| 7482 |
Centers for Disease Control and Prevention |
Html |
en |
Healthy Housing Reference Manual - Chapter 5: Indoor Air Pollutants and Toxic Materials |
NCEH provides leadership to promote health and quality of life by preventing or controlling those diseases, birth defects, or disabilities resulting from interaction between people and the environment. Site has information/education resources on a broad range of topics, including asthma, birth defects, radiation, sanitation, lead in blood, and more. |
| airborne mold contaminants | 0.78907 |
| Mold Standards | 0.779125 |
| mold contamination problems | 0.804144 |
| different mold species | 0.800007 |
| mold contamination investigations | 0.792188 |
| house dust mites | 0.853096 |
| lung cancer | 0.822974 |
| Breathing asbestos fibers | 0.779558 |
| children | 0.82003 |
| mold spores | 0.817027 |
| mold growth | 0.870755 |
| mold remediation efforts | 0.786836 |
| soil air entry | 0.78118 |
| indoor environmental asthma | 0.798634 |
| intrinsic asthma | 0.787787 |
| asthma | 0.812385 |
| harmful indoor air | 0.792714 |
| indoor air pollutants | 0.869163 |
| exposure | 0.825226 |
| mold contamination | 0.812229 |
| indoor formaldehyde levels | 0.781815 |
| health effects | 0.82264 |
| asbestos | 0.837904 |
| air conditioning | 0.788606 |
|
| United States | 0.848387 |
| asbestos fibers | 0.825148 |
| mold abatement strategies | 0.78996 |
| asbestos material | 0.827123 |
| asbestos exposure | 0.790341 |
| airborne mold spores | 0.795378 |
| indoor air pollution | 0.865799 |
| low indoor air | 0.792278 |
| indoor mold distributions | 0.816397 |
| indoor air contaminants | 0.792292 |
| Mold Assessment Methods | 0.795949 |
| biologic pollutants | 0.804029 |
| outdoor air | 0.818795 |
| toxin-producing mold | 0.778434 |
| house dust mite | 0.803763 |
| outdoor air samples | 0.780804 |
| indoor air | 0.979081 |
| home | 0.816652 |
| mold problems | 0.803142 |
| mold exposure | 0.79473 |
| mold contamination extent | 0.789396 |
| Air pollutant levels | 0.797583 |
| single mold species | 0.799174 |
| levels | 0.803659 |
|
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| 7549 |
Centers for Disease Control and Prevention |
Html |
en |
Chikungunya Outbreak - Cambodia, February-March 2012 |
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. |
| chikungunya outbreak | 0.794807 |
| Public health agencies | 0.713331 |
| Cambodia | 0.779449 |
| National Malaria Center | 0.709499 |
| recent flavivirus infection | 0.710841 |
| Reunion Island outbreak | 0.712127 |
| local health centers | 0.719794 |
| Kampong Speu Province | 0.707414 |
| Kampong Speu | 0.74213 |
| CHIKV Asian strain | 0.72947 |
| Medical Research Unit | 0.953968 |
| U.S. Naval Medical | 0.773093 |
| Ae. albopictus | 0.734987 |
| IgM seroprevalence | 0.857291 |
| infected Aedes mosquitoes | 0.70941 |
| East/Central/South African strain | 0.776134 |
| CHIKV-positive cases | 0.70746 |
| positive PCR results | 0.711731 |
| CHIKV IgM-positive prevalence | 0.730337 |
| onset date | 0.738198 |
| health planning efforts | 0.762237 |
| age groups | 0.743967 |
| persons | 0.791686 |
| CHIKV outbreak | 0.759506 |
|
| Naval Medical Research | 0.950994 |
| CHIKV IgM | 0.832389 |
| Disease Control Department | 0.712736 |
| Institut Pasteur | 0.750346 |
| CHIKV | 0.911524 |
| current self-reported symptoms | 0.717023 |
| Phnom Penh | 0.846952 |
| anti-CHIKV IgM | 0.714581 |
| age group | 0.790799 |
| asymptomatic CHIKV infection | 0.745426 |
| chikungunya virus | 0.798895 |
| village residents | 0.759646 |
| Public Health Unit | 0.714618 |
| polymerase chain reaction | 0.838374 |
| cases | 0.738638 |
| CHIKV serologic study | 0.73061 |
| joint pains | 0.759003 |
| chikungunya reemergence | 0.788795 |
| chikungunya virus infection | 0.768117 |
| debilitating joint pains | 0.70529 |
| Communicable Disease Control | 0.786998 |
| clinical attack rate | 0.75226 |
| new variant chikungunya | 0.755087 |
