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Centers for Disease Control and Prevention |
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Chromium metal - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6122 |
Centers for Disease Control and Prevention |
Html |
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CDC - Have You Heard? Facts from the Field - STLT Gateway |
Have You Heard? Facts From The Field is a weekly feature from the Office for State, Tribal, Local and Territorial Support to provide CDC and the field with facts and news from state, tribal, local and territorial public health agencies. |
| Office | 0.449492 |
| prevention activities | 0.651356 |
| quality policies | 0.649724 |
| nation | 0.443068 |
| gold medal | 0.905408 |
| largest cities | 0.662297 |
| gold standard | 0.652372 |
| kinds | 0.440265 |
| facts | 0.52871 |
| honors | 0.443365 |
| first-ever health policy | 0.907271 |
| stringent indoor air | 0.887389 |
| assessment | 0.443131 |
| food grading systems | 0.89145 |
| PDF | 0.443735 |
| Midwestern city | 0.656306 |
| high marks | 0.854802 |
| action | 0.442772 |
| healthy city | 0.638162 |
| state | 0.484628 |
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| FAQs | 0.443841 |
| email | 0.446118 |
| Submission Guidelines | 0.667138 |
| news | 0.449052 |
| weekly CDC feature | 0.88843 |
| well-being | 0.450012 |
| safe transportation | 0.64834 |
| policy areas | 0.867314 |
| Chicago | 0.441357 |
| Local | 0.443374 |
| agencies | 0.448797 |
| tribal | 0.484548 |
| CityHealth initiative | 0.66203 |
| Territorial Support | 0.752881 |
| restaurant grading | 0.679784 |
| field | 0.528627 |
| lasting impact | 0.672105 |
| Los Angeles | 0.657499 |
| information | 0.449225 |
| young adult tobacco | 0.853561 |
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| 6633 |
Centers for Disease Control and Prevention |
Html |
en |
Recommended Adult Immunization Schedule - United States, 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. |
| meningococcal vaccine | 0.562312 |
| Vaccine Injury Compensation | 0.536978 |
| specific vaccine recommendations | 0.577001 |
| Tdap vaccine | 0.568905 |
| age group | 0.592236 |
| Severe allergic reaction | 0.676027 |
| adults | 0.55326 |
| vaccine status | 0.534788 |
| HPV vaccine | 0.86499 |
| health-care personnel | 0.681847 |
| pregnant women | 0.600783 |
| quadrivalent HPV vaccine | 0.571306 |
| meningococcal conjugate vaccine | 0.605033 |
| HPV vaccine recommendation | 0.595879 |
| HPV4 vaccine | 0.542655 |
| zoster vaccine | 0.569456 |
| measles vaccine | 0.535965 |
| additional information | 0.582713 |
| HPV vaccine bar | 0.702137 |
| varicella vaccine | 0.588061 |
| influenza vaccine | 0.673075 |
| ACIP vaccine recommendations | 0.6333 |
| hepatitis B vaccine | 0.577596 |
| vaccine component | 0.62253 |
|
| vaccine series | 0.54663 |
| Vaccine Adverse Event | 0.53627 |
| single-antigen varicella vaccine | 0.557773 |
| Single-antigen vaccine formulations | 0.53928 |
| Vaccine package inserts | 0.538397 |
| bivalent HPV vaccine | 0.571507 |
| persons | 0.73053 |
| vaccine | 0.991686 |
| dose | 0.76482 |
| inactivated influenza vaccine | 0.57369 |
| travel vaccine requirements | 0.554343 |
| adult immunization schedule | 0.555689 |
| attenuated influenza vaccine | 0.555427 |
| previous dose | 0.636572 |
| influenza vaccine footnote | 0.594204 |
| mumps vaccine | 0.535028 |
| pneumococcal polysaccharide vaccine | 0.570883 |
| single dose | 0.540048 |
| HIV infection | 0.539549 |
| age | 0.736296 |
| MMR vaccine | 0.711642 |
| meningococcal polysaccharide vaccine | 0.605185 |
| adult vaccine providers | 0.573934 |
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| 6733 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - China |
Global health resources and links for China. |
