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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1022	Centers for Disease Control and Prevention	Html	en	MMWR News Synopsis: March 27, 2014 | CDC Media Relations | CDC	MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	smoking rates 0.471123 smoking-related disease 0.563566 state Medicaid cessation 0.681341 adult health problems 0.579261 state Medicaid programs 0.644353 avoidable tragedy 0.451396 cancer risk factors 0.638005 Evidence-based strategies 0.582536 female breast 0.558085 high-risk sexual behaviors 0.557662 certain chronic diseases 0.543956 years.  Medicaid 0.517662 drug abuse 0.438639 cancer incidence rates 0.737599 CM results 0.516108 brain development 0.440172 lifelong health 0.586639 rectum cancer 0.500182 health care costs 0.570737 previous reports 0.437675 United States Cancer 0.616222 incidence rates 0.806134 human papillomavirus 0.467154 CDC Media Relations 0.939234 state Medicaid coverage 0.648965	new cases 0.455477 cancer rates 0.510721 cancer screening 0.487154 important tools 0.456844 smoking cessation treatments 0.617867 negative health effects 0.579325 major public health 0.821776 public health burden 0.591412 government cancer incidence 0.716512 U.S. DEPARTMENT 0.43881 individual states 0.455883 annual incidence rate 0.691419 Child maltreatment 0.639936 higher risk 0.444769 Medicaid population. 0.515197 important contributor 0.439951 Preventive services 0.45558 CM 0.534496 mortality statistics 0.449565 National cancer registry 0.623699 U.S. population 0.447224 gradual progress 0.435877 higher rate 0.440703 public health challenge 0.587995	CLICK HERE
1297	Centers for Disease Control and Prevention	Html	en	National, State, and Selected Local Area VaccinationCoverage Among Children Aged 19-35 Months - United States,2013	Laurie D. Elam-Evans, PhD1, David Yankey, MS1, James A. Singleton, PhD1, Maureen Kolasa, MPH1 (Author affiliations at end of text).	vaccination coverage 0.95297 MMR dose 0.400766 HepB doses 0.390847 children 0.696069 state health departments 0.353249 pneumococcal conjugate vaccine 0.367017 PCV doses 0.416974 varicella vaccine 0.396183 poverty level 0.594138 catch-up doses 0.337097 lower vaccination coverage 0.357687 dose 0.605632 booster dose 0.355195 pertussis vaccine 0.342303 high vaccination coverage 0.379202 DTaP doses 0.423315 poliovirus vaccine 0.388669 doses 0.777671 varicella doses 0.347203 United States 0.392515 vaccines 0.357848 rotavirus vaccine 0.360055 varicella dose 0.326375 product type 0.346851 percentage points 0.574865	rubella vaccine 0.328723 HepA dose coverage 0.352477 white children 0.354498 combined vaccine series 0.348686 MMR vaccination coverage 0.358348 health departments 0.386097 national vaccination coverage 0.377877 area vaccination coverage 0.361993 Healthy People 0.423519 local health departments 0.35349 booster doses 0.390063 National Immunization Survey 0.368191 Hib 0.34594 dose coverage levels 0.341848 adequate vaccination data 0.368056 childhood vaccination coverage 0.326794 MMR dose coverage 0.378396 vaccine series 0.40846 birth dose 0.444406 vaccine 0.581949 HepB birth dose 0.416136 poliovirus doses 0.357188 HepA doses 0.427185 American Indian/Alaska Native 0.374585	CLICK HERE
6784	Centers for Disease Control and Prevention	Html	en	Outbreak of Cryptosporidiosis Associated with a Firefighting Response - Indiana and Michigan, June 2011	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.	abdominal cramps 0.701337 probable case 0.57806 clinical case 0.769513 Cryptosporidium spp 0.612393 stool specimens 0.861776 Michigan local health 0.546228 gastrointestinal illness 0.744303 fecal contamination 0.587311 intestinal fluid 0.670781 Cryptosporidium species 0.614704 Cryptosporidium oocysts 0.611227 24-hour period 0.552881 Cryptosporidium parvum 0.820028 human stool specimens 0.699656 Cryptosporidium infection 0.597715 Michigan State University 0.579704 Zoonotic Infectious Diseases 0.578829 ill firefighters 0.590799 drinking water 0.575316 Community Health 0.637508 human stool specimen 0.585015 Joseph Community Health 0.590451 calf fecal specimens 0.558599 Cryptosporidium nucleic acid 0.672011	Local hydrant water 0.551226 Cryptosporidium 0.996604 calf fecal samples 0.805683 Michigan State 0.594036 pond water exposure 0.641735 Michigan State Univ 0.589993 positive laboratory confirmation 0.569866 confirmatory Cryptosporidium testing 0.676983 direct calf contact 0.595125 loose stools 0.55105 Community Health Agency 0.590443 water 0.769943 tissue samples 0.548077 firefighters 0.779778 thorough hygiene 0.551169 swimming pond 0.63293 Cryptosporidium organisms 0.715804 Indiana fire station 0.559721 swimming pond water 0.592005 pond water samples 0.582623 barn housing 0.55611 cryptosporidiosis 0.555496 pond water 0.769199	CLICK HERE
