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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
589	Centers for Disease Control and Prevention	Html	en	Protect Against Respiratory Syncytial Virus | CDC Features	RSV is common during fall, winter and spring. It usually causes mild, cold-like symptoms. But RSV can be serious, especially for infants and older adults. Help protect your child and others from RSV.	hands 0.44098 Premature babies 0.407478 alcohol-based hand sanitizer 0.485685 tissue 0.336277 RSV infection 0.902383 coughing 0.348111 school 0.335433 childcare center 0.391477 immune systems 0.404142 young children 0.586027 high-risk children 0.39188 lungs 0.344873 small airways 0.41363 Healthy people 0.400706 organ transplants 0.402095 germs 0.409041 unwashed hands 0.41677 infants 0.371417 Reduced appetite 0.407758 sick people 0.400921 water 0.334172 extra care 0.387539 RSV season 0.635027 certain heart problems 0.489004 difficulty breathing 0.399961	common cold 0.400851 cold-like symptoms 0.710331 United States 0.413312 Stay home 0.392978 chronic lung disease 0.484958 public areas 0.393439 eyes 0.336466 Runny nose 0.420936 surfaces 0.373722 sneezing 0.353546 prevention tips 0.493171 close contact 0.471601 Child Care 0.388502 higher risk 0.58856 RSV touch 0.587567 severe lung infections 0.501974 people 0.488023 specific medical treatments 0.490707 Respiratory syncytial virus 0.503276 mouth 0.366495 older adults 0.60887 time 0.337861 severe illness 0.497155 HIV infection 0.443956	CLICK HERE
5598	Centers for Disease Control and Prevention	Html	en	Oil mist (mineral) - 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
5962	Centers for Disease Control and Prevention	Html	en	Ferrovanadium dust - 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
7126	Centers for Disease Control and Prevention	Html	en	Global Health - Indonesia	CDC has collaborated with Indonesia for more than fifty years.	public buildings 0.558218 study 0.341788 CDC 0.582963 endorsement 0.38156 data 0.341436 injuries 0.349812 infectious diseases 0.604888 Indonesian Ministry 0.652106 noncommunicable diseases 0.593497 South Halmahera district 0.803807 influenza-like illness 0.585867 high-priority public health 0.905925 Content source 0.565427 HHS 0.388696 pneumonia 0.376446 Notice 0.354333 children 0.341495 tobacco 0.341157	Download Overview Fact 0.828881 priority diseases 0.602246 Assistance 0.346612 Minister 0.343665 needs 0.346056 diarrhea 0.375797 Early Warning 0.593317 malaria deaths 0.66473 Response 0.344227 notifiable disease surveillance 0.887904 malaria incidence 0.662021 non-federal site 0.618315 lung function standards 0.800554 2004-2009 0.342405 employees 0.341222 Sheet 0.344954 Indonesian adults 0.615373 Health address 0.596461	CLICK HERE
9775	Centers for Disease Control and Prevention	Html	en	Asthma - Table 4-1 Current Asthma Prevalence Percents by Age, NHIS, 2011	Table 4-1 Current Asthma Prevalence Percents by Age, 2011	Family Income 0.666407 ** 0.626377 West 0.486459 South 0.48717 Puerto Rican 0.679466 10.6 0.803518	Midwest 0.487885 White 0.501719 Black Non-Hispanic 0.678942 Female 0.938153 Region 0.488998 Poverty Threshold 0.671839	CLICK HERE
11561	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Evaluation of the Placement of Mobile Fruit and Vegetable Vendors to Alleviate Food Deserts in New York City - CDC	In 2008, the New York City (NYC) health department licensed special mobile produce vendors (Green Carts) to increase access to fruits and vegetables in neighborhoods with the lowest reported fruit and vegetable consumption and the highest obesity rates. Because economic incentives may push vendors to locate in more trafficked, less produce-deprived areas, we examined characteristics of areas with and without Green Carts to explore whether Carts are positioned to reach the intended populations.	food stores 0.615601 Green Cart permits 0.496514 multiple healthy stores 0.499462 census tracts 0.556641 areas 0.552855 Green Cart placement 0.487744 healthy food store 0.493179 New York City 0.541258 non-EBT Green Carts 0.532052 Carts cluster 0.499972 Cart boundaries 0.529641 healthy stores 0.583564 Green Cart presence 0.499862 Green Cart sites 0.504307 non-EBT Carts 0.491167 outlier Green Carts 0.533039 healthy food stores 0.577937 non–food desert areas 0.487745 fast food restaurants 0.512137 local food environment 0.498964 federal poverty level 0.492787 additional healthy stores 0.489516 candidate Cart sites 0.488064 Green Cart 0.670484	study area 0.491781 unhealthy stores 0.502315 food deserts 0.838338 food desert areas 0.503534 highly trafficked areas 0.516808 food swamps 0.497548 degree Green Carts 0.54586 mobile produce vendors 0.505554 neighborhood characteristics 0.490844 candidate sites 0.639203 Green Cart boundaries 0.498195 food desert 0.566799 active Green Cart 0.487269 food environment 0.733016 ArcInfo Business Analyst 0.508476 vegetable specialty stores 0.489787 fresh produce 0.507956 Green Carts 0.945438 Green Carts program 0.572883 Cart vendors 0.509651 candidate Green Cart 0.504919 Green Cart locations 0.554087 NYC Green Cart 0.505726 Green Cart vendors 0.494285	CLICK HERE