| Field Epidemiology Training | 0.722118 |
| development statistical bulletin | 0.634507 |
| latent TB infection | 0.645273 |
| CDC | 0.668765 |
| Chinese Field Epidemiology | 0.725968 |
| infectious diseases | 0.647121 |
| Africa CDC | 0.634906 |
| human disease burden | 0.651856 |
| pregnant women | 0.688398 |
| novel influenza viruses | 0.777468 |
| two-way health communication | 0.65863 |
| pandemic influenza preparedness | 0.670414 |
| China enhances efforts | 0.658677 |
| infectious disease outbreaks | 0.634055 |
| evidence-based immunization recommendations | 0.629367 |
| risk factors control | 0.648299 |
| extensive field work | 0.640865 |
| diastolic blood pressures | 0.632787 |
| risk communication | 0.679459 |
| public health leaders | 0.674031 |
| influenza program | 0.69325 |
| internationally-based quality control | 0.641432 |
| quality HIV treatment | 0.635897 |
| public health officials | 0.659653 |
| risk communication theory | 0.642513 |
|
| public health experts | 0.677864 |
| graduated CFETP residents | 0.642693 |
| international public health | 0.704653 |
| influenza surveillance | 0.62883 |
| Chinese public health | 0.774634 |
| global health security | 0.913013 |
| high- risk region | 0.652695 |
| health threat | 0.639933 |
| public health priorities | 0.703148 |
| Epidemiology Training Program | 0.729538 |
| outbreak investigations | 0.632211 |
| Health Organization China | 0.698139 |
| international health emergency | 0.669643 |
| fatty acid control | 0.630956 |
| public health burden | 0.680415 |
| China | 0.7572 |
| Chinese health hotline | 0.670488 |
| high disease burdens | 0.644249 |
| public health | 0.862287 |
| infection control practices | 0.639028 |
| Chinese national influenza | 0.696149 |
| national HIV/AIDS policy | 0.635213 |
| EID program assists | 0.643857 |
| West Africa | 0.638346 |
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| 9358 |
Centers for Disease Control and Prevention |
Html |
es |
Estrategias para un programa piloto de promoción de salud mamaria en la población chinoaustraliana |
CDC - Wide Page example description goes here |
| White K | 0.601131 |
| Roydhouse JK | 0.611522 |
| Salud Pública | 0.564154 |
| mujeres inmigrantes | 0.942783 |
| programa piloto | 0.565675 |
| Kwok C | 0.612013 |
|
| breast health promotion | 0.773887 |
| restaurante chino | 0.561684 |
| D’Abrew N | 0.606068 |
| Año Nuevo Chino | 0.68038 |
| Chronic Dis | 0.61655 |
|
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| 11592 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Ebola Surge - 2014 | Media Statement - Fact Sheet | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Ebola epidemic | 0.640124 |
| CDC Director | 0.742315 |
| CDC | 0.9675 |
| Innovating. CDC | 0.72143 |
| emergency operations | 0.626838 |
| CDC Foundation | 0.718257 |
| public health teams | 0.629183 |
| Global Disaster Response | 0.590508 |
| infection control | 0.58368 |
| health information | 0.569374 |
| health communication. CDC | 0.78542 |
| Ebola outbreak | 0.673543 |
| world. CDC | 0.720769 |
| infection control guidance | 0.576943 |
| sick travelers | 0.573323 |
| Emergency Operations Centers | 0.589118 |
| daunting public health | 0.637228 |
| multiple U.S. government | 0.593307 |
| single missed contact | 0.583909 |
| CDC Foundation. | 0.71824 |
| health care workers | 0.674444 |
| CDC’s history. | 0.740971 |
| public health advisors | 0.611301 |
| Emergency operations teams | 0.590692 |
|
| airline staff concerns | 0.573513 |
| public health | 0.728375 |
| public health organizations | 0.653525 |
| CDC staff | 0.718724 |
| World Health Organization | 0.620937 |
| U.S. health care | 0.615169 |
| laboratory networks | 0.588731 |
| health emergency response | 0.632391 |
| care systems. CDC | 0.765105 |
| Foreign Disaster Assistance | 0.582236 |
