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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5362	Centers for Disease Control and Prevention	Html	en	Minority Health Surveillance- REACH U.S. 2009 | CDC Features	Substantial racial/ethnic health disparities exist in the United States. Although racial/ethnic minorities are growing at a rapid pace, large-scale community-based surveys and surveillance systems designed to monitor the health status of minority populations are limited.	highest median percentage 0.712771 United States 0.358336 Asian/Pacific Islander women 0.482105 individual level changes 0.429719 median influenza vaccination 0.633204 Risk Factor Surveillance 0.458397 lowest Pap smear 0.446839 corresponding MMSA 0.460765 national median percentage 0.689118 minority populations 0.523847 black communities 0.381732 Asian/Pacific Islander 0.495109 median percentages 0.556246 AI communities 0.393242 Factor Survey 0.468269 surveillance systems 0.351394 physical activity recommendations 0.440268 self-reported hypertension 0.346906 median percentage 0.923257 Community Health 0.372837 lowest percentages 0.349965 50 states 0.448798 AI men 0.371226 micropolitan statistical area 0.45983	Risk Factor Survey 0.441451 community-level survey data 0.441393 American Indian women 0.451614 median prevalence 0.599763 Pneumococcal vaccination rates 0.424049 high prevalence 0.355608 racial/ethnic minorities 0.353038 ethnic minority communities 0.509745 minority communities 0.847482 lower percentage 0.383537 health status 0.606508 Self-reported data 0.364605 address-based sampling design 0.467274 Hispanic communities 0.368906 leisure-time physical activity 0.457683 national estimates 0.347196 high blood pressure 0.432248 culturally tailored strategies 0.425245 racial/ethnic health disparities 0.495297 self-perceived health status 0.449982 Risk Factor 0.460055 black women 0.374451 large-scale community-based surveys 0.477099	CLICK HERE
6563	Centers for Disease Control and Prevention	Html	null	Get Smart About Antibiotics | What Everyone Should Know	Antibiotic resistance is a growing problem due to overuse and misuse of antibiotics.			CLICK HERE
6746	Centers for Disease Control and Prevention	Html	en	Global Health - Nepal	null	Micronutrient powder 0.665411 CDC 0.88389 avian influenza 0.667903 micronutrient malnutrition survey 0.744315 novel influenza viruses 0.783764 complex humanitarian emergencies 0.900414 new country project 0.746962 CDC s response 0.773187 various international partnership 0.766024 International Society 0.638207 World Health Organization 0.947805 Refugee Health Branch 0.755607 Global Influenza Network 0.804145 vaccine preventable diseases 0.711779 VPD surveillance 0.634499 CDC works 0.791464 diverse health issues 0.733235 adequate outbreak response 0.72371 country capacity development 0.743533 Travel Medicine 0.629759 public health impact 0.738697 travel/tropical medicine clinics 0.737529 Additional technical assistance 0.717601 final diagnoses 0.626526 U.S. government 0.625086	United States Government 0.773778 entire network 0.629914 United Nations Children 0.715035 travel-related illnesses 0.633452 pandemic influenza 0.675566 CDC funding 0.815192 civilian populations 0.643411 international network 0.651729 full-performance sites 0.628833 War-related Injury Team 0.728775 global governments 0.631461 global programs 0.649753 civil strife 0.624965 similar geographic exposures 0.727259 flu viruses 0.632452 clinic sites 0.631894 government strategy 0.637213 GeoSentinel members program 0.738285 Complex Humanitarian Emergency 0.736427 United Nations agencies 0.727888 refugee camps 0.626885 direct Congressional appropriation 0.774205 sentinel sites 0.631709 GeoSentinel network 0.64586	CLICK HERE
