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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
6260	Centers for Disease Control and Prevention	Html	en	FASD - Past Activities	FASDs are 100% preventable if a woman does not drink alcohol during pregnancy. There is no known safe amount of alcohol to drink while pregnant. There is also no safe time during pregnancy to drink and no safe kind of alcohol.	State Resource Directory 0.477883 Tribal Justice Systems 0.469763 local levels 0.477156 Health Care Center 0.503822 Track current media 0.485763 Arctic FASD Regional 0.567268 related conditions 0.4745 Regional Training Centers 0.527154 public health networks 0.499802 K-12 FASD Education 0.578392 Lakes FASD Regional 0.568545 Current Problems 0.559006 Double ARC 0.503883 separate training curricula 0.48417 Patient Care Center 0.487727 Healthy Path curriculum 0.473083 justice systems personnel 0.520977 FASD Public Awareness 0.580858 brief intervention 0.469138 FASD Regional Training 0.913007 Adolescent Health Care 0.682947 primary care provider 0.475952 fetal alcohol spectrum 0.891013 FASD prevention 0.619876 adolescent care providers 0.484383	4-year cooperative agreement 0.476302 healthcare providers 0.46874 FASD Toolkit 0.523661 FASD Competency-Based Curriculum 0.575876 Regional Training Center 0.748518 Read Summary 0.610452 Frontier FASD Regional 0.566682 Allied Health Education 0.486194 Media Outreach Center 0.492801 Southeastern FASD 0.529629 NOFAS Information Clearinghouse 0.483158 appropriate health care 0.489179 family support groups 0.477687 Public Health Program 0.482552 FASDs 0.474733 Fetal Alcohol Syndrome 0.663657 Midwestern FASD Regional 0.566605 NOFAS Affiliate Network 0.484155 alcohol spectrum disorders 0.873759 CDC funds FASD 0.576602 educational curricula 0.4745 Alcohol Syndrome Awareness 0.503857 alcohol SBI 0.470481 Fetal spectrum disorders 0.500797	CLICK HERE
6383	Centers for Disease Control and Prevention	Html	en	Young adults' perceptions of cigarette warning labels in the United States and Canada.	null	study participants 0.419239 Canadian cigarette labels 0.476748 young adult smokers 0.438533 Linda L. Pederson 0.423221 focus group sessions 0.460651 current smokers 0.426061 text-only cigarette 0.419572 Canadian cigarette label 0.490939 U.S. cigarette 0.63168 white warning text 0.434383 Smoking This Cigarette 0.437441 tobacco warning labels 0.448534 cigarette warning messages 0.496972 recent graduate group 0.70001 cigarette warning labels 0.995019 decrease cigarette consumption 0.463972 young adults 0.428923 cigarette package warnings 0.427929 Canadian cigarette 0.678416 large graphic warning 0.44921 Canadian warning labels 0.501572 United States 0.492426 warning label size 0.422902 new warning labels 0.468332 smokers 0.596533	current U.S. cigarette 0.45636 health warning labels 0.516098 focus groups 0.579918 smoking 0.551118 U.S. cigarette packages 0.490447 smoking health hazards 0.415699 participants 0.634324 graphic warning labels 0.55515 U.S. cigarette package 0.444859 cigarette label health 0.443923 Federal Cigarette Labeling 0.431866 Detroit metropolitan area 0.440059 focus group participants 0.494572 Cigarette smoking 0.452863 Canadian cigarette packages 0.443048 listing cigarette ingredients 0.424224 text-only warning labels 0.468541 explicit graphic warning 0.435086 cigarette packages 0.859014 focus group 0.556838 U.S. warning labels 0.517667 health risks 0.415369 various cigarette brands 0.415376 cigarette label text 0.451249	CLICK HERE
