| Traumatic Brain Injury | 0.632565 |
| Mountain Spotted Fever | 0.477934 |
| Tuberculosis Training | 0.488865 |
| A-Z Index | 0.837326 |
| TB Surveillance Reports | 0.713414 |
| Rickettsia rickettsii Infection | 0.780994 |
| TB Education | 0.718204 |
| Tapeworm Infection | 0.778311 |
| (Lockjaw) Infection | 0.504767 |
| [Babesia Infection] | 0.779905 |
| Conditions A-Z Index | 0.733242 |
| Microsoft Excel file | 0.505516 |
|
| Tuberculosis Vaccine | 0.482777 |
| Taenia Infection | 0.769373 |
| Contact CDC | 0.496756 |
| [Toxoplasma Infection] | 0.786741 |
| Treponema pallidum Infection | 0.770349 |
| Trachoma Infection | 0.704529 |
| CDC Topics | 0.580114 |
| Search The CDC | 0.53959 |
| page options Skip | 0.51895 |
| Form Controls TOPIC | 0.489686 |
| Thoracic Aortic Aneurysm | 0.482725 |
| different file formats | 0.508855 |
| [Toxocara Infection] | 0.798568 |
| Trypanosoma cruzi Infection | 0.764461 |
| TB Testing | 0.719772 |
| HIV Coinfection | 0.578144 |
| Tuberculosis Skin Test | 0.557075 |
| Apple Quicktime file | 0.50148 |
| TB Data | 0.69168 |
| Mycobacterium tuberculosis Infection | 0.85333 |
| CDC A-Z | 0.616496 |
| Dipylidium Infection | 0.708786 |
| Adobe PDF file | 0.502944 |
|
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| 4724 |
Centers for Disease Control and Prevention |
Html |
en |
Guidance for School Administrators to Help Reduce the Spread of Seasonal Influenza in K-12 Schools |
Guidance for School Administrators to Help Reduce the Spread of Seasonal Influenza in K-12 Schools - CDC |
| seasonal flu vaccination | 0.66222 |
| Flu vaccination efforts | 0.583758 |
| severe flu | 0.562555 |
| alcohol-based hand sanitizer | 0.436531 |
| seasonal flu activity | 0.613901 |
| Flu Season Information | 0.588241 |
| seasonal flu vaccines | 0.615095 |
| U.S. Department | 0.380914 |
| Sick room staff | 0.398068 |
| public health department | 0.421142 |
| health department staff | 0.387006 |
| widespread flu activity | 0.606289 |
| quadrivalent flu vaccines | 0.57643 |
| Separate sick students | 0.392828 |
| School Administrators Associated | 0.378511 |
| Key Facts | 0.377996 |
| flu illness | 0.583423 |
| sick leave policies | 0.386809 |
| seasonal flu | 0.7373 |
| H3N2 Variant Influenza | 0.392066 |
| school-aged children | 0.377875 |
| schools | 0.375066 |
| high risk | 0.524787 |
| local flu situation | 0.553359 |
| School vaccination clinics | 0.388486 |
|
| United States | 0.419293 |
| severe flu illness | 0.559709 |
| students | 0.397682 |
| similar vaccine viruses | 0.412464 |
| flu virus | 0.586713 |
| flu outbreak | 0.520485 |
| sick room | 0.41121 |
| flu complications | 0.528049 |
| Influenza School-Located Vaccination | 0.399224 |
| Developing Flu-Related Complications | 0.431516 |
| no-touch trash cans | 0.427989 |
| Flu seasons | 0.569138 |
| public health | 0.438667 |
| flu-like symptoms | 0.440662 |
| adequate supplies | 0.402942 |
| flu vaccinations | 0.535308 |
| antiviral drugs | 0.390079 |
| grades K-12 education | 0.3744 |
| seasonal flu vaccine | 0.615722 |
| flu viruses | 0.782658 |
| staff | 0.40538 |
| state/local public health | 0.384512 |
| flu | 0.925732 |
| local public health | 0.421149 |
|
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| 5498 |
Centers for Disease Control and Prevention |
Html |
en |
Methyl Cellosolve® - 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 |
|
CLICK HERE |