8450	Centers for Disease Control and Prevention	Html	en	Ellie's Biography - Ellie's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use	The biography of Ellie, had asthma attack triggered by secondhand smoke, who is featured in CDC's Tips from Former Smokers campaign.	feet 0.446509 mid-thirties 0.450029 smell 0.446824 trouble breathing 0.621158 moment 0.440776 bar 0.493858 person smoking 0.601535 car 0.441191 bartender 0.452431 secondhand smoke 0.792838 Ellie 0.954685 family members 0.592493 asthma attacks 0.83279 smoke-free environment 0.594497 middle 0.442306 twenties 0.445467 10-foot personality 0.647111 night 0.479269 change 0.442931 health 0.493427	hospital visits 0.607953 asthma attack 0.732347 vivid memories 0.596792 strangers 0.443133 windows 0.441163 people 0.59167 friends 0.476416 guitar 0.497343 active member 0.629913 doctor 0.443372 help 0.4434 LGBT communities 0.632267 trips 0.441237 household 0.440941 cigarettes 0.571128 time 0.442997 job 0.602529 choice 0.441563 smoke-free workplace 0.599994	CLICK HERE
8587	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - War Stories, Gene C. Carr	War Stories, The first cases of illness from the 1918 flu pandemic in the United States were reported from Fort Riley, Kansas on March 11 when an Army private became ill; complaining of fever, sore throat, and headache. Military personnel were greatly impacted by the virus and many young recruits were dead from the flu before they ever saw combat.	Mary Hennessey Carr 0.898526 high school 0.58092 Army Air Corps 0.744221 grandmother 0.456738 father 0.490826 lifetime 0.441971 WWII 0.440171 New Jersey 0.790317 Joan Carr 0.767632 historic events 0.587132 efforts 0.432961 Rita Carr Pogacer 0.878504	Paterson 0.454037 Pacific 0.430515 American history class 0.73282 Storyteller 0.452926 quiet man 0.598804 aunt 0.453947 flu pandemic 0.734618 Gene C. Carr 0.916913 public health 0.581758 age 0.431393 Location 0.435452	CLICK HERE
9422	Centers for Disease Control and Prevention	Html	es	Servicios clínicos preventivos para pacientes con riesgo de enfermedades cardiovasculares, Encuesta Nacional de Atención Médica Ambulatoria, 2005-2006	null	servicios clínicos 0.754737 Yoon PW 0.492386 pacientes jóvenes 0.571774 Matson-Koffman D 0.479766 Atención Médica Ambulatoria 0.917397	Tong X 0.490236 seguro médico 0.723047 Chronic Dis 0.502824 Schmidt SM 0.491443 profesionales clínicos 0.449536	CLICK HERE
10137	Centers for Disease Control and Prevention	Html	en	Global Health - Global Health Security - Detect	null	disease detectives 0.651335 laboratory scientists 0.633896 country 0.440015 CDC 0.528818 endorsement 0.465235 United Nations 0.653324 transparent reporting 0.662167 networks 0.442367 bioinformatic systems 0.693274 international organizations 0.65096 networked information-sharing platforms 0.935365 infectious disease threats 0.968355 Content source 0.641847 HHS 0.470615 emergencies 0.452901 point-of-need 0.439838 Notice 0.444726 World Organization 0.650789 Strengthen capabilities 0.781917 Build capacity 0.659549 reagent sharing 0.672569	point-of-care 0.474612 earliest possible moment 0.955839 Food 0.441093 World Health Organization 0.862879 biosurveillance workforce 0.648577 biological threats 0.764518 regional capacity 0.664079 timely collection 0.655523 minimal bio-risk 0.65125 OIE 0.475628 establishment 0.451153 countries 0.440621 Agriculture Organization 0.653024 laboratory systems 0.640051 major dangerous pathogens 0.86643 non-federal site 0.676654 rapid sample 0.649137 FAO 0.454826 sub-national monitoring systems 0.95027 detecting 0.486251 Animal Health 0.65124	CLICK HERE
