| 6815 |
Centers for Disease Control and Prevention |
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Pelvic Inflammatory Disease (PID) - CDC Fact Sheet |
Pelvic Inflammatory Disease - Information from CDC |
| medical history | 0.483673 |
| unusual discharge | 0.48224 |
| health care provider | 0.54695 |
| Long-term pelvic/abdominal pain | 0.54034 |
| right way | 0.484264 |
| P.O. Box | 0.479563 |
| transmitted diseases | 0.499121 |
| Association (ASHA) | 0.543648 |
| IUD | 0.441994 |
| American Sexual Health | 0.541361 |
| CDC National Prevention | 0.536178 |
| sex partner | 0.706044 |
| oral sex | 0.495838 |
| chlamydia | 0.443925 |
| lower abdomen | 0.487964 |
| symptoms | 0.497527 |
| genital symptoms | 0.488674 |
| birth control | 0.487806 |
| PID experience difficulties | 0.763364 |
| Research Triangle Park | 0.540171 |
| bad odor | 0.480225 |
| STD test results | 0.59845 |
| smelly discharge | 0.488447 |
| Information Network | 0.473409 |
|
| infection | 0.431056 |
| sex partners | 0.499537 |
| recent sex partner | 0.570733 |
| P. O. Box | 0.540955 |
| STD information | 0.51262 |
| STD Clinics | 0.513973 |
| mutually monogamous relationship | 0.563817 |
| intrauterine device | 0.48787 |
| Ectopic pregnancy | 0.477497 |
| complications | 0.446045 |
| unusual sore | 0.48146 |
| PID | 0.906414 |
| scar tissue | 0.476407 |
| pelvic inflammatory disease | 0.720718 |
| small increased risk | 0.558957 |
| higher chance | 0.4769 |
| doctor | 0.454249 |
| tubal blockage | 0.482152 |
| open talk | 0.481164 |
| STDs | 0.531205 |
| fallopian tubes | 0.477589 |
| Burning sensation | 0.48636 |
| physical exam | 0.482926 |
| reproductive organs | 0.49061 |
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Centers for Disease Control and Prevention |
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Telebriefing on Vital Signs Report:Hepatitis C Virus Infection Testing and Reporting Eight U.S. Sites, 2005-2011 |
CDC Telebriefing on Vital Signs Report:Hepatitis C Virus Infection Testing and Reporting – Eight U.S. Sites, 2005-2011 |
| hepatitis C testing | 0.799615 |
| media availability | 0.576383 |
| STD | 0.373752 |
| Non-Media | 0.416176 |
| proportion | 0.389189 |
| M.D. | 0.394635 |
| virus | 0.353734 |
| transcript | 0.411385 |
| U.S. DEPARTMENT | 0.572 |
| PASSCODE | 0.407577 |
| telephone-only media briefing | 0.988683 |
| M.P.H | 0.39613 |
| Tuesday | 0.352064 |
| Division | 0.348796 |
| pm EDT | 0.65056 |
| Tuberculosis Prevention | 0.621743 |
| Important Instructions | 0.595028 |
| dial | 0.362248 |
| National Center | 0.600539 |
|
| HIV/AIDS | 0.356796 |
| John Ward | 0.610767 |
| disease | 0.352473 |
| CDC Media | 0.686959 |
| question | 0.469522 |
| CDC Director Tom | 0.958414 |
| new Vital Signs | 0.917147 |
| Viral Hepatitis | 0.976292 |
| persons | 0.353208 |
| complete testing | 0.620168 |
| Frieden | 0.402941 |
| report | 0.353978 |
| multi-area analysis | 0.699024 |
| touchtone phone | 0.621195 |
| HUMAN SERVICES | 0.571174 |
| time | 0.346928 |
| press conference | 0.578508 |
| populations | 0.364548 |
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| 10633 |
Centers for Disease Control and Prevention |
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Younger teens still account for 1 in 4 teen births | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| non-Hispanic black teens | 0.5771 |
| teen births | 0.308377 |
| teen childbearing | 0.247558 |
| Vital Signs | 0.544267 |
| Mortality Weekly Report | 0.23818 |
| risky sexual behaviors | 0.229578 |
| age group | 0.257754 |
| Asian/Pacific Islander teens | 0.538778 |
| formal sex education | 0.241074 |
| teens | 0.902447 |
| Indian/Alaska Native teens | 0.791132 |
| high school education | 0.222966 |
| sexually active teens | 0.73359 |
| CDC journal Morbidity | 0.279939 |
| health care-associated infections | 0.228324 |
| birth rate | 0.253578 |
| prescription drug overdose | 0.223634 |
