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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1206	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Prevalence Estimates of Gestational Diabetes Mellitus in the United States, Pregnancy Risk Assessment Monitoring System (PRAMS), 2007"2010 - CDC	The true prevalence of gestational diabetes mellitus (GDM) is unknown. The objective of this study was 1) to provide the most current GDM prevalence reported on the birth certificate and the Pregnancy Risk Assessment Monitoring System (PRAMS) questionnaire and 2) to compare GDM prevalence from PRAMS across 2007–2008 and 2009–2010.	birth certificate data 0.411646 lowest prevalence 0.392095 maternal age 0.350917 PRAMS ascertains 0.37105 highest prevalence 0.398469 PRAMS researchers 0.378411 lower prevalence 0.379772 PRAMS questionnaires 0.393341 PRAMS states 0.386166 Pregnancy Study Groups 0.355299 percent positive agreement 0.356093 significant difference 0.353629 New York City 0.421014 lower GDM prevalence 0.523718 PRAMS excludes women 0.387642 PRAMS working group 0.37891 population-based prevalence estimates 0.418707 GDM rates 0.448762 birth certificate variable 0.363132 true GDM prevalence 0.535356 PRAMS questionnaire 0.480623 highest prevalence estimates 0.391101 gestational diabetes mellitus 0.401577 current GDM prevalence 0.569649 GDM diagnoses 0.449602	PRAMS phase 0.497672 live births 0.361971 GDM diagnosis 0.556422 PRAMS questions 0.379253 lowest prevalence estimate 0.388807 percent negative agreement 0.354942 United States 0.38451 GDM prevalence estimate 0.516013 impaired glucose tolerance 0.352002 true prevalence 0.421021 Pregnancy Risk Assessment 0.363579 gestational diabetes 0.46173 PRAMS data 0.393504 glucose tolerance 0.357932 GDM question 0.477969 diagnostic criteria 0.351994 birth certificate 0.733193 PRAMS 0.530557 GDM likely lies 0.456683 GDM prevalence estimates 0.562984 lowest GDM prevalence 0.530324 CDC PRAMS Team 0.377366 PRAMS survey participants 0.385688 GDM prevalence 0.901141	CLICK HERE
4431	Centers for Disease Control and Prevention	Html	en	Diseases & Conditions A-Z Index - T	CDC Diseases and Conditions A-Z Index	Error processing SSI 0.844474 Whipworm Infection 0.695359 Microsoft PowerPoint file 0.507257 Clostridium tetani Infection 0.787747 processing SSI file 0.840166 (Tuberculosis) 0.79044 [Trichomonas Infection] 0.792526 Microsoft Word file 0.510948 Search Form Controls 0.667279 Sore Throat 0.496332 Francisella tularensis Infection 0.916905 Traumatic Brain Injury 0.632565 Mountain Spotted Fever 0.477934 Tuberculosis Training 0.488865 A-Z Index 0.837326 TB Surveillance Reports 0.713414 Rickettsia rickettsii Infection 0.780994 TB Education 0.718204 Tapeworm Infection 0.778311 (Lockjaw) Infection 0.504767 [Babesia Infection] 0.779905 Conditions A-Z Index 0.733242 Microsoft Excel file 0.505516	Tuberculosis Vaccine 0.482777 Taenia Infection 0.769373 Contact CDC 0.496756 [Toxoplasma Infection] 0.786741 Treponema pallidum Infection 0.770349 Trachoma Infection 0.704529 CDC Topics 0.580114 Search The CDC 0.53959 page options Skip 0.51895 Form Controls TOPIC 0.489686 Thoracic Aortic Aneurysm 0.482725 different file formats 0.508855 [Toxocara Infection] 0.798568 Trypanosoma cruzi Infection 0.764461 TB Testing 0.719772 HIV Coinfection 0.578144 Tuberculosis Skin Test 0.557075 Apple Quicktime file 0.50148 TB Data 0.69168 Mycobacterium tuberculosis Infection 0.85333 CDC A-Z 0.616496 Dipylidium Infection 0.708786 Adobe PDF file 0.502944	CLICK HERE
