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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4694	Centers for Disease Control and Prevention	Html	en	Understanding the production of population health and the role of paying for population health	null	incentive structures 0.588997 health insurance 0.579351 various incentives 0.574401 Mullahy J. Understanding 0.566592 mental health 0.58201 health production functions 0.663384 PPH strategy 0.577569 empiric work 0.574898 opportunity sets 0.588386 health production relationships 0.61561 various PPH strategies 0.579356 specific empiric meaning 0.568546 health production 0.747488 improved population health 0.633205 health capital 0.632807 conceptual framework 0.582005 health production activities 0.618877 population health 0.996636 PPH strategies 0.593815 PPH research agenda 0.574261 stronger incentives 0.569857 health-producing activities 0.577377 health-producing choices 0.571602 health status 0.609304 Population Health Sciences 0.630995	health-producing incentives 0.590264 various health 0.582052 health-related choices 0.575726 nontrivial empiric impediments 0.573821 choices 0.666436 personal health production 0.611562 better health outcomes 0.63443 considerable population heterogeneity 0.591328 reduced-form health production 0.613037 health production function 0.739572 empiric impediments 0.578086 incentives 0.699588 successful PPH strategy 0.572097 Community Health 0.573127 better population health 0.740896 people 0.647048 medical care 0.608575 general household production 0.569552 Grossman model 0.713561 various social sectors 0.589759 health care sector 0.602564 population health outcomes 0.817201 various sectors 0.61988 choices people 0.567815	CLICK HERE
5729	Centers for Disease Control and Prevention	Html	en	Barium chloride (as Ba) - 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
6867	Centers for Disease Control and Prevention	Html	en	Number of Swine Origin H3 Infections in Pennsylvania Rises to Three	Number of Swine Origin H3 Infections in Pennsylvania Rises to Three.	human influenza 0.519139 little seasonal influenza 0.49165 influenza infection 0.492987 Purple-coded RNA segments 0.420632 avian influenza viruses 0.635624 H3N2 influenza virus 0.524136 CDC′s Influenza Division 0.507003 human cases 0.412028 swine exposure 0.411734 seasonal flu illness 0.379813 different influenza viruses 0.668711 triple reassortant viruses 0.519943 H1N1 virus 0.44915 center virus 0.4506 influenza antiviral medications 0.491627 triple-reassortant swine influenza 0.552912 positive influenza test 0.49268 Green-coded RNA segments 0.419148 seasonal influenza vaccine 0.495668 Washington County Agricultural 0.382047 swine origin influenza 0.712739 viruses 0.970215 RNA segments 0.712985 cases 0.41755	human seasonal viruses 0.50272 North American swine 0.437579 PB1 segments 0.389365 seasonal influenza 0.497409 CDC laboratory testing 0.380799 red-coded RNA segments 0.423685 human origin HA 0.383309 virus hasn′t 0.378501 center viruses 0.478299 suspect influenza 0.460879 Pennsylvania 0.401245 Influenza Division′s Associate 0.503719 H1N1 viruses 0.462801 human seasonal flu 0.492619 influenza viruses 0.962026 seasonal flu viruses 0.533356 left virus 0.417234 new influenza viruses 0.605873 Eurasian swine 0.406827 swine viruses 0.519898 human infection 0.439078 humans 0.391035 influenza virus reassortment 0.522341	CLICK HERE
6894	Centers for Disease Control and Prevention	Html	en	Frequently Asked Questions (FAQ) About Extreme Heat|Extreme Heat	Information on extreme heat. Provided by the Centers for Disease Control and Prevention (CDC).	