| 6693 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Special Supplement: Interrupting Child Maltreatment across Generations through Safe, Stable, Nurturing Relationships|Child Maltreatment|Violence Prevention|Injury Center|CDC |
Effective prevention strategies are necessary to promote awareness about child maltreatment and to foster commitment to social change. |
| potentially critical opportunity | 0.72278 |
| role | 0.521701 |
| CDC | 0.521183 |
| Rochester Youth Development/Intergenerational | 0.705688 |
| Twin Study | 0.610737 |
| important avenues | 0.630312 |
| lifespan | 0.528684 |
| Safe | 0.521028 |
| Journal | 0.518654 |
| intergenerational patterns | 0.657235 |
| multi-component programs | 0.622729 |
| papers | 0.521757 |
| helpful prevention strategy | 0.696526 |
| result | 0.518906 |
| skills | 0.517889 |
| caregivers | 0.522924 |
| number | 0.519939 |
| significant protective effect | 0.715223 |
| social contexts | 0.640331 |
| children | 0.558495 |
| Environmental Risk Longitudinal | 0.750384 |
| Lehigh Longitudinal Study | 0.752845 |
|
| maintain healthy relationships | 0.703625 |
| results | 0.519386 |
| intergenerational cycle | 0.683532 |
| intergenerational transmission | 0.662544 |
| violence | 0.581006 |
| important longitudinal studies | 0.751543 |
| well-being | 0.522358 |
| Family Transitions Project | 0.710988 |
| lives | 0.540543 |
| researchers | 0.518408 |
| Stable | 0.55635 |
| families | 0.519843 |
| Adolescent Health | 0.618334 |
| child maltreatment survivors | 0.832631 |
| child maltreatment | 0.957455 |
| Nurturing Relationships | 0.678881 |
| insight | 0.519744 |
| Effective strategies | 0.61134 |
| special supplement | 0.626774 |
| Generations | 0.520223 |
| relational factors | 0.63174 |
| parents | 0.542328 |
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| 8903 |
Centers for Disease Control and Prevention |
Html |
en |
Malaria - About Malaria - FAQs |
Frequently asked questions about malaria, disease, transmission, symptoms, diagnosis, treatment, complications with pregnancy, prevention, eradication and endemic areas. |
| red blood cells | 0.390702 |
| malaria medicines | 0.494516 |
| professional medical care | 0.355949 |
| contracting malaria | 0.493517 |
| Page | 0.399529 |
| effective antimalarial drugs | 0.366575 |
| effective malaria vaccine | 0.505889 |
| antimalarial drugs chloroquine | 0.358928 |
| Plasmodium falciparum | 0.357673 |
| malaria parasite | 0.553795 |
| antimalarial drugs | 0.490421 |
| P. falciparum | 0.339014 |
| good antimalarial drugs | 0.359432 |
| malaria infection | 0.504473 |
| malaria drugs | 0.56295 |
| flu-like illness | 0.354 |
| area | 0.346392 |
| Malaria self-treatment | 0.476341 |
| countries | 0.346836 |
| microscopic malaria parasites | 0.537481 |
| Africa south | 0.345101 |
| effective malaria treatment | 0.491815 |
| malaria attacks | 0.473723 |
| P. ovale | 0.378287 |
| malaria parasites | 0.642919 |
|
| malaria treatment medicines | 0.488916 |
| antimalarial drug Malarone | 0.348517 |
| malaria causes | 0.516926 |
| United States | 0.508077 |
| malaria exists | 0.477573 |
| malaria | 0.906829 |
| malaria preventive drugs | 0.502806 |
| previous blood meal | 0.338326 |
| P. vivax | 0.369454 |
| No. Malaria | 0.503669 |
| solid malaria control | 0.49259 |
| transfusion-transmitted malaria | 0.479843 |
| effective malaria | 0.514094 |
| blood transfusion | 0.337891 |
