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Centers for Disease Control and Prevention |
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Diethyl phthalate - NIOSH Pocket Guide to Chemical Hazards |
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| DOC | 0.368812 |
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Centers for Disease Control and Prevention |
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CDC study shows suicidal thoughts and behavior vary among U.S. adults - Press Release: October 20, 2011 |
CDC study shows suicidal thoughts and behavior vary among U.S. adults |
| United States. | 0.568387 |
| suicide-related thoughts | 0.566402 |
| public health policies | 0.615262 |
| evidence-based prevention interventions | 0.621066 |
| Disease Control | 0.573314 |
| visit http://www2.sprc.org/bpr/section-i-evidence-based-programs | 0.562654 |
| suicide planning | 0.737837 |
| suicide attempt | 0.749254 |
| risk factors | 0.560832 |
| Injury Prevention | 0.570398 |
| suicide | 0.976116 |
| current report | 0.566279 |
| suicidal behavior | 0.576805 |
| National Suicide Prevention | 0.817042 |
| adverse health consequences. | 0.611807 |
| new data | 0.566496 |
| young adults | 0.57799 |
| Linda C. Degutis | 0.610298 |
| prevention strategies | 0.604765 |
| nonfatal behavior | 0.566799 |
| prevention purposes | 0.567587 |
| suicide attempts.In | 0.719495 |
| United States | 0.573966 |
| adults | 0.618969 |
| CDC′s National Center | 0.613423 |
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| National Survey | 0.568484 |
| Substance Abuse | 0.564633 |
| suicide risk | 0.723243 |
| percent | 0.657918 |
| public education campaigns | 0.60679 |
| Suicide Prevention Lifeline | 0.822192 |
| suicide visit Reporting | 0.776022 |
| Rocky Mountain states | 0.613467 |
| Rhode Island | 0.699353 |
| Thomas M. Frieden | 0.628281 |
| Possible suicide prevention | 0.780516 |
| Suicide rates | 0.734675 |
| Prevention Lifeline Web | 0.617856 |
| suicide range | 0.771682 |
| SAMHSA Administrator Pam | 0.626587 |
| cognitive-behavioral therapy | 0.608113 |
| suicide plans | 0.795911 |
| people | 0.561088 |
| suicidal thoughts | 0.70351 |
| public health problem | 0.627846 |
| Mental Health Services | 0.627165 |
| preventable tragedy | 0.567694 |
| Western states | 0.563609 |
| suicide attempts | 0.808586 |
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Centers for Disease Control and Prevention |
Html |
es |
Implementación del programa de control de peso ¡MUÉVETE! en la Administración de Salud de Veteranos, 2007-2010: Un estudio cualitativo |
CDC - Wide Page example description goes here |
| weight-management program | 0.764636 |
| múltiples enfermedades | 0.727435 |
| alto riesgo | 0.728136 |
| qualitative study | 0.841298 |
| Kahwati LC | 0.789596 |
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| Chronic Dis | 0.797559 |
| Veterans Health Administration | 0.972732 |
| Haynes-Maslow L | 0.77099 |
| Kinsinger LS | 0.827915 |
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Centers for Disease Control and Prevention |
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Study of Flu Related Deaths in Children Shows Even Healthy Children at Risk |
This CDC spotlight article summarizes key findings and public health recommmendations related to a CDC study on flu-related deaths in children. |
| seasonal flu vaccination | 0.76324 |
| overall message | 0.519011 |
| CDC study | 0.563692 |
| H1N1 pandemic virus | 0.618396 |
| children | 0.988986 |
| tragic impact | 0.544754 |
| U.S. children | 0.563371 |
| flu vaccination | 0.773862 |
| high risk condition | 0.608467 |
| healthy children | 0.808154 |
| CDC’s recommendation | 0.549055 |
| results | 0.449929 |
| addition | 0.448149 |
| journal Pediatrics | 0.544392 |
| flu illness | 0.637632 |
| flu antiviral drugs | 0.746808 |
| study period | 0.530841 |
| prompt medical care | 0.61847 |
| emergency department | 0.525737 |
| bacterial co-infections | 0.633276 |
| medical conditions | 0.515793 |
| high risk | 0.690846 |
| parents | 0.441456 |
| flu symptoms | 0.633675 |
| hospital admission | 0.517261 |
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| study | 0.574656 |
| 2011-2012 seasons | 0.509361 |
| United States | 0.65236 |
| Staph infections | 0.520814 |
| Pediatrics website | 0.517412 |
| flu-related deaths | 0.767142 |
| flu complications | 0.643157 |