|
| key health indicators | 0.230007 |
| motor vehicle passenger | 0.218925 |
| teen pregnancy | 0.948399 |
| younger teens | 0.851984 |
| Vital Signs report | 0.444214 |
| teen pregnancy rates | 0.344208 |
| CDC Director Tom | 0.330094 |
| teen pregnancy visit | 0.314771 |
| older teens | 0.374281 |
| non-Hispanic white teens | 0.576743 |
| National Vital Statistics | 0.273681 |
| previous CDC reports | 0.286217 |
| teen pregnancy prevention | 0.509721 |
| Hispanic teens | 0.419094 |
| health behavior data | 0.262272 |
| high school diploma | 0.21668 |
| American Indian/Alaska Native | 0.514756 |
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| 10936 |
Centers for Disease Control and Prevention |
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Prostate Cancer Treatment |
Different types of treatment are available for prostate cancer. You and your doctor will decide which treatment is right for you. |
| pills | 0.423627 |
| treatment choices | 0.520958 |
| Hormone therapy | 0.518532 |
| standard treatments | 0.565319 |
| body | 0.465631 |
| treatment facility | 0.523114 |
| Active surveillance | 0.531968 |
| cancer doctor | 0.564953 |
| cancer care | 0.53375 |
| special drugs | 0.521585 |
| prostate specific antigen | 0.69657 |
| standard cancer treatments | 0.616199 |
| common treatments | 0.538265 |
| symptoms | 0.421464 |
| effects | 0.483864 |
| include— | 0.420911 |
| Cryotherapy. Placing | 0.51573 |
| special probe | 0.513356 |
| benefits | 0.435228 |
| medicines | 0.447711 |
| digital rectal exam | 0.623283 |
| hormones | 0.422369 |
| Different types | 0.530344 |
| Clinical trials | 0.509514 |
|
| cancer cells | 0.710754 |
| Blocks cancer cells | 0.638398 |
| Complementary medicine | 0.516511 |
| Radical prostatectomy | 0.539492 |
| Prostate Cancer Treatment | 0.703151 |
| National Cancer Institute | 0.626951 |
| Biological therapy | 0.517188 |
| alternative medicine | 0.754498 |
| Surgery. A prostatectomy | 0.539939 |
| Talk | 0.434515 |
| ultrasound | 0.440258 |
| opinion | 0.434759 |
| veins | 0.422102 |
| prostate cancer | 0.946022 |
| new treatment options | 0.608014 |
| risks | 0.436078 |
| high-energy sound waves | 0.606204 |
| DRE | 0.425673 |
| Option Overview | 0.508645 |
| Chemotherapy. | 0.420924 |
| investigation | 0.420916 |
| cancer | 0.994504 |
| information | 0.459324 |
| health practices | 0.507497 |
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| 11350 |
Centers for Disease Control and Prevention |
Html |
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NIOSH Recommendations for Chemical Protective Clothing: Database (References) |
null |
| A. New York | 0.495127 |
| McQuillan PB | 0.407729 |
| chemical resistant gloves | 0.592091 |
| protective gloves | 0.753718 |
| non-agricultural pesticide surveys | 0.484269 |
| Clayton FE | 0.405664 |
| chemically protective gloves | 0.65241 |
| U.S. Government Printing | 0.469438 |
| laboratory gloves | 0.466697 |
| Daschner FD | 0.404402 |
| American Society | 0.416177 |
| industrial pre-treatment | 0.408442 |
| protective materials | 0.502613 |
| personal protective equipment | 0.654117 |
| Ind Med | 0.470018 |
| standard breakthrough time | 0.607316 |
| Occupational dermatoses | 0.418804 |
| Protective glove material | 0.579702 |
| Health Administration No. | 0.483264 |
| breakthrough time comparison | 0.501741 |
| Mickelsen RL | 0.402807 |
| Potential exposure | 0.404348 |
| different glove manufacturers | 0.49223 |
| Ann Occup Hyg | 0.664706 |
|
| Ann Agric Environ | 0.538738 |
| Appl Occup Environ | 0.715542 |
| In-use testing | 0.451503 |
| commercial pesticide applicators | 0.470726 |
| Occup Environ Hyg | 0.705065 |
| Standard test method | 0.512131 |
| Occupational Safety | 0.470952 |
| nitrile gloves | 0.476606 |
| in-use protection | 0.494861 |
| New Orleans | 0.467269 |
| Industrial Hygiene Conference | 0.622288 |
| chemical protective clothing | 0.540539 |