12625	Centers for Disease Control and Prevention	Video	en	Director's Briefing: Polio Eradication	Polio is a frightening disease that paralyzes and kills. In this Director's Briefing, Dr. Tom Frieden discusses how the finish line for polio eradication is in sight. In 2012, there were fewer cases of polio in fewer countries than ever before in history -- 222 cases. That is far from the 350,000 cases recorded when CDC and our partners started the campaign to eradicate polio in 1988. Although we have made tremendous progress against what used to be one of the most terrible diseases of our time, there is still work to do to get over the finish line. 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=93b079e93ff9e9fc82978d69f949d4eb20130124122636125	Polio Eradication 0.909071	Director 0.343135	CLICK HERE
13459	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Multistate Outbreak of HumanSalmonella Poona Infections Associated with Pet Turtle Exposure -United States, 2014	Colin Basler, DVM1, 2; Lyndsay Bottichio, MPH2; Jeffrey Higa, MPH3; Belinda Prado, MPH4; Michael Wong3; Stacey Bosch, DVM2 (Author affiliations at end of text).	small turtles 0.819443 human illness 0.527422 Human Services 0.535531 pet turtles 0.669781 California patient 0.532268 Salmonella Poona pulse-field 0.773904 turtle-associated salmonellosis outbreaks 0.897181 young children 0.640578 Zoonotic Infectious Diseases 0.638141 gel electrophoresis 0.54052 ill persons 0.910796 foodborne disease surveillance 0.692387 Stacey Bosch 0.561637 National Center 0.528316 federal law 0.543697 upper shell 0.530199 future turtle-associated salmonellosis 0.652099 particular risk 0.545021 legal purchase online 0.663449 flea markets 0.540884 turtle vendors 0.557481 Environmental Diseases 0.52898 common food 0.528529 human Salmonella Poona 0.825748	federal turtle ban 0.655823 1Epidemic Intelligence Service 0.636032 Salmonella bacteria 0.599698 Public Health 0.527874 Jeffrey Higa 0.569548 potential role 0.525576 Long Beach Department 0.635705 Colin Basler 0.71675 exhibition purposes 0.5362 pet turtle exposure 0.707652 3California Department 0.527969 transient nature 0.544292 illegal purchase 0.541242 Lyndsay Bottichio 0.55689 small children 0.554389 human Salmonella infections 0.726467 rare serotype 0.545606 traceback investigation 0.529946 outbreak strain 0.703034 transient street vendors 0.672892 Michael Wong 0.554809 Author affiliations 0.55469 multiple Salmonella outbreaks 0.792352 national molecular subtyping 0.696164	CLICK HERE
13718	Centers for Disease Control and Prevention	Html	en	RMSF is Deadly, Yet Preventable | CDC Features	Early treatment with doxycycline can prevent severe illness and death.	North Carolina 0.364345 untreated cases 0.365006 American Academy 0.415966 health care provider 0.940988 tick prevention 0.433989 FALSE. Tick bites 0.554473 doxycycline 0.620609 tick habitats 0.522142 children 0.376875 Avoiding Ticks page 0.502907 health care providers 0.415296 life-threatening illness 0.379255 antibiotic treatment 0.484004 RMSF infections 0.379096 Early treatment 0.376558 symptoms 0.398139 FALSE. Treatment 0.398502 RMSF cases 0.386037 Tick Removal page 0.467605 fever 0.417077 laboratory test 0.510206 laboratory test results 0.478241 tick grasp 0.431387 RMSF infection 0.375364	infected tick 0.545723 Rocky Mountain 0.461993 tickborne diseases 0.427202 diagnostic test results 0.405448 Early signs 0.364192 reliable laboratory test 0.404172 Permethrin kills ticks 0.514033 illness 0.473066 antibiotic doxycycline 0.551797 FALSE. Doxycycline 0.454864 ticks 0.784309 RMSF 0.658919 RMSF report 0.411962 outdoor activities 0.41085 previously healthy people 0.408826 tickborne illness 0.391149 people 0.435163 Indian Health Service 0.411376 rash 0.413857 deadly tickborne disease 0.425875 contiguous United States 0.415209 unattached ticks 0.459556 information 0.37004 severe illness 0.371329	CLICK HERE
16356	Centers for Disease Control and Prevention	Html	en	Progress with Scale-Up of HIV Viral Load Monitoring - SevenSub-Saharan African Countries, January 2015-June 2016 |MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	viral load monitoring 0.452646 overall testing capacity 0.340927 CDC 0.334265 sub-Saharan African countries 0.360518 HIV-1 Viral Load 0.410432 load testing capacity 0.376644 Global HIV/AIDS 0.355278 number 0.329384 viral suppression 0.515787 load testing targets 0.389394 World Health Organization 0.330193 load proficiency testing 0.379406 Global Health 0.352508 patients 0.360081 molecular testing platforms 0.335925 countries 0.407206 test turnaround time 0.346812 HIV treatment 0.350076 persons 0.347589 low viral load 0.401419 public health practice 0.33013 load testing platforms 0.371112 human immunodeficiency virus 0.348984 South Africa 0.417718 effective viral load 0.399791	HIV patient monitoring 0.336876 viral load test 0.459367 load testing scale-up 0.37478 Côte d’Ivoire 0.41294 viral load suppression 0.414874 ART 0.404959 antiretroviral therapy 0.328504 viral load proficiency 0.419446 viral suppression rates 0.379448 sub-Saharan Africa 0.367972 sub-Saharan countries 0.328302 viral load testing 0.933471 turnaround time 0.374324 viral loading testing 0.391219 Proficiency Testing program 0.335746 ART patients 0.345257 recommends viral load 0.417809 adequate equipment capacity 0.350265 viral suppression goals 0.377199 HIV viral load 0.414758 HIV worldwide 0.331111 HIV infection 0.367421 viral load scale-up 0.411322 sub-Saharan Africa accounting 0.331759	CLICK HERE