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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
508	Centers for Disease Control and Prevention	Html	null	Glossary LP	Acellular vaccine: Listen [MP3, 105 KB] A vaccine containing partial cellular material as opposed to complete cells.			CLICK HERE
573	Centers for Disease Control and Prevention	Html	en	Malaria Cases in U.S. Hit 40-Year High | CDC Features	Increasing numbers of malaria cases reported in the U.S. serve as a reminder to travelers to countries with malaria: think ahead and take steps to protect yourself from this potentially fatal, but preventable disease.	low risk 0.38735 infection 0.315204 regions 0.315726 United States 0.484726 long pants 0.382256 numbers 0.318056 malaria 0.955498 U.S. serve 0.398254 concern 0.315442 individual country 0.389789 sub-Saharan Africa 0.396327 malaria symptoms 0.611862 Clinicians 0.316231 preventable disease 0.408177 contact CDC 0.405902 chills 0.320971 appropriate drug 0.388592 malaria prevention measures 0.69302 CDC Guidelines 0.406148 place 0.315746 malaria hotline 0.618623 case management advice 0.453704 U.S. residents 0.39051	reminder 0.320061 webpages 0.315862 long sleeves 0.382359 malaria pills 0.680183 countries 0.371959 steps 0.337814 people 0.334071 bites 0.315431 travelers 0.439994 India 0.315775 doctor 0.327994 malaria cases 0.686963 dose 0.318772 malaria transmission 0.677657 antimalarial drug 0.397837 summary report 0.39845 detailed information 0.38287 millions 0.318139 latest malaria surveillance 0.765616 largest number 0.400236 time 0.315686 family 0.315676	CLICK HERE
11801	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Rationale for New York City'sRegulations on Nutrition, Physical Activity, and Screen Time inEarly Child Care Centers - CDC	Childhood obesity is associated with health risks in childhood, and it increases the risk of adult obesity, which is associated with many chronic diseases. Therefore, implementing policies that may prevent obesity at young ages is important. In 2007, the New York City Department of Health and Mental Hygiene implemented new regulations for early childhood centers to increase physical activity, limit screen time, and provide healthful beverage offerings (ie, restrict sugar-sweetened beverages for all children, restrict whole milk for those older than 2 years, restrict juice to beverages that are 100% juice and limit serving of juice to only 6 ounces per day, and make water available and accessible at all times). This article explains why these amendments to the Health Code were created, how information about these changes was disseminated, and what training programs were used to help ensure implementation, particularly in high-need neighborhoods.	child care centers 0.934127 supplemental nutrition program 0.464123 NYC Board 0.462219 Prev Chronic Dis 0.576317 physical activity curriculum 0.461879 Early childhood obesity 0.468968 early childhood settings 0.465526 New York City 0.781087 early childhood centers 0.502506 early childhood educators 0.465373 children 0.599739 obesity prevention 0.484619 child obesity 0.461663 Special Supplemental Nutrition 0.461886 National Academies Press 0.481737 NYC Health Code 0.466214 early childhood 0.614137 child care center 0.469279 CrossRef 0.464493 early child care 0.748653 physical activity regulations 0.473789 NYC group child 0.473983 group child care 0.541027 Robert Wood Johnson 0.498913 technical assistance 0.504321	Health Code 0.474481 childhood education consultants 0.466647 NYC 0.486172 sugar-sweetened beverages 0.47621 early childhood education 0.476641 City child care 0.469243 public health 0.513798 Care Food Program 0.477768 child care program 0.481227 child care environment 0.474684 Kettel Khan L. 0.481738 weather physical activity 0.462759 new regulations 0.483997 children’s health 0.463722 screen time regulations 0.463229 physical activity 0.860119 York City Department 0.476848 Start early childhood 0.465102 Wood Johnson Foundation 0.498401 childhood obesity 0.586862 screen time 0.571811 regulations 0.506746 child care regulations 0.50524 et al 0.494013	CLICK HERE