5334	Centers for Disease Control and Prevention	Html	en	Two-tiered Testing Decision Tree for Lyme Disease	Information on Lyme disease. Provided by the U.S. Centers for Disease Control and Prevention.	Lyme disease 0.668968 figure 0.439517 cases 0.439015 Two-tier Testing Decision 0.919067 IFA 0.46616 IgG Western Blot 0.880123 Enzyme Immunoassay 0.686773 alternative diagnosis 0.626384 IgM Western Blot 0.931599 test yields 0.657426	steps 0.4516 symptoms 0.500039 convalescent serum 0.681099 provider 0.467048 patient 0.564379 options 0.437268 Tree 0.443816 Immunofluorescence Assay 0.693882 EIA 0.466421 negative results 0.624323	CLICK HERE
7620	Centers for Disease Control and Prevention	Html	en	Global Health - Kenya - Blog: Putting Nomadic Pastoralists on the Map	null	existing data sources 0.477779 census data 0.595299 pastoralist movement 0.408136 civil conflict figure 0.459282 routine services 0.41097 Global Immunization Division 0.522556 clinical services 0.408893 culturally familiar context 0.485946 health care providers 0.845629 health care access 0.532328 previously unrecorded locations 0.473307 health care services 0.696649 health facilities 0.446397 mobile groups 0.409157 polio cases 0.436477 U.S. CDC-Kenya Office 0.521608 Google Earth imagery 0.462723 nomadic pastoralists 0.627251 polio surveillance 0.430005 Mobile populations 0.41152 urgent health needs 0.542706 Lab Training Program 0.510338 smaller livestock 0.4116 human health providers 0.527118 northern Nigeria 0.553467	Nigeria Field Epidemiology 0.561963 nomadic groups 0.449644 pastoralist children 0.419023 grazing area 0.407524 sedentary populations 0.408977 Health care systems 0.572041 pastoralist districts 0.411192 Nomads Project 0.414115 polio immunization coverage 0.528422 nomadic pastoralist tribes 0.555785 Kenyan agricultural expert 0.469366 traditional nomadic routes 0.536573 health care 0.980386 recurrent seasonal migration 0.478801 District Production Livestock 0.478368 health education opportunities 0.521829 KENYA BLOG 0.462695 polio virus 0.439399 veterinary health providers 0.527543 NGO partners 0.408455 grazing areas 0.498164 Dr. Chris Ajele 0.469022 public health challenge 0.523774 bilateral government 0.408139	CLICK HERE
10825	Centers for Disease Control and Prevention	Html	en	Health, United States, 2013 includes special section on prescription drugs	CDC announces second imported case of Middle East Respiratory Syndrome (MERS) in the United States	key health measures 0.461017 insurance coverage 0.382864 high cholesterol 0.404893 commonly used classes 0.470258 Disease Control 0.396567 prescription drugs 0.975827 private sector. 0.38116 federal government 0.378979 commonly used prescription 0.66662 Americans 0.334578 cholesterol-lowering drug 0.424065 reproductive health 0.39346 health expenditures 0.397515 life expectancy 0.384328 medical visits 0.388846 statin drugs 0.472277 private sector 0.39105 prescription drugs.  Key 0.54256 birth rates 0.383239 blood thinners 0.391139 Drug poisoning deaths 0.453473 health care utilization 0.462962 United States 0.485772 37th annual report 0.480251 age group 0.387238	adults 0.46668 common prescription drugs 0.653739 kidney disease 0.391421 percent 0.523518 Cardiovascular agents 0.403956 federal health agencies 0.490054 Health Statistics. 0.41248 heart disease 0.393165 U.S. DEPARTMENT 0.383604 comprehensive report 0.406267 cardiovascular disease 0.414622 health risk behaviors 0.463139 cold symptoms 0.390972 health data 0.412318 retail prescription drugs 0.582758 cardiovascular agent 0.485006 opioid analgesics 0.413377 annual growth 0.382546 antidepressants 0.341811 special section 0.396767 high blood pressure 0.467424 Prevention’s National 0.397877 Human Services 0.481474 past decade 0.387914	CLICK HERE