| CHIKV IgM seroprevalence | 0.79312 |
|
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| 7605 |
Centers for Disease Control and Prevention |
Html |
en |
Multistate Meningitis Outbreak: Healthcare Facilities |
HAIs are associated with a variety of causes, including the use of medical devices, such as catheters and ventilators, complications following a surgical procedure, transmission between patients and healthcare workers, or the result of antibiotic overuse. |
| multistate outbreak | 0.715267 |
| treatment | 0.445329 |
| Center | 0.445492 |
| CDC | 0.46906 |
| vials | 0.467804 |
| patients | 0.539331 |
| tainted steroid injections | 0.976515 |
| complete list | 0.64211 |
| patient recovery | 0.65537 |
|
| BUD | 0.620338 |
| methylprednisolone acetate | 0.651696 |
| health care facilities | 0.840394 |
| New England Compounding | 0.895623 |
| infections | 0.544169 |
| clinicians | 0.67352 |
| relevant materials | 0.65122 |
| page | 0.443383 |
| web resources | 0.680139 |
|
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| 8164 |
Centers for Disease Control and Prevention |
Html |
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DHDSP - Heart Disease Prevention: What You Can Do |
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| healthy diet | 0.401532 |
| plaque | 0.255739 |
| CDC | 0.320621 |
| health care provider | 0.580606 |
| arteries | 0.259416 |
| Tobacco Use Web | 0.28679 |
| high blood cholesterol | 0.483482 |
| Limit alcohol | 0.290602 |
| excess body fat | 0.522067 |
| high cholesterol | 0.413065 |
| heart conditions | 0.298246 |
| blood pressure | 0.794107 |
| body mass index | 0.380051 |
| healthy range | 0.305078 |
| Activity Program Web | 0.53362 |
| Public Health Web | 0.365706 |
| blood sugar levels | 0.359518 |
| Weight Web site | 0.375367 |
| different types | 0.291865 |
| nutrition | 0.251681 |
| fresh fruits | 0.300921 |
| medical conditions | 0.284596 |
| Physical Activity Program | 0.538208 |
| hip measurements | 0.292847 |
| Web site | 0.673908 |
|
| simple blood test | 0.366342 |
| Program Web site | 0.529034 |
| healthful meal | 0.307722 |
| moderate-intensity exercise | 0.291568 |
| High levels | 0.292742 |
| insulin | 0.277651 |
| snack options | 0.302255 |
| cholesterol levels | 0.341581 |
| regular basis | 0.282479 |
| heart disease | 0.961152 |
| lower cholesterol | 0.362373 |
| healthy weight | 0.385958 |
| Talk | 0.241544 |
| Cigarette smoking | 0.28922 |
| Coronary artery disease | 0.376827 |
| fat-like substance | 0.287453 |
| doctor | 0.262612 |
| Surgeon General | 0.293874 |
| high blood pressure | 0.732418 |
| cholesterol deposits | 0.350703 |
| treatment options | 0.279646 |
| information | 0.272753 |
| risk | 0.271814 |
| diabetes | 0.290604 |
|
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| 11794 |
Centers for Disease Control and Prevention |
Html |
en |
Announcement: National Teen Driver Safety Week - October19-25, 2014 |
During 2003–2012, the number of teens aged 13–19 years who died in motor vehicle crashes declined by 50%, from 5,718 to 2,823 (1). During the same period, the rate of passenger vehicle drivers aged 16–19 years involved in fatal crashes decreased by 52%, from 35.1 to 16. |
| Smith GS | 0.533276 |
| fatal crash rates | 0.662856 |
| Human Services | 0.624773 |
| greater participation | 0.53183 |
| MMWR HTML versions | 0.637636 |
| U.S. Department | 0.621893 |
| Teen Driver Safety | 0.913135 |
| electronic PDF version | 0.626007 |
| youngest drivers | 0.554873 |
| Key campaign website | 0.650419 |
| teen crash deaths | 0.723987 |
| high-risk conditions | 0.542111 |
| Inj Prev | 0.559227 |
| Additional information | 0.533617 |
| crash risk | 0.55202 |
| Contact GPO | 0.551878 |
| good role models | 0.660492 |
| commercial sources | 0.529209 |
| current prices | 0.526309 |
| teen drivers | 0.704018 |
| original paper copy | 0.63186 |
| encouraging trends | 0.539171 |
| seat belts | 0.53761 |
