| 5745 |
Centers for Disease Control and Prevention |
Html |
en |
Welding fumes - 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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| 7484 |
Centers for Disease Control and Prevention |
Html |
en |
Clean Water for Health Program - Water-related Research |
The Health Studies Branch (HSB) leads CDC’s Clean Water for Heath Program (CWH), focuses on drinking water sources that are not regulated by the Safe Drinking Water Act. CWH conducts activities in three areas: water-related exposure and outcome research, the Private Well Initiative, and technical assistance and outbreak response. |
| population health risks | 0.662013 |
| past investigations | 0.289762 |
| toxic chemicals | 0.355984 |
| non-infectious contaminants | 0.655257 |
| research findings | 0.289287 |
| drinking water sources | 0.629992 |
| Health Studies Branch | 0.65727 |
| international partners | 0.281665 |
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| surface water | 0.300654 |
|
| hazardous exposures | 0.388627 |
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| impact human health | 0.589151 |
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| health risks | 0.941045 |
| drinking water | 0.914115 |
| investigations focus | 0.290278 |
| Drinking Water contaminants | 0.796079 |
| Common water contaminants | 0.722517 |
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| 8024 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | The Importance of NaturalExperiments in Diabetes Prevention and Control and the Need forBetter Health Policy Research - CDC |
Diabetes has steadily increased in prevalence, becoming one of the nation’s most challenging public health threats. Prevalence among adults is now more than 10%, and diabetes is the leading cause of nontraumatic lower-extremity amputation, end-stage kidney disease, and blindness; it more than doubles the risk of heart disease, stroke, and disability. |
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| Disease Control | 0.752012 |
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| Affordable Care Act | 0.543844 |
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| NEXT-D studies | 0.641133 |
|
| health information technology | 0.582265 |
| major public health | 0.596403 |
| primary prevention strategies | 0.566584 |
| diabetes care quality | 0.695647 |
| diabetes prevalence | 0.662825 |
| Popul Health Metr | 0.57989 |
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| diabetes incidence demand | 0.709502 |
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| multicenter research network | 0.5513 |
| public health | 0.913436 |
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| evidence base | 0.540949 |
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| diabetes health research | 0.757363 |
| diabetes complications | 0.649196 |
| clinical trial evidence | 0.559366 |
| Public Health Service | 0.592455 |
| public health priority | 0.63409 |
| diabetes risk factors | 0.678755 |
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| diabetes | 0.972154 |
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| Diabetes Translation | 0.604296 |
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| 9619 |
Centers for Disease Control and Prevention |
Html |
en |
Asthma - BRFSS 2008 - Prevalence Tables and Maps |
BRFSS 2008 - Prevalence Tables and Maps |
| CDCasthma | 0.468765 |
| Twitter | 0.531587 |
| asthma | 0.725431 |
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| 10401 |
Centers for Disease Control and Prevention |
Html |
en |
Communication Guide for Policy and Environmental Change'State Resources'DHDSP'CDC |
null |
| Environmental Change | 0.655697 |
| Stroke Prevention | 0.807152 |
| Disease Control | 0.607581 |
| disabling | 0.201683 |
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|
| heart disease | 0.990318 |
| new tool | 0.668967 |
| Stroke Addendum | 0.930965 |
| Stroke–free States | 0.662722 |
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| 11434 |
Centers for Disease Control and Prevention |
Video |
en |
Before and After: Ebola Isolation Ward Makes Improvements |
Watch this Before and After Tour of Ebola Isolation Ward safety improvements to compound in Lagos, Nigeria.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html |
