| 6033 |
Centers for Disease Control and Prevention |
Html |
en |
Chloroacetaldehyde - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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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CLICK HERE |
| 6314 |
Centers for Disease Control and Prevention |
Html |
en |
Demographic and Geographic Differences in Exposure to Secondhand Smoke in Missouri Workplaces, 2007-2008 |
null |
| breathing smoke | 0.352732 |
| education | 0.338714 |
| smokefree workplace law | 0.665511 |
| smokefree workplace laws | 0.513192 |
| significant differences | 0.3605 |
| statewide smokefree law | 0.364707 |
| local smokefree law | 0.358457 |
| smokefree workplace restrictions | 0.385445 |
| Overall exposure | 0.337711 |
| smoke exposure persist | 0.403009 |
| final model | 0.339744 |
| smoking status | 0.406853 |
| education level | 0.33865 |
| model | 0.364311 |
| smokefree environments | 0.347808 |
| Saint Louis | 0.363135 |
| tobacco smoke | 0.34778 |
| comprehensive smokefree ordinances | 0.35215 |
| smoke exposure variable | 0.392495 |
| smokefree law | 0.38027 |
| standardized residuals | 0.371144 |
| local smokefree laws | 0.35364 |
| smokefree workplaces | 0.363484 |
| significant LR test | 0.344702 |
| smokefree workplaces laws | 0.358212 |
|
| local workplace law | 0.368637 |
| smoke exposure rates | 0.388384 |
| workplace exposure | 0.379365 |
| high school graduate | 0.339732 |
| disproportionate exposure | 0.343768 |
| multilevel model | 0.336728 |
| smokefree workplace policy | 0.391586 |
| young white men | 0.345637 |
| Missourians | 0.350888 |
| small rural areas | 0.346875 |
| smokefree workplace ordinances | 0.377871 |
| Missouri | 0.376348 |
| Missouri County-Level Study | 0.353171 |
| statewide smokefree workplace | 0.461738 |
| workplace smoking restrictions | 0.355181 |
| annual income | 0.338971 |
| secondhand smoke exposure | 0.99861 |
| workplace secondhand smoke | 0.666626 |
| health | 0.357082 |
| comprehensive smokefree workplaces | 0.350457 |
| people | 0.348024 |
| comprehensive smokefree workplace | 0.42644 |
| involuntary exposure | 0.338077 |
| highest exposure category | 0.346154 |
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| 6434 |
Centers for Disease Control and Prevention |
Html |
en |
H5N1 in Birds and Other Animals |
Highly pathogenic avian influenza A (H5N1) in birds and other animals - CDC |
| HPAI H5 viruses | 0.204273 |
| HPAI H5N1 viruses | 0.328684 |
| new virus | 0.200072 |
| avian influenza | 0.339776 |
| pathogenic* avian influenza | 0.216471 |
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| avian influenza genes | 0.204567 |
| Asian HPAI H5N1 | 0.581728 |
| H5N1 viral RNA | 0.250702 |
| H5N1 virus infections | 0.348155 |
| H5N1 virus infection | 0.438956 |
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CLICK HERE |
| 7682 |
Centers for Disease Control and Prevention |
Html |
en |
Contact CDC |
Contact CDC: Find Your Answer Quickly, The answers to the most common questions we receive can be found on our website. Please check the CDC A-Z Index before contacting us with a question. |
| treatment | 0.341869 |
| list Skip | 0.860287 |
| CDC | 0.364988 |
| page options Skip | 0.99 |
| health care provider | 0.976542 |
| patients | 0.342305 |
| medical emergency | 0.521029 |
| nearest emergency room | 0.746013 |
|
| contact your state | 0.538308 |
| medication | 0.359881 |
| ambulance | 0.361815 |
| specialists | 0.341476 |
| navigation Skip | 0.86981 |
| local health department | 0.705279 |
| police | 0.343721 |
| immediate assistance | 0.580185 |
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CLICK HERE |
| 9561 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | The Health and Welfare of Rural and Urban Cancer Survivors in Missouri - CDC |
An estimated 2.8 million cancer survivors reside in rural areas in the United States. We compared the risk behaviors, psychosocial factors, health outcomes, quality of life, and follow-up care of rural and urban cancer survivors in Missouri. |
