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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
7915	Centers for Disease Control and Prevention	Html	en	Global Health - Nigeria - Partners	CDC partners in Nigeria with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.	country 0.234197 treatment 0.233812 endorsement 0.25258 Efforts 0.278496 malaria 0.249407 burden 0.253183 HHS 0.256563 transmission 0.236102 universities 0.238305 Notice 0.2374 non-governmental organizations 0.420598 private institutions 0.400253 Nigerian public health 0.56557 human resource capacity 0.591615	Commends CDC Nigeria 0.939789 laboratory capacity 0.422918 Scale 0.257941 CDC partners 0.51556 list 0.230095 public health foundation 0.562383 parastatal agencies 0.407634 U.S. Ambassador 0.589073 non-federal site 0.401843 HIV/AIDS Partners 0.549777 infrastructure 0.235691 Nigeria Commends CDC 0.940482 Sustain Programs 0.588452 employees 0.228825	CLICK HERE
8194	Centers for Disease Control and Prevention	Html	en	Folic Acid Quiz	Folic acid is a B vitamin. Our bodies use it to make new cells. Everyone needs folic acid. CDC urges women to take 400 mcg of folic acid every day, starting at least one month before getting pregnant, to help prevent major birth defects of the baby's brain and spine.	MPEG 0.741242 site 0.541063 PDF 0.544429	PPT 0.837268 DOC 0.733754	CLICK HERE
8478	Centers for Disease Control and Prevention	Html	en	Campaign Overview - About the Campaign - Campaign Resources - Tips from Former Smokers - Smoking & Tobacco Use	Overview of CDC's Tips from Former Smokers campaign, including goals of the campaign, primary audience, key messages, media channels, and resources.	MPEG 0.378858 search 0.263099 PDF 0.261307 PPT 0.446092	DOC 0.368812 information 0.262482 different file formats 0.938484 page 0.276773	CLICK HERE
11830	Centers for Disease Control and Prevention	Html	null	Get Smart | Resources for Policy Makers | CDC	Get Smart About Antibiotics Week's resources for policy makers			CLICK HERE
12743	Centers for Disease Control and Prevention	Html	en	Vital Signs: Disparities in Nonsmokers' Exposure toSecondhand Smoke - United States, 1999-2012	On February 3, 2015, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr).	comprehensive statewide laws 0.568447 serum cotinine analysis 0.557311 multiunit housing residency 0.569831 exposure exist 0.560324 serum cotinine levels 0.647146 serum cotinine data 0.555905 children 0.609546 Serum cotinine values 0.555365 Nutrition Examination Survey 0.574313 housing status 0.572193 Mexican Americans 0.628151 poverty level 0.641875 serum cotinine 0.713685 percentage change 0.707782 non-Hispanic black households 0.570409 workplace SHS exposure 0.654424 persons 0.556881 SHS exposure 0.996896 smoke-free home rules 0.554555 nonsmokers 0.724438 Greater SHS exposure 0.653009 low socioeconomic status 0.558802 serum cotinine level 0.567508 voluntary smoke-free home 0.618858	interview response rates 0.567884 adult nonsmokers 0.572444 United States 0.562882 U.S. nonsmokers 0.616752 smoke-free rules 0.56447 comprehensive smoke-free laws 0.605772 Mexican American nonsmokers 0.584349 prevalence 0.567951 public places 0.579388 non-Hispanic blacks 0.728405 smoking 0.576701 smoke-free policies 0.594668 multiunit housing 0.671023 non-Hispanic white households 0.570074 higher cotinine levels 0.563785 Serum cotinine concentrations 0.555636 continued efforts 0.55371 non-Hispanic whites 0.637177 background SHS levels 0.61047 non-Hispanic white nonsmokers 0.620091 non-hispanic black nonsmokers 0.650401 preventable health hazard 0.605635 recent exposure 0.568164 population exposure 0.567189	CLICK HERE
