| 6013 |
Centers for Disease Control and Prevention |
Html |
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Cobalt carbonyl (as Co) - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
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| 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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| 6962 |
Centers for Disease Control and Prevention |
Html |
en |
Sunburn and Sun Protective Behaviors Among Adults Aged 18-29 Years - United States, 2000-2010 |
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. |
| skin cancer | 0.803658 |
| skin cancer prevention | 0.569932 |
| data | 0.567209 |
| skin cancer cases | 0.566921 |
| long-sleeved shirt | 0.64307 |
| intermittent exposure | 0.556261 |
| sample adult component | 0.554656 |
| SPF number | 0.560567 |
| wide-brimmed hat | 0.828598 |
| shade | 0.585164 |
| Health Interview Survey | 0.56073 |
| age groups | 0.575899 |
| non-melanoma skin cancer | 0.566823 |
| sun protection | 0.693777 |
| persons | 0.570776 |
| chronic sun exposure | 0.579887 |
| protective behaviors | 0.93182 |
| sun protective behavior | 0.623 |
| basal cell carcinoma | 0.605943 |
| ankles | 0.562511 |
| common protective behavior | 0.618495 |
| Dawn M. Holman | 0.590621 |
| Final response rates | 0.554408 |
| common protective behaviors | 0.635406 |
| noninstitutionalized U.S. population | 0.558561 |
|
| sunburn prevalence | 0.649137 |
| sunscreen | 0.646506 |
| important public health | 0.561606 |
| United States | 0.621994 |
| younger adults | 0.583871 |
| age-adjusted incidence rates | 0.558031 |
| sunburn | 0.693449 |
| wide-brimmed hats | 0.604268 |
| sun visor | 0.593784 |
| nonmelanoma skin cancers | 0.610501 |
| sun protection factor | 0.580861 |
| National Cancer Institute | 0.612109 |
| Div Cancer Control | 0.560405 |
| baseball cap | 0.585004 |
| indoor tanning behaviors | 0.566832 |
| NHIS cancer control | 0.565835 |
| sunburn severity | 0.576527 |
| U.S. population | 0.602514 |
| sun protective behaviors | 0.929663 |
| sunburn prevention | 0.57491 |
| long clothing | 0.744639 |
| sunscreen SPF | 0.594836 |
| sun protection methods | 0.575286 |
| time | 0.566633 |
|
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| 9720 |
Centers for Disease Control and Prevention |
Html |
es |
La historia de Mariano - Historias de la vida real - Consejos de exfumadores |
La historia de Mariano, un ex fumador que casi le da un ataque al corazón, es parte de la campaña Consejos de exfumadores de los CDC. |
| Archivo Apple Quicktime | 0.661802 |
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| Archivo Adobe PDF | 0.663195 |
| Archivo Microsoft | 0.967893 |
| Archivo Microsoft Word | 0.693567 |
|
CLICK HERE |
| 10638 |
Centers for Disease Control and Prevention |
Html |
en |
Anthrax'Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
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| PDF | 0.261307 |
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| different file formats | 0.938484 |
| page | 0.276773 |
|
CLICK HERE |
| 10864 |
Centers for Disease Control and Prevention |
Html |
en |
60 percent of America's biggest cities are now smoke-free - November 15, 2012 |
Disparities in breast cancer continue among U.S. women |
| Denver International Airport | 0.476574 |
| nonsmoking adults | 0.333594 |
| effective way | 0.332736 |
| lung cancer | 0.445059 |
| federal policy | 0.330729 |
| Disease Control | 0.352193 |
| CDC’s Office | 0.487617 |
| secondhand smoke | 0.842087 |
| Las Vegas | 0.337553 |
| secondhand smoke. | 0.438906 |
| smoking rooms | 0.930469 |
| International Airport | 0.676632 |
| smoking areas | 0.976995 |
| visit www.BeTobaccoFree.gov | 0.34106 |
| Brian King | 0.328834 |
| risk-free level | 0.340081 |
| large hub U.S. | 0.475795 |
| international commercial airline | 0.450471 |
| visit http://www.cdc.gov/mmwr. | 0.341512 |
| brief exposure | 0.366349 |
| indoor areas | 0.35162 |
| passenger boardings—about | 0.331199 |
| largest airports | 0.476102 |
| health protection agency | 0.434445 |
|
| McCarran International Airport | 0.48695 |
| federal laws | 0.330955 |
| U.S. air | 0.351705 |
| health threats | 0.332361 |
| United States | 0.339072 |
| visit www.smokefree.gov. | 0.341173 |
| Tim McAfee | 0.330259 |
| City International Airport | 0.476211 |
| air pollution levels | 0.722813 |