10932	Centers for Disease Control and Prevention	Html	en	AMIGAS: A Cervical Cancer Prevention Trial Among Mexican-American Women	AMIGAS is a bilingual educational program designed to help community health workers increase cervical cancer screening among Hispanic women who have rarely or never had a Pap test.	prevention trial 0.404747 Vernon SW 0.404122 purpose 0.319019 hysterectomy 0.323204 study— 0.318349 Ayudando 0.320611 video 0.317953 multi-component cervical cancer 0.624557 Ortiz 0.32289 Information 0.320479 Washington 0.318595 AMIGAS toolkit 0.546367 Las Mujeres 0.439566 Información 0.320572 Hispanic women 0.544569 Smith JL 0.41049 para su Salud 0.559367 AMIGAS study groups 0.621448 rural areas 0.404486 flip chart 0.413776 Yakima Valley 0.417595 Coronado GD 0.412991 Wilson KM 0.400482 Pap test 0.44451	disease 0.320833 El Paso 0.413513 cities 0.318704 Mexican origin 0.408275 cervical cancer screening 0.808061 one-to-one setting 0.410012 Guía 0.320557 body diagrams 0.406701 history 0.318298 tools— 0.317618 cervical cancer 0.92548 bilingual educational program 0.526678 instruction guides 0.409845 Amor 0.329288 Mexican-American women 0.655438 usual health care 0.491222 Pap testing 0.421164 Texas 0.332377 Love 0.320441 non-Hispanic white women 0.567209 community health workers 0.527895 message cards 0.409409 TL 0.320994	CLICK HERE
12837	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Use of Unvalidated Urine MycotoxinTests for the Clinical Diagnosis of Illness - United States,2014	Melody Kawamoto, MD1, Elena Page, MD1 (Author affiliations at end of text).	biologic testing 0.518993 musty odors 0.522816 laboratory cutoff 0.546304 laboratory offering 0.546683 Clinical Laboratory Improvement 0.630981 possible mold contamination 0.629016 multiple organ systems 0.61745 health care providers 0.597106 CLIA regulations 0.614787 Mycotoxin levels 0.594658 female employee 0.535551 unvalidated laboratory tests 0.776174 urine sample 0.591001 occupational evaluations 0.515154 destructive testing 0.617804 mold exposures 0.561814 fungal growth 0.625136 antifungal medication 0.520666 mycotoxins 0.541685 United States 0.523687 union representative 0.516 routine environmental sampling 0.576973 urine mycotoxin 0.971551 Occupational Safety 0.725287 building manager 0.612732	health hazard evaluation 0.636758 Melody Kawamoto 0.527209 office building 0.53023 prolonged absence 0.528932 ionic nasal spray 0.597149 Elena Page 0.623547 ppb 0.516316 Author affiliations 0.5191 urine mycotoxin testing 0.89102 appropriate CLIA certificate 0.625137 Antifungal medications 0.519993 human urine 0.572673 urine mycotoxin tests 0.96728 fungal infections 0.516077 clinical validity 0.515848 mold exposure 0.656379 mold illness 0.57539 nonstandard medical treatments 0.607415 toxic mold testing 0.686028 direct-to-consumer laboratory tests 0.63126 laboratory report 0.543881 significant fungal growth 0.602536 mold toxicity 0.566606 Unvalidated Urine Mycotoxin 0.827222	CLICK HERE
13982	Centers for Disease Control and Prevention	Html	en	Obesity Prevalence Maps 2014	Obesity prevalence in 2014 varies across states and territories. Learn more...	high school graduates 0.34492 Maps Interactive Tool 0.316306 adult obesity prevalence 0.98315 Puerto Rico 0.222301 state obesity prevalence 0.59142 adults 0.40499 highest prevalence 0.466823 college graduates 0.234754 improvement changes 0.205282 states 0.224423 West Virginia 0.220255 *Sample size 0.431197 territory adult obesity 0.888582	high school degree 0.346001 public health surveillance 0.304393 middle-aged adults 0.251255 obesity prevalence estimates 0.79457 Young adults 0.245584 Virgin Islands 0.222897 highest self-reported obesity 0.576944 Acrobat file 0.460132 additional state 0.214185 powerpoint slide presentation 0.740117 lowest self-reported obesity 0.54478 relative standard error 0.699783	CLICK HERE