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| Ebola Isolation Ward | 0.94043 |
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CLICK HERE |
| 12116 |
Centers for Disease Control and Prevention |
Html |
en |
Acute Flaccid Myelitis | For Clinicians |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
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| page | 0.276773 |
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CLICK HERE |
| 12178 |
Centers for Disease Control and Prevention |
Html |
en |
Global Invasive Bacterial Vaccine-Preventable DiseasesSurveillance - 2008-2014 |
Jillian Murray, MSPH1,2, Mary Agócs, MD1, Fatima Serhan, PhD1, Simarjit Singh, MScIT1, Maria Deloria-Knoll, PhD2, Katherine O'Brien, MD2, Jason M. Mwenda, MD3, Richard Mihigo, MD3, Lucia Oliveira, DSc4, Nadia Teleb, MD, PhD5, Hinda Ahmed, PhD5, Annemarie Wasley, PhD6, Dovile Videbaek, MSc6, Pushpa Wijesinghe, MD7, Arun Bhadra Thapa, MSPH7, Kimberly Fox, MD8, Fem Julia Paladin, PhD8, Rana Hajjeh, MD9, Stephanie Schwartz, MSc9, Chris Van Beneden, MD9, Terri Hyde, MD10, Claire Broome, MD11, Thomas Cherian, MD1 (Author affiliations at end of text). |
| H. influenzae | 0.753737 |
| sentinel hospital sites | 0.843809 |
| Haemophilus influenzae type | 0.743793 |
| childhood immunization programs | 0.743643 |
| Johns Hopkins University | 0.796655 |
| data | 0.937626 |
| chain reaction testing | 0.802806 |
| technical advisory group | 0.819051 |
| web-based data management | 0.746801 |
| Haemophilus influenzae | 0.757409 |
| data tracking hospitalizations | 0.747945 |
| Strategic Advisory Group | 0.88576 |
| PCV impact monitoring | 0.824466 |
| sentinel hospital surveillance | 0.824852 |
| S. pneumoniae | 0.813923 |
| consistent pneumonia case | 0.75523 |
| regional surveillance networks | 0.815369 |
| global reference laboratories | 0.814309 |
| surveillance | 0.951516 |
| vaccine impact | 0.762398 |
| polymerase chain reaction | 0.804874 |
| sentinel hospitals | 0.759687 |
| global surveillance feedback | 0.796382 |
| reference laboratories | 0.883384 |
|
| World Health Organization | 0.819025 |
| data postvaccine introduction | 0.748184 |
| baseline surveillance capacity | 0.777913 |
| meningitis | 0.759966 |
| PCV impact | 0.94285 |
| baseline surveillance data | 0.817104 |
| pneumonia syndromic surveillance | 0.860919 |
| countries | 0.769356 |
| well-characterized clinical data | 0.754353 |
| off-site laboratory data | 0.752717 |
| surveillance platform | 0.748403 |
| new vaccines surveillance | 0.794183 |
| conduct population-based surveillance | 0.794753 |
| bacterial meningitis cases | 0.753516 |
| global IB-VPD surveillance | 0.816737 |
| pediatric pneumonia | 0.754927 |
| IB-VPD surveillance network | 0.904892 |
| Regional Office | 0.825347 |
| external quality assessment | 0.787502 |
| Gavi-eligible countries | 0.762337 |
| laboratory data | 0.754069 |
| in-patient pediatric pneumonia | 0.753841 |
| advisory group | 0.889403 |
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| 13146 |
Centers for Disease Control and Prevention |
Html |
en |
Naegleria fowleri - Sources of Infection - Case-report Data and Graphs |
Graphs and data related to Naegleria fowleri epidemiology. Education and information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals. |
| exposure unknown | 0.638256 |
| pond | 0.431925 |
| general public | 0.571051 |
| CDC | 0.478363 |
| example | 0.429435 |
| natural structures | 0.571563 |
| water (N=1) | 0.70036 |
| PAM cases | 0.70105 |
| play venues/water playgrounds | 0.728773 |
| state | 0.428059 |
| artificial whitewater rivers | 0.718908 |
| median age | 0.614594 |
| N=132 | 0.432412 |
|
| swimming pools | 0.579465 |
| local public health | 0.702312 |
| chlorine | 0.440355 |
| hot tubs/spas | 0.571507 |
| therapeutic purpose | 0.578465 |
| partners | 0.427952 |
| probable water exposures | 0.725816 |
| aquatic venues | 0.913231 |
| well-operated aquatic venues | 0.757505 |
| illness onset | 0.57754 |
| reservoir | 0.433958 |
| male | 0.431492 |
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| 15838 |
Centers for Disease Control and Prevention |
Html |
en |
Pregnant Women Residing in Areas with Active Zika Virus Transmission |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| file | 0.322809 |
| Pregnant Women | 0.8202 |
|
| Risk | 0.323855 |
| ZikaError processing SSI | 0.933228 |
|
CLICK HERE |