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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
525	Centers for Disease Control and Prevention	Html	en	Taking Neighborhood Health to Heart (TNH2H): building a community-based participatory data system.	Healthy People 2020 calls for increased monitoring of local health and health disparities, but successful models of designing and implementing data collection systems for this purpose are lacking.	social determinants 0.46838 health issues 0.468523 data collection methods 0.445455 health disparities 0.606038 local grocery stores 0.451363 community-based data collection 0.464911 salient health issues 0.444879 data review 0.508772 health information systems 0.448103 CATI unit 0.443793 neighborhood health priorities 0.478603 data collection 0.785355 TNH2H Council meetings 0.486388 neighborhoods 0.707426 grocery stores 0.478502 decrease health disparities 0.444001 neighborhood audit data 0.473579 TNH2H neighborhood 0.443395 data collection process 0.446816 old established neighborhoods 0.444504 TNH2H Council 0.801574 telephone survey 0.445449 better data systems 0.449142 neighborhood 0.62763 TNH2H survey sample 0.742012	comprehensive health data 0.514175 neighborhood built-environment data 0.486243 locally relevant data 0.444502 community recruiters 0.472925 community members 0.933399 household survey 0.457622 focus groups 0.481913 local health indicators 0.472915 neighborhood health 0.582954 community input 0.456681 diverse neighborhoods 0.444757 local data collection 0.536054 data collection systems 0.468969 neighborhood Community pride 0.465699 CBPR data collection 0.496848 health 0.79625 community-based participatory research 0.514169 community residents 0.450702 diverse urban neighborhoods 0.473175 joint data review 0.452432 TNH2H Data Review 0.47579 TNH2H steering committee 0.482372 local health data 0.627378 individual health surveys 0.446055	CLICK HERE
820	Centers for Disease Control and Prevention	Html	en	H7N9 Testing Recommendations	Interim Guidance for Infection Control Within Healthcare Settings When Caring for Patients with Confirmed, Probable, or Cases Under Investigation of Avian Influenza A(H7N9) Virus Infection - CDC	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
5682	Centers for Disease Control and Prevention	Html	en	1,1-Dichloroethane - 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
7747	Centers for Disease Control and Prevention	Html	en	Bartonella - Distribution	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.	feline bartonellosis 0.374061 young cats 0.390006 wild animals 0.372244 clear B. henselae 0.428277 Bartonella spp 0.567113 dogs 0.40709 stray cats 0.45072 public health risk 0.423614 Bartonella-specific DNA sequences 0.419757 infected cat 0.385787 Domestic pets 0.379402 blood transfusions 0.384975 worldwide dog populations 0.431517 Bartonella species.  Cats 0.725152 Low seroprevalence 0.373307 Bartonella vinsonii subsp. 0.665489 reservoir hosts 0.371501 febrile illness 0.3708 Bartonella infections 0.58191 Bartonella henselae bacteremia 0.817882 immunofluorescence antibodies 0.369886 massive vegetative lesions 0.427566 Bartonella henselae 0.905746 human infection 0.401282 B. henselae 0.490219	healthy cats.  Cats 0.473855 infected fleas 0.424076 swollen lymph nodes 0.43905 cat fights 0.37841 natural reservoir 0.372551 subclinical carriers 0.371013 sensitive diagnostic tool 0.421967 various species 0.379317 Bartonella clarridgeiae 0.629223 Bartonella-associated endocarditis 0.383056 Bartonella transmission 0.557791 granulomatous rhinitis 0.379713 clinical symptoms 0.50438 younger cats 0.401503 clinical signs 0.37334 Bartonella exposure 0.576929 granulomatous lymphadenitis 0.382715 Bartonella species.  Bartonella 0.89558 advocate declawing cats 0.446087 infected blood 0.403904 symptomatic pets 0.370868 B. vinsonii berkhoffii 0.433625 various Bartonella species 0.656441 B. henselae infections 0.440485	CLICK HERE
8146	Centers for Disease Control and Prevention	Html	en	Preconception Care, Show Your Love Campaign - Image, Planning for a baby	null	full-size image,right click 0.985635 Save target 0.727095	Save 0.840912	CLICK HERE
9780	Centers for Disease Control and Prevention	Html	en	Prevalence of Doctor-Diagnosed Arthritis andArthritis-Attributable Activity Limitation - United States,2010-2012	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.	Human Services 0.520822 public health practitioners 0.518625 multiple chronic conditions 0.629511 U.S. Department 0.553596 Unadjusted prevalence estimates 0.492983 unadjusted overall prevalence 0.481982 doctor-diagnosed heart disease 0.494511 arthritis prevalence 0.626025 High arthritis prevalence 0.611992 doctor-diagnosed arthritis 0.900213 previous U.S. estimates 0.487205 Health Interview Survey 0.486693 rheumatoid arthritis 0.584369 persons 0.479086 arthritis 0.959725 chronic disease 0.504477 physical activity level 0.483767 U.S. standard population 0.479003 United States 0.496466 self-reported doctor-diagnosed arthritis 0.654956 adults 0.710178 adult U.S. population 0.479581 prevalence estimates 0.511912 Physical Activity Guidelines 0.51875 civilian U.S. population 0.484268	AAAL prevalences 0.515451 heart disease 0.897374 Age-adjusted AAAL prevalence 0.568067 physical activity recommendations 0.478608 chronic disease comorbidity 0.477034 arthritis-attributable activity limitation 0.480857 AAAL findings 0.50879 U.S. adults 0.516283 health 0.611096 Kamil E. Barbour 0.522411 high prevalence 0.5009 AAAL create 0.512274 U.S. population 0.502992 chronic conditions 0.660103 physical activity 0.75373 self-management education 0.528332 Chronic Disease Prevention 0.481108 obese adults 0.486696 leisure-time physical activity 0.478531 arthritis estimate 0.550854 highest AAAL prevalence 0.56583 disease self-management education 0.485161 Age-adjusted prevalence estimates 0.494834 coronary heart disease 0.51886	CLICK HERE