| parents | 0.485292 |
|
| Coben JH | 0.550771 |
| passenger vehicle crashes | 0.724806 |
| U.S. Government Printing | 0.637804 |
| original MMWR paper | 0.633453 |
| learning-to-drive process | 0.537073 |
| teens | 0.469411 |
| longer practice periods | 0.644601 |
| driver licensing | 0.655789 |
| parent-teen driving agreement | 0.655352 |
| MMWR readers | 0.535831 |
| character translation | 0.523403 |
| GDL programs | 0.710232 |
| Traffic Safety Administration | 0.649109 |
| National Teen Driver | 0.913244 |
| format errors | 0.523552 |
| fatal crashes | 0.620548 |
| passenger vehicle drivers | 0.706129 |
| typeset documents | 0.530096 |
| trade names | 0.529293 |
| official text | 0.522022 |
| seat belt | 0.537361 |
| non-CDC sites | 0.528375 |
| motor vehicle crashes | 0.992599 |
| electronic conversions | 0.520909 |
|
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| 12237 |
Centers for Disease Control and Prevention |
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Notes from the Field: Aseptic Meningitis Outbreak Associatedwith Echovirus 30 Among High School Football Players - Los AngelesCounty, California, 2014 |
Curtis Croker, MPH1, Rachel Civen, MD1, Kathleen Keough2, Van Ngo, MPH1, Amy Marutani1, Benjamin Schwartz, MD1 (Author affiliations at end of text). |
| affected high school | 0.246978 |
| Public Health | 0.293448 |
| School staff members | 0.426178 |
| county high school | 0.315486 |
| United States | 0.241557 |
| Los Angeles County | 0.534241 |
| emergency department visit | 0.282414 |
| negative bacterial culture | 0.274567 |
| varsity football team | 0.292796 |
| nonpolio enterovirus serotypes | 0.319322 |
| aseptic meningitis outbreaks | 0.433905 |
| polymerase chain reaction | 0.267637 |
| Rickettsial Disease Laboratory | 0.278182 |
| Summer football league | 0.262262 |
| 1Acute Communicable Disease | 0.293577 |
|
| outbreak-associated aseptic meningitis | 0.473626 |
| aseptic meningitis cases | 0.516239 |
| emergency department | 0.290083 |
| Communicable Disease Control | 0.744662 |
| relative risk | 0.250624 |
| poor hand hygiene | 0.240604 |
| Disease Control Program | 0.702814 |
| water bottles | 0.332153 |
| aseptic meningitis outbreak | 0.44802 |
| Acute Communicable Disease | 0.571449 |
| Angeles County Department | 0.528217 |
| football players | 0.506685 |
| proper hand hygiene | 0.246777 |
| cerebrospinal fluid pleocytosis | 0.287202 |
|
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| 13477 |
Centers for Disease Control and Prevention |
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Prevention and Control of Influenza with Vaccines: Recommendations of the Advisory Committee on Immunization Practices, United States, 2015 | 16 Influenza Season |
Lisa A. Grohskopf, MD1; Leslie Z. Sokolow, MSc, MPH1,2; Sonja J. |
| ACIP Influenza Work | 0.574329 |
| licensed influenza vaccines | 0.573904 |
| influenza vaccine product | 0.599297 |
| quadrivalent influenza vaccine | 0.634145 |
| Influenza Vaccine Effectiveness | 0.588543 |
| inactivated influenza vaccines | 0.573275 |
| U.S. seasonal influenza | 0.598765 |
| influenza disease | 0.52758 |
| various influenza vaccine | 0.635509 |
| live attenuated influenza | 0.563985 |
| vaccine virus | 0.487265 |
| children | 0.523345 |
| IIV vaccine effectiveness | 0.498535 |
| trivalent influenza vaccines | 0.577797 |
| available influenza vaccines | 0.569935 |
| advisory committee | 0.484043 |
| stratis injector | 0.499218 |
| Lisa A. Grohskopf | 0.48171 |
| Quadrivalent influenza vaccines | 0.576377 |
| influenza illness | 0.526986 |
| influenza vaccine products | 0.65703 |
| seasonal influenza vaccines | 0.650334 |
| predominant influenza | 0.527004 |
|
| influenza vaccine | 0.912459 |
| influenza season | 0.594367 |
| influenza vaccines | 0.787697 |
| influenza activity | 0.541006 |
| well-matched influenza viruses | 0.543888 |
| Vaccine Dose Considerations | 0.499903 |