11896	Centers for Disease Control and Prevention	Video	en	The Clinical Center - NIH Clinical Trials	Learn more about the NIH Clinical Center, the world's largest hospital devoted exclusively to clinical investigation. On any given day, specialists -- all under one roof -- may be conducting research on musculoskeletal and skin diseases; cancer; dental and craniofacial disorders; eye disorders; heart, lung, and blood diseases; infectious diseases; medical genetics; mental health; or neurological disorders. It is a national resource!	NIH Clinical Center 0.948854	YouTube 0.63098	CLICK HERE
12025	Centers for Disease Control and Prevention	Html	en	SEED | Autism Spectrum Disorder (ASD)	Autism Spectrum Disorders (ASDs) are a group of developmental disabilities that can cause significant social, communication and behavioral challenges. CDC is working to find out how many children have ASDs, discover the risk factors, and raise awareness of the signs.	Centers 0.228591 CDC 0.235771 data 0.228651 United States 0.382013 better idea 0.349191 disability 0.263223 Epidemiology 0.229164 health-related issues 0.357401 network 0.228488 disorders 0.229917 ASD 0.84354 smaller studies 0.356467 world 0.231143 children 0.660662 complex disorder 0.362945 causes 0.232101 things 0.230541 CADDRE 0.228506 research goals 0.362892 Questions 0.229739 health conditions 0.692721	autism spectrum disorder 0.511158 child’s risk 0.336973 largest study 0.372202 developmental disabilities 0.935615 risk factors 0.600596 multi-year study 0.381483 patterns 0.229158 center 0.228633 pregnancy 0.227968 opportunity 0.229267 infancy 0.23298 families 0.229482 SEED study sites 0.495601 people 0.231308 experiences 0.228009 typical development 0.486723 way 0.231265 certain medical conditions 0.473662 possible risk factors 0.479942 behavioral characteristics 0.365142 person 0.228693	CLICK HERE
12294	Centers for Disease Control and Prevention	Html	en	Non-Polio Enterovirus | Outbreaks and Surveillance | Picornavirus | CDC	In the United States, people can get infected with non-polio enteroviruses at any time of the year. However, it is more common in the summer and fall.	Enterovirus D68 0.568001 commonly reported type 0.305296 enterovirus tests 0.550385 enterovirus 0.995526 United States 0.868289 descriptive epidemiological investigation 0.273353 Elk Grove Village 0.260949 National Enterovirus Surveillance 0.686131 enterovirus infection 0.556013 mouth disease 0.439521 large outbreaks 0.233446 Coxsackievirus A24 0.273376 enterovirus reporting 0.554008	laboratory-based surveillance 0.203912 Lancet Respir Med. 0.279305 Jackson MA 0.285291 Enteric Virus Surveillance 0.307228 coxsackievirus a6—Alabama 0.238356 severe hand 0.368049 Coxsackievirus A6 0.288511 nationwide outbreak 0.326191 severe respiratory illness 0.916754 severe neurologic disease 0.400451 et al 0.286798 Midgley CM 0.324666	CLICK HERE
12628	Centers for Disease Control and Prevention	Video	en	Director's Briefing: Latest on MRSA	In the past decade, many of our country's biggest breakthroughs in preventing deadly infections in hospitals and other healthcare settings have come from the great work of the scientists here at CDC. In this Director's Briefing video, CDC Director Tom Frieden, MD, MPH, talks about new CDC research on MRSA, a serious healthcare-associated infection. Scientists studied 74,000 patients and found two simple solutions that can cut deadly infections by MRSA and other dangerous germs by nearly half. 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=9979306b859c5fc58a0dae7a630f7c8c20130530134936968	MRSA 0.967027 Briefing 0.973311	Director 0.513875	CLICK HERE
