| 4629 |
Centers for Disease Control and Prevention |
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Floods|CDC |
Information on floods. Provided by the Centers for Disease Control and Prevention (CDC). |
| harm | 0.554074 |
| devastating effects | 0.969421 |
| flooding | 0.5666 |
| Floods | 0.586807 |
|
| family | 0.473752 |
| steps | 0.524312 |
| flood | 0.791762 |
| home | 0.600026 |
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| 6249 |
Centers for Disease Control and Prevention |
Html |
en |
Gram-negative Bacteria Infections in Healthcare Settings - HAI |
null |
| Klebsiella | 0.473926 |
| CDC | 0.943165 |
| better understanding | 0.467361 |
| genetic materials | 0.481202 |
| B. cepacia | 0.605524 |
| separate outbreaks | 0.529962 |
| Rico health department | 0.619489 |
| aggressive infection control | 0.613461 |
| state health departments | 0.610003 |
| unrelated outbreak | 0.493485 |
| A. baumannii | 0.450435 |
| military medical facilities | 0.579311 |
| common bacteria | 0.601301 |
| laboratory standards-setting institutions | 0.589549 |
| surgical site infections | 0.781527 |
| laboratory tests | 0.451226 |
| gram negative infections | 0.730799 |
| bloodstream infections | 0.640662 |
| unusual resistance | 0.506337 |
| Acinetobacter infections | 0.574674 |
| reference laboratory | 0.45294 |
| available antibiotics | 0.485864 |
| neonatal intensive-care unit | 0.642289 |
| various healthcare facilities | 0.605664 |
| important improvements | 0.451445 |
|
| antibiotic resistance patterns | 0.650294 |
| Ohio health department | 0.61376 |
| Puerto Rico | 0.580894 |
| new ways | 0.483223 |
| Gram-negative infections | 0.691038 |
| Middle East | 0.454055 |
| care unit patients | 0.597493 |
| Healthcare Quality Promotion | 0.619653 |
| state health department | 0.83562 |
| Pseudomonas aeruginosa | 0.532975 |
| intensive-care units | 0.490589 |
| National Healthcare Safety | 0.597358 |
| multiple drugs | 0.479881 |
| aggressive recommendations | 0.469932 |
| E. coli. | 0.467454 |
| E. coli | 0.452334 |
| carbapenemase resistance | 0.515826 |
| P. aeruginosa | 0.48028 |
| gram-negative bacteria | 0.957577 |
| health department | 0.866177 |
| built-in abilities | 0.47238 |
| Multidrug-resistant-Acinetobacter infections | 0.589791 |
| Outbreak investigations | 0.501364 |
| healthcare settings | 0.622221 |
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| 6974 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Côte d'Ivoire |
CDC’s Division of Global HIV/AIDS (DGHA) has been working in Côte d’Ivoire since 1987, when it started a field research station in Abidjan and established the Retrovirus Côte d’Ivoire, or CDC Retro-CI, project. |
| TB treatment centers | 0.540917 |
| endorsement | 0.241256 |
| nongovernmental organizations | 0.404984 |
| project | 0.231321 |
| sites | 0.225842 |
| assurance program | 0.357658 |
| evidence-based HIV/AIDS programs | 0.560487 |
| antiretroviral treatment | 0.427175 |
| National Public Health | 0.544664 |
| Content source | 0.37814 |
| HHS | 0.245138 |
| BSL3 Tuberculosis Laboratory | 0.520514 |
| Notice | 0.226455 |
| children | 0.225921 |
| CDC Retro-CI | 0.997534 |
| sponsors | 0.225673 |
| Population Reference Bureau | 0.520842 |
| biochemistry laboratory testing | 0.493584 |
| Infant mortality rate | 0.525265 |
| Download Overview Fact | 0.533329 |
| Retrovirus Côte d’Ivoire | 0.694919 |
| development | 0.228735 |
| Life expectancy | 0.388658 |
|
| infants | 0.228345 |
| national external quality | 0.495449 |
| integrated CDC | 0.709812 |
| global HIV/AIDS response | 0.579605 |
| field research station | 0.567949 |
| National Influenza Center | 0.524146 |
| HIV-positive pregnant women | 0.529242 |
| capita income | 0.406834 |
| CDC support | 0.722268 |
| TB patients | 0.399529 |
| hematology | 0.230723 |
| Country Health Profile | 0.519497 |
| non-federal site | 0.389577 |
| live births | 0.382594 |
| polio surveillance | 0.38745 |
| HIV testing | 0.423559 |
| birth women/men | 0.376637 |
| antiretroviral drugs | 0.420384 |
| information | 0.225639 |
| yrs | 0.24437 |
| employees | 0.225708 |
| Sheet | 0.228443 |
|
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| 7533 |
Centers for Disease Control and Prevention |
Html |
en |
Arthritis - Data and Statistics - FAQs (Data Related) |