7826	Centers for Disease Control and Prevention	Html	en	HIV/TB Coinfection - Health Communication	HIV/TB Coinfection - Gateway to Health Communication - CDC	latent TB infection 0.379898 TB treatment 0.310294 TB bacilli 0.274272 TB presents 0.256332 TB cases 0.269065 Active TB illness 0.335312 TB 0.950386 regular TB 0.261434 TB medicines 0.253141	TB disease differ 0.315371 TB patients 0.257404 Multidrug-resistant TB 0.262698 TB bacillus 0.334621 pulmonary TB 0.338687 MDR TB 0.292507 active tb disease 0.839881 TB preventive therapy 0.344544 active pulmonary TB 0.307042	CLICK HERE
8147	Centers for Disease Control and Prevention	Html	en	Preconception Care, Show Your Love Campaign - Images, Not planning to have a baby	null	full-size image 0.864695 Save target 0.806033	Save 0.999232	CLICK HERE
8520	Centers for Disease Control and Prevention	Html	en	HAN Alert - Human Infections with Novel Influenza A H7N9 Viruses	Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC).	influenza diagnostic test 0.462014 influenza diagnostic testing 0.429839 human influenza 0.433587 avian influenza 0.930526 United States 0.353084 novel influenza 0.694993 avian influenza viruses 0.45942 negative rapid influenza 0.459532 influenza A viruses 0.459105 novel avian influenza 0.491065 H7N9 virus infections 0.320224 local health department 0.303558 influenza virus infection 0.493258 novel influenza viruses 0.467995 influenza antiviral medications 0.432104 influenza illness onset 0.416548 positive test result 0.298531 pathogenic avian influenza 0.530649 possible novel influenza 0.432117 local health 0.303789 CDC avian influenza 0.434624 variant influenza 0.469876 virulent influenza viruses 0.442492	test result 0.306521 public health 0.414184 Variant Virus Cases 0.305932 influenza A virus 0.518111 virus infections 0.324895 virus subtypes 0.30047 unsubtypeable influenza 0.3882 typical influenza season 0.423796 cases 0.350621 avian influenza virus 0.523184 public health officials 0.315503 H7N9 avian influenza 0.435002 virus infection 0.596873 influenza viruses 0.572082 Suspected Influenza 0.391884 severe respiratory illness 0.440767 state public health 0.345803 appropriate infection control 0.335233 Chinese public health 0.316418 Enhanced Influenza Surveillance 0.402617 human infection 0.35802 public health laboratory 0.300911	CLICK HERE
10749	Centers for Disease Control and Prevention	Html	en	MMWR News Synopsis: April 24, 2014 | CDC Media Relations | CDC	MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	safety professionals 0.414166 stool specimens 0.405434 safe ladder practices 0.522576 measles immunity 0.410388 substantial public health 0.697353 harmful health effects 0.507518 U.S. children 0.406523 countries meeting performance 0.483977 total societal costs 0.452889 Current medical information 0.478082 national performance targets 0.46676 multiple injury surveillance 0.515761 recent active poliovirus 0.632837 intensive efforts 0.469216 immunization rates 0.475139 work-related ladder fall 0.505656 lead toxicity information 0.494171 older workers 0.408424 AFP surveillance 0.507389 amusement/ recreation industries 0.478674 CDC Media Relations 0.966764 lead exposure 0.41494 paralyzed children 0.409931 healthcare providers 0.407055 polio eradication 0.42661	high immunization rates 0.47029 polio outbreaks 0.426806 hospital emergency departments 0.476518 repair occupations 0.406913 active poliovirus transmission 0.625347 Occupational Safety 0.485111 Middle East 0.579327 faster outbreak control 0.473091 measles cases 0.425047 vaccination coverage rates 0.466976 public health burden 0.702142 preventable injuries 0.54832 Lead Epidemiology Surveillance 0.524699 ladder fall injuries 0.849401 indoor firing ranges 0.656009 Health Administration 0.41986 strong polio surveillance 0.519016 Children program 0.406916 Polio cases 0.435863 acute flaccid paralysis 0.474958 Middle East meeting 0.47793 nonfatal injuries 0.586779 workplace safety research 0.487541 successful public-private partnerships 0.451723	CLICK HERE