13170	Centers for Disease Control and Prevention	Html	en	Outbreak of Human Pneumonic Plague with Dog-to-Human andPossible Human-to-Human Transmission - Colorado, June-July2014	Janine K. Runfola, MS1, Jennifer House, DVM2, Lisa Miller, MD2, Leah Colton, PhD2, Donna Hite1, Alex Hawley1, Paul Mead, MD3, Martin Schriefer, PhD3, Jeannine Petersen, PhD3, Colleen Casaceli, MPH4, Kristine M. Erlandson, MD5, Clayton Foster, MD5, Kristy L.	health care provider 0.421241 plague 0.796115 plague symptoms 0.551253 untreated bubonic plague 0.577944 septicemic plague 0.536243 oral levofloxacin 0.414501 pneumonic plague 0.750481 Zoonotic Infectious Diseases 0.448684 health care providers 0.415321 human-to-human transmission 0.503401 symptomatic plague 0.526499 Y. pestis 0.916453 ill infected dog 0.43449 patient A. 0.433585 milder plague illness 0.625757 overall plague mortality 0.568381 human plague 0.590249 public health response 0.414194 dog 0.484097 prairie dog colony 0.413775 potential exposures 0.454461 Inactive prairie dog 0.415438 United States 0.557694 laboratory-confirmed plague 0.533067	human health care 0.425005 Tri-County Health Department 0.506961 ill domestic animals 0.500751 pneumonia 0.438756 automated identification systems 0.418375 veterinary clinic employee 0.490194 incubation period 0.417441 Y. pestis infection 0.603245 P. luteola 0.522545 close contact 0.633937 plague exposure 0.545366 polymerase chain reaction 0.587163 plague cases 0.543527 public health 0.537352 health care 0.493195 convalescent serum specimens 0.485423 female veterinary clinic 0.490202 Primary pneumonic plague 0.601729 1Tri-County Health Department 0.414999 Untreated pneumonic plague 0.609585 Yersinia pestis 0.46369 acute Y. pestis 0.537131 radiographic evidence 0.436586 bloody sputum 0.459508	CLICK HERE
15430	Centers for Disease Control and Prevention	Html	en	Characterizing Adults Receiving Primary Medical Care in NewYork City: Implications for Using Electronic Health Records forChronic Disease Surveillance	Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.	data 0.339388 health insurance 0.282384 sensitivity analysis 0.277284 health care provider 0.547189 significant differences 0.285654 NYC HANES 0.961842 New York City 0.888085 in-care status 0.289749 adult New York 0.272071 vs NYC HANES 0.326818 not-in-care population 0.421179 primary care practices 0.348203 Nutrition Examination Survey 0.319744 NYC HANES participants 0.350033 neighborhood poverty 0.28944 health care contact 0.290688 self-rated health status 0.280401 York City residents 0.300461 NYC Macroscope 0.277925 New York School 0.286359 uninsured not-in-care population 0.35738 in-care questions 0.283321 vs 0.380465 chronic disease surveillance 0.33337	in-care populations 0.285385 health indicators 0.33291 United States 0.369085 not-in-care populations 0.380759 NYC HANES interview 0.315091 prevalence estimates 0.311391 mental health treatment 0.295015 in-care population 0.745892 York City population 0.279928 NYC HANES vs 0.310459 York City Health 0.315833 in-care population estimates 0.324704 Community Health Survey 0.364229 CHS in-care population 0.361965 electronic health records 0.277718 health care coverage 0.313217 chronic conditions 0.317829 EHR-based prevalence estimates 0.301622 primary care data 0.283518 in-care participants 0.311852 York City Department 0.301624 current smoking frequency 0.27511 NYC HANES data 0.302197 primary care 0.379336	CLICK HERE
16142	Centers for Disease Control and Prevention	Html	en	United States Geographic Distribution: 2015 data | Chikungunya virus	Information on Chikungunya virus. Provided by the U.S. Centers for Disease Control and Prevention.	Puerto Rico 0.321831 virus disease cases 0.748871 Table 0.240364 CDC 0.228742 Virgin Islands 0.315953 locally-transmitted cases 0.309962 Laboratory-confirmed chikungunya virus 0.576513 ArboNET 0.255153 areas 0.235919 nationally notifiable condition 0.475637 travelers 0.255059	chikungunya virus disease 0.9201 standard case definitions 0.433015 U.S. states 0.317135 total 0.240895 locally-transmitted case 0.31857 Texas 0.221523 territory— United States 0.407156 U.S. territories 0.31998 local health departments 0.438308 Map 0.221216	CLICK HERE