6717	Centers for Disease Control and Prevention	Html	en	Malaria Surveillance - United States, 2010	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.	reported malaria cases 0.333089 CDC 0.262625 malaria chemoprophylaxis 0.35775 P. malariae 0.275702 falciparum cerebral malaria 0.25523 Uncomplicated Imported Malaria 0.239477 antimalarial drugs 0.259148 appropriate malaria prevention 0.257876 P. falciparum 0.745527 state health departments 0.243788 malaria infection 0.278485 additional malaria cases 0.263008 P. falciparum infection 0.279317 malaria prevention strategies 0.275881 ongoing malaria transmission 0.255122 patients 0.330478 malaria chemoprophylaxis regimen 0.251661 Malaria Hotline 0.246232 emergency department 0.240225 National Malaria Surveillance 0.285574 renal failure 0.262827 malaria infections 0.263298 P. ovale 0.286505 CDC malaria staff 0.25909 uncomplicated malaria infections 0.235775	malaria case surveillance 0.252939 severe malaria 0.352133 United States 0.896772 Malaria vector mosquitoes 0.242489 malaria 0.930646 P. vivax 0.426537 malaria acquisition 0.236894 effective malaria prevention 0.258043 P. falciparum cases 0.252122 malaria symptoms 0.234463 falciparum severe malaria 0.263201 CDC-recommended malaria chemoprophylaxis 0.246437 uncomplicated malaria 0.239743 falciparum malaria infection 0.257488 imported malaria cases 0.321949 malaria prevention recommendations 0.286299 cases 0.784194 P. falciparum malaria 0.345406 Malaria treatment recommendations 0.26176 malaria cases 0.484539 malaria prevention 0.328149 species 0.236687 malaria transmission 0.288045 malaria surveillance 0.32306	CLICK HERE
7270	Centers for Disease Control and Prevention	Html	en	Preconception Health Indicators Among Women - Texas,2002-2010	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.	health-care insurance coverage 0.445295 preconception health evaluation 0.472331 preconception period 0.401993 suboptimal preconception health 0.528984 higher prevalence 0.481494 binge drinking 0.414102 high school education 0.402957 non-Hispanic black women 0.483318 daily multivitamin 0.568882 unfavorable preconception health 0.496504 Hispanic women 0.472584 actual preconception health 0.443221 unintended pregnancy 0.440452 health conditions 0.422914 preconception health †† 0.457468 measurable preconception health 0.447607 Texas women 0.440104 chronic medical conditions 0.397437 pregnancy 0.718915 response rate 0.401288 minimal nonresponse bias 0.395988 daily multivitamin intake 0.388894 preconception health profiles 0.444477 preconception health status 0.484941 health-care visit 0.39094	preconception care 0.558055 preconception health care 0.494923 preconception health-care services 0.565066 low-income women 0.399136 health-care interventions 0.450015 Evidence-based preconception interventions 0.421226 women 0.767022 adverse pregnancy outcomes 0.516385 State Health Services 0.426771 health-care providers 0.388215 preconception care services 0.46478 daily multivitamins 0.42114 Pregnancy Risk Assessment 0.398345 preconception health 0.93423 preconception indicators 0.40422 time preconception health 0.450752 prenatal vitamin 0.405969 health-care coverage 0.88912 U.S. health-care 0.3906 essential preconception care 0.460521 daily multivitamin consumption 0.394781 preconception health indicators 0.815045 non-Hispanic white women 0.521778 Noha H. Farag 0.392853	CLICK HERE
7388	Centers for Disease Control and Prevention	Html	en	Emerging Infectious Disease Journal (EID) News Synopsis: October 2012	EID News Synopsis: October 2012	Army Health Clinic 0.708825 Afghan people 0.622292 A. Hamer 0.609994 Public Relations 0.60936 surgical treatment 0.614795 Angela G. Clendenin 0.691719 military policies 0.611978 secondary infections 0.630007 major health risk 0.712805 contact 0.647675 service members 0.611058 South America.  Limited 0.693634 healthy monkeys 0.655691 bacterial infections 0.633863 sterile saline 0.613278 antimicrobial drugs.  Doctors 0.70312 bare-handed contact 0.618476 Integrative Bioscience Department 0.687651 chronic sinus infection 0.912453 animal bites 0.638034 Afghan National Security 0.715224 recent study 0.710402 Infectious Diseases 0.618914 CDC Media Relations 0.702356 monkey bites 0.735842	foodborne norovirus outbreak 0.697232 tap water 0.612366 ready-to-eat foods 0.689567 luke.mease@us.army.mil 0.611283 U.S. military personnel 0.715382 public health journal 0.742485 Wellington S. Tichenor 0.709388 Aron J. Hall 0.687647 East China University 0.683142 U.S. Army 0.617803 animal contact 0.627124 New York 0.614606 infected food worker 0.709983 B-virus infection 0.644037 pet adoption 0.60912 military health care 0.71314 Luke E. Mease 0.694386 infected ticks 0.761745 p.m. EDT 0.634046 Afghan civilians 0.622684 monkeys.  Park visitors 0.687768 treatment-resistant sinus infection 0.767882 Migratory birds 0.611262 U.S. forces 0.611478	CLICK HERE