| Wiley Interscience Publishers | 0.490846 |
| West Conshohocken | 0.413379 |
| Ind Hyg Assoc | 0.907569 |
| Mark F. Boeniger | 0.46731 |
| Birmingham DJ | 0.405387 |
| Chemical protective gloves | 0.708034 |
| American Industrial Hygiene | 0.621559 |
| neoprene glove materials | 0.498584 |
| Public Health Service | 0.468067 |
| small business employers | 0.463639 |
| Clayton GD | 0.412352 |
| Boeniger MF | 0.508126 |
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Association of Behavioral Risk Factors for Chronic Diseases With Physical and Mental Health in European Adults Aged 50 Years or Older, 2004–2005 |
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. |
| mental health status | 0.578179 |
| mental health | 0.773439 |
| higher prevalence | 0.353251 |
| higher odds | 0.364968 |
| complex sample design | 0.354634 |
| functional limitations | 0.326167 |
| Body mass index | 0.308594 |
| health status components | 0.347173 |
| moderate-to-vigorous physical activity | 0.320236 |
| self-rated health | 0.309578 |
| daily living | 0.374 |
| retirement status | 0.293581 |
| obesity | 0.29245 |
| highest mean number | 0.347297 |
| behavioral risk factors | 0.386299 |
| BRFs | 0.530094 |
| risk factors | 0.439321 |
| World Health Organization | 0.30864 |
| mental health components | 0.328357 |
| European Depression Scale | 0.309724 |
| mean number | 0.443703 |
| instrumental activities | 0.354821 |
| poorest physical health | 0.315279 |
| chronic disease | 0.353219 |
|
| disease symptoms | 0.569992 |
| survey | 0.299574 |
| sample design procedure | 0.305338 |
| women | 0.287389 |
| ADL limitations | 0.534684 |
| adults | 0.350249 |
| higher mean number | 0.365806 |
| chronic lung disease | 0.310637 |
| self-reported body weight | 0.366072 |
| overweight | 0.364741 |
| participants | 0.341328 |
| chronic respiratory disease | 0.29146 |
| multiple BRFs | 0.305742 |
| physical health status | 0.35011 |
| chronic disease symptoms | 0.304201 |
| chronic diseases | 0.955881 |
| heavy home labor | 0.311389 |
| primary health care | 0.303698 |
| risky alcohol consumption | 0.73162 |
| mean numbers | 0.298249 |
| physical activity | 0.359476 |
| high blood pressure | 0.519995 |
| significantly higher odds | 0.345299 |
| mental health limitations | 0.298872 |
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Keeping Workers Safe |
Studying workers’ sizes and shapes and how they perform tasks can prevent injury on the job. CDC offers manufacturers, employers, and others with research and important resources for improving the workspaces, machines, vehicles, and personal protective equipment of workers. |
| 3D digital scanning | 0.584428 |
| CDC’s research | 0.716209 |
| construction workers | 0.541798 |
| CDC | 0.768856 |
| engineering anthropometric research | 0.72553 |
| anthropometry | 0.990214 |
| accurate anthropometric data | 0.678684 |
| CDC’s studies | 0.610197 |
| research findings | 0.560033 |
| decades-old data | 0.557102 |
| 30-foot long trailer | 0.595925 |
| diverse worker population | 0.625097 |
| truck drivers | 0.72718 |
| work-related injuries | 0.523053 |
| engineering anthropometry | 0.955764 |
| personal protective equipment | 0.841542 |
| medical service workers | 0.633265 |
| law enforcement officers | 0.597869 |
| onsite Anthropometry Lab | 0.847104 |
| body sizes | 0.525234 |
| Anthropometry Labs | 0.737785 |
| physical measures | 0.626198 |
| industrial workers | 0.546826 |
| CDC’s Prevention | 0.623719 |
| anthropometric data | 0.797704 |
|
| meat processing workers | 0.627485 |
| U.S. making stops | 0.592235 |
| body types | 0.521325 |
| new respirator facepieces | 0.625509 |
| proper fitting PPE | 0.660333 |
| anthropometry research | 0.822921 |
| larger upper bodies | 0.598597 |
| service partners | 0.593219 |
| head-and-face anthropometry | 0.770897 |
| first-ever federal summary | 0.609303 |
| firefighter anthropometry publications | 0.858224 |
