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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1204	Centers for Disease Control and Prevention	Html	en	National HIV Testing Day | CDC Features	June 27 is National HIV Testing Day, a day to get the facts, get tested, and get involved!	pre-exposure prophylaxis 0.38502 CDC 0.357027 routine care 0.377882 health care provider 0.571608 lifesaving information 0.376991 right way 0.378843 body 0.314081 Today. 0.3162 Young people 0.382862 test your way 0.449848 HIV status 0.643332 prevention information 0.371915 Facebook 0.315711 Tool 0.313591 needs 0.313554 HIV Risk Reduction 0.628843 download posters 0.373773 friends 0.313774 HIV medicines 0.579023 HIV medicine 0.584233 chances 0.315923 frequent testing 0.385347 treatment 0.315184 testing event 0.389131 United States 0.386476	community leaders 0.373605 Twitter 0.314972 share videos 0.373813 prevention campaign 0.370841 national hiv testing 0.78449 HIV tests 0.572594 example 0.330021 ways 0.316145 theme 0.316457 drugstores 0.318474 routine health care 0.451565 local organization—get 0.386085 reminder 0.316987 testing site 0.380045 PrEP 0.330747 bisexual men 0.381667 Facts 0.314914 BETA 0.313581 HIV 0.968457 powerful information 0.371205 ages 0.31488 clinic 0.31525 family 0.313781 HIV infection 0.595571	CLICK HERE
6186	Centers for Disease Control and Prevention	Html	en	Childhood obesity: issues of weight bias.	null	obese employees 0.432944 height discrimination 0.366647 obese students 0.44831 preventive health screenings 0.36415 social consequences 0.379325 weight discrimination 0.397641 obesity prevention 0.375164 health care providers 0.543257 obesity 0.558235 family members 0.36793 obese people 0.524279 nonobese peers 0.365909 multiple ways 0.378147 body mass index 0.416827 obese elementary school 0.459183 potential negative role 0.364287 gradual weight loss 0.389833 overweight students 0.396494 Asian American adolescents 0.36491 physical health 0.380421 negative stereotypes 0.40152 obese women 0.432787 weight bias 0.926797 substantially overweight females 0.404981 weight gain 0.38979	obese children 0.760135 obese youth 0.439783 overweight males report 0.403256 Obese adolescent females 0.462404 negative body image 0.375664 inferior body image 0.364269 obesity worsens 0.384011 overweight characters 0.374432 low self-esteem 0.369969 comparable academic performance 0.363996 school health care 0.371864 overweight females 0.425357 substantially overweight males 0.397776 obese men 0.432767 overweight patients 0.394247 obese applicants 0.48889 obesity epidemic 0.474983 obese adults 0.45226 inadequate self-discipline 0.375844 weight-biased teasing 0.445965 different racial/ethnic groups 0.365494 overweight males 0.403541 excessive weight 0.39695 childhood obesity 0.422122	CLICK HERE
6975	Centers for Disease Control and Prevention	Html	en	Global Health - Dominican Republic	The Centers for Disease Control and Prevention (CDC) in the Dominican Republic has four disease impact goals: 1) eliminate transmission of HIV from pregnant mothers to babies, 2) prevent new cases of adult HIV among high-risk populations, 3) reduce the prevalence of tuberculosis, and 4) reduce the impact of infectious disease outbreaks.	endorsement 0.248475 CDC 0.235181 disease impact goals 0.969429 HIV- related goals 0.816896 U.S President 0.401379 CDC/DR 0.347039 Local partners 0.394874 increase detection 0.409019 AIDS Relief 0.401804 Disease Control 0.628077 female sex workers 0.638709 infectious disease outbreaks 0.658421 Emergency Plan 0.407018 rapid HIV testing 0.775563 uptake 0.253363 tuberculosis 0.2484 implements HIV 0.650531 los Santos 0.39966 difficult-to-reach populations 0.524114 laboratory systems 0.412107 provision 0.235672 public health facilities 0.572926 Mao 0.244507 HIV clinical cascade 0.803863 new cases 0.441762	Centers 0.273819 access 0.256976 condoms 0.247025 MoH 0.263717 nongovernmental partners 0.431249 Source 0.238774 key populations 0.563557 Juan J. 0.390964 prevalence 0.249623 epidemiology 0.237239 HHS 0.25248 health services 0.411923 Valverde 0.261906 HIV transmission 0.628702 retention 0.235689 MSM 0.26077 priority populations 0.769741 TB prevention strategies 0.627795 surveillance initiatives 0.406578 non-federal site 0.421529 migrants 0.260536 Dominican Republic 0.659385 mortality 0.240382 evidence-based interventions 0.409815	CLICK HERE