8344	Centers for Disease Control and Prevention	Html	en	Prevention Strategies - Suicide - Violence Prevention - Injury	null	Prevention Workshop. Ann 0.592976 lasting harmful effects 0.566195 suicide prevention planning 0.743207 mental health 0.592226 searchable online registry 0.56207 community connectedness 0.562131 youth. Eur Child 0.561956 psychosocial suicide prevention 0.706585 CDC Research Brief 0.571666 CDC research study 0.571423 Adolesc Psychiatr Clin 0.560992 suicide prevention interventions 0.762225 Effective prevention strategies 0.613749 Suicide Prevention Team 0.699034 National Registry 0.563902 suicide prevention programs. 0.698445 World Health Organization 0.568252 National Academies Press 0.564497 public health activities 0.573366 suicide prevention programs 0.70926 national strategy 0.59307 suicidal behavior 0.624858 DiGuiseppi C. Interventions 0.570381 state-based suicide prevention 0.718275 suicide prevention 0.968054	M. School-based suicide 0.673084 State Suicide Prevention 0.717977 Suicide prevention strategies 0.693789 D. Youth suicide 0.663717 public health approach 0.629001 school-based suicide prevention 0.75324 Prevent Suicidal Behavior 0.593302 primary prevention 0.564054 Youth Suicide Prevention 0.711512 mental health service 0.575532 Suicidal Risk. Suicide 0.698283 Suicide Prevention Resource 0.741612 substance abuse interventions 0.573758 D. Prevention Programs 0.604612 D. Suicide Prevention 0.697212 National Research Council 0.567664 systematic review 0.696921 nonfatal suicidal behavior 0.59182 broader social environment 0.56545 Prevention Resource Center 0.631578 public health problem 0.591013 Mental Health Services 0.581407 evidence-based programs 0.56076 Child Adolesc 0.56111	CLICK HERE
8998	Centers for Disease Control and Prevention	Video	en	CDC: Tips from Former Smokers -- Shane's Story	Shane, whose throat cancer was a result of smoking, discusses how he didn't realize the health complications that could result from tobacco use in this video from CDC's "Tips From Former Smokers" campaign. 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://streaming.cdc.gov/vod.php?id=48d4929f9e3c0e99750452465dab482320120517095316765 To learn more about tobacco control and prevention, go to BeTobaccoFree.gov	Shane 0.874473 Smokers 0.932887	CDC 0.92604 YouTube 0.871802	CLICK HERE
10323	Centers for Disease Control and Prevention	Html	en	HAN Archive - 00328- Meningitis and Stroke Associated with Potentially Contaminated Product	Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC).	North Carolina 0.222891 NECC facility 0.30152 direct microscopic examination 0.300154 new weakness 0.235674 public health departments 0.720051 elevated white cell 0.32829 Disease Control 0.345282 multistate investigation 0.238959 NECC products 0.309168 public health department 0.315544 previously listed medications 0.293333 injection site 0.223019 England Compounding Center 0.786614 patients 0.327809 infected patients 0.239523 deep brain stroke 0.313212 preservative-free methylprednisolone acetate 0.351754 symptoms 0.244551 methylprednisolone acetate 0.430091 FDA website 0.225634 New England Compounding 0.911601 state public health 0.748504 neck stiffness 0.324898 PM ET 0.230621 epidural/joint steroid injection 0.334769	fungal meningitis 0.413415 CDC Health Alert 0.402272 epidural steroid injection 0.397085 methylprednisolone acetate products 0.332866 unclear clinical significance 0.319067 Drug Administration 0.235935 CSF profile 0.229542 Aspergillus spp. 0.222948 enhances health decisions 0.31061 critical health issues 0.316254 state boards 0.231329 Propionibacterium acnes 0.222089 1Clinically diagnosed meningitis 0.368647 England Compounding Center. 0.326051 cases 0.270843 laboratory findings 0.221572 new neurological deficit 0.33665 peripheral joint space 0.311915 NECC 0.333851 case definition* 0.224819 low glucose 0.334053 steroid medication 0.369924 fungus Exserohilum rostratum 0.324049 potentially contaminated medication 0.342863	CLICK HERE
