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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5753	Centers for Disease Control and Prevention	Html	en	Methyl bromide - 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
6375	Centers for Disease Control and Prevention	Html	en	CDC Vital Signs: Overdoses of Prescription Opioid Pain Relievers --- United States, 1999-2008 - Press Briefing Transcript: November 1, 2011	CDC Vital Signs: Overdoses of Prescription Opioid Pain Relievers --- United States, 1999—2008	Gil Kerlikowske 0.61668 Dr. Jones 0.313311 prescription narcotics. 0.374357 prescription drug abuse 0.655703 prescription drugs 0.54652 prescription benefit managers 0.379657 prescription opioids 0.562139 national prescription drug 0.441086 prescription drug aversion 0.431819 drug monitoring programs 0.535036 doctor shopping 0.355423 patients 0.324741 Miriam Falco 0.330979 emergency department 0.342221 health care costs 0.34592 pill mills 0.343246 state–based prescription drug 0.432265 drug control policy 0.427493 inappropriately using prescription 0.363028 jones.  Dr. Frieden 0.364394 prescription overdoses 0.386048 Thomas Frieden 0.779626 national drug control 0.479211 Chris Jones 0.429535	prescription pain killer 0.411577 prescription opioids. 0.358432 federal government 0.318975 drug abuse deaths 0.382597 opioid pain relievers 0.316734 prescription benefits managers. 0.382502 Tom Skinner 0.451508 states 0.382835 prescription drug overdose 0.47643 health care 0.610593 prescription pain killers 0.447556 prescription drug 0.973703 prescription drug monitoring 0.64171 question 0.377295 America′s prescription drug 0.431482 prescription drug abuse. 0.431223 prescription history 0.352838 Drug Control Policy. 0.320542 all–day prescription drug 0.421647 people 0.38606 chronic opioid therapy. 0.32128 prescription narcotics 0.414532 prescription pain disorder 0.388183 Dr. Frieden 0.680802	CLICK HERE
6951	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012:11_0190	The objective of this study was to assess the effect of the California WISEWOMAN program on low-income Latinas’s readiness to change physical activity and on self-reported physical activity behaviors.	North Carolina 0.472344 California WISEWOMAN 0.580636 enhanced intervention 0.490952 physical activity behavior-change 0.489212 low-income Latinas 0.477504 health promotion research 0.46655 physical activity behaviors 0.553042 moderate physical activity 0.531813 WISEWOMAN intervention studies 0.476594 WISEWOMAN program staff 0.4694 intervention studies 0.494437 physical activity changes 0.498168 M. Physical activity 0.480024 self-reported physical activity 0.598756 vigorous physical activity 0.703858 Carolina WISEWOMAN program 0.467153 blood pressure 0.496276 EIG 0.462469 self-reported readiness 0.47801 baseline 0.512636 California WISEWOMAN intervention 0.505137 vigorous activity 0.473409 intervention 0.520651 enhanced intervention group 0.479529	Physical activity training 0.478018 physical activity behavior 0.509119 women 0.572935 California WISEWOMAN program 0.557814 health promotion 0.481545 disease risk 0.46499 baseline assessment 0.496362 usual care 0.544158 Physical Activity Assessment 0.488737 public health 0.485999 African American women 0.48115 participants 0.461339 new physical activity 0.485267 follow-up assessments 0.475756 California WISEWOMAN study 0.521925 low-income Mexican women 0.473665 physical activity 0.923734 Womens Health 0.475993 self-reported behavior change 0.469644 WISEWOMAN study protocol 0.472549 intent-to-treat mixed models 0.471737 non-Hispanic white women 0.478529 incorporate physical activity 0.483572 new physical activities 0.483225	CLICK HERE
7341	Centers for Disease Control and Prevention	Html	en	Notifiable Diseases and Mortality Tables - August 24, 2012	Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov.	H. influenzae 0.497254 rubella case 0.455803 CDC 0.42571 novel influenza 0.698844 NCIRD 0.323888 pandemic influenza 0.916873 measles cases 0.483047 ** Data 0.469521 S. pneumoniae 0.473681 susceptible cases 0.452879 probable cases 0.473186 reporting 0.326147 influenza A virus 0.586992 virus infections 0.476877 National Center 0.442592 strain 0.331484 Immunization 0.332705	viruses 0.328677 cases 0.506163 Table 0.328324 Case definition 0.435418 Total case counts 0.561521 serotypes 0.328394 normally sterile body 0.569258 invasive Streptococcus pneumoniae 0.595567 Cumulative total E. 0.559189 site 0.323203 Influenza Division 0.559744 2009 pandemic 0.775952 Respiratory Diseases 0.446337 ages 0.35051 Isolation 0.327205 Includes drug resistant 0.548838	CLICK HERE
