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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5359	Centers for Disease Control and Prevention	Html	en	CDC Observes Lyme Disease Awareness Month - Statement: May 20, 2011	CDC Observes Lyme Disease Awareness Month	tick-infested areas 0.613681 American Academy 0.564006 Lyme disease activity 0.734668 leaf litter 0.563257 Parents 0.522827 recognition 0.512991 infected blacklegged ticks 0.67297 Disease Control 0.590197 children 0.549007 permethrin 0.521337 fleas 0.51451 order 0.511514 mosquitoes 0.514559 Lyme disease cases 0.729636 visit www.cdc.gov/Lyme 0.558213 prompt medical care 0.608662 steps 0.524931 Pennsylvania 0.511495 full-length mirror 0.560892 spending time 0.558562 Connecticut 0.51147 Lyme Disease Awareness 0.736371 full-body tick check 0.617619 HUMAN SERVICES 0.560476 clothing 0.519799	high grass 0.630463 Centers 0.51297 United States 0.571738 reported annual number 0.654289 fever 0.520288 Typical symptoms 0.559509 products 0.522767 lyme disease 0.940158 bite 0.513361 Massachusetts 0.511475 U.S. DEPARTMENT 0.560546 vectorborne illness 0.571808 indoors 0.512111 common tickborne disease 0.664103 tickborne diseases 0.57646 percent DEET 0.57766 New York 0.564725 product instructions 0.56555 people 0.534408 New Jersey 0.564767 skin rash 0.563517 New Hampshire 0.564544 Lyme disease prevention 0.692196 risk 0.522828	CLICK HERE
6730	Centers for Disease Control and Prevention	Html	en	Assessing Completeness of Perinatal Hepatitis B Virus Infection Reporting Through Comparison of Immunization Program and Surveillance Data --- 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.	perinatal hbv infections 0.751435 immunization program grantees 0.322293 disease surveillance staff 0.334202 hepatitis B virus 0.334332 Immunization Program Report 0.332842 NNDSS 0.357702 annual report cases 0.298621 acute HBV 0.30434 surveillance staff members 0.292117 HBV-infected women 0.290416 immunization program 0.442954 insufficient data 0.268216 NNDSS data entry 0.320561 NNDSS cases 0.271186 HBV transmission 0.394705 Global Immunization Div 0.299987 disease surveillance units 0.413171 infants 0.376136 federal immunization program 0.288573 immunization program staff 0.278596 perinatal hepatitis 0.386049 HBV-infected infants 0.317118 chronic HBV infection 0.355341 postexposure prophylaxis 0.273149 disease surveillance data 0.268207	perinatal infections 0.284353 national perinatal hepatitis 0.340751 United States 0.497852 annual report 0.496908 HBV infection reporting 0.37846 communicable disease surveillance 0.828603 HBV infection cases 0.510467 immunization programs 0.378577 case reconciliation 0.302767 PHBPP coordinators 0.291674 systems 0.278062 Annual Immunization Program 0.333097 perinatal HBV transmission 0.361136 individual perinatal HBV 0.382923 additional NNDSS reporting 0.277556 maternal HBV infections 0.381183 Immunization Svcs Div 0.271403 staff members 0.321229 PHBPP coordinator 0.280276 unique cases 0.338671 NNDSS case number 0.267513 mother-to-child HBV transmission 0.340079 NNDSS surveillance data 0.273159 chronic HBV infections 0.336257	CLICK HERE
8800	Centers for Disease Control and Prevention	Html	en	Naegleria fowleri - Pathogen & Environment	Information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals. Education and information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals	warm fresh water 0.553268 Immunol Med Microbiol. 0.544665 water temperatures 0.542707 Beach MJ 0.559933 PAM infections 0.544039 da Silva AJ 0.565925 Acute pyogenic meningitis 0.541206 Br Med J. 0.543477 Giardia lamblia cyst 0.547271 adverse environmental changes 0.542814 sea water 0.54034 Appl Environ Microbiol. 0.693115 nonpathogenic free-living amoebas 0.543846 Fatal Naegleria fowleri 0.701347 household water systems 0.54457 autopsy tissue samples 0.54539 Giardia cysts 0.550719 Clin Infect Dis. 0.573407 amebic meningoencephalitis Chapter 0.571805 Ollevier F. Effects 0.537757 Naegleria fowleri trophozoites 0.726273 Visvesvara GS 0.558883 trophozoite stage 0.544066 opportunistic free-living amoebae 0.550328	Naegleria fowleri detection 0.700757 severe brain infection 0.54732 Water Sci Technol. 0.543746 primary amebic meningoencephalitis 0.807594 environmental changes 0.544401 cold temperatures 0.554978 Trop Med Parasitol. 0.539502 Naegleria fowleri cysts 0.731278 pathogenic Naegleria 0.640548 hot springs 0.547027 Naegleria fowleri 0.983301 natural Naegleria fowleri 0.712288 resistant cysts 0.549648 Naegleria lovaniensis 0.607248 pathogenic free-living amoebae 0.554297 single nucleus 0.54552 Yoder JS 0.538012 longer disinfection times 0.539074 chlorine 0.539562 better environmental conditions 0.544339 disinfected water bodies 0.545128 Gerba C. Inactivation 0.544382 higher temperatures 0.559868 nonpathogenic Naegleria 0.609772	CLICK HERE
