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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
667	Centers for Disease Control and Prevention	Html	en	Specific Populations - Smoking & Tobacco Use	Your browser does not support iFrames.	email updates 0.823672 MPEG 0.345912 Tobacco 0.486531 PDF 0.279145	PPT 0.391665 email address 0.807714 DOC 0.339595 different file formats 0.969515	CLICK HERE
4406	Centers for Disease Control and Prevention	Image	null	Hurricane Logo (600W x 600H)	null			CLICK HERE
4720	Centers for Disease Control and Prevention	Html	en	Protect Your Pets|Natural Disasters and Severe Weather	Information on disasters. Provided by the Centers for Disease Control and Prevention (CDC).	pets 0.288465 CDC 0.335399 endorsement 0.243075 individual organization Web 0.874325 nonfederal organizations 0.510779 Emergencies 0.219818 emergency 0.247997 pet’s safety 0.560239	Disclaimer 0.249663 disaster evacuation centers 0.99101 responsibility 0.210162 Visit Pet Safety 0.885204 links 0.258903 pet owner 0.535147 shelters 0.203193	CLICK HERE
5591	Centers for Disease Control and Prevention	Html	en	Phenyl ether-biphenyl mixture (vapor) - 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
7742	Centers for Disease Control and Prevention	Html	en	Bartonella - Transmission	Bartonella bacteria cause several diseases in humans. The three most common are cat scratch disease, caused by B. henselae; trench fever, caused by B. quintana; and Carrión's disease, caused by B. bacilliformis.	pets 0.236072 trench fever 0.95735 vertebrate reservoir 0.400584 North America 0.400485 competent arthropod vectors 0.586301 children 0.241983 homeless populations 0.403748 bartonellosis 0.258355 convincing evidence 0.421585 infected cat fleas 0.740042 western South America 0.555017 human body louse 0.613807 organism 0.236397 Andean highlands 0.396974 scratch 0.238349 European trenches 0.414828 sand flies 0.393371 B. rochalimae 0.399208 feral cats 0.444093 Oroya fever 0.464714 geographic distribution 0.389957 newly recognized species 0.55935 Andes Mountains 0.400007 infected body lice 0.678911 United States 0.415215	scratches 0.256765 winter 0.235678 association 0.234684 worldwide distribution 0.395469 kittens 0.237469 poor sanitation 0.408426 high population density 0.573698 genus Lutzomyia 0.41745 Bartonella infection 0.628039 Stray cats 0.420866 CSD 0.517098 bite 0.240308 body louse infestations 0.625088 World War 0.405427 Peruvian warts 0.399889 elevation 0.23587 disease 0.32774 cases 0.321832 ticks 0.291555 People 0.240302 Bartonella bacteria 0.875691 verruga peruana 0.392544 ill traveler 0.398042 humans 0.279172	CLICK HERE
8529	Centers for Disease Control and Prevention	Html	en	Making Health Care Safer: Stop Infections from Lethal CRE Germs Now - CDC Vital Signs	CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics.	infection prevention staff 0.372791 CDC 0.373132 CDC guidance 0.34167 CRE prevention efforts 0.629112 Notifiable Diseases list 0.361134 CRE outbreak 0.594492 CRE germs 0.698806 year-long CRE outbreak 0.582463 Health Care Safer 0.557594 prevention program 0.336233 CRE trends 0.583641 patient test 0.336564 regional CRE prevention 0.563938 acute care hospitals* 0.37631 prevention guidelines 0.364454 bloodstream infections 0.409358 healthy people 0.367893 acute care hospital 0.365553 temporary medical devices 0.362195 CRE 0.988582 CRE infections 0.841832 health departments/states 0.336345 acute care hospitals 0.367395 CRE transfers 0.567529	resistant germs 0.375026 regional CRE 0.630924 Vital Signs 0.405592 medical facility leadership 0.369137 CRE infection rates 0.690953 Emerging Infections Program 0.391237 regional CRE programs 0.570575 CRE outbreak support 0.577758 regional CRE tracking 0.568625 National Healthcare Safety 0.362625 CDC recommendations 0.364792 hard-to-treat infections 0.376327 CDC guidelines 0.347771 short-stay hospitals 0.337091 last-resort drugs 0.33569 antibiotic prescribing practices 0.363408 medical care 0.364085 CRE detection 0.538615 infection control recommendations 0.36574 long-term acute care 0.496567 potentially untreatable infections 0.407407 CRE patients 0.536204 medical facilities 0.497715 CRE infection 0.694385	CLICK HERE
9220	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | A Binational Overview of Reproductive Health Outcomes Among US Hispanic and Mexican Women in the Border Region - CDC	The US–Mexico border region has 15 million residents and 300,000 births annually. Reproductive health concerns have been identified on both sides of the border, but comparable information about reproductive health is not available. The objective of this study was to compare reproductive health indicators among populations in this region.	US–Mexico border communities 0.227318 Mexican women 0.266153 Mexican border women 0.447068 border birth rates 0.247734 United States 0.507315 total fertility rates 0.224858 Mexican border 0.731344 Mexican border areas 0.276548 high birth weight 0.22076 United States–Mexico border 0.235366 Mexican nonborder 0.202192 Mexican border states 0.366282 border state populations 0.218434 border residents 0.221806 US–Mexico border population 0.25822 US–Mexico border 0.28221 Mexican border municipios 0.249603 border rates 0.225451 Texas border counties 0.235006 Mexican birth certificate 0.217403	Mexican border region 0.400988 border state births 0.295235 border 0.935715 US–Mexico border region 0.250288 border county births 0.270373 border region 0.858768 border population 0.29063 border states 0.547215 birth certificate 0.260531 border region women 0.241506 border counties 0.299922 births 0.446874 border region births 0.303413 Mexican border births 0.379667 reproductive health 0.320954 prenatal care 0.30178 border region municipios 0.204281 Mexican border regions 0.270924 U.S.–Mexico border region 0.202961 Hispanic US–Mexico border 0.268726	CLICK HERE
9349	Centers for Disease Control and Prevention	Html	es	Dependencia de la nicotina y sus factores de riesgo entre beneficiarios de los servicios médicos para veteranos, 2008-2009	null	Tsai J 0.736971 mayores factores 0.613545	Estados Unidos 0.921469 Chronic Dis 0.711722	CLICK HERE
11256	Centers for Disease Control and Prevention	Html	es	Los pacientes encaraninfecciones por enterobacterias resistentes a los carbapenemes oERC más mortales	Los pacientes encaran infecciones por enterobacterias resistentes a los carbapenemes o ERC más mortales	Archivo Apple Quicktime 0.497319 Archivo RealPlayer 0.43323 frecuencia causa alarma 0.492827 particular capacidad 0.403258 Archivo Microsoft PowerPoint 0.519821 Archivo Adobe PDF 0.50665 Archivo Microsoft 0.814373 Kitty Anderson 0.408688	bacterias mortales llamadas 0.749275 Archivo Microsoft Word 0.517182 Archivo Texto 0.424033 atención médica aguda 0.497118 tanta alarma 0.426848 Archivo Zip Comprimido 0.495604 Archivo Microsoft Excel 0.501121 microbios patógenos 0.625049	CLICK HERE
14210	Centers for Disease Control and Prevention	Html	en	QA: Infants and Zika Virus Infection | Zika virus	null	QA 0.452294 CDC 0.40367	Infants 0.419194	CLICK HERE