11384	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Rural"Urban Differences in Objective and Subjective Measures of Physical Activity: Findings From the National Health and Nutrition Examination Survey (NHANES) 2003"2006 - CDC	Lower levels of physical activity among rural relative to urban residents have been suggested as an important contributor to rural–urban health disparity; however, empirical evidence is sparse.	self-reported physical activity 0.355495 high school 0.374398 rural residents 0.566102 urban physical activity 0.369911 high-intensity long-bout activity 0.353045 physical activity threshold 0.360942 rural–urban differences 0.437454 physical activity measurement 0.364857 high-intensity physical activity 0.393367 physical activity data 0.385302 physical activity differences 0.38909 subjective measures 0.386322 micropolitan rural tracts 0.383437 household physical activity 0.442481 transportation physical activity 0.368138 nonmicropolitan rural tracts 0.36593 adult physical activity 0.35995 low-intensity physical activity 0.396353 rural–urban physical activity 0.356885 nonmicropolitan rural residents 0.40167 threshold physical activity 0.368185 micropolitan rural residents 0.374437 valid accelerometer data 0.356012 urban residents 0.503778	physical activity disparity 0.35925 accelerometer data 0.365331 objective physical activity 0.520734 total physical activity 0.446094 Physical Activity Guidelines 0.359202 bout length 0.43307 leisure physical activity 0.370396 Weekly physical activity 0.358619 nationally representative sample 0.391776 physical activity measure 0.377474 daily physical activity 0.358329 micropolitan residents 0.368737 objective–subjective physical activity 0.367594 household activity 0.35693 physical activity literature 0.356224 different physical activity 0.361678 rural–urban difference 0.361062 physical activity 0.936674 subjective physical activity 0.508586 leisure-time physical activity 0.353194 short-bout physical activity 0.358924 accelerometer-measured physical activity 0.365265 time 0.357138 physical activity measures 0.437119	CLICK HERE
12924	Centers for Disease Control and Prevention	Video	en	Concussion Videos - Tracy's Mom's Story	All moms and dads should learn about concussion. Linda's daughter Tracy (http://tinyurl.com/lph4hw) got a concussion as a high school basketball player. Three years later, Tracy is still dealing with symptoms from the injury. Linda tells her story and wants all parents to know that if they think their child has a concussion, take them out of play and seek the advice of a health care professional. It's better to miss one game than the whole season. 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://www.cdc.gov/cdctv/Concussion/KeepingQuietCanKeepYouOutOfTheGame_MothersStory.wmv	Game 0.744081 Mother 0.861278	Quiet 0.990025	CLICK HERE
13534	Centers for Disease Control and Prevention	Html	en	Lead Poisoning and Anemia Associated with Use of AyurvedicMedications Purchased on the Internet - Wisconsin, 2015	Jon Meiman, MD1,2; Robert Thiboldeaux, PhD2; Henry Anderson, MD2.	1Epidemic Intelligence Service 0.771089 United States 0.792189 Urine toxic metals 0.822945 Vata Chintamani Rasa 0.798585 chelation therapy 0.806149 daily MG 0.735695 Shree Dhootapapeshwar Limited 0.783422 Wisconsin public health 0.830198 U.S. Environmental Protection 0.782173 possible environmental sources 0.795783 human health 0.727112 local health department 0.850808 Wisconsin Division 0.722339 endogenous physiologic role 0.782244 elevated blood lead 0.87355 Ayurvedic medication 0.807831 earlier reported risk 0.776736 highly toxic substance 0.774503 normal range 0.804711 Ayurvedic medications 0.917543 toxic metals 0.859353 local health departments 0.840873 inpatient medical evaluation 0.792816 public health 0.962488	peripheral blood smear 0.795889 lead-based herbal medicine 0.7648 female patient 0.747079 water lead level 0.823907 furnace atomic absorption 0.773182 Ayurvedic medicines 0.748148 Occupational Health 0.717969 optical emission spectroscopy 0.774746 outpatient lead 0.735976 BLL testing results 0.876133 Wisconsin State Laboratory 0.79247 local public health 0.816469 putative health benefits 0.800589 lead shot 0.733934 lead poisoning 0.733678 health problems 0.719508 oral meso-2,3-dimercaptosuccinic acid 0.778715 Jon Meiman 0.798887 single BLL 0.780067 Sri Ayurveda Trust 0.777929 case report confirms 0.77172 urine arsenic levels 0.847252 inductively coupled plasma 0.779558	CLICK HERE