| National Institute | 0.527417 |
| Truck manufacturers | 0.534677 |
| farm tractor-cab layout | 0.592886 |
| Computer-generated human models | 0.589955 |
| average U.S. population,2 | 0.611236 |
| high resolution scans | 0.581987 |
| driver anthropometry data | 0.889417 |
| past data | 0.546766 |
| truck cabs | 0.529067 |
| data collection | 0.536645 |
| fall-arrest harness systems | 0.595495 |
| important resources | 0.52915 |
| Mobile Anthropometry Lab | 0.963384 |
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| 14048 |
Centers for Disease Control and Prevention |
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E-cigarette Ads and Youth Infographics |
null |
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Centers for Disease Control and Prevention |
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Multistate Outbreak of Salmonella Muenchen Infections Linked to Alfalfa Sprouts Produced by Sweetwater Farms | February 2016 | Salmonella |
Multistate Outbreak of Salmonella Muenchen Infections Linked to Alfalfa Sprouts Produced by Sweetwater Farms |
| Salmonella | 0.437798 |
| PulseNet | 0.296873 |
| ill person | 0.29798 |
| Public health investigators | 0.331697 |
| national database | 0.273019 |
| contaminated seeds | 0.270479 |
| regulatory officials | 0.346669 |
| outbreak case count | 0.281526 |
| likely source | 0.274174 |
| Salmonella Muenchen infections | 0.30117 |
| possible outbreaks | 0.277835 |
| outbreak | 0.339444 |
| DNA fingerprinting | 0.274187 |
| U.S. Food | 0.27656 |
| Kansas Department | 0.310526 |
| traceback investigations | 0.310585 |
| Salmonella Cubana | 0.332023 |
| median age | 0.273746 |
| brand alfalfa sprouts | 0.341696 |
| public health partners | 0.266056 |
| alfalfa sprouts | 0.813702 |
| public health officials | 0.392152 |
| pulsed-field gel electrophoresis | 0.342619 |
| national subtyping network | 0.34154 |
| ill people | 0.983971 |
|
| Salmonella bacteria | 0.307631 |
| multistate outbreak | 0.293567 |
| FDA | 0.270605 |
| Collaborative investigative efforts | 0.329952 |
| regulatory agency laboratories | 0.336194 |
| Drug Administration | 0.280551 |
| food regulatory agency | 0.334182 |
| CDC PulseNet database | 0.268909 |
| Salmonella infections | 0.277932 |
| multiple states | 0.271102 |
| public health | 0.595679 |
| additional ill people | 0.304868 |
| outbreak strain | 0.284801 |
| Sweetwater Farms | 0.708858 |
| Salmonella Kentucky | 0.33566 |
| Case Count Map | 0.271978 |
| DNA fingerprint | 0.308448 |
| contaminated sprouts | 0.298503 |
| possibly eating sprouts | 0.386783 |
| local public health | 0.318893 |
| irrigation water | 0.315721 |
| DNA fingerprints | 0.274399 |
| Salmonella Muenchen | 0.428571 |
| federal public health | 0.324017 |
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Centers for Disease Control and Prevention |
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Actividad física para todos - Especiales CDC - CDC en Español |
Todos necesitan hacer actividad física para tener buena salud. Sin embargo, casi la mitad de los adultos con discapacidades que pueden hacer actividad física, no la hacen. Infórmese sobre cómo las personas con discapacidades pueden integrar la actividad física en sus vidas. |
| Archivo Apple Quicktime | 0.301948 |
| Centro Nacional | 0.306877 |
| estado fÃsico | 0.34234 |
| cinta caminadora | 0.301672 |
| centros nacionales | 0.303566 |
| Archivo Microsoft PowerPoint | 0.302063 |
| Archivo Adobe PDF | 0.301917 |
| Buen Estado FÃsico | 0.303068 |
| Archivo Microsoft | 0.305662 |
| Archivo Microsoft Word | 0.302044 |
|
| Fundación Lakeshore | 0.301663 |
| actividad fÃsica | 0.998888 |
| Mes Nacional | 0.301468 |
| siguientes semanas | 0.301413 |
| Usa silla | 0.302017 |
| Archivo Zip Comprimido | 0.301926 |
| diabetes tipo | 0.301563 |
| Archivo Microsoft Excel | 0.301892 |
| Defectos Congénitos | 0.301314 |
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