| smoke-free airports | 0.786887 |
| Average air pollution | 0.486071 |
| heart disease | 0.437198 |
| infant death syndrome | 0.428259 |
| U.S. DEPARTMENT | 0.330564 |
| acute cardiac events | 0.423183 |
| heart disease deaths | 0.433285 |
| visit CDC | 0.375418 |
| Dulles International Airport | 0.48216 |
| secondhand smoke exposure | 0.651046 |
| Hartsfield-Jackson Atlanta International | 0.479535 |
| lung cancer deaths | 0.427707 |
| State Tobacco Activities | 0.413657 |
| state-specific tobacco-related data | 0.430388 |
| visit http://www.cdc.gov/tips | 0.339722 |
|
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| 12320 |
Centers for Disease Control and Prevention |
Html |
en |
Improving Surveillance | CDC Features |
Use the updated Chronic Disease Indicators website to enhance surveillance. |
| chronic disease surveillance | 0.534371 |
| new look | 0.33721 |
| CDC | 0.220826 |
| United States | 0.33481 |
| mental health | 0.313152 |
| release | 0.219785 |
| comprehensive access | 0.323538 |
| CDI | 0.228487 |
| source | 0.221076 |
| environmental indicators | 0.432163 |
| additional emphasis | 0.310734 |
| topic groups | 0.315107 |
| prevalence | 0.225712 |
| new indicators | 0.529204 |
| Chronic Disease Indicators | 0.958043 |
| national levels | 0.319892 |
| joint project | 0.314855 |
| categories | 0.219475 |
| deaths | 0.225302 |
| risk factors | 0.435599 |
| chronic diseases | 0.666115 |
| country level | 0.318406 |
|
| Disease Indicators website | 0.607876 |
| user-friendly website | 0.325803 |
| Chronic Disease Directors | 0.520328 |
| reproductive health | 0.311971 |
| users | 0.239412 |
| National Association | 0.312037 |
| new data | 0.33735 |
| cdc.gov/cdi | 0.221246 |
| available data | 0.312654 |
| chronic disease indicator | 0.517758 |
| online tool | 0.323642 |
| wide spectrum | 0.311167 |
| older adults | 0.310768 |
| Territorial Epidemiologists | 0.330271 |
| public health agencies | 0.419145 |
| conditions | 0.260439 |
| social context | 0.313793 |
| high burden disease | 0.414585 |
| binge drinking frequency | 0.406745 |
| key indicators | 0.463418 |
| large metropolitan areas | 0.425343 |
| wide range | 0.323351 |
|
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| 12965 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Influence of Physical Education on Moderate-to-Vigorous Physical Activity of Urban Public School Children in St. Louis, Missouri, 2011"2014 - CDC |
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. |
| physical education | 0.621027 |
| 50-minute PE class | 0.57935 |
| racial/ethnic minority children | 0.497787 |
| heart rate observations | 0.498455 |
| school | 0.589866 |
| moderate-to-vigorous physical activity | 0.564282 |
| PE classes | 0.577118 |
| 15-second heart rate | 0.609311 |
| physical activity initiatives | 0.488624 |
| physical activity programs | 0.485903 |
| MVPA goals | 0.523033 |
| elementary school children | 0.536899 |
| public elementary school | 0.498583 |
| PE class | 0.848915 |
| PE class time | 0.578901 |
| physical activity intensity | 0.489428 |
| consecutive heart rate | 0.500593 |
| Louis Public Schools | 0.495664 |
| School policies | 0.480253 |
| heart rate values | 0.672718 |
| recess | 0.501079 |
| school physical education | 0.499448 |
| MVPA opportunities | 0.54827 |
| National School Lunch | 0.48992 |
|
| urban public school | 0.530396 |
| public school children | 0.53703 |
| elementary school students | 0.525882 |
| heart rate monitoring | 0.581229 |
| in-school MVPA | 0.579839 |
| Median heart rate | 0.499084 |
| designate PE | 0.537171 |
| PE time requirements | 0.590915 |
| Physical Activity Guidelines | 0.535347 |
| E600 heart rate | 0.503712 |
| daily PE | 0.582183 |
| heart rate value | 0.526346 |
| St. Louis | 0.55057 |
| heart rate | 0.908923 |
| Pedometer-measured physical activity | 0.485744 |
| continuous heart rate | 0.537077 |
| greater physical activity | 0.494291 |
| elementary schools | 0.501366 |
| physical activity | 0.876109 |
| Washington University School | 0.522223 |
| school-based physical activity | 0.550159 |
| inadequate physical activity | 0.505167 |
| daily in-school MVPA | 0.567754 |
| MVPA | 0.659833 |
|
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Centers for Disease Control and Prevention |
Html |
en |
MMWR News Synopsis for April 02, 2015 |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| North Carolina | 0.458661 |
