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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1151	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Determinants of Exposure to Secondhand Smoke Among Vietnamese Adults: California Vietnamese Adult Tobacco Use Survey, 2007"2008 - CDC	Because smoking rates are high among Vietnamese men, we used data from the 2007–2008 California Vietnamese Adult Tobacco Use Survey to estimate secondhand smoke exposure and associated risk factors among Vietnamese nonsmokers. Thirty percent of nonsmokers were exposed to secondhand smoke (SHS) at home, 8% at work, 52% in bars, and 67% on a college campus. At home, odds of SHS exposure were greater for women than for men and for adults aged less than 40 years than for older adults. Odds of SHS exposure were higher for former smokers at work (among employed men) and among men when in bars. Future interventions should consider sex, age, and smoking history in efforts to prevent SHS exposure among Vietnamese adults.	Vietnamese women 0.466757 advanced tobacco control 0.483344 Vietnamese nonsmoking adults 0.498184 Vietnamese Community Health 0.484325 Vietnamese men 0.549357 high SHS exposure 0.606641 college campus 0.45053 associated risk factors 0.491572 American Cancer Health 0.447963 Smoking prevalence 0.45923 Vietnamese population 0.471616 Santa Clara County 0.510162 County Public Health 0.509501 Tobacco Control Program 0.480838 tobacco use survey 0.471722 strict smoking rules 0.462353 landline telephone survey 0.45038 English proficiency 0.447764 workplace SHS exposure 0.613544 SHS exposure 0.917014 Nicotine Tob Res 0.514485 tobacco control efforts 0.48025 smoking history 0.451215 high smoking rates 0.532817	California Vietnamese Adult 0.544644 California Department 0.448786 tobacco control strategies 0.448987 younger adults 0.451562 United States 0.446668 SHS health effects 0.611839 SHS attitudes 0.54676 Comprehensive Tobacco Control 0.448079 significant SHS exposure 0.591578 in-language population-based survey 0.445163 Public Health Department 0.508126 Clara County Public 0.508786 SHS knowledge 0.547724 Vietnamese adults 0.61054 Vietnamese nonsmokers 0.507333 Vietnamese American men 0.485332 secondhand smoke exposure 0.49891 home 0.484431 San Francisco 0.502676 SHS policies 0.537604 nonsmoking vietnamese adults 0.531903 Vietnamese populations 0.461601 Vietnamese Adult Tobacco 0.537384 et al 0.49116	CLICK HERE
4575	Centers for Disease Control and Prevention	Html	en	November 09, 2009: States Where Persons Infected with the Outbreak Strain of E. coli O157:H7 Live, United States, by State | E. coli CDC	Get the latest CDC information on the recent infections from ground beef, and find out what you can do to protect yourself and your family.	O157 0.415243 cluster 0.350488 CDC 0.326019 United States 0.616271 Maine 0.319414 ongoing case finding 0.491683 advanced secondary DNA 0.486648 strains 0.32509 human isolates 0.413858 number 0.33564 Massachusetts 0.319504 ill persons 0.406793 Beef 0.322224 E. coli 0.92108 outbreak strain 0.748083	secondary tests 0.402763 H7 Live 0.545352 Outbreak Investigations 0.483445 genetic associations 0.404089 New York 0.401489 California 0.319614 New Jersey 0.401805 Fairbank Farms 0.435125 persons 0.442845 New Hampshire 0.402122 Connecticut 0.319554 H7 Infections Associated 0.632985 Maryland 0.319464 Multistate Outbreak 0.493577 laboratory testing 0.40601	CLICK HERE
5630	Centers for Disease Control and Prevention	Html	en	Methylcyclohexane - NIOSH Pocket Guide to Chemical Hazards	null	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
6876	Centers for Disease Control and Prevention	Html	en	More Americans Got Seasonal Flu Vaccination in 2009-10 than in Previous Years	More Americans Got Seasonal Flu Vaccination in 2009-10 than in Previous Years - CDC	seasonal flu vaccination 0.696717 previous flu season 0.68622 CDC’s National 0.497785 school-located clinics 0.480955 Seasonal Flu Vaccinations 0.73587 Dr. Anne Schuchat 0.552134 Behavior Risk Factor 0.540885 Greatest Increase 0.498645 pregnant women 0.479418 Disease Control 0.495544 children 0.527996 Coverage —United States 0.679605 vaccination rates 0.534369 BRFSS survey 0.478292 percentage point jump 0.570956 Interim Results 0.560784 influenza vaccine 0.516483 chronic health 0.569473 chronic medical conditions 0.545015 H1N1 Flu Survey 0.622441 complete MMWR report 0.543511 additional opportunities 0.479478 seasonal flu 0.957688 NHFS respondents 0.487682 school-aged