arthritis surveillance, arthritis epidemiology, arthritis relief, arthritis information, CDC arthritis, arthritis data, arthritis prevalence, arthritis statistics, arthritis surveillance |
| respondent answers | 0.258895 |
| core section | 0.301678 |
| study | 0.219423 |
| survey respondents | 0.272569 |
| survey question | 0.324919 |
| osteoarthritis | 0.242477 |
| self-reported information | 0.351985 |
| rheumatic conditions. | 0.266178 |
| Page | 0.251878 |
| doctor’s diagnosis | 0.259792 |
| Arthritis Burden core | 0.496481 |
| Arthritis Burden questions | 0.495536 |
| lupus | 0.246588 |
| NHIS data | 0.312443 |
| prevalence | 0.22919 |
| Arthritis Burden module | 0.498887 |
| self-reported data | 0.296764 |
| national survey | 0.267316 |
| bigger issue | 0.257108 |
| fibromyalgia | 0.226345 |
| cdc arthritis program | 0.619237 |
| self-reported condition data | 0.345521 |
| public health surveillance | 0.317559 |
| program staff | 0.259733 |
|
| periods | 0.218759 |
| end | 0.224418 |
| definition | 0.217763 |
| Healthy People | 0.260822 |
| 100 diseases that | 0.265001 |
| Healthcare Research | 0.260597 |
| doctor-diagnosed arthritis | 0.755573 |
| BRFSS surveys | 0.355491 |
| Arthritis Burden | 0.503232 |
| subsequent BRFSS surveys | 0.30293 |
| types | 0.224441 |
| arthritis type | 0.512548 |
| doctor-diagnosed arthritis case | 0.498636 |
| researchers | 0.221504 |
| Health Interview Survey | 0.320709 |
| self-reported arthritis condition | 0.532544 |
| rheumatoid arthritis | 0.625226 |
| Health Conditions core | 0.304021 |
| immediate association | 0.256181 |
| chronic conditions | 0.254752 |
| arthritis | 0.906994 |
| national estimates | 0.316993 |
| gout | 0.231774 |
|
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| 9774 |
Centers for Disease Control and Prevention |
Html |
en |
Progress on Childhood Obesity: Many States Show Declines infographic text |
CDC Vital Signs - Progress on Childhood Obesity: Many States Show Declines infographic text |
| infographic shows ways | 0.674968 |
| healthy meals | 0.548875 |
| neighborhood park | 0.55024 |
| outdoor physical activity | 0.867898 |
| United States | 0.561729 |
| local school playground | 0.908518 |
| vegetables | 0.424303 |
| Pediatric Nutrition Surveillance | 0.695115 |
| prevalence | 0.435972 |
| nutrition education support | 0.866952 |
| child care | 0.684766 |
| teacher | 0.450604 |
| fruits | 0.4243 |
| different settings | 0.549911 |
| statistically significant decreases | 0.788917 |
| snacks | 0.427999 |
| map | 0.429386 |
| obesity | 0.432059 |
| BMI | 0.475666 |
| height | 0.467255 |
|
| participants | 0.428445 |
| shows children | 0.530104 |
| healthy breakfast | 0.556619 |
| counseling | 0.449285 |
| statistically significant increases | 0.781463 |
| community farmers | 0.687107 |
| weight | 0.449593 |
| Box | 0.543457 |
| classification | 0.430682 |
| analysis | 0.428143 |
| healthy snack | 0.555514 |
| physical activity | 0.906517 |
| home | 0.452865 |
| doctor | 0.471467 |
| market | 0.451053 |
| preschoolers | 0.436843 |
| ages | 0.429016 |
| education support services | 0.885085 |
| preschooler | 0.720701 |
| statistically significant changes | 0.774392 |
|
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| 10221 |
Centers for Disease Control and Prevention |
Html |
en |
Hypothermia'Winter Weather |
Taking preventive action is your best defense against having to deal with extreme cold-weather conditions. By preparing your home and car in advance for winter emergencies, and by observing safety precautions during times of extremely cold weather, you can reduce the risk of weather-related health problems. |
| temperatures | 0.458116 |
| winter storms | 0.788413 |
| stages | 0.371516 |
|
| challenge | 0.397336 |
| winter storm | 0.722421 |
|
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| 11322 |
Centers for Disease Control and Prevention |
Html |
null |
Evidence Reviews and Research Summaries |
This page provides tools and resources for researching and evaluating health literacy practice. |
|
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CLICK HERE |
| 12234 |
Centers for Disease Control and Prevention |
Html |
en |
Tobacco Cessation Among Users of Telephone and Web-BasedInterventions - Four States, 2011-2012 |
Mary Puckett, PhD1,2, Antonio Neri, MD2, Trevor Thompson2, J. Michael Underwood, PhD2, Behnoosh Momin, MS, MPH2, Jennifer Kahende, PhD3, Lei Zhang, PhD3, Sherri L. Stewart, PhD2 (Author affiliations at end of text). |