| transportation needs | 0.458075 |
| Preparedness activities | 0.455618 |
| national implementation | 0.502598 |
| white students | 0.46551 |
| community health measures | 0.509421 |
| local driving patterns | 0.510251 |
| Laboratory Results | 0.457323 |
| primary care physician | 0.500376 |
| laboratory information management | 0.500791 |
| New York City | 0.562307 |
| Disease Control | 0.457568 |
| CDC programs | 0.484554 |
| black students | 0.465365 |
| health care personnel | 0.509576 |
| City Health Department | 0.506213 |
| multidrug-resistant intestinal illness | 0.50188 |
| Cipro-resistant Shigella | 0.464151 |
| new study | 0.467763 |
| address health disparities | 0.513846 |
| Thorough handwashing | 0.457573 |
| older teens | 0.46685 |
| teen drivers | 0.455852 |
| Interagency preparedness | 0.455487 |
| public health response | 0.505377 |
|
| laboratory reporting volume | 0.503539 |
| CDC Media Relations | 0.979034 |
| public health agencies | 0.508049 |
| diagnose Ebola cases | 0.529024 |
| electronic laboratory reporting | 0.503884 |
| cancer screening | 0.580098 |
| affordable transportation options | 0.513107 |
| large urban school | 0.507862 |
| U.S. Preventive Services | 0.500541 |
| United States | 0.805458 |
| Shigella sonnei bacteria | 0.508096 |
| different medical problem | 0.499467 |
| percent | 0.496497 |
| lab tests | 0.458203 |
| Hispanic students | 0.463104 |
| new emphasis | 0.456592 |
| health departments | 0.461948 |
| ELR implementation | 0.502688 |
| South Dakota | 0.459085 |
| Electronic Reporting | 0.456507 |
| high school students | 0.518609 |
| cancer screening tests | 0.522444 |
| San Francisco | 0.458743 |
| antibiotic ciprofloxacin | 0.457861 |
|
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| 14390 |
Centers for Disease Control and Prevention |
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Intoxicación con Monóxido de Carbono Preguntas Frecuentes |
Datos sobre la intoxicación por monóxido de carbono |
| altos niveles | 0.526923 |
| Archivo Apple Quicktime | 0.61146 |
| gas inodoro | 0.545537 |
| habitación estén | 0.511239 |
| Archivo Zip Comprimido | 0.606608 |
|
| Archivo Microsoft PowerPoint | 0.630099 |
| Archivo Adobe PDF | 0.607985 |
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| ventanas estén | 0.494318 |
| Archivo Microsoft | 0.911349 |
|
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| 14617 |
Centers for Disease Control and Prevention |
Html |
en |
Public Confidence in the Health Care System 1 Year After theStart of the Ebola Virus Disease Outbreak - Sierra Leone, July 2015| MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Ebola treatment | 0.465527 |
| Leone National Ebola | 0.519316 |
| future Ebola response | 0.480579 |
| overwhelmed health care | 0.422961 |
| Ebola control efforts | 0.504108 |
| Ebola infection | 0.454488 |
| Ebola response capabilities | 0.511938 |
| health promotion campaigns | 0.443921 |
| Ebola outbreak | 0.602343 |
| public health challenges | 0.408971 |
| health care delivery | 0.422694 |
| stronger Ebola response | 0.488023 |
| 5-point Likert scale | 0.451785 |
| Ebola transmission | 0.558146 |
| ebola response | 0.558394 |
| health care facility | 0.549999 |
| active Ebola transmission | 0.522598 |
| health care messages | 0.42338 |
| active districts | 0.455081 |
| global health | 0.41977 |
| Ebola case count | 0.483315 |
| respondents | 0.419909 |
| protracted Ebola epidemic | 0.492145 |
| health care facilities | 0.443051 |
|
| public health practice | 0.419872 |
| Ebola patients | 0.45773 |
| Ebola | 0.846297 |
| global health security | 0.413964 |
| Ebola virus disease | 0.576572 |
| Ebola epidemic | 0.594829 |
| ongoing Ebola transmission | 0.501035 |
| maternity care | 0.448144 |
| Sierra Leone | 0.841357 |
| Ebola cases | 0.581497 |
| higher education levels | 0.425971 |
| Ebola case | 0.500771 |
| health care workers | 0.423889 |
| health care | 0.985234 |
| public confidence | 0.465041 |
| participants | 0.410358 |
| confidence | 0.572797 |
| confidence levels | 0.411277 |
| Ebola incidence | 0.460123 |
| survey measured confidence | 0.413773 |
| Ebola care | 0.529251 |
| higher confidence | 0.478624 |
| Sierra Leone Ministry | 0.420846 |
| important health issues | 0.458061 |
|
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