| principal malaria mosquito | 0.496796 |
| malaria treatment medication | 0.489894 |
| disease | 0.365987 |
| breast milk | 0.35484 |
| malaria immunity | 0.493244 |
| people | 0.366376 |
| infected person | 0.346204 |
| health-care provider | 0.44702 |
| malaria transmission | 0.769011 |
| antimalarial drug | 0.397215 |
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| 10825 |
Centers for Disease Control and Prevention |
Html |
en |
Health, United States, 2013 includes special section on prescription drugs |
CDC announces second imported case of Middle East Respiratory Syndrome (MERS) in the United States |
| key health measures | 0.461017 |
| insurance coverage | 0.382864 |
| high cholesterol | 0.404893 |
| commonly used classes | 0.470258 |
| Disease Control | 0.396567 |
| prescription drugs | 0.975827 |
| private sector. | 0.38116 |
| federal government | 0.378979 |
| commonly used prescription | 0.66662 |
| Americans | 0.334578 |
| cholesterol-lowering drug | 0.424065 |
| reproductive health | 0.39346 |
| health expenditures | 0.397515 |
| life expectancy | 0.384328 |
| medical visits | 0.388846 |
| statin drugs | 0.472277 |
| private sector | 0.39105 |
| prescription drugs. Key | 0.54256 |
| birth rates | 0.383239 |
| blood thinners | 0.391139 |
| Drug poisoning deaths | 0.453473 |
| health care utilization | 0.462962 |
| United States | 0.485772 |
| 37th annual report | 0.480251 |
| age group | 0.387238 |
|
| adults | 0.46668 |
| common prescription drugs | 0.653739 |
| kidney disease | 0.391421 |
| percent | 0.523518 |
| Cardiovascular agents | 0.403956 |
| federal health agencies | 0.490054 |
| Health Statistics. | 0.41248 |
| heart disease | 0.393165 |
| U.S. DEPARTMENT | 0.383604 |
| comprehensive report | 0.406267 |
| cardiovascular disease | 0.414622 |
| health risk behaviors | 0.463139 |
| cold symptoms | 0.390972 |
| health data | 0.412318 |
| retail prescription drugs | 0.582758 |
| cardiovascular agent | 0.485006 |
| opioid analgesics | 0.413377 |
| annual growth | 0.382546 |
| antidepressants | 0.341811 |
| special section | 0.396767 |
| high blood pressure | 0.467424 |
| Prevention’s National | 0.397877 |
| Human Services | 0.481474 |
| past decade | 0.387914 |
|
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| 10834 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Human Papillomavirus-Related Cancers Among People Living With AIDS in Puerto Rico - CDC |
The objective of this study was to estimate the incidence of cancer and human papillomavirus (HPV)–related cancers and the risk of death (by cancer status) among people living with AIDS (PLWA) in Puerto Rico. We used data from the Puerto Rico AIDS Surveillance Program and Central Cancer Registry (1985–2005). Cancers with highest incidence were cervix (299.6/100,000) for women and oral cavity/oropharynx for men (150.0/100,000); the greatest excess of cancer incidence for men (standardized incidence ratio, 86.8) and women (standardized incidence ratio, 52.8) was for anal cancer. PLWA who developed a cancer had decreased survival and increased risk of death compared with those who did not have cancer. Cancer control strategies for PLWA will be essential for improving their disease survival. |
| Cancer control strategies | 0.512181 |
| –related cancers | 0.482749 |
| oral cavity/oropharyngeal cancers | 0.494596 |
| AIDS Surveillance Program | 0.512308 |
| higher excess incidence | 0.478544 |