10756	Centers for Disease Control and Prevention	Html	en	PRAMS and Smoking - Pregnancy Risk Assessment Monitoring System - Reproductive Health	PRAMS and Smoking	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
11179	Centers for Disease Control and Prevention	Html	en	Increase Expected in Medical Care Costs for COPD	Reduce medical costs for COPD, invest in programs that prevent tobacco use.	absentee costs 0.671456 adults 0.475951 state medical costs 0.775589 states 0.436039 national health care 0.720652 Clinicians 0.441472 large amounts 0.591616 Alaska 0.434026 private insurance 0.573235 tobacco 0.438135 projection 0.436016 Medicaid 0.489986 employers 0.435326 new study 0.613487 Medicare 0.489584 researchers 0.441115	work 0.434613 impact 0.436628 economy 0.435536 medical care 0.728482 account costs 0.645473 people 0.479606 professional sports teams 0.751503 medical treatment costs 0.775231 national estimates 0.567997 report 0.434216 programs 0.482341 Total absenteeism costs 0.810033 conditions 0.520174 adult 0.475084 obstructive pulmonary disease 0.796174 COPD 0.993895	CLICK HERE
11414	Centers for Disease Control and Prevention	Html	null	Start your Conversation | Talk About HIV/AIDS | We Can Stop HIV One Conversation | Campaigns | Act Against AIDS	Suggestions to start a conversation about HIV/AIDS with families, friends, and within Hispanic/Latino communities			CLICK HERE
11429	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Prevalence of Partially Hydrogenated Oils in US Packaged Foods, 2012 - CDC	Although there is evidence that consumption of trans fat has declined in the United States, limited documentation exists on current levels of industrial trans fat in foods. We estimated the prevalence of partially hydrogenated oils in 4,340 top-selling US packaged foods. Nine percent of products in the sample contained partially hydrogenated oils; 84% of these products listed “0 grams” of trans fat per serving, potentially leading consumers to underestimate their trans fat consumption. Government efforts to eliminate partially hydrogenated oils from packaged foods will substantially reduce exposure to this known cardiovascular disease risk factor.	contain PHOs 0.47533 WK Kellogg Foundation 0.381192 foods 0.434992 Human Services 0.380851 Prev Chronic Dis 0.402386 trans fat label 0.655216 brand-name products 0.381413 New York City 0.446662 commonly consumed food 0.406689 Packaged Foods 0.405098 baked goods 0.398345 National Salt Reduction 0.472367 product trans 0.445945 Gail P. Goldstein 0.381516 food category 0.435809 cardiovascular disease risk 0.392636 NSRI food categories 0.433605 Stars Licensing Company 0.389441 NSRI Packaged Food 0.527901 potentially leading consumers 0.39231 Packaged Food Database 0.500014 NSRI database 0.41268 food service establishments 0.394447 food categories 0.507119	trans fat consumption 0.678713 trans fat content 0.575353 dietary trans 0.497586 industrial trans 0.70014 trans 0.719178 Initiative food category 0.399805 seasoned processed potatoes 0.470228 United States 0.40579 ingredient information 0.499358 main dietary source 0.394657 products 0.624588 Comparable PHO-free products 0.410819 Salt Reduction Initiative 0.468929 PHOs 0.724807 ingredient data 0.400864 cardiovascular disease 0.400686 FDA research findings 0.389426 consumers preparing foods 0.388002 risk factor 0.400549 York City Department 0.446648 trans fat intake 0.551021 fat label data 0.482948 Public Health Service 0.383421 partially hydrogenated oils 0.90628	CLICK HERE
