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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
754	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Trends in Tobacco Smoke Exposure and Blood Lead Levels Among Youths and Adults in the United States: The National Health and Nutrition Examination Survey, 1999"2008 - CDC	Tobacco smoke is a source of exposure to thousands of toxic chemicals including lead, a chemical of longstanding public health concern. We assessed trends in blood lead levels in youths and adults with cotinine-verified tobacco smoke exposure by using 10 years of data from the National Health and Nutrition Examination Survey.	Second-hand smoke exposure 0.511938 government-defined poverty threshold 0.519892 United States 0.590733 Blood Lead Epidemiology 0.481975 self-reported nonsmokers 0.474839 relevant financial relationships 0.4883 adults 0.471556 unexposed nonsmokers 0.473104 low-level lead exposure 0.517626 smokers 0.493366 occupational exposure 0.490266 exposure groups 0.48649 Adult Blood Lead 0.486322 MMWR Morb Mortal 0.472217 NHANES job categories 0.510419 Patricia A. Richter 0.489024 Disease Control 0.589975 higher exposure 0.508049 lead exposure jobs 0.526585 smoking 0.487163 public health concern 0.508045 smoke exposure 0.778028 Nutrition Examination Survey 0.573004 public health 0.556515	smoke exposure level 0.541591 Morb Mortal Wkly 0.472216 poverty threshold 0.616788 higher SHS exposure 0.717653 lower exposure 0.505153 secondhand smoke exposure 0.570241 cotinine-verified tobacco smoke 0.49545 higher BLLs 0.484316 Consumer Price Index 0.51526 BLLs 0.510413 National Health 0.531083 Chronic Disease Prevention 0.481409 SHS exposure 0.931938 in-home lead exposure 0.51561 Ellen E. Bishop 0.490878 nonsmokers 0.572703 involuntary exposure 0.482118 environmental exposure 0.479837 tobacco smoke exposure 0.72362 lower SHS exposure 0.668943 higher mean BLLs 0.482875 lead exposure 0.610361 blood lead levels 0.840188	CLICK HERE
941	Centers for Disease Control and Prevention	Html	en	Highlights: Minors' Access to Tobacco	CDC's Office on Smoking and Health offers information related to smoking and tobacco use.	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
6195	Centers for Disease Control and Prevention	Html	en	Predictors of repeated PSA testing among black and white men from the Maryland Cancer Survey, 2006.	null	recent PSA test 0.366462 high-risk prostate cancer 0.283254 health insurance 0.345875 Self-reported repeated PSA 0.408098 PSA testing 0.991583 PSA velocity 0.415372 single PSA concentration 0.345023 initial PSA measurement 0.324966 blacks 0.292815 prostate cancer detection 0.283247 whites 0.281049 National Comprehensive Cancer 0.271725 white men 0.326189 PSA tests 0.45312 single PSA 0.363914 telephone numbers 0.266629 serum PSA 0.356659 Maryland Cancer Survey 0.287342 age groups 0.274896 Cancer Network guidelines 0.271594 prostate cancer aggressiveness 0.283481 PSA test 0.552332 Comprehensive Cancer Network 0.272417 PSA concentration 0.364038 prostate cancer testing 0.300163	United States 0.27096 age group 0.29225 individual PSA screening 0.353788 repeated PSA testing 0.379858 PSA level 0.364857 cancer screening rates 0.270973 men 0.425021 self-reported PSA testing 0.365916 PSA screening 0.356288 health care 0.348207 black men 0.356089 race 0.301558 prostate cancer screening 0.363932 initial PSA testing 0.350402 high PSA velocity 0.347289 prostate cancer 0.888705 higher proportion 0.26593 family history 0.372093 repeat PSA testing 0.351782 PSA question 0.324863 serum PSA levels 0.348273 Cancer Screening Trial 0.272204 single PSA measurement 0.360623 low PSA concentrations 0.347884	CLICK HERE