children 0.492493	Respiratory Diseases 0.484642 Seasonal Influenza Vaccination 0.782944 successful programs 0.479536 healthy adults 0.489576 chronic health condition 0.560418 chronic health conditions 0.555633 adults 0.490143 regular habit 0.483463 MMWR website 0.476488 annual flu vaccine 0.633194 CDC Report Shows 0.59367 State-Specific Seasonal Influenza 0.769039 BRFSS respondents 0.489013 highest percentage 0.489672 Dr. Schuchat 0.536742 H1N1 pandemic response 0.550654 50 states 0.479916 real success 0.479642 H1N1 influenza 0.510988 seasonal vaccine coverage 0.612553 2009-10 season 0.507977 eligible population 0.567712 greatest gain 0.489835 Vaccination Coverage —United 0.712827	CLICK HERE
6945	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012:11_0331	HIV infection, a communicable disease, and noncommunicable diseases (NCDs) are among the major health concerns worldwide. An estimated 33 million people live with HIV, two-thirds of them in sub-Saharan Africa, where three-fourths of all AIDS-related deaths occur.	NCDs 0.495412 major risk factor 0.394423 major risk factors 0.393478 sexually transmitted infection 0.420044 HIV programs 0.538434 noncommunicable diseases 0.367489 Integrated health systems 0.428279 integrated programs 0.413055 major health concerns 0.42705 chronic infectious diseases 0.415028 limited human resources 0.382783 positive health behaviors 0.414324 insufficient physical activity 0.392306 health management 0.384652 integrated approaches 0.400883 middle-income countries 0.794991 health systems 0.501247 World Health Organization 0.41936 similar vertical programs 0.417996 HIV infection increase 0.523869 Unsafe sexual behavior 0.391529 disease management programs 0.42776 chronic disease 0.435867 vertical approaches 0.367818 high-profile vertical program 0.392749	health workers 0.372131 weak health systems 0.45966 health care programs 0.426298 health needs 0.394687 different clinical interrelationships 0.393945 public health concern 0.416166 vertical programs 0.431914 HIV-family planning integration 0.38511 health care 0.442146 Different chronic diseases 0.420271 health care systems 0.413409 integrated HIV–NCD management 0.413406 dynamic health systems 0.412829 chronic diseases 0.469425 Different health 0.368103 health 0.566009 people 0.390894 management 0.454722 Public Health Service 0.402573 major chronic diseases 0.419869 antiretroviral treatments 0.39413 HIV infection 0.973626 chronic care programs 0.424326 NCD burden 0.373723	CLICK HERE
7446	Centers for Disease Control and Prevention	Html	en	A Brief History of NCEH - 1990-1994 Highlights	NCEH provides leadership to promote health & quality of life by preventing or controlling those diseases or disabilities resulting from interaction between people and the environment. Site has information/education resources on a broad range of topics, including asthma, birth defects, radiation, sanitation, lead in blood, and more.	health agencies screen 0.729662 environmental health 0.736747 human health 0.695419 national conference 0.732274 NCEH grant program 0.711146 new childhood lead 0.699479 New York City 0.696182 mental retardation 0.726093 children 0.709989 elevated blood lead 0.759085 public health surveillance 0.737542 state health departments 0.722057 public health advisor 0.698472 Selected Cancers Study 0.696385 new human exposure 0.758386 results 0.745989 neurotoxic health effects 0.696181 risk factors 0.773895 Eye Disease Study 0.724328 public health activities 0.695784 public health practice 0.734063 exposure 0.828242 National Environmental Health 0.721276 environmental exposure 0.707426 Conducts public health 0.717804	possible health effects 0.699203 troop exposure levels 0.738211 lead exposure 0.711583 health effects 0.789146 study 0.78853 MTBE exposure studies 0.716245 epidemiologic studies 0.754878 potential exposure effects 0.698371 federal health agencies 0.699347 adverse health effects 0.754194 new oxygenated gasoline 0.698662 Risk Factor Study 0.698241 folic acid 0.734218 public health 0.979142 current serum levels 0.699135 American Public Health 0.698081 collaborative study 0.696532 National Childhood Lead 0.712387 birth defects 0.757265 public health assistance 0.698985 hydrocarbon pesticides 0.697638 childhood lead poisoning 0.929516 lead poisoning prevention 0.821538 blood lead levels 0.997454	CLICK HERE
9479	Centers for Disease Control and Prevention	Html	es	El valor potencial de la radio dirigida a audiencias negras para divulgar mensajes de salud y reducir disparidades	null	Hall IJ 0.623161 salud pública 0.918147	Johnson-Turbes CA 0.587621 Williams KN 0.624604	CLICK HERE