| sociodemographic factors | 0.488377 |
| cancer treatment | 0.520925 |
| frequent physical distress | 0.520146 |
| rural cancer survivors | 0.685899 |
| rural counties | 0.483319 |
| Risk Factor Surveillance | 0.485433 |
| significant differences | 0.478618 |
| 3adjusted for sociodemographic characteristics and access to medical | 0.527877 |
| sociodemographic differences | 0.503192 |
| urban survivors | 0.97069 |
| follow-up cancer checkups | 0.480214 |
| health outcomes | 0.528225 |
| model | 0.507135 |
| frequent activity limitation | 0.479744 |
| rural areas | 0.524288 |
| health behaviors | 0.482957 |
| Fewer rural survivors | 0.550041 |
| survivorship care | 0.593478 |
| household income categories | 0.505923 |
| body mass index | 0.481166 |
| survivorship care plan | 0.589679 |
| cancer survivorship questions | 0.482095 |
| health status | 0.506114 |
| rural controls | 0.587225 |
|
| survivors | 0.976903 |
| cancer survivors | 0.940487 |
| sociodemographic characteristics | 0.780142 |
| survivorship care plans | 0.558106 |
| United States | 0.494218 |
| health care insurance | 0.493943 |
| differences | 0.535011 |
| Missouri cancer survivors | 0.553264 |
| county-level data | 0.480717 |
| prevalence | 0.500238 |
| activity limitations | 0.485025 |
| frequent activity | 0.480654 |
| cancer follow-up care | 0.52638 |
| poor self-reported health | 0.503572 |
| health | 0.64734 |
| medical care | 0.646528 |
| chronic conditions | 0.718272 |
| physical activity | 0.657066 |
| psychosocial factors | 0.482578 |
| urban controls | 0.566508 |
| behavioral risk factor | 0.528713 |
| nonmelanoma skin cancer | 0.511543 |
| urban cancer survivors | 0.680475 |
| rural survivors | 0.921749 |
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| 9604 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Synopsis: September 26, 2013 | CDC Media Relations |
CDC Media Relations - MMWR News Synopsis: September 19, 2013 |
| 2012-13 influenza season | 0.490271 |
| New York Office | 0.235959 |
| severe adverse events | 0.202405 |
| CDC guidance | 0.204208 |
| United States | 0.26736 |
| vaccination requirements | 0.263102 |
| large local health | 0.219316 |
| controversial detoxification method | 0.204928 |
| territorial health departments | 0.215512 |
| rapid opiate detoxification | 0.204901 |
| vaccination coverage | 0.452765 |
| public health surveillance | 0.21942 |
| pregnant women | 0.455361 |
| hospitalization. Influenza vaccination | 0.461667 |
| New York City | 0.767622 |
| health departments | 0.360755 |
| local health departments | 0.359961 |
|
| long-term care facilities | 0.380951 |
| seasonal influenza | 0.23088 |
| New York State | 0.243766 |
| New York health | 0.272998 |
| influenza vaccination | 0.958267 |
| Influenza vaccination rates | 0.490559 |
| local public health | 0.229936 |
| York City Department | 0.612321 |
| evidence-based options | 0.2211 |
| HCP | 0.224993 |
| York City clinic | 0.223844 |
| high risk | 0.326388 |
| opioid dependence treatment | 0.219087 |
| CDC Media Relations | 0.820394 |
| public health agencies | 0.33156 |
| opioid dependence | 0.243445 |
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| 12264 |
Centers for Disease Control and Prevention |
Html |
en |
Business Sector and CDC |
CDC touches American businesses in many ways and there are multiple opportunities to collaborate. Learn how to connect with CDC and access resources available to businesses. |
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CLICK HERE |
| 13223 |
Centers for Disease Control and Prevention |
Video |
en |
Managing Patient Safety, One Injection at a Time |
Infections are costly. Patients' lives, your accreditation status, your certification, and your licenses are all at stake. The One & Only Campaign, a public health effort to eliminate unsafe medical injections, created this short video to help you make healthcare safer, one injection at a time.