6331	Centers for Disease Control and Prevention	Html	en	Using the community readiness model to select communities for a community-wide obesity prevention intervention.	null	Community Psychol 0.272018 obesity prevention program 0.251608 broad community participation 0.255906 address childhood obesity 0.264074 community coalition 0.276998 M. Community readiness 0.302024 community decision makers 0.290239 community-based obesity research 0.273633 community knowledge 0.29135 obesity prevention programs 0.28946 community climate 0.38622 study team 0.493045 community efforts 0.30993 obesity prevention 0.652413 food service 0.358569 childhood obesity prevention 0.58477 obesity prevention intervention 0.31412 obesity interventions 0.259012 community readiness 0.675599 obesity prevention efforts 0.286276 school food service 0.287292 community 0.828785 efforts 0.317263 randomized community intervention 0.259592 Overall readiness scores 0.280487	community readiness key 0.306536 school district 0.255046 CRM 0.303086 community members 0.28405 community leaders 0.29728 obesity prevention model 0.280922 comprehensive obesity prevention 0.261846 Community Readiness Survey 0.304229 overall readiness score 0.317315 CRM protocol 0.284676 childhood obesity issue 0.276096 community readiness model 0.544671 L. Community readiness 0.30577 community-based obesity prevention 0.375962 childhood obesity intervention 0.303074 community prevention coalitions 0.246755 community readiness measure 0.311644 community capacity 0.272587 physical activity 0.31371 mean readiness score 0.287508 food service director 0.274333 multilevel community interventions 0.275298 childhood obesity 0.968163 community coalition representative 0.256705	CLICK HERE
7043	Centers for Disease Control and Prevention	Html	en	Work-Related Asthma - 38 States and District of Columbia, 2006-2009	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.	work-exacerbated asthma 0.60086 occupational asthma 0.605161 current asthma prevalence 0.661665 WRA range 0.630927 ACBS participants 0.511611 Risk Factor Surveillance 0.476019 estimated proportion 0.488259 health risk behaviors 0.484755 WRA diagnosis 0.674996 adult asthma 0.568565 asthma care 0.583385 severe asthma 0.560656 national health agencies 0.487151 current asthma 0.949653 BRFSS 0.517781 similar occupational exposures 0.486921 new onset asthma 0.638144 occupation information 0.486847 annual average 0.54424 asthma morbidity 0.569303 WRA prevalence 0.638084 WRA respondents 0.633617 proportion 0.521608 ever-employed adults 0.584609 United States 0.478076	WRA 0.902497 WRA epidemiology 0.613885 preventive health practices 0.484725 work-related asthma 0.705842 states 0.546174 concurrent asthma 0.599312 preventable occupational lung 0.481373 BRFSS respondents 0.484696 state asthma programs 0.597575 estimated annual average 0.491515 expanded WRA surveillance.** 0.644904 WRA management 0.626341 random-digit–dialed telephone survey 0.47654 BRFSS completion date 0.48268 BRFSS state coordinators 0.477108 health 0.524666 Gretchen E. Knoeller 0.521599 ACBS 0.650735 American Thoracic Society 0.477722 WRA cases 0.713398 asthma symptoms 0.611736 information 0.505827 WRA surveillance 0.654288 Asthma Call-Back Survey 0.621432	CLICK HERE
7550	Centers for Disease Control and Prevention	Html	en	Update on Vaccine-Derived Polioviruses - Worldwide, April2011-June 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.	genetically distinct aVDPV2s 0.58483 sewage samples 0.765584 corresponding OPV strain 0.604366 genetically related VDPV 0.537846 unvaccinated AFP patients 0.623889 oral poliovirus vaccine 0.559333 poliovirus serotypes 0.564196 highly divergent aVDPV2s 0.602431 AFP 0.92699 Polio Laboratory Network 0.605627 AFP patients 0.77479 low poliovirus vaccine 0.639061 AFP cases 0.597464 prolonged iVDPV infections 0.64319 poliovirus vaccination coverage 0.539178 vaccination coverage 0.66973 OPV 0.703481 primary immunodeficiency 0.654611 VDPV circulation 0.611944 OPV coverage 0.585097 iVDPV infections 0.648363 polio vaccination coverage 0.588852 middle-income countries 0.577541	World Health Organization 0.730505 VDPVs 0.705889 genetically related VDPVs 0.527278 divergent aVDPVs 0.572075 immunologically normal OPV 0.544599 inactivated poliovirus vaccine 0.588075 poliovirus vaccine coverage 0.691586 high poliovirus vaccine 0.532867 common variable immunodeficiency 0.637255 severe combined immunodeficiency 0.539073 low OPV coverage 0.57622 persons 0.634684 AFP patient 0.818899 primary immunodeficiencies 0.69924 global poliovirus surveillance 0.531367 high OPV coverage 0.540259 newly identified persons 0.548551 insensitive AFP surveillance 0.620634 Global Polio Laboratory 0.603898 previously reported VDPV 0.535164 high vaccination coverage 0.61824 polio eradication efforts 0.529512 highly divergent aVDPV2 0.609456	CLICK HERE