| non-HPV–related cancer | 0.555788 |
| non-HPV–related cancer category | 0.491284 |
| following HPV-related cancers | 0.514247 |
| Central Cancer Registry | 0.595389 |
| cancer status | 0.582345 |
| Puerto Rico Medical | 0.568412 |
| anal cancer prevention | 0.521318 |
| Puerto Rico population | 0.560727 |
| invasive primary cancers | 0.497056 |
| cancer survival | 0.479802 |
| Puerto Rico Incidence | 0.565578 |
| Natl Cancer Inst | 0.516252 |
| human papillomavirus-associated cancers | 0.53123 |
| certain HPV-related cancers | 0.521985 |
| anal cancer screening | 0.537493 |
| HPV-related cancers | 0.74671 |
| HPV-related invasive cancers | 0.499447 |
| Rico AIDS Surveillance | 0.56878 |
| non-HPV–related cancers | 0.492559 |
| HIV-related anal cancer | 0.512684 |
|
| AIDS diagnosis | 0.630039 |
| Puerto Rico | 0.952885 |
| cancer registry data | 0.492174 |
| Puerto Rico AIDS | 0.628433 |
| Rico Central Cancer | 0.591487 |
| Puerto Rico Central | 0.568775 |
| general population | 0.505351 |
| Puerto Rican population | 0.513868 |
| cancer risk analysis | 0.510751 |
| National Cancer Institute | 0.493659 |
| cancer burden | 0.500982 |
| cancer profile | 0.483904 |
| San Juan | 0.499355 |
| Puerto Rico Comprehensive | 0.545981 |
| PLWA | 0.504744 |
| Comprehensive Cancer Center | 0.519448 |
| anal cancer | 0.662065 |
| Comprehensive Center Cancer | 0.490254 |
| Rico Cancer Incidence | 0.563945 |
| standardized incidence ratio | 0.564843 |
| puerto rico vaccination | 0.571456 |
| et al | 0.491562 |
| cancer | 0.784151 |
| cancer incidence | 0.580529 |
|
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| 11600 |
Centers for Disease Control and Prevention |
Html |
en |
Influenza Vaccination Coverage Among Health Care Personnel —United States, 2013–14 Influenza Season |
Carla L. Black, PhD1, Xin Yue, MPS, MS1, Sarah W. Ball, ScD2, Sara M. |
| influenza vaccination coverage | 0.853794 |
| general HCP personnel | 0.497781 |
| clinical HCP | 0.552274 |
| volunteer HCP members | 0.491506 |
| employer vaccination policies | 0.439416 |
| vaccination coverage | 0.868234 |
| Internet panel survey | 0.631414 |
| influenza vaccination levels | 0.428981 |
| nonclinical HCP | 0.512474 |
| vaccination status | 0.403458 |
| population Internet panels | 0.30528 |
| opt-in Internet panels | 0.381278 |
| Comprehensive vaccination strategies | 0.433792 |
| HCP vaccination coverage | 0.730905 |
| nurse practitioners/physician assistants | 0.305596 |
| facilities offering vaccination | 0.397908 |
| HCP population | 0.466074 |
| employer vaccination requirements | 0.423527 |
| HCP | 0.996707 |
| health care settings | 0.423264 |
| vaccination promotion | 0.424486 |
| free on-site vaccination | 0.449044 |
| unvaccinated HCP | 0.482865 |
| Internet panels | 0.387222 |
| HCP working | 0.510548 |
|
| vaccination availability | 0.401165 |
| vaccination | 0.895765 |
| higher HCP vaccination | 0.633843 |
| overall HCP influenza | 0.536686 |
| vaccination requirements | 0.472472 |
| higher vaccination coverage | 0.474228 |
| ascertain vaccination promotion | 0.405676 |
| food service workers | 0.316509 |
| on-site vaccination | 0.449209 |
| self-reported influenza vaccination | 0.464187 |
| HCP influenza vaccination | 0.751892 |
| Nonclinical personnel††| 0.308731 |
| work settings | 0.347349 |
| clerical support workers | 0.316708 |
| seasonal vaccination coverage | 0.429918 |