| CDC’s recommendations | 0.528214 |
| course | 0.425469 |
| one-third | 0.437433 |
| high-risk condition | 0.523451 |
| flu seasons | 0.670965 |
| underlying health conditions | 0.63648 |
| adherence | 0.424691 |
| flu disease | 0.680041 |
| flu | 0.919586 |
| home | 0.422808 |
| risk medical condition | 0.599435 |
| antiviral treatment | 0.615114 |
| Influenza-Associated Pediatric Deaths | 0.915783 |
| fewest deaths | 0.59817 |
| Nearly half | 0.510068 |
| 2011-12 season | 0.515358 |
| severe illness | 0.513892 |
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Centers for Disease Control and Prevention |
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Women's Safety and Health Issues at Work: Health Concerns: Cancer - NIOSH Workplace Safety and Health Topic |
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| glutathione S-transferase T1 | 0.739816 |
| possible link | 0.814084 |
| U.S. flight attendants | 0.758886 |
| proportionate lung cancer | 0.769409 |
| glioma risk | 0.649171 |
| cancer deaths | 0.684896 |
| non-white workers | 0.66586 |
| farm pesticide exposure | 0.85769 |
| American seafood workers | 0.813886 |
| case-control study | 0.684725 |
| shoe manufacturing facilities | 0.72394 |
| formaldehyde exposure | 0.873608 |
| mortality data | 0.695989 |
| M1 genotype | 0.634516 |
| fewer deaths | 0.664916 |
| noncancer mortality | 0.750723 |
| complete data | 0.632125 |
| earlier age | 0.968178 |
| tobacco smoke exposure | 0.838581 |
| sister chromatid exchanges | 0.724482 |
| dry-cleaning workers | 0.737585 |
| study | 0.845038 |
| capacitor manufacturing facilities | 0.73417 |
| female flight attendants | 0.757513 |
| previous study | 0.661522 |
|
| thyroid gland | 0.632763 |
| Hemoglobin adducts | 0.643975 |
| occupational exposure | 0.776573 |
| industry sector workers | 0.774179 |
| Cause-specific mortality | 0.72129 |
| Occupational lung cancer | 0.772213 |
| update study | 0.6726 |
| ethylene oxide | 0.768213 |
| heart disease | 0.635596 |
| hospital workers | 0.662455 |
| seafood processing plants | 0.769862 |
| cancer mortality risks | 0.869127 |
| particularly black women | 0.77182 |
| hazardous substances | 0.759838 |
| breast cancer risk | 0.783492 |
| study group | 0.68636 |
| cancer-causing agent | 0.631718 |
| breast cancer | 0.955793 |
| garment workers | 0.651751 |
| reduced blood supply | 0.746867 |
| lung cancer death | 0.894843 |
| EtO sterilizer | 0.693778 |
| Workplace exposures | 0.650009 |
| stomach cancer | 0.687439 |
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Centers for Disease Control and Prevention |
Html |
en |
Birth Defects & Developmental Disabilities |
For the millions of Americans with birth defects, disabilities, and blood disorders, a happy, healthy life can be challenging to realize. |
| blood disorders | 0.715287 |
| CDC | 0.252991 |
| healthy life | 0.483173 |
| husband | 0.311029 |
| prevents | 0.257983 |
| program | 0.248757 |
| screening—pulse oximetry—that | 0.44158 |
| pregnant women | 0.488999 |
| medications | 0.249252 |
| Cora | 0.941699 |
| simple screening | 0.431571 |
| family members | 0.465042 |
| developmental disabilities | 0.453707 |
| pulse oximetry | 0.452629 |
| antibody | 0.251852 |
| lives | 0.252345 |
| genetic inhibitor | 0.46499 |
| Americans | 0.247305 |
| early identification | 0.458664 |
| congenital heart defect | 0.684702 |
| unborn babies | 0.495996 |
| undetected congenital heart | 0.989691 |
| gene mutations | 0.738154 |
| early morning | 0.442297 |
| millions | 0.255363 |
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| programs | 0.252436 |
| support | 0.248565 |
| congenital heart defects | 0.658523 |
| coroner | 0.323134 |
| treatment | 0.247646 |
| new law | 0.42649 |
| hemophilia worldwide | 0.483944 |
| prevention efforts | 0.483928 |
| health services | 0.469605 |
| normal pregnancy | 0.459295 |
| congenital heart disease | 0.660271 |
| researches autism | 0.481833 |
| hospital | 0.300353 |
| complications | 0.250213 |
| Kristine | 0.252291 |
| families | 0.248618 |
| heart defect | 0.828761 |
| birth defects | 0.486588 |
| people | 0.252401 |
| home | 0.24847 |
| Signs | 0.251635 |
| genetic testing | 0.455671 |
| risk | 0.251905 |
| Learn | 0.251658 |
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Centers for Disease Control and Prevention |
Image |
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International Road Safety (300W x 496H) |