Order FREE Materials from CDC http://ow.ly/ym93W
Go to the OneandOnlyCampaign.org for more information |
| Patient Safety | 0.954952 |
| Time | 0.594751 |
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CLICK HERE |
| 13870 |
Centers for Disease Control and Prevention |
Html |
en |
Association Between Student Body Mass Index and Access toSports Drinks in Minnesota Secondary Schools,2012&ndash2013 |
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. |
| school settings | 0.675531 |
| School-level data | 0.668599 |
| secondary school students | 0.746318 |
| school policy research | 0.707391 |
| School Lunch Program | 0.735405 |
| sex-adjusted BMI percentile | 0.692917 |
| school competitive food | 0.687387 |
| sport drinks | 0.708357 |
| energy drinks | 0.726219 |
| school-aged youth | 0.692118 |
| body mass index | 0.718731 |
| Health Policy Center | 0.669781 |
| school vending machines | 0.751543 |
| school health policies | 0.70713 |
| national surveillance data | 0.668896 |
| student access | 0.699397 |
| School regulation | 0.670228 |
| school-level BMI percentile | 0.736981 |
| National School Lunch | 0.735414 |
| school obesity prevention | 0.699314 |
| public school districts | 0.695007 |
| weight gain | 0.68789 |
| school stores | 0.709733 |
| fruit drinks | 0.753121 |
| School-level demographic characteristics | 0.731953 |
|
| ecologic study | 0.667433 |
| non–low-fat salty snacks | 0.707145 |
| School Obesity-Related Policy | 0.715936 |
| student body mass | 0.728242 |
| individual student responses | 0.666369 |
| Minnesota secondary schools | 0.724335 |
| Minnesota Student Survey | 0.723774 |
| school food environment | 0.693015 |
| sugar-sweetened beverages | 0.684812 |
| secondary school setting | 0.704772 |
| school sample | 0.666633 |
| sports drinks | 0.969253 |
| middle school students | 0.711039 |
| soda pop/fruit drinks | 0.720836 |
| School Breakfast Program | 0.685161 |
| high school students | 0.71109 |
| School location | 0.669325 |
| School standards | 0.667275 |
| school policy | 0.83339 |
| school obesity-related policies | 0.686954 |
| student weight | 0.699562 |
| school policy data | 0.718265 |
| snack foods | 0.735429 |
| Minnesota School Health | 0.713316 |
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| 14348 |
Centers for Disease Control and Prevention |
Html |
en |
Learn About Cronobacter Infection | CDC Features |
In infants, Cronobacter infection can cause a very rare, but serious illness. Learn what you can do to help lower the risk of infection from powdered infant formula. |
| Store Infant Feeding | 0.330495 |
| alcohol-based hand sanitizer | 0.292208 |
| dangerous blood infections | 0.372384 |
| unused formula | 0.31368 |
| powdered infant formula | 0.847647 |
| infections | 0.387326 |
| liquid formula | 0.410982 |
| young infants | 0.250917 |
| Cronobacter infections | 0.370084 |
| infants | 0.351354 |
| Crononbacter infections | 0.24272 |
| Practice proper hygiene | 0.254749 |
| infant formula | 0.931008 |
|
| feeding items | 0.29895 |
| breast pump parts | 0.267219 |
| store feeding items | 0.283307 |
| powdered formula lids | 0.501256 |
| water | 0.27408 |
| powdered milk | 0.231168 |
| hand sanitizer | 0.396581 |
| breast pump | 0.287901 |
| Cronobacter germs | 0.772118 |
| urinary tract infections | 0.332488 |
| baby | 0.388154 |
| prepared formula | 0.322792 |
|
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