9008	Centers for Disease Control and Prevention	Video	en	CDC: Tips from Former Smokers - Suzy's Ad	Smoking contributes to one in five strokes in the United States. In this TV ad for CDC's "Tips From Former Smokers" campaign, Suzy talks about losing her independence after smoking caused her to have a stroke. 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=d24ac65a09f562fea7289ea145319f9620120313113059690 To learn more about tobacco control and prevention, go to BeTobaccoFree.gov	Smokers 0.832887 CDC 0.82604	Suzy 0.90045 YouTube 0.771802	CLICK HERE
10360	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Native American Race, Use of the Indian Health Service, and Breast and Lung Cancer Survival in Florida, 1996-2007 - CDC	We evaluated associations of race, primary payer at diagnosis, and survival among patients diagnosed in Florida with lung cancer (n = 148,140) and breast cancer (n = 111,795), from 1996 through 2007. In multivariate models adjusted for comorbidities, tumor characteristics, and treatment factors, breast cancer survival was worse for Native American women than for white women (hazard ratio [HR], 1.52; 95% confidence interval [CI], 1.05–2.20) and for women using the Indian Health Service than for women using private insurance (HR, 1.71; 95% CI, 1.33–2.19). No survival association was found for Native American compared with white lung cancer patients or those using the Indian Health Service versus private insurance in fully adjusted models. Additional resources are needed to improve surveillance strategies and to reduce cancer burden in these populations.	Native American community 0.503486 fully adjusted model 0.536341 Florida Cancer Data 0.514869 IHS regions 0.50173 female breast cancer 0.625854 IHS users 0.516733 Sylvester Comprehensive Cancer 0.524523 primary payer 0.603861 white lung cancer 0.539826 Native American groups 0.50207 cancer care costs 0.497546 lung cancer 0.797305 Native American women 0.528642 IHS providers 0.513036 worse survival 0.527125 IHS 0.70128 fully adjusted models 0.558946 Native American race 0.806219 Miami Miller School 0.547982 private insurance 0.675906 cancer burden 0.499839 Incident lung cancer 0.525536 Florida population-based cancer 0.51316 Native American population 0.503592	health care 0.51473 Native American 0.825226 lung cancer patients 0.715716 lung cancer survival 0.557172 cancer care 0.512205 current cancer care 0.499964 breast cancer patients 0.638393 breast cancer survival 0.566085 self-reported Native American 0.505736 IHS services 0.516309 IHS vs 0.511716 Native American communities 0.501797 breast cancer 0.781632 neighborhood area poverty 0.552398 Comprehensive Cancer Center 0.525058 Public Health Sciences 0.513129 Indian Health Service 0.652703 breast cancer mortality 0.508556 Native Americans patients 0.525646 high-quality cancer care 0.497257 area poverty levels 0.552972 IHS health services 0.574466 univariate model 0.503455	CLICK HERE
10718	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Prevalence of Cigarette Advertising and Other Promotional Strategies at the Point of Sale in St Louis, Missouri: Analysis by Store Type and Distance From a School - CDC	Point-of-sale advertising provides an opportunity for the tobacco industry to communicate with current and potential smokers. The US Family Smoking Prevention and Tobacco Control Act allows states to implement policies requiring that tobacco products be placed out of sight, and the Food and Drug Administration is considering banning point-of-sale advertising within 1,000 feet of schools. Our objective was to compare cigarette point-of-sale advertising near schools with grades prekindergarten through 12 and by store type.	cigarette retailers 0.260865 Tobacco Control Act 0.492748 point-of-sale advertising merits 0.28956 tobacco control programs 0.254615 school 0.307303 retail cigarette advertising 0.308059 cigarette advertising 0.636739 cigarette promotional item 0.271564 comprehensive advertising ban 0.342097 market tobacco products 0.255703 point-of-sale advertising increases 0.328343 St Louis 0.552373 favorite cigarette advertisement 0.25763 tobacco products 0.33386 small markets 0.274952 young adults 0.297808 Introduction Point-of-sale advertising 0.330133 Family Smoking Prevention 0.451479 smoking prevalence 0.317175 point-of-sale tobacco advertising 0.345576 point-of-sale advertising influences 0.321033 