null |
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Centers for Disease Control and Prevention |
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First-of-its-Kind PSA Campaign Targets the 86 Million American Adults with Prediabetes | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| normal blood glucose | 0.257882 |
| radio PSAs | 0.200168 |
| people’s naivety | 0.204738 |
| American Medical Association | 0.68532 |
| Mather New York | 0.294068 |
| necessary lifestyle changes | 0.382957 |
| type | 0.220938 |
| National Diabetes Prevention | 0.412053 |
| risk test | 0.296542 |
| American public | 0.203056 |
| Disease Control | 0.262897 |
| Cannes Lions Network | 0.228088 |
| PSA campaign | 0.20514 |
| O&M services Fortune | 0.227721 |
| prediabetes tests | 0.211996 |
| health care providers | 0.256226 |
| U.S. health protection | 0.246794 |
| health care | 0.32672 |
| New York | 0.335973 |
| prevention program | 0.258039 |
| premier national organization | 0.23891 |
| health care communications | 0.249774 |
| saving lives | 0.239582 |
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| industry leading units | 0.231942 |
| prediabetes | 0.287542 |
| largest marketing communications | 0.238082 |
| pressing social issues | 0.231922 |
| Mather Advertising New | 0.27295 |
| tremendous positive change | 0.234006 |
| people | 0.313438 |
| public service campaigns | 0.236551 |
| lifestyle tips | 0.240503 |
| CDC’s Division | 0.203697 |
| Ad Council | 0.855107 |
| Diabetes Translation Research | 0.406851 |
| Ogilvy | 0.258074 |
| health condition | 0.207428 |
| Chief Creative Officer | 0.233009 |
| Humorous PSAs | 0.200572 |
| public service advertising | 0.277211 |
| American Diabetes Association | 0.926095 |
| first-of-its-kind communications techniques | 0.266649 |
| CDC Media Relations | 0.262725 |
| AMA President-Elect Andrew | 0.255575 |
| Association funds research | 0.265448 |
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Centers for Disease Control and Prevention |
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How to Conduct Store Observations of Tobacco Marketing and Products |
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. |
| store observation instrument | 0.253498 |
| North Carolina | 0.251191 |
| tobacco cravings | 0.273212 |
| data collectors | 0.757745 |
| store observation data | 0.547612 |
| tobacco control groups | 0.377039 |
| public health practitioners | 0.274787 |
| observation data collectors | 0.28242 |
| youth tobacco | 0.255494 |
| tobacco retail environment | 0.330437 |
| store observation | 0.567999 |
| simulated store observations | 0.263631 |
| tobacco | 0.699638 |
| Tobacco Assessment | 0.255073 |
| comprehensive tobacco control | 0.285468 |
| tobacco store lists | 0.413403 |
| store observation measures | 0.2665 |
| tobacco industry | 0.30105 |
| tobacco products | 0.674668 |
| data quality | 0.245858 |
| California Tobacco Control | 0.284899 |
| POS store observations | 0.307797 |
| tobacco marketing materials | 0.283949 |
| tobacco control staff | 0.332367 |
| store observations | 0.910079 |
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| ground truthing | 0.2584 |
| electronic data collection | 0.321374 |
| menthol tobacco products | 0.314351 |
| tobacco stores | 0.526215 |
| tobacco product retailer | 0.313547 |
| tobacco marketing | 0.356934 |
| National Cancer Institute | 0.249494 |
| tobacco store observations | 0.540004 |
| public health | 0.315062 |
| geographic area | 0.280916 |
| tobacco retailers | 0.257982 |
| Store observation projects | 0.261001 |
| training data collectors | 0.31031 |
| price data | 0.242387 |
| tobacco control program | 0.325136 |
| data collection | 0.511152 |
| tobacco companies | 0.299249 |
| business lists | 0.287142 |
| smokeless tobacco | 0.272972 |
| Community Tobacco Control | 0.368166 |
| store observation questions | 0.261762 |
| tobacco control interventions | 0.320532 |
| Tobacco Control Initiative | 0.355698 |
| tobacco control | 0.507722 |
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FIGURE 1. Influenza vaccine dosing algorithm for children aged 6 months through 8 years - Advisory Committee on Immunization Practices, United States, 2015-16 influenza season* |
Vaccinating Children Algorithm (Figure 1) - CDC |
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