7489	Centers for Disease Control and Prevention	Html	en	Veterans Health Activities - Gulf War Studies - Potential Health Impact on Saudi Arabia National Guard Members	CDC's National Center for Environmental Health (NCEH) has taken the lead for HHS in addressing the health concerns of veterans of the Vietnam War and the Gulf War, and NCEH is working with the Departments of Defense and Veterans Affairs to protect the health of our future military forces.	study 0.368013 SANG soldiers 0.869323 combat-exposed group 0.505084 CDC 0.342873 Smith TC 0.70541 Saudi-United States collaboration 0.651546 collaborative effort 0.526458 Gackstetter DG 0.51206 combat area 0.507973 Infection Control 0.490641 health research 0.502972 unusual patterns 0.505713 risk ratio 0.509968 troops 0.344228 Epidemiology 0.334212 non-combat area 0.551743 Riyadh 0.356478 Saudi Arabia 0.851605 health outcomes 0.53262 Schlangen KM 0.498844 investigators 0.335685 Al Qahtani MS 0.960192	Department 0.336791 Gulf War 0.48762 Saudi Arabia National 0.835575 Hooper TI 0.755958 Memish ZA 0.72545 Al Khafji 0.571238 National Guard Soldiers 0.743486 Barrett DH 0.505382 Gray GC 0.491227 team 0.33633 American Journal 0.490052 diagnoses 0.345309 Defense 0.336759 hospitalization data 0.700268 overall number 0.496617 potential health impact 0.664351 absolute difference 0.500525 hospitalization rates 0.673765 et al 0.666389 confidence interval 0.521501 International Journal 0.489167 health researchers 0.546517	CLICK HERE
7732	Centers for Disease Control and Prevention	Html	en	Vital Signs: HIV Infection, Testing, and Risk BehaviorsAmong Youths - United States	Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov.	new HIV infections 0.905157 injection drug 0.407362 male-to-male sexual contact 0.564798 newly infected youths 0.318495 risk behaviors 0.424869 HIV prevention 0.374666 HIV progression 0.331992 blacks/African Americans 0.401796 higher HIV prevalence 0.361012 urban school districts 0.360479 acute HIV infection 0.371953 primary HIV infection 0.363719 Youth Risk Behavior 0.361849 community-level HIV prevention 0.345729 HIV risk behaviors 0.390241 high risk youths 0.311359 behavioral HIV interventions 0.351966 sexual intercourse 0.371907 HIV prevention services 0.356323 males 0.368074 HIV risk 0.415533 persons 0.346361 Routine HIV testing 0.354425 new HIV infection 0.384806	large urban school 0.363269 United States 0.382964 youths 0.465392 National HIV Surveillance 0.432365 HIV diagnosis 0.396674 hiv incidence surveillance 0.377063 HIV prevention education 0.352293 HIV transmission 0.335539 public health 0.298862 HIV acquisition 0.3354 HIV risk factor.** 0.380159 recent HIV seroconversion 0.340507 black/African American youths 0.316934 high school students 0.424203 early HIV diagnosis 0.354972 HIV care 0.328358 HIV risk factors 0.395647 9th–12th grade students 0.328587 HIV prevention interventions 0.35716 HIV testing 0.460673 Risk Behavior Surveillance 0.297248 et al 0.292836 young MSM 0.341465 sexual health services 0.303441	CLICK HERE
8548	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Prevalence of Waterpipe TobaccoSmoking Among Population Aged 15 Years or Older, Vietnam, 2010 -CDC	The prevalence of waterpipe tobacco smoking is increasing globally and is associated with adverse outcomes requiring tobacco control interventions. We estimated the prevalence of waterpipe tobacco use among adult populations in Vietnam in 2010 and examined its association with sociodemographic factors.	