S. Cigarette advertising 0.299628 cigarette functional items 0.336919 distance 0.303604 convenience stores 0.421921	United States 0.284311 point-of-sale advertising 0.928877 St Louis City 0.29804 tobacco advertising 0.363953 Tobacco point-of-sale advertising 0.404033 largest cigarette markets 0.254012 outdoor tobacco advertising 0.285938 total cigarette ads 0.283264 total number 0.278717 main advertising channel 0.253561 public health 0.27659 tobacco retailers 0.316552 cigarette point-of-sale advertising 0.792073 store type 0.464902 unplanned cigarette purchases 0.30315 comprehensive ban 0.273328 Tob Control 0.377238 exterior advertising 0.258599 point-of-sale cigarette advertising 0.417886 cigarette industry spending 0.255145 liquor stores 0.32435 tobacco industry marketing 0.311819 store types 0.277313 cigarette advertisement 0.282634	CLICK HERE
11599	Centers for Disease Control and Prevention	Html	en	Announcement: Now Available Online: Final 2013-14 InfluenzaVaccination Coverage Estimates for Selected Local Areas, States,and the United States	Final 2013–14 influenza season vaccination coverage estimates are now available online at FluVaxView (http://www.cdc.gov/flu/fluvaxview).	endorsement 0.501205 http://www.cdc.gov/flu/fluvaxview 0.430967 Human Services 0.911762 influenza vaccination data 0.784092 select local areas 0.755478 U.S. Department 0.903432 MMWR HTML versions 0.715311 online information 0.60177 Human Services region 0.768109 identification 0.427345 National 0.428502 children 0.428436 electronic PDF version 0.69585 estimates 0.613679 cumulative percentage 0.613239 Immunization 0.437122 Contact GPO 0.613801 commercial sources 0.573402 current prices 0.562918 persons 0.430641 Survey 0.428483 original paper copy 0.694994 Surveillance System data 0.575827 online summary report 0.730455	Behavioral Risk Factor 0.726735 United States 0.59178 U.S. Government Printing 0.698892 age group 0.577563 adults 0.428314 Superintendent 0.433909 MMWR readers 0.582574 character translation 0.561413 race/ethnicity 0.428011 MMWR paper copy 0.709239 end 0.430602 FluVaxView 0.430987 format errors 0.571362 coverage 0.431057 Health 0.481383 typeset documents 0.578003 trade names 0.573577 http://www.cdc.gov/flu/fluvaxview/interactive.htm 0.427719 official text 0.558588 non-CDC sites 0.572044 References 0.427001 interactive report 0.57691 electronic conversions 0.562788 influenza season vaccination 0.818007	CLICK HERE
13478	Centers for Disease Control and Prevention	Html	en	Family History and Other Characteristics That Increase Risk for Heart Disease	A family history of heart disease increases your risk. Having other risk factors can put you at even greater risk.	play 0.417733 Health Genomics web 0.608158 unhealthy diet 0.530399 smoking cigarettes 0.503902 CDC’s Office 0.510198 related conditions 0.506438 health conditions 0.513532 Genetic factors 0.507974 generation 0.417923 genes 0.445001 behaviors 0.420865 heredity 0.46147 lifestyles 0.421346 American Indians 0.495654 Public Health Genomics 0.761003 Asian Americans 0.49473 Family members share 0.631945 women 0.428334 Age. Your risk 0.503152 role 0.417722 ethnicity 0.480989 death 0.428462 Family Health Portrait 0.608812 United States 0.497954 family history information 0.60085	cause 0.429449 unhealthy lifestyle choices 0.615912 genetics 0.417015 heart disease 0.952527 non-Hispanic blacks 0.52933 potential factors 0.506031 useful tool 0.500135 non-Hispanic whites 0.526203 federal agencies 0.499668 Sex. Heart disease 0.6159 process 0.417884 race 0.447414 family pass traits 0.615484 heart disease share 0.640423 people 0.433748 heart disease increases 0.620359 Pacific Islanders 0.500502 Surgeon General 0.498872 site 0.416951 Family health history 0.742217 Web-based tool 0.498207 high blood pressure 0.598585 health risks 0.512117 common environments 0.505175	CLICK HERE
14165	Centers for Disease Control and Prevention	Html	null	Efectos y riesgos en la salud | El virus del Zika	Defectos de nacimiento, microcefalia y síndrome de Guillain-Barré…			CLICK HERE
15442	Centers for Disease Control and Prevention	Html	en	Zika Virus Surveillance and Preparedness - New York City,2015-2016 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	ongoing Zika virus 0.269266 health 0.346934 Zika virus disease 0.28376 Zika virus 0.690544 Zika virus infection 0.335672 New York City 0.993982 York City Department 0.819592	local mosquito-borne transmission 0.216987 Disease Control 0.429825 Zika virus transmission 0.360461 Zika virus testing 0.211916 health care providers 0.206292 public health laboratory 0.276714 public health 0.316168	CLICK HERE