13385	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Tickborne Relapsing Fever Outbreak atan Outdoor Education Camp - Arizona, 2014	Jefferson M. Jones, MD1,2,3; Mare Schumacher, MPH4; Marie Peoples, PhD4; Nina Souders, MD5; Kimberly Horn5; Lisa Fox, DO6; Michele Scott, MD6; Shane Brady, MD3; Joli Weiss, PhD3; Ken Komatsu, MPH3; Nathan Nieto, PhD7 (Author affiliations at end of text).	high school 0.586548 2Maricopa County Department 0.565545 Camp staff members 0.598705 rodent droppings 0.514199 Nathan Nieto 0.503775 cabin owners 0.50518 soft tick infestation 0.580896 outdoor education camp 0.936357 school-run outdoor education 0.576143 major TBRF signs 0.611823 Borrelia hermsii isolation 0.590889 probable cases 0.62483 Health care providers 0.57145 additional cases 0.582332 public health team 0.586287 County Public Health 0.732045 Public Health Services 0.732007 Health Services District 0.733323 Arizona residents 0.508966 Ornithodoros hermsii tick 0.59091 1Epidemic Intelligence Service 0.555789 5Flagstaff Medical Center 0.555181 probable case 0.556047 pest control companies 0.553086 4Coconino County Public 0.568196	probable TBRF 0.719844 spirochetes 0.522237 TBRF cases 0.53703 joint aches 0.507986 tickborne diseases 0.51096 public health professionals 0.57913 public health 0.782196 polymerase chain reaction 0.553381 rodent nesting material 0.562872 Health Services case 0.601319 Arizona Department 0.527359 soft ticks 0.514346 Tickborne Relapsing Fever 0.67013 professional pest controllers 0.549296 health department 0.523266 Camp management 0.507272 high school students 0.579552 Jefferson M. Jones 0.736529 7Northern Arizona University 0.580925 main cabin 0.583713 high school football 0.568789 local university experts 0.574724 median incubation period 0.563725 Coconino County Public 0.601702	CLICK HERE
13742	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Measles in a Patient with PresumedImmunity - Los Angeles County, 2015	Amanda Kamali, MD1,2; Chhandasi P. Bagchi, MPH3; Emmanuel Mendoza, MPH3; Dulmini Wilson, MPH3; Benjamin Schwartz, MD2; Laurene Mascola, MD2.	unrecognized immunocompromising condition 0.51887 immune globulin 0.715478 confluent papular rash 0.539494 Benjamin Schwartz 0.476911 Los Angeles County 0.727608 contact investigation 0.47137 wild measles 0.590241 Emmanuel Mendoza 0.479459 IM immune globulin 0.57078 reactive airway disease 0.546861 health care setting 0.515112 initial measles exposure 0.650116 received supportive treatment 0.541389 5-day course 0.474769 susceptible persons 0.553913 patients 0.475034 emergency department 0.692508 susceptible contact 0.50761 waiting room 0.478928 measles outbreak 0.607196 postexposure prophylaxis 0.565094 susceptible children 0.506614 Angeles County Department 0.597994 2Acute Communicable Disease 0.520588	hospital emergency department 0.522405 single dose 0.472373 California Department 0.472442 1Epidemic Intelligence Service 0.520862 Public Health 0.577782 doses 0.485703 Laurene Mascola 0.481301 Amanda Kamali 0.555465 emergency department visit 0.532551 vaccine-induced immunity 0.482948 window period 0.47351 susceptible contacts 0.499755 measles cases 0.603919 population immunity 0.477982 measles vaccine 0.651268 Disney theme park 0.524891 patient C. 0.495642 oral prednisone 0.474549 vesicular oral lesions 0.527882 Dulmini Wilson 0.477691 laboratory-confirmed measles 0.592518 vaccine failures 0.517484 measles 0.809735 MMR vaccine 0.954915	CLICK HERE