11998	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | The Impact of Cooking Classeson Food-Related Preferences, Attitudes, and Behaviors ofSchool-Aged Children: A Systematic Review of the Evidence,2003-2014 - CDC	Cooking programs have been used to promote healthful eating among people of all ages. This review assesses the evidence on childhood cooking programs and their association with changes in food-related preferences, attitudes, and behaviors of school-aged children.	food-related preferences 0.885228 cooking self-efficacy 0.75971 attitudes 0.700218 vegetable consumption 0.759286 control group 0.922588 two-hour cooking classes 0.663209 data collection methods 0.826536 intervention group 0.935937 children 0.782332 cooking lessons 0.825699 control groups 0.677461 cooking confidence 0.666254 hands-on cooking intervention 0.763885 in-school cooking program 0.668706 school-based cooking interventions 0.681326 elementary school children 0.681068 Health Practice Project 0.677935 Quality Assessment Tool 0.674738 community-based cooking program 0.674977 two-hour cooking lessons 0.676919 sessions Cooking lessons 0.675784 food preparation 0.927754 Weak Intervention group 0.695603 semester Cooking lessons 0.677281 vegetable preferences 0.695941	cooking programs 0.810386 basic cooking skills 0.703027 cooking intervention 0.819232 cooking education intervention 0.759523 Moderate Intervention group 0.688999 Nutr Educ Behav 0.79004 Effective Public Health 0.6761 Introduction Cooking programs 0.721697 Public Health Practice 0.677566 studies 0.770921 cooking 0.901834 public health 0.787174 cooking classes 0.721783 assessment Weak Intervention 0.670474 cooking interventions 0.73343 Lohse B. Cooking 0.669356 Acad Nutr Diet 0.686155 systematic review 0.699359 period Cooking lessons 0.702351 Kamp J. Cooking 0.662803 childhood cooking programs 0.789155 et al 0.693469 home food preparation 0.694798 assessment Strong Cooking 0.672235	CLICK HERE
13291	Centers for Disease Control and Prevention	Html	en	Geographic Disparity of Severe Vision Loss - United States, 2009-2013	Karen A. Kirtland, PhD1; Jinan B. Saaddine, MD1; Linda S.	county-level prevalence 0.712784 federal poverty level 0.741046 United States 0.783726 routine eye examinations 0.676684 certain eye diseases 0.681875 county level correlation 0.67525 higher prevalence 0.676216 poverty thresholds 0.702381 U.S. Census Bureau 0.736463 eye care provider 0.686794 eye health knowledge 0.684996 eye care services 0.806041 county poverty 0.702412 eye care 0.812727 National Eye Institute 0.685763 ACS 5-year county 0.683133 county prevalence 0.684495 Jinan B. Saaddine 0.679366 Paul P. Lee 0.679131 SVL prevalence 0.892876 higher poverty rates 0.722483 Distinct geographic patterns 0.678029 Mary F. Cotch 0.679159 comprehensive dilated eye 0.684215	southern states 0.677258 poverty level 0.873439 Ted J. Thompson 0.674854 health care services 0.678151 American Community Survey 0.677483 proper eye-safety practices 0.72882 ACS county-level estimates 0.711796 high prevalence 0.678231 high poverty levels 0.726331 Linda S. Geiss 0.677519 2National Eye Institute 0.679687 persons 0.673094 U.S. counties 0.679404 eye examination 0.67864 Karen A. Kirtland 0.740781 eye examinations 0.678515 U.S. Census 0.75909 family eye health 0.739007 SVL prevalence quartile 0.763172 vision loss 0.994945 counties 0.728488 eye health history 0.7402 socioeconomic status 0.678235	CLICK HERE