| safe patient triage | 0.581234 |
| Assistance Response Team | 0.597139 |
| Ebola outbreaks | 0.62701 |
| CDC Atlanta headquarters | 0.791083 |
| Africa Ebola response | 0.685299 |
| West Africa | 0.833582 |
| infection control training | 0.580058 |
| incident management expertise | 0.584126 |
| international outbreak response | 0.623641 |
| Ebola patients | 0.610735 |
| suspected Ebola | 0.608239 |
| Ebola | 0.694125 |
| West African countries | 0.598399 |
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| 12064 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Identifying Sources of Children™s Consumption of Junk Food in Boston After-School Programs, April"May 2011 - CDC |
Little is known about how the nutrition environment in after-school settings may affect children’s dietary intake. We measured the nutritional quality of after-school snacks provided by programs participating in the National School Lunch Program or the Child and Adult Care Food Program and compared them with snacks brought from home or purchased elsewhere (nonprogram snacks). We quantified the effect of nonprogram snacks on the dietary intake of children who also received program-provided snacks during after-school time. Our study objective was to determine how different sources of snacks affect children’s snack consumption in after-school settings. |
| consuming nonprogram snacks | 0.45692 |
| after-school program | 0.475644 |
| after-school program level | 0.407762 |
| dietary intake assessment | 0.405216 |
| foods | 0.489513 |
| daily calorie intake | 0.425123 |
| snack consumption | 0.463342 |
| significantly higher consumption | 0.393325 |
| program-provided snacks | 0.685707 |
| total calories | 0.543533 |
| School Lunch Program | 0.410842 |
| children | 0.733499 |
| after-school settings | 0.462611 |
| snack type | 0.386525 |
| Snack intake | 0.417983 |
| OSNAP intervention | 0.388519 |
| after-school snack period | 0.49893 |
| body mass index | 0.385785 |
| children’s snacks | 0.475502 |
| sugary foods | 0.394631 |
| healthful snack | 0.384533 |
| after-school time | 0.387661 |
| Smart Snacks | 0.419169 |
| after-school programs | 0.636668 |
| nonprogram snack | 0.730635 |
|
| Boston Public Schools | 0.385997 |
| nonprogram snacks | 0.97928 |
| National School Lunch | 0.400708 |
| after-school snacks | 0.530749 |
| study | 0.411964 |
| federal snack programs | 0.413841 |
| calorie intake | 0.437473 |
| after-school snack periods | 0.464133 |
| after-school program time | 0.408545 |
| children’s snack | 0.456657 |
| servings | 0.390727 |
| dietary intake | 0.57213 |
| healthier snack consumption | 0.406629 |
| program-provided snack | 0.476077 |
| sugar-sweetened beverages | 0.662829 |
| nutritional quality | 0.393211 |
| Care Food Program | 0.408737 |
| after-school snack | 0.562665 |
| salty snacks | 0.466784 |
| added sugars | 0.462761 |
| after-school snack programs | 0.481856 |
| after-school program directors | 0.412476 |
| snack foods | 0.399188 |
| federal snack reimbursement | 0.414202 |
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| 12353 |
Centers for Disease Control and Prevention |
Html |
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Embarazada con diabetes: la historia de Erin | Especiales CDC |
Aunque tenga diabetes, puede tener un bebé saludable. Tendrá que ser más cuidadosa tanto antes de embarazarse como durante el embarazo. Sepa cómo prepararse y lea la historia de una madre. |
| Archivo Apple Quicktime | 0.696327 |
| Archivo Zip Comprimido | 0.691247 |
| signos os sÃntomas | 0.716957 |
| Archivo Microsoft PowerPoint | 0.715047 |
| Archivo Adobe PDF | 0.691899 |
|
| Archivo Microsoft Excel | 0.688116 |
| Colegio Estadounidense | 0.617906 |
| Archivo Microsoft | 0.972431 |
| Archivo Microsoft Word | 0.711681 |
|
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| 15389 |