9640	Centers for Disease Control and Prevention	Html	en	Global Health - China - Stories From The Field	null	Shan Dong province 0.466234 major risk factors 0.419552 new food 0.273301 high sodium intake 0.488227 major contributor 0.285557 restaurant food 0.275326 cartoon videos 0.258663 China Ministry 0.2906 hypertension efforts 0.492378 salt consumption 0.467807 heart disease 0.281318 technical assistance 0.271198 Shandong Family Cooking 0.468453 news releases 0.26464 salt intake 0.987966 US-China collaboration 0.273117 noncommunicable disease 0.27736 Shan Dong 0.490504 government agencies 0.266791 national average 0.271295 salt reduction program 0.874629 BETTER HEALTH 0.263677	radio lectures 0.264397 low-sodium foods 0.260794 adult hypertension rates 0.658744 Shandong provincial government 0.491865 populous province 0.291524 adult population 0.273131 sodium content 0.2763 numerous mass media 0.402895 N’T SUFFER 0.287194 SHANDONG SALT REDUCTION 0.701959 government-lead salt reduction 0.612999 comprehensive strategy 0.268271 northeastern seaboard 0.277588 food labels 0.27352 china 0.3291 highest award 0.25767 hypertension patients 0.586436 project slogan 0.274021 salt reduction. 0.497731 Ms. Gao Yujuan 0.477837 hypertension 0.806317 gao yujuan 0.486278	CLICK HERE
12197	Centers for Disease Control and Prevention	Html	en	For General Healthcare Settings in West Africa: SafelyCleaning and Disinfecting Areas Used by Patients with Confirmed orSuspected Ebola | Ebola Hemorrhagic Fever | CDC	null	Ebola care centers 0.637023 Rubbish bin 0.433788 clean patient care 0.560994 Ebola transmission 0.48138 proper management 0.698825 proper places 0.436083 facility waste management 0.547402 limited laboratory studies 0.537695 healthcare facility 0.555983 chlorine solution 0.793931 environmental cleaning 0.47212 waste 0.725457 personal protective equipment 0.538175 CDC’s guidance 0.531861 nondisposable PPE components 0.587668 patients 0.621885 Practice good hand 0.518908 proper cleaning 0.581362 body fluids 0.750717 visible dirt 0.536835 confirmed Ebola virus 0.617596 improper waste disposal 0.552671 EVD 0.60024 blood pressure cuffs 0.512207 facility staff 0.45244	favorable conditions Ebola 0.594686 dirtiest areas 0.442794 disinfect patient areas 0.65905 hand hygiene 0.539927 clean areas 0.465117 clean chlorine solution 0.589426 Regular cleaning 0.587916 new infections 0.574023 spilled body fluids 0.555555 disinfection 0.702383 PPE 0.626549 chlorine solutions 0.454349 infection control 0.589682 healthcare staff 0.559211 important components 0.566127 toilet waste 0.455232 general medical waste 0.575657 high-risk activity 0.567173 reusable medical equipment 0.506177 general healthcare settings 0.927035 confirmed EVD 0.467587 Ebola treatment units 0.62944 healthcare workers 0.558859 disposable towels 0.639356	CLICK HERE
16465	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).	public statement 0.416155 CDC 0.417754 outbreak strains 0.469413 single nucleotide polymorphism 0.68989 Escherichia coli 0.432727 Human Services 0.468671 severe STEC infections 0.584857 U.S. Department 0.466998 goat dairy farm 0.562509 molecular subtyping laboratory 0.504874 direct contact 0.477347 electronic PDF version 0.477109 young children 0.495453 outbreak 0.475919 Zoonotic Infectious Diseases 0.473228 foodborne disease surveillance 0.499408 laboratory-confirmed E. coli 0.510306 epidemiologic link 0.649938 animal contact venues 0.486223 local health district 0.702242 Connecticut Department 0.528373 emergency department 0.430905 O157 infection 0.431932 pulsed-field gel electrophoresis 0.497284 1Epidemic Intelligence Service 0.478245	Public Health 0.507646 original MMWR paper 0.481578 culture-confirmed Shiga 0.422706 infection prevention measures 0.486038 farm visitors 0.607424 hemolytic uremic syndrome 0.522271 bacterial isolates 0.444434 goat farm 0.622268 potential sources 0.415569 E. coli 0.524914 outbreak strain 0.450227 physician-diagnosed HUS 0.425077 environmental samples 0.501268 potentially contaminated areas 0.478818 nucleotide polymorphism range 0.494574 PFGE-identified outbreak 0.469633 symptomatic persons 0.418604 hand washing stations 0.47894 clinical isolates 0.439415 3Laboratory Leadership Service 0.477654 bloody diarrhea 0.416264 STEC O157 0.900479 nucleotide polymorphism analysis 0.505968 potential disease risks 0.484777	CLICK HERE