15232	Centers for Disease Control and Prevention	Html	en	YRBS 2015 Results | CDC Online Newsroom | CDC	Teen smoking rates are at the lowest level (11%) since CDC began monitoring in 1991!	ideal time 0.386128 risk behaviors 0.742082 health risk behaviors 0.72447 sexually active students 0.484097 wireless devices 0.399695 Disease Control 0.406797 prescription drugs 0.394588 drinking sugar-sweetened beverages 0.466506 best science 0.388826 physical fighting 0.394275 newly emerging behaviors 0.53325 good decision making 0.455426 average text 0.390472 survey findings 0.485336 National Youth Risk 0.519565 YRBS report 0.468876 lowest levels 0.410118 life-threatening.  YRBS results 0.463421 fewer high school 0.476429 new challenges 0.401513 U.S. high school 0.508072 current cigarette 0.411241 youth risk behaviors 0.555527 new data 0.398247 sexual risk behaviors 0.5631	Behavior Survey 0.409694 healthy behaviors 0.455107 teens 0.32741 risk taking. 0.398958 percent 0.387422 55 mph 0.394087 Nationwide 0.333716 key survey findings 0.482399 important health risk 0.474954 important tool 0.384482 sedentary related behaviors 0.551679 survey results 0.409191 risk taking 0.395786 texting 0.322374 high school students 0.9136 safety concerns 0.393774 Cigarette smoking 0.519907 e-cigarettes 0.336187 football field 0.391767 mixed results 0.394963 risks 0.327841 screen time 0.392919 overall trends 0.382424 HIV testing 0.391623	CLICK HERE
15290	Centers for Disease Control and Prevention	Html	en	Influenza Vaccination Among Women with a Recent Live Birth	Influenza Vaccination Among Women with a Recent Live Birth, Pregnancy Risk Assessment Monitoring Systems (PRAMS), 2009-10 Influenza Season - CDC	H1N1 flu shot 0.290006 influenza vaccination coverage 0.506505 pH1N1 influenza vaccine 0.20967 health care provider 0.28061 pH1N1 vaccination 0.340786 pH1N1 influenza vaccination 0.565525 seasonal influenza vaccination 0.470838 New York City 0.398837 vaccination coverage 0.932264 pregnant women 0.604707 influenza vaccination levels 0.455161 pH1N1 influenza vaccines 0.231215 State-specific vaccination coverage 0.311389 vaccination status 0.290609	pH1N1 vaccination levels 0.300384 seasonal influenza vaccine 0.229938 health care 0.373868 lowest vaccination coverage 0.288301 seasonal vaccination coverage 0.366082 supplemental vaccination question 0.300897 monovalent pH1N1 influenza 0.23796 vaccination questions 0.244353 2009-10 influenza season 0.469211 overall vaccination coverage 0.289923 influenza vaccination 0.792213 lower vaccination prevalence 0.279163 lowest vaccination levels 0.278872 pH1N1 flu vaccination 0.324264	CLICK HERE
16172	Centers for Disease Control and Prevention	Html	en	From Making Sandwiches to Being Sandwiched | CDC Features	Work-life balance for working caregivers may be difficult. But you are not alone - among the 44 million unpaid elder caregivers in the US, 75% are employed.	parent 0.427509 working caregiver 0.552402 Caregiving website 0.566615 older persons 0.476539 short walk 0.469447 problem 0.335846 flexible work schedule 0.619015 employer 0.369186 old mother 0.508617 respite care 0.478084 health conditions 0.491582 old caregiver 0.590616 teenage sons 0.498951 local resources 0.469946 multi-million dollar program 0.690577 needs 0.393443 little time 0.496854 Join community caregiver 0.684264 additional resources 0.47043 normal family responsibilities 0.634387 Pew Research Center 0.652949 job 0.487971 support network 0.466899 U.S. businesses 0.477284	child 0.363862 exercise 0.351871 caregiving tasks 0.582437 after-school activities 0.497143 hot bath 0.46897 replacement costs 0.468911 unpaid elder caregivers 0.917603 job benefits 0.48421 demanding job 0.48621 work-life balance 0.726189 Alzheimer’s Disease 0.507669 emotional support 0.462494 lower quality 0.474838 average employed caregiver 0.75237 Talk 0.365792 chores 0.335369 adult day care 0.47788 higher levels 0.475113 help 0.365739 Sally 0.427115 Caregiving Resources 0.563834 sandwich generation 0.494947 job situation 0.483774 time 0.526752	CLICK HERE