10697	Centers for Disease Control and Prevention	Html	en	Key Websites and Online Resources'Resources' Communicating in the First Hours	The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency.	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
12206	Centers for Disease Control and Prevention	Html	en	For General Healthcare Settings in West Africa: InitialScreening of Patients within the Healthcare System | EbolaHemorrhagic Fever | CDC	null	digital thermometer 0.753249 community members 0.605447 feet 0.585578 screening attendant 0.909594 distance 0.537107 alcohol-based hand rub 0.670384 greater core temperature 0.707398 unexplained hemorrhage 0.602779 appropriate PPE 0.61514 infection control 0.611945 disposable paper towel 0.670528 mercury thermometers 0.607201 Digital thermometers 0.598552 additional symptoms 0.590986 main clinic 0.613394 muscle pain 0.589712 Chlorine residue 0.610041 important components 0.611534 hand hygiene procedures 0.661235 accurate temperatures 0.591682 patient 0.693684 physical contact 0.597932 body temperature 0.623212 severe headache 0.595192	healthcare facility 0.610488 chlorine solution 0.695107 his/her hands 0.707729 screening station 0.656588 face mask 0.594866 patients 0.703809 Ebola-related signs 0.600758 Additional precautionary measures 0.684956 unscreened patients 0.621431 mercury thermometer 0.675346 impermeable gown 0.611416 his/her gloves 0.60641 people 0.537423 screener 0.54523 EVD 0.541959 healthcare workers 0.609057 unexplained bleeding 0.607558 pre-screening area 0.605704 screening procedures 0.651193 noncontact infrared thermometers 0.678947 face shield 0.595098 entire thermometer 0.667959 minimum 0.540044	CLICK HERE
13511	Centers for Disease Control and Prevention	Html	en	Success Stories in Environmental Health | CDC Features	Did you know that your environment and your health are connected? The National Center for Environmental Health (NCEH) and the Agency for Toxic Substances and Disease Registry (ATSDR) protect and promote environmental health across the United States.	NCEH epidemiologists 0.646121 CDC 0.453502 people’s lives 0.484 dangerous events 0.489614 scientific expertise 0.480622 environmental health 0.624523 Arizona health 0.506114 Amyotrophic Lateral Sclerosis 0.551537 Disease Control 0.489688 toxic substances 0.924784 blood sample 0.489216 real difference 0.478127 population-based estimate 0.48726 national health agencies 0.571327 ALS prevalence 0.484815 National Center 0.571695 liver disease 0.490157 different focus 0.482133 sister agency 0.487107 water 0.431145 Humboldt Smelter Site 0.566895 environmental hazards 0.563184 different types 0.483612 environment agencies 0.501122 ATSDR 0.709678	health condition 0.497537 contaminated food 0.481263 NCEH 0.783833 ATSDR’s National 0.591447 actual examples 0.488118 foodborne illness outbreaks 0.542278 environmental exposures 0.491886 Wikimedia Commons 0.491487 ATSDR staff 0.668051 community members 0.486868 people’s health 0.500092 United States 0.63396 common issues 0.4853 Iron King 0.488297 tracks health problems 0.571773 ALS Registry 0.484849 stories 0.424769 hazardous substances 0.513343 harmful amounts 0.495387 health 0.634352 EPA 0.432406 air pollution 0.478795 information 0.427952 Disease Registry 0.568251	CLICK HERE
14266	Centers for Disease Control and Prevention	Html	en	Revision to CDC's Zika Travel Notices: Minimal Likelihoodfor Mosquito-Borne Zika Virus Transmission at Elevations Above2,000 Meters | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	mosquito-borne Zika virus 0.49069 current geographic data 0.274653 digital elevation model 0.276257 high elevations 0.357478 Zika virus 0.975944 subnational travel alerts 0.29057 recent Zika virus 0.376354 pregnant women 0.32562 Ae. albopictus persistence 0.274147 unsuitable ecologic factors 0.285582 CDC Zika virus 0.378211 active Zika virus 0.364392 U.S. territories 0.449295 U.S. territory 0.314913 certain elevations 0.28672 Zika virus transmission.† 0.362841 Zika virus presence 0.345251 ongoing Zika virus 0.57532 Zika virus disease 0.363585 countries 0.293195 Ae. aegypti 0.619436 Zika travel notice 0.300652 Aedes aegypti mosquitoes 0.356405 Zika virus transmission 0.782552 dengue virus transmission 0.337188	American Health Organization 0.274068 quantifiable ecologic variable 0.292117 maternal Zika virus 0.376159 Aedes species 0.286442 human dengue cases 0.282594 geographic data 0.306724 Zika virus risk 0.362547 Zika virus transmission.** 0.346021 Zika virus cases 0.401441 multiple data sets 0.277035 predominant Zika virus 0.361425 subnational travel notices 0.329482 100-m elevation segments 0.275548 ecologic factors 0.330724 precisely defined areas 0.273576 Zika virus transmission. 0.342918 elevations 0.400045 global data 0.275892 incomplete surveillance data 0.277413 global geographic data 0.279566 travel notices 0.331982 human population density 0.332663 alert travel notice* 0.290794 sea level 0.277347	CLICK HERE