| cessation service | 0.626994 |
| best tobacco cessation | 0.386378 |
| tobacco cessation success | 0.396476 |
| public health practitioners | 0.360777 |
| single-service users | 0.256009 |
| tobacco cessation | 0.928024 |
| tobacco control programs | 0.229441 |
| Web-only users | 0.653438 |
| telephone-only users | 0.307679 |
| marital status | 0.239567 |
| education level | 0.241808 |
| primary cessation service | 0.350328 |
| tobacco users | 0.22438 |
| dual-service users | 0.953197 |
| public health | 0.440301 |
| participants | 0.239265 |
| cessation service users | 0.410463 |
| telephone cessation services | 0.384123 |
| dual-service cessation interventions | 0.365591 |
| tobacco cessation service | 0.56855 |
|
| state-managed tobacco cessation | 0.441268 |
| additional cessation practices | 0.326597 |
| public health programs | 0.268458 |
| cessation success | 0.648417 |
| smoking characteristics | 0.244046 |
| tobacco cessation programs | 0.665032 |
| Web-based services | 0.304268 |
| cessation services | 0.651853 |
| measured cessation success | 0.331209 |
| state-provided cessation service | 0.498842 |
| additional cessation | 0.340899 |
| Chronic Disease Prevention | 0.226051 |
| long-term cessation | 0.3303 |
| 30-day PPA | 0.256385 |
| additional cessation benefit | 0.338023 |
| cessation service providers | 0.404262 |
| statistically significant differences | 0.257351 |
| confidence interval | 0.274031 |
| tobacco control contexts | 0.214753 |
| Web-based cessation services.* | 0.441702 |
|
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| 13333 |
Centers for Disease Control and Prevention |
Html |
en |
Influenza Activity - United States, 2014-15 Season andComposition of the 2015-16 Influenza Vaccine |
Grace D. Appiah, MD1; Lenee Blanton, MPH1; Tiffany D'Mello, MPH1; Krista Kniss, MPH1; Sophie Smith, MPH1; Desiree Mustaquim, MPH1; Craig Steffens, MPH1; Rosaline Dhara, MPH1; Jessica Cohen, MPH1; Sandra S. Chaves, MD1; Joseph Bresee, MD1; Teresa Wallis, MS1; Xiyan Xu, MD1; Anwar Isa Abd Elal1; Larisa Gubareva, PhD1; David E. |
| influenza | 0.94097 |
| influenza hospitalization surveillance | 0.547528 |
| CDC influenza surveillance | 0.489794 |
| novel influenza | 0.550507 |
| avian influenza viruses | 0.530729 |
| quadrivalent influenza vaccine | 0.508797 |
| global influenza virologic | 0.499203 |
| influenza A viruses | 0.585941 |
| Hemisphere influenza vaccine | 0.667959 |
| seasonal influenza viruses | 0.530944 |
| current influenza season | 0.499431 |
| genetically drifted influenza | 0.489977 |
| previous influenza | 0.521553 |
| influenza B component | 0.495775 |
| influenza antiviral medications | 0.534768 |
| influenza virus infection | 0.498268 |
| influenza B viruses | 0.695853 |
| influenza activity* | 0.510282 |
| Hemisphere influenza vaccines | 0.509743 |
| influenza B activity | 0.517306 |
| variant influenza | 0.50702 |
| weekly influenza activity | 0.507861 |
| laboratory-confirmed influenza | 0.518532 |
|
| laboratory-confirmed influenza case | 0.484886 |
| influenza A virus | 0.483329 |
| Southern Hemisphere influenza | 0.534943 |
| Influenza surveillance reports | 0.489449 |
| severe influenza illness | 0.48397 |
| influenza vaccine | 0.718826 |
| influenza season | 0.709651 |
| novel influenza virus | 0.509407 |
| influenza activity | 0.646221 |
| quadrivalent influenza vaccines | 0.504338 |
| influenza virus infections | 0.538668 |
| Northern Hemisphere influenza | 0.628398 |
| influenza virus specimens | 0.516391 |
| influenza vaccination | 0.485579 |
| recent influenza | 0.496012 |
| influenza seasons | 0.5086 |
| influenza virus circulation | 0.50347 |
| laboratory-confirmed influenza virus | 0.512757 |
| influenza trivalent vaccines | 0.501134 |
| influenza viruses | 0.650747 |
| influenza B virus | 0.518508 |
| influenza virus | 0.604422 |
| summer influenza activity | 0.494429 |
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| 16305 |
Centers for Disease Control and Prevention |
Html |
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FastStats - Infant Health |
null |
| tables | 0.568398 |
| PDF | 0.56144 |
| MB | 0.707389 |
|
| Final Data | 0.951861 |
| Births | 0.799733 |
|
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