14286	Centers for Disease Control and Prevention	Html	en	Campylobacter jejuni Infections Associated with Raw MilkConsumption - Utah, 2014 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	raw milk contamination 0.616164 raw milk purchase 0.608718 Campylobacter jejuni yielding 0.569215 Utah Department 0.552188 Utah 0.572164 outbreak investigation 0.554762 Campylobacter infection 0.561638 outbreak pattern 0.547108 Utah Dairy Act 0.555309 coliform counts 0.625346 northern Utah counties 0.555779 raw milk samples 0.627935 outbreak 0.560027 raw milk 0.967221 milk sales permit 0.588962 additional cases 0.548121 Analytical Manual protocol 0.550667 dairy A. Entries 0.549366 somatic cell 0.636887 dairy A. 0.566955 patients 0.567259 C. jejuni detection 0.549282 Bacteriological Analytical Manual 0.551525 Campylobacter jejuni 0.571853	Raw milk dairies 0.615427 raw milk bulk 0.605491 C. jejuni infection 0.749102 northern Utah 0.564524 consuming unpasteurized milk 0.582782 pulsed-field gel electrophoresis 0.554658 somatic cell counts 0.551364 Public Health Laboratory 0.558678 routine testing 0.549713 raw milk consumption 0.79284 UDAF 0.556444 selling raw milk 0.602125 milk sales ledger 0.590343 public health 0.563155 positive C. jejuni 0.551505 Weber County 0.547459 cases 0.559292 common raw milk 0.624878 Dairy Testing Laboratory 0.549335 raw milk dairy 0.648671 raw milk testing 0.600938 monthly milk samples 0.598014 Salt Lake County 0.553271 raw milk sales 0.663472	CLICK HERE
14291	Centers for Disease Control and Prevention	Html	en	Notes from the Field | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	new transmission chains 0.34054 National Ebola Coordination 0.757977 prevention control precautions 0.349564 RDT-Ebola implementation 0.427249 large-scale RDT-Ebola implementation 0.402323 Ebola share 0.568439 sample collection procedures 0.354487 Global HIV 0.335149 Ebola Coordination Cell 0.759324 electronic PDF version 0.340179 Zoonotic Infectious Diseases 0.336327 L. Kerouane Camara 0.34214 undetected Ebola cases 0.617306 5South Dakota Department 0.343543 World Health Organization 0.629026 Global Health 0.565378 RDT-Ebola test kits 0.400083 febrile illness 0.370285 supply chain management 0.342376 rdt-malaria tests 0.415719 Ebola 0.9265 Ebola virus disease 0.676425 Sierra Leone border 0.339438 original MMWR paper 0.345264	rapid diagnostic testing 0.50397 malaria 0.502427 Ebola cases 0.711556 malaria prevalence 0.401969 Forécariah Ebola Response 0.611334 CDC RDT-Ebola testing 0.452595 Jennifer Y. Huang 0.334676 Ongoing data collection 0.337306 Ebola Rapid Antigen 0.62935 Health Organization Field 0.389434 RDT-Ebola tests 0.459195 Ebola tests 0.550245 health care 0.397471 Global Health Protection 0.544335 health care worker 0.392052 new Ebola cases 0.652794 National Malaria Programme 0.474312 positive malaria tests 0.468182 Ebola treatment centers 0.625446 malaria RDTs 0.392686 7Global Outbreak Alert 0.33613 RDT-Ebola testing protocol 0.526869 CDC-Guinea RDT-Ebola testing 0.41607 sentinel sites 0.68323	CLICK HERE
15957	Centers for Disease Control and Prevention	Html	en	Clinical Guidance for Healthcare Providers Caring for Pregnant Women | Zika virus	Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention.	Interim Guidelines 0.283253 CDC Updates Guidance 0.299508 IgM Antibody Response 0.28641 ongoing exposure 0.27497 Florida tri-county area 0.2769 pregnant women 0.878906 pretest counseling 0.249143 zika virus exposure 0.550772 pregnant woman 0.301639 broward counties 0.286736 Zika Virus Outbreak—United 0.363739 zika virus infection 0.479952 Palm Beach 0.316355 Possible Zika Virus 0.537286 Engl J Med. 0.24454 possible zika exposure 0.404177 Miami-Dade County2 0.258764 Miami-Dade County 0.343924 Local Mosquito-borne Zika 0.363248 Palm Beach counties 0.276926 cdc guidance 0.29216 Mosquito-borne Zika Virus 0.414431 healthcare providers 0.272645 United States 0.320808	undiagnosed asymptomatic infections 0.280738 zika virus transmission 0.685662 Care Providers Caring 0.505223 CDC health advisory3 0.289169 HAN Advisory 0.330656 Health Care Providers 0.502137 individualized risk assessment 0.288417 recent possible exposure 0.31773 zika virus 0.98394 male residents 0.274836 Reproductive Age 0.374725 Ongoing Investigation 0.244649 ongoing Zika exposure 0.339729 counsel pregnant women 0.328594 sexual transmission 0.259558 Virus Infection Related 0.398696 Zika testing 0.273332 decision-making model 0.246544 Interim Guidance 0.327199 medical care 0.243088 small potential risk 0.280827 Serologic Testing Results 0.285576 patient preferences 0.246319 clinical judgment 0.246296	CLICK HERE