11600	Centers for Disease Control and Prevention	Html	en	Influenza Vaccination Coverage Among Health Care Personnel —United States, 2013–14 Influenza Season	Carla L. Black, PhD1, Xin Yue, MPS, MS1, Sarah W. Ball, ScD2, Sara M.	influenza vaccination coverage 0.853794 general HCP personnel 0.497781 clinical HCP 0.552274 volunteer HCP members 0.491506 employer vaccination policies 0.439416 vaccination coverage 0.868234 Internet panel survey 0.631414 influenza vaccination levels 0.428981 nonclinical HCP 0.512474 vaccination status 0.403458 population Internet panels 0.30528 opt-in Internet panels 0.381278 Comprehensive vaccination strategies 0.433792 HCP vaccination coverage 0.730905 nurse practitioners/physician assistants 0.305596 facilities offering vaccination 0.397908 HCP population 0.466074 employer vaccination requirements 0.423527 HCP 0.996707 health care settings 0.423264 vaccination promotion 0.424486 free on-site vaccination 0.449044 unvaccinated HCP 0.482865 Internet panels 0.387222 HCP working 0.510548	vaccination availability 0.401165 vaccination 0.895765 higher HCP vaccination 0.633843 overall HCP influenza 0.536686 vaccination requirements 0.472472 higher vaccination coverage 0.474228 ascertain vaccination promotion 0.405676 food service workers 0.316509 on-site vaccination 0.449209 self-reported influenza vaccination 0.464187 HCP influenza vaccination 0.751892 Nonclinical personnel†† 0.308731 work settings 0.347349 clerical support workers 0.316708 seasonal vaccination coverage 0.429918 general population Internet 0.308658 vaccination promotion trend 0.404484 occupation type 0.344463 Carla L. Black 0.310489 Professional clinical HCP 0.535935 Internet panel sources 0.312919 influenza vaccination 0.868462 clinical personnel 0.312014 LTC settings 0.543738	CLICK HERE
12626	Centers for Disease Control and Prevention	Video	en	Director's Briefing: Obesity Rates among Preschoolers	CDC works 24/7 to save lives and protect people. This month's Vital Signs (www.cdc.gov/vitalsigns/) has good news: Obesity rates are decreasing among our nation's low-income preschoolers. The federal WIC program has improved nutritional standards, and communities across the nation are taking action --increasing breastfeeding rates, improving nutrition and physical activity in child care, and keeping school playgrounds open during non-school hours, just to name a few ways that have been proven to work. Still, 1 in 8 preschoolers is obese. Obese children are more likely to become obese adults and have lifelong physical and mental health problems. Communities must continue to help our children thrive. Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html This video can also be viewed at http://streaming.cdc.gov/vod.php?id=d445ad0752089116bffffe71aed0766420130801162439812	Obesity Rates 0.936452 Preschoolers 0.814786	Director 0.36933	CLICK HERE
12869	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Diet Quality and History of Gestational Diabetes Mellitus Among Childbearing Women, United States, 2007"2010 - 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.	