| recombinant influenza vaccine | 0.631828 |
| influenza vaccine components | 0.583611 |
| Vaccine Adverse Event | 0.483236 |
| H3N2 influenza viruses | 0.543477 |
| egg-based influenza vaccines | 0.558499 |
| influenza complications | 0.519485 |
| influenza virus circulation | 0.567306 |
| ACIP recommendations | 0.491809 |
| inactivated influenza vaccine | 0.645584 |
| Influenza Division | 0.513869 |
| influenza viruses | 0.582268 |
| annual influenza vaccination | 0.576821 |
| influenza B virus | 0.548428 |
| influenza virus | 0.570039 |
| culture-confirmed influenza | 0.547353 |
| LAIV4 vaccine effectiveness | 0.491004 |
|
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| 13536 |
Centers for Disease Control and Prevention |
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Body Mass Index and Poor Self-Rated Health in 49 Low-Incomeand Middle-Income Countries, By Sex, 2002&ndash2004 |
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. |
| Public Health | 0.266342 |
| educational attainment | 0.303401 |
| high-income countries | 0.255846 |
| BMI misclassification | 0.281844 |
| body image problems | 0.256432 |
| poor health | 0.283957 |
| Self-rated general health | 0.295933 |
| body weight | 0.264078 |
| sexes | 0.26128 |
| multivariable adjusted regression | 0.25737 |
| primary school | 0.256783 |
| Figure. Sex-specific associations | 0.260003 |
| UCLA Fielding School | 0.254505 |
| high BMI | 0.372972 |
| World Health Survey | 0.4561 |
| 5-point Likert scale | 0.262877 |
| cross-sectional World Health | 0.290964 |
| marital status | 0.262046 |
| smoking status | 0.258707 |
| ideal body types | 0.256082 |
| global health data | 0.278223 |
| secondary school | 0.261433 |
| excess weight | 0.296522 |
|
| sex differences | 0.267188 |
| BMI | 0.468763 |
| obese class | 0.261226 |
| health promotion programs | 0.287325 |
| Health Survey data | 0.28699 |
| middle-income countries | 0.806883 |
| World Health Organization | 0.289492 |
| Health Policy Research | 0.275687 |
| good health | 0.257799 |
| body mass index | 0.391036 |
| U-shaped associations | 0.2602 |
| self-related health | 0.277249 |
| multilevel logistic regressions | 0.331335 |
| Onyebuchi A. Arah | 0.255206 |
| immune deficiency syndrome | 0.254182 |
| poor self-rated health | 0.913551 |
| Charles E. Young | 0.254884 |
| objective health | 0.261743 |
| human immunodeficiency virus | 0.253918 |
| low-income countries | 0.582559 |
| Los Angeles | 0.313265 |
| self-reported height | 0.26419 |
|
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| 13755 |
Centers for Disease Control and Prevention |
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Bring Your Own Brave Campaign - Genetic Counselor (1024W x 512H) |
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CLICK HERE |
| 13779 |
Centers for Disease Control and Prevention |
Html |
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La temporada de la influenza estÁ a la vuelta de la esquina |
Todas las personas mayores de 6 meses deben recibir la vacuna contra la influenza cada año. Después de recibir la vacuna, el cuerpo tarda unas dos semanas para proporcionar toda su protección contra la influenza (gripe). ¡Vacúnense antes de que termine el mes de octubre, para protegerse y proteger a sus seres queridos! |
| vacunación ayuda | 0.550296 |
| Archivo Apple Quicktime | 0.532789 |
| corta duración | 0.487376 |
| Archivo RealPlayer | 0.482004 |
| revista pediatrics | 0.496817 |
| alto riesgo | 0.960847 |
| Archivo Microsoft PowerPoint | 0.542658 |
| Archivo Adobe PDF | 0.530805 |
| amplias investigaciones | 0.484002 |
|
| diabetes mellitus | 0.499294 |
| amplia gama | 0.4922 |
| Estados Unidos | 0.929735 |
| Archivo Microsoft | 0.668985 |
| Archivo Microsoft Word | 0.54127 |
| Archivo Zip Comprimido | 0.531735 |
| Archivo Microsoft Excel | 0.530922 |
| Asociación Médica Estadounidense | 0.528834 |
|
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