Centers for Disease Control and Prevention |
Html |
en |
Mammography Rates for Breast Cancer Screening: A Comparisonof First Nations Women and All Other Women Living in Manitoba,Canada, 1999-2008 |
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. |
| Manitoba Health | 0.528683 |
| bilateral mammogram | 0.521267 |
| AOM women | 0.88945 |
| FN women experience | 0.563801 |
| AI/AN women | 0.490765 |
| FN principles | 0.507005 |
| breast-cancer screening program | 0.502501 |
| FN people | 0.536492 |
| screening program mammogram | 0.538835 |
| FN individuals | 0.517212 |
| breast screening | 0.53543 |
| American Indian women | 0.51907 |
| cervical cancer screening | 0.506869 |
| federal Indian Registry | 0.504396 |
| FN populations | 0.50827 |
| Manitoba Health Population | 0.506585 |
| FN women | 0.958224 |
| 3-year screening rate | 0.49035 |
| Fewer FN women | 0.574095 |
| Manitoba women | 0.532178 |
| Breast cancer mortality | 0.495934 |
| mobile screening program | 0.498731 |
| Indian Registry | 0.524463 |
| Manitoba | 0.635393 |
|
| cancer screening practices | 0.520891 |
| mobile screening | 0.505376 |
| cancer screening rates | 0.57411 |
| Canadian breast screening | 0.523945 |
| FN file | 0.517419 |
| screening program | 0.581556 |
| Manitoba FN communities | 0.573365 |
| mobile screening van | 0.493556 |
| Community Health Sciences | 0.502341 |
| breast cancer screening | 0.887131 |
| CancerCare Manitoba | 0.578328 |
| mobile screening site | 0.499491 |
| breast cancer | 0.949678 |
| health | 0.535906 |
| Breast cancer deaths | 0.495735 |
| mammography rates | 0.561823 |
| alaska native women | 0.513974 |
| Manitoba Chiefs Health | 0.502179 |
| bowel cancer screening | 0.508348 |
| Manitoba Health Research | 0.507434 |
| et al | 0.516124 |
| breast cancer incidence | 0.512878 |
| screening mammogram | 0.512499 |
| FN groups | 0.528085 |
|
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| 16443 |
Centers for Disease Control and Prevention |
Html |
en |
Pathways to Health: Association Between Trail Use, WeightStatus, and Self-Rated Health Among Adults in Greenville County,South Carolina, 2014 |
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 | 0.506485 |
| meeting PA recommendations | 0.475098 |
| trail access points | 0.509166 |
| trail access point | 0.50543 |
| South Carolina. 2University | 0.48252 |
| odds ratio | 0.487956 |
| institutional review board | 0.478913 |
| South Carolina | 0.702717 |
| pleasing natural environment | 0.475951 |
| Prevention Research Center | 0.474913 |
| trail | 0.67456 |
| health outcomes | 0.502633 |
| vs normal weight | 0.486213 |
| Health Promotion | 0.486424 |
| 21-mile paved rail-trail | 0.481223 |
| various active behaviors | 0.483303 |
| community resources | 0.476664 |
| self-rated health | 0.954072 |
| weight status | 0.809433 |
| trail nonusers | 0.55992 |
| Greenville Health | 0.478402 |
| vital community resources | 0.474613 |
| S. Morgan Hughey | 0.470201 |
| substantial health benefits | 0.503246 |
|
| Area Transportation Study | 0.474792 |
| trail resources | 0.477993 |
| Greenville County | 0.531843 |
| overall health | 0.519805 |
| South Carolina. | 0.496081 |
| body mass index | 0.481393 |
| high self-rated health | 0.653962 |
| adult weight status | 0.505204 |
| South Carolina. 3University | 0.482433 |
| trail users | 0.557501 |
| health status | 0.475078 |
| healthier weight status | 0.570692 |
| college degree | 0.475711 |
| Arnold School | 0.495044 |
| higher self-rated health | 0.629172 |
| high school diploma | 0.553975 |
| residential phone numbers | 0.472513 |
| Swamp Rabbit Trail | 0.50653 |
| survey | 0.470385 |
| important community features | 0.492083 |
| Furman University | 0.482048 |
| Environmental Protection Agency | 0.471655 |
| South Carolina. 4Furman | 0.482298 |
|
CLICK HERE |