adult waterpipe smokers 0.292117 tobacco waterpipe 0.316192 age group 0.281095 highest smoking rates 0.277823 current waterpipe smoking 0.32491 current waterpipe smokers 0.287299 waterpipe use prevalence 0.270095 waterpipe smoking prevalence 0.321051 cigarette smoking 0.272167 waterpipe tobacco smokers 0.353948 prevalence 0.335973 adverse health effects 0.289277 Vietnam 0.331945 Mekong River Delta 0.307976 tobacco control programs 0.329252 Global Tobacco Surveillance 0.291207 P. Waterpipe smoking 0.289282 waterpipe smoking 0.435625 Adult Tobacco Survey 0.326594 waterpipe tobacco smoking 0.979715 waterpipe smokers 0.311178 public health 0.288247 GATS Vietnam 0.284649 waterpipe tobacco control 0.314462	smoking causes disease 0.270509 World Health Organization 0.37501 current waterpipe tobacco 0.448907 tobacco smoking status 0.32404 cigarette tobacco 0.27153 tobacco health warnings 0.295813 Global Adult Tobacco 0.32618 nonwaterpipe tobacco smokers 0.297319 BMC Public Health 0.274041 Vietnam waterpipe smoking 0.326754 key tobacco control 0.296392 tobacco control policies 0.298 global tobacco epidemic 0.278899 tobacco products 0.304112 smoking causes diseases 0.270191 Hanoi Medical University 0.293988 tobacco control interventions 0.30484 tobacco use epidemic 0.278528 geographic region 0.278791 tobacco use control 0.288628 General Statistics Office 0.275561 tobacco control 0.399983 health effects 0.314339	CLICK HERE
11547	Centers for Disease Control and Prevention	Html	en	CDC Telebriefing: New Vital Signs Report What can be done to help children eat less sodium? | Transcript | CDC Newsroom | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	ePub file 0.664553 Audio/Video file 0.626536 FOIA 0.493424 Email CDC-INFO 0.590708 Policies 0.431778 Funding 0.441704 Tweet 0.480607 MENU CDC A-Z 0.930535 Human Services 0.588278 U.S. Department 0.589495 Privacy 0.446113 Clifton Road Atlanta 0.762876 Jobs 0.432182	TTY 0.481182 GA 0.439971 SEARCH 0.438258 OIG 0.492399 YouTube 0.462473 Fear 0.44795 RSS 0.445282 Act 0.430671 Text file 0.607935 Instagram 0.433038 SAS file 0.628457 RealPlayer file 0.633956	CLICK HERE
12330	Centers for Disease Control and Prevention	Html	en	Personal Protective Equipment (PPE) | Ebola Virus Disease	null	Ebola Virus Infection 0.672008 Interim U.S. Guidance 0.48762 Ebola Questions 0.641259 Africa Ebola Outbreak 0.69405 Confirmed Ebola Patients 0.707942 Previous Outbreak Updates 0.481831 Interfacility Transport Guidance 0.478502 Potential Ebola Virus 0.689178 page options Skip 0.465108 Clinically Unstable PUIs 0.497647 PPE Donning 0.490638 Sierra Leone Vaccine 0.483203 Ebola Treatment Centers 0.669702 Outbreak Preparedness 0.464464 Clinically Stable PUIs 0.49382 Emergency Department Guidance 0.479623 Web-based PPE Training 0.517303 Disinfecting Hospital Guidance 0.481963 Ebola Epidemic 0.631393 Ebola Assessment Hospitals 0.640293 Virus Exposure Influenza 0.47593 Ebola Diagnosed 0.631795 Ebola PPE 0.72088 U.S. Healthcare Workers 0.466715	Current Ebola Treatment 0.643378 Sierra Leone 0.501164 Search Form Controls 0.51018 Patient Handoff SOP 0.486428 Confirmed Ebola Virus 0.669478 West Africa Outbreak 0.496942 Ebola Hemorrhagic Fever 0.676476 Ebola Virus Disease 0.818979 Suspected Ebola Patients 0.644013 Personal Protective Equipment 0.631934 Ebola Survivors Questions 0.655864 PPE Supply 0.519616 Tiered Approach 0.472925 Healthcare Settings Guidance 0.497473 Outbreak Distribution Map 0.481052 Search Controls 0.463893 Handling Untreated Sewage 0.485179 Ebola Transmission 0.6166 Ebola Virus Exposure 0.688606 Interim Guidance 0.469236 Ebola Response Planning 0.650089 PPE Calculator 0.518452 Ebola Virus 0.914361 West Africa 0.52527	CLICK HERE
13008	Centers for Disease Control and Prevention	Html	en	Mark's Story | Real Stories | Tips From Former Smokers	Mark smoked and got colorectal cancer. His full story and his videos are part of CDC's Tips From Former Smokers campaign.	frightening news 0.601634 harm 0.295504 TV ad 0.579983 abdomen 0.312395 Mark 0.859564 Persian Gulf 0.638881 Mark share 0.560029 mom 0.280931 smokers 0.287947 danger 0.284825 chemotherapy 0.294115 tours 0.279243 life 0.276906 ‘I 0.278037 smoking 0.482434 ostomy bag 0.618621 tip 0.278004 Treatments 0.273964	fight 0.278063 teenager 0.31268 military veteran 0.559546 colorectal cancer 0.869832 active military duty 0.943645 rectal cancer 0.636103 California 0.287114 friends 0.286668 Julia 0.366292 halt 0.309383 smokeless tobacco 0.659559 just—it 0.277547 radiation 0.274834 cigarettes 0.294516 especially young people 0.895955 Air Force 0.676306 age 0.278836	CLICK HERE