8288	Centers for Disease Control and Prevention	Html	en	Mobile Device Use While Driving - United States and SevenEuropean Countries, 2011	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.	EuroPNStyles survey respondents 0.291163 Alternate Text 0.288552 representative telephone survey 0.267709 public relations firm 0.267084 mobile communication technologies 0.36583 recent national estimates 0.266344 risky driving behaviors 0.354089 road traffic crashes 0.371217 Rebecca B. Naumann 0.308606 similar survey methods 0.270911 Ñ?ЛП Road traffic 0.269736 alcohol-impaired driving 0.311606 U.S. adult drivers 0.268111 percentages 0.315638 countries 0.325434 significantly larger percentage 0.306214 worldwide social marketing 0.266362 text message 0.338844 global public health 0.317808 weighted percentage 0.367568 cell phone capabilities 0.287894 drivers 0.293068 United States 0.790601 phone use laws 0.287373 age group 0.283913	differences 0.274409 phone technological advances 0.271149 Response choices 0.415985 fall HealthStyles survey 0.415922 cell phone 0.95477 public education campaigns 0.35906 prevalence estimates 0.267009 prevalence 0.297523 HealthStyles data analyzed 0.276819 high-visibility enforcement 0.301455 seat belt nonuse 0.36212 injury prevention 0.291031 e-mail messages 0.542365 cell phones 0.272791 HealthStyles survey data 0.286202 Population Survey proportions 0.272251 spring HealthStyles survey 0.395115 United Kingdom 0.271437 self-reported mobile device 0.275568 distracted driving–related crashes 0.268938 mobile device 0.625597 public health problem 0.317804 HealthStyles survey responses 0.27865 HealthStyles survey 0.459228	CLICK HERE
12579	Centers for Disease Control and Prevention	Video	en	Ebola PSA from First Lady of Guinea, Hadja Djene Kaba Condé (in French)	(In French) The First Lady of Guinea, Hadja Djene Kaba Condé, delivers a PSA about Ebola. Washing hands well can help protect yourself and your family from Ebola and also other diseases. Ebola is a very serious disease. But it is possible to survive and heal with proper medical treatment. If you or someone you know thinks he has the disease, go to the hospital immediately for treatment. Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html This video can also be viewed at http://www.cdc.gov/vhf/ebola/resources/videos/ebola-first-lady-guinea-psa.mp4	Djene Kaba Condé 0.99122 Guinea 0.33821 Hadja 0.216911	YouTube 0.351326 Lady 0.217424	CLICK HERE
13857	Centers for Disease Control and Prevention	Html	en	Infertility | Reproductive Health | CDC	Reproductive Health	sperm production 0.524783 semen analysis 0.600885 health care provider 0.642338 specially prepared sperm 0.517308 ovarian function 0.64747 normal ovarian function 0.520943 uterus 0.600039 different infertility diagnoses 0.561213 benign pituitary gland 0.615344 Intracytoplasmic sperm injection 0.516168 Assisted Reproductive Technology 0.599488 reproductive technology 0.677721 pituitary gland tumor 0.615234 pituitary glands 0.600955 ovarian reserve 0.578814 couples 0.519787 success rates 0.616472 ovulation predictor kit 0.523723 certain types 0.52251 menstrual cycle 0.565895 reproductive endocrinologist—a doctor 0.522812 infertility issues 0.52809 women 0.819523 woman 0.823633	United States 0.651925 intrauterine insemination 0.531801 art success rates 0.569109 donor sperm 0.545917 pituitary gland 0.763439 male factor infertility 0.723679 polycystic ovary syndrome 0.671612 mature eggs 0.599725 fallopian tube 0.59554 American Urological Association 0.602271 improper function 0.542096 infertility treatment 0.568704 donor eggs 0.560118 sperm 0.589989 infertility 0.98944 male infertility 0.573787 National Infertility Association 0.567182 unexplained infertility 0.529668 vitro fertilization 0.596286 female infertility 0.635849 infertility diagnosis 0.526698 fallopian tubes 0.643233 ART procedures 0.540437 age 0.544828	CLICK HERE
15657	Centers for Disease Control and Prevention	Html	null	Cases in Pregnant Women	Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention.			CLICK HERE