| 5762 |
Centers for Disease Control and Prevention |
Html |
en |
Morpholine - 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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| 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 |
| 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 |
|
| 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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| 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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| 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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| 10529 |
Centers for Disease Control and Prevention |
Html |
en |
Email Updates: January 3, 2012'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| CDC | 0.932809 |
| Local leaders | 0.418806 |
| great time | 0.403343 |
| Emergency Preparedness | 0.446638 |
| recovery measures | 0.410324 |
| CDC website | 0.623382 |
| interactive sessions | 0.409322 |
| Weekly Flu View | 0.509053 |
| risk communication principles | 0.504797 |
| EID Home Page | 0.503293 |
| multi-state outbreaks | 0.424745 |
| non-Federal organizations | 0.403658 |
| TB prevention | 0.451189 |
| Preparedness Summit pre-session | 0.54134 |
| 122-Cities Mortality Reporting | 0.480095 |
| best partnership-communications practices | 0.500868 |
| winter emergencies | 0.410737 |
| weather-related health problems | 0.536239 |
| extremely cold weather | 0.49242 |
| action plan | 0.411635 |
| extreme cold-weather conditions | 0.491249 |
| Carbon Monoxide | 0.404685 |
| Environmental Public Health | 0.553456 |
| Winter Sports | 0.417012 |
| foodborne illness cases | 0.466984 |
|
| Winter Weather | 0.418405 |
| New Media Outreach | 0.501378 |
| flu vaccine | 0.416778 |
| COCA Email Update | 0.512279 |
| Infectious disease outbreaks | 0.505915 |
| MMWR weekly reports | 0.485369 |
| TB program staff | 0.530269 |
| Building Support | 0.410087 |
| health care workers | 0.893107 |
| CDC Current Outbreak | 0.688043 |
| public cooperation | 0.425031 |
| Communications Planning | 0.410218 |
| Specific Hazards preparedness | 0.536828 |
| Dec | 0.409613 |
| Health Partners Outreach | 0.548055 |
| preventive action | 0.405963 |
| food safety systems | 0.471899 |
| in-person training centers | 0.493941 |
| Tracking Network | 0.40624 |
| Public Health Preparedness | 0.703939 |
| best defense | 0.405198 |
| Health Preparedness Summit | 0.698798 |
| warmer weather | 0.403095 |
| news conference | 0.415831 |
|
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| 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 |
| 13602 |
Centers for Disease Control and Prevention |
Html |
en |
Prostate Cancer Awareness |
Prostate cancer is the most common non-skin cancer and the second leading cause of cancer death among American men. Prostate cancers usually grow slowly. Most men with prostate cancer are older than 65 years and do not die from the disease. Finding and treating prostate cancer before symptoms occur may not improve your health or help you live longer. |
| American men | 0.46624 |
| semen | 0.453429 |
| abnormal results | 0.459262 |
| Task Force | 0.459087 |
| U.S. Preventive Services | 0.509106 |
| CDC | 0.411693 |
| urine | 0.451882 |
| prostate gland | 0.605802 |
| false negative results | 0.502319 |
| urethra | 0.418306 |
| body | 0.413263 |
| walnut-sized organ | 0.472039 |
| recommendations | 0.424183 |
| right decision | 0.45895 |
| men | 0.543974 |
| Prostate cancers | 0.597141 |
| penis | 0.416109 |
| fluid | 0.412873 |
| man | 0.41153 |
| federal agencies | 0.460111 |
| disease | 0.4123 |
| greater chance | 0.458473 |
|
| greater his risk | 0.459225 |
| different symptoms | 0.461239 |
| night | 0.411761 |
| prostate specific antigen | 0.621401 |
| health | 0.412194 |
| -based screening | 0.464596 |
| blood | 0.411726 |
| way | 0.411762 |
| symptoms | 0.467729 |
| doctor | 0.424326 |
| difficulty | 0.412021 |
| prostate cancer | 0.957245 |
| tube | 0.411966 |
| prostate cancer— | 0.573591 |
| PSA test | 0.518019 |
| tests | 0.423562 |
| bladder | 0.414725 |
| organizations | 0.411591 |
| frequent urination | 0.47311 |
| interrupted flow | 0.465531 |
| rectum | 0.418578 |
|
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| 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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