| general population Internet | 0.308658 |
| vaccination promotion trend | 0.404484 |
| occupation type | 0.344463 |
| Carla L. Black | 0.310489 |
| Professional clinical HCP | 0.535935 |
| Internet panel sources | 0.312919 |
| influenza vaccination | 0.868462 |
| clinical personnel | 0.312014 |
| LTC settings | 0.543738 |
|
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| 12626 |
Centers for Disease Control and Prevention |
Video |
en |
Director's Briefing: Obesity Rates among Preschoolers |
CDC works 24/7 to save lives and protect people. This month's Vital Signs (www.cdc.gov/vitalsigns/) has good news: Obesity rates are decreasing among our nation's low-income preschoolers. The federal WIC program has improved nutritional standards, and communities across the nation are taking action --increasing breastfeeding rates, improving nutrition and physical activity in child care, and keeping school playgrounds open during non-school hours, just to name a few ways that have been proven to work. Still, 1 in 8 preschoolers is obese. Obese children are more likely to become obese adults and have lifelong physical and mental health problems. Communities must continue to help our children thrive.
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=d445ad0752089116bffffe71aed0766420130801162439812 |
| Obesity Rates | 0.936452 |
| Preschoolers | 0.814786 |
|
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CLICK HERE |
| 13424 |
Centers for Disease Control and Prevention |
Html |
en |
Colorectal Cancer Identification Methods Among KansasMedicare Beneficiaries, 2008&ndash2010 |
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. |
| CRC screening recommendations | 0.561042 |
| CRC testing | 0.517332 |
| CRC test | 0.738479 |
| CRC test procedure | 0.547117 |
| CRC identification classification | 0.569802 |
| Kansas Medicare beneficiaries | 0.420925 |
| double-contrast barium enema | 0.449353 |
| CRC mortality rates | 0.572427 |
| CRC diagnosis | 0.568518 |
| ICD-9-CM diagnosis codes | 0.409492 |
| population-based Kansas Cancer | 0.393441 |
| multiple CRC primaries | 0.563521 |
| diagnostic-identified CRC | 0.517795 |
| routine cancer screening | 0.386286 |
| CRC screening | 0.786901 |
| Kansas Medical Center | 0.430404 |
| CRC incidence | 0.546631 |
| New CRC cases | 0.603857 |
| population-based registry records | 0.412498 |
| diagnostic workup | 0.383203 |
| prior invasive CRC | 0.558433 |
| CRC | 0.998697 |
| CRC outcomes | 0.544985 |
| claims history | 0.407253 |
|
| logistic regression analysis | 0.422218 |
| administrative claims data | 0.48101 |
| surveillance-identified CRC | 0.556501 |
| CRC tests | 0.6491 |
| invasive CRC | 0.57941 |
| CRC cases | 0.854582 |
| CRC screening test | 0.618102 |
| CRC patients | 0.537856 |
| National Cancer Institute | 0.405338 |
| Kansas Cancer Registry | 0.566694 |
| CRC prevention | 0.564944 |
| screening/surveillance-identified CRC | 0.671666 |
| colonoscopy indication | 0.383603 |
| multiple logistic regression | 0.388419 |
| CRC symptom ICD-9-CM | 0.560496 |
| population-based cancer registry | 0.471776 |
| 60-day window | 0.406908 |
| CRC screening rates | 0.639759 |
| population-based CRC cohort | 0.557192 |
| CRC identification | 0.856771 |
| Medicare-linked CRC cases | 0.718848 |
| CRC test indication | 0.605763 |
| CRC symptom diagnosis | 0.576079 |
| CRC identification methods | 0.787166 |
|
CLICK HERE |