total HEI-2010 diet 0.478316 dietary guidelines 0.487935 component diet quality 0.527397 diet quality score 0.607412 type 0.472232 chronic disease risk 0.471897 GDM 0.753096 previous borderline GDM 0.559862 overall diet quality 0.776915 Disease Control 0.473614 overall average diet 0.471683 smoking status 0.481597 Introduction Women 0.467607 Nutrition Examination Survey 0.514974 national health 0.492312 history 0.630027 gestational diabetes mellitus 0.592789 total HEI-2010 score 0.474853 childbearing women 0.489815 GDM diagnosis 0.533982 linear regression models 0.506958 total diet quality 0.492787 women 0.740171 high school graduate 0.466918	United States 0.5296 poorer diet quality 0.494736 maternal diet quality 0.484369 GDM data 0.535315 lower diet quality 0.504048 sugar diabetes 0.483849 Healthy Eating Index 0.475926 recent live infant 0.479031 average diet quality 0.505455 recent gestational diabetes 0.479796 Massachusetts Medical School 0.526025 borderline diabetes 0.482732 Diabetes Care 0.478153 health 0.521304 HEI-2010 diet quality 0.519662 poor diet quality 0.574225 24-hour dietary recall 0.47941 physical activity 0.472994 current diet quality 0.502472 MyPyramid Equivalents Database 0.467061 diet quality 0.943228 American Diabetes Association 0.480915 diabetes 0.612957 good-quality overall diet 0.474945	CLICK HERE
13424	Centers for Disease Control and Prevention	Html	en	Colorectal Cancer Identification Methods Among KansasMedicare Beneficiaries, 2008&ndash2010	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.	CRC screening recommendations 0.561042 CRC testing 0.517332 CRC test 0.738479 CRC test procedure 0.547117 CRC identification classification 0.569802 Kansas Medicare beneficiaries 0.420925 double-contrast barium enema 0.449353 CRC mortality rates 0.572427 CRC diagnosis 0.568518 ICD-9-CM diagnosis codes 0.409492 population-based Kansas Cancer 0.393441 multiple CRC primaries 0.563521 diagnostic-identified CRC 0.517795 routine cancer screening 0.386286 CRC screening 0.786901 Kansas Medical Center 0.430404 CRC incidence 0.546631 New CRC cases 0.603857 population-based registry records 0.412498 diagnostic workup 0.383203 prior invasive CRC 0.558433 CRC 0.998697 CRC outcomes 0.544985 claims history 0.407253	logistic regression analysis 0.422218 administrative claims data 0.48101 surveillance-identified CRC 0.556501 CRC tests 0.6491 invasive CRC 0.57941 CRC cases 0.854582 CRC screening test 0.618102 CRC patients 0.537856 National Cancer Institute 0.405338 Kansas Cancer Registry 0.566694 CRC prevention 0.564944 screening/surveillance-identified CRC 0.671666 colonoscopy indication 0.383603 multiple logistic regression 0.388419 CRC symptom ICD-9-CM 0.560496 population-based cancer registry 0.471776 60-day window 0.406908 CRC screening rates 0.639759 population-based CRC cohort 0.557192 CRC identification 0.856771 Medicare-linked CRC cases 0.718848 CRC test indication 0.605763 CRC symptom diagnosis 0.576079 CRC identification methods 0.787166	CLICK HERE
13553	Centers for Disease Control and Prevention	Video	en	Protective Actions for Radiation Emergencies - Get Inside, Stay Inside, Stay Tuned | Video	An accident at a nuclear power plant, a nuclear explosion, and a dirty bomb are examples of radiation emergencies. If a radiation emergency happens nearby, immediately leaving the area may not be the best course of action. Instead, emergency response officials may tell you to get inside a building and take shelter for a period of time. This is called sheltering in place. In this segment, you’ll learn how to get inside, stay inside, and stay tuned to protect yourself and your family. Other videos focused on protective actions for radiation emergencies can be found here: http://emergency.cdc.gov/radiation/protectiveactions.asp Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html This video can also be viewed at http://www.cdc.gov/wcms/videos/low-res/NCEH/2015/get_inside_stay_inside_stay_tuned_922280.mp4	Protective Actions 0.709571 Stay Tuned 0.909007	Radiation Emergencies 0.738127	CLICK HERE