high body temperatures 0.557729 hot environment 0.583683 life-threatening emergency 0.410397 low salt level 0.479576 strenuous activity 0.487879 body 0.631612 Health Studies Branch 0.472998 victim alcohol 0.429979 emergency medical personnel 0.502787 heat exhaustion 0.679446 immediate medical assistance 0.502131 heat stroke 0.563187 body’s salt 0.433338 extremely hot weather 0.521231 mental illness 0.451918 elderly people 0.410836 body fluids 0.430117 cool water 0.635077 excessive sweating 0.442107 cool area 0.516413 strongest protective factor 0.466961 heat-related illness 0.953321 old age 0.420751 cool indoors 0.513487	Drink cool 0.548372 heat rash 0.587437 cool place 0.533066 emergency treatment 0.408488 air conditioning 0.467214 temperature control 0.432971 cool shower 0.714428 hospital emergency room 0.494701 heat cramps 0.67253 body’s ability 0.513607 body’s temperature 0.461574 medical attention 0.649058 heart disease 0.413706 victim 0.433861 humid environment 0.41041 Seek medical attention 0.486603 Heavy sweating removes 0.509993 sweating mechanism 0.452394 prescription drug 0.41131 Drink fruit juice 0.482298 schedule outdoor activities 0.473918 people 0.445922 painful cramps 0.444886 high blood pressure 0.495602	CLICK HERE
7746	Centers for Disease Control and Prevention	Html	en	Bartonella - Clinicians	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.	Raoult D. Recommendations 0.507628 infectious diseases 0.366733 typical signs 0.41015 children 0.25432 Koehler JE 0.390398 serology 0.386535 Dolan MJ 0.384741 first-line treatment 0.409089 mg 0.262892 Health care providers 0.511873 antibiotic treatment 0.400845 direct observation 0.38772 chocolate agar 0.397695 patients 0.266685 diagnosis 0.270757 azithromycin 0.301948 Bartonella infections 0.914072 acute phase 0.380561 Endocarditis 0.259997 aminoglycosides 0.252913 antibiotics 0.282665 B. henselae 0.574479 Oroya fever 0.426606 PCR 0.275467 Bartonella species 0.764407	blood samples 0.409563 cross-reactivity 0.255344 peripheral blood 0.400884 Int J Antimicrob 0.380074 heart valve tissue 0.533386 CSD 0.45042 Bartonella spp. 0.575309 Trench fever 0.831756 B. quintana 0.402968 kg 0.265688 blood culture 0.400919 Rolain JM 0.380366 cases 0.266124 Antimicrob Agents Chemother 0.511769 Raoult D. Pathogenicity 0.515923 lymph node aspiration 0.698628 severe pain 0.400019 lymph node volume 0.620258 human infections 0.456929 lymph node 0.832834 slow-growing bacterium 0.421171 treatment options 0.384763 compatible exposure history 0.580247 cat scratch disease 0.544219	CLICK HERE
8719	Centers for Disease Control and Prevention	Html	en	Avian Influenza in Birds	Avian (bird) influenza in birds - CDC	domesticated birds 0.349996 avian influenza 0.937755 infected flock 0.376073 United Nations 0.339199 infected birds 0.423323 influenza A viruses 0.767849 domestic poultry 0.378698 human health 0.34053 infected flocks 0.38699 certain domesticated bird 0.389249 direct contact 0.340544 pathogenic avian influenza 0.513409 Susceptible birds 0.352802 HPAI virus infection 0.385776 Plant Health Inspection 0.370603 influenza A virus 0.405686 World Health Organization 0.371269 routine surveillance 0.339366 HPAI H7 0.347176 molecular characteristics 0.344081 HPAI H5 0.346408 animal species 0.34606 mild signs 0.341403 H7 avian influenza 0.494367 multiple internal organs 0.372283	nasal secretions 0.346918 Center website 0.341603 respiratory tract 0.34655 severe disease 0.378699 LPAI viruses 0.574312 wild aquatic birds 0.447651 infected waterfowl 0.379631 wild birds 0.44042 avian influenza Type 0.533395 different species 0.34135 infected poultry 0.406753 mild illness 0.382498 National Wildlife Health 0.376329 public health 0.340295 poultry 0.443199 U.S. poultry 0.362983 ducks 0.342266 avian influenza outbreaks 0.52763 high mortality 0.386075 egg production 0.383019 poultry flocks 0.380768 influenza viruses 0.483107 United States Department 0.42244 Animal Health 0.339741	CLICK HERE
8824	Centers for Disease Control and Prevention	Html	en	National Influenza Vaccination Disparities Partnership	National Influenza Vaccination Disparities Partnership (NIVDP) is a national multi-sector campaign, spearheaded by local influential partners who commit to promote the importance of flu vaccination among underserved populations - CDC	Claire Hannan 0.686192 Initiatives 0.362742 Topics 0.337626 resources 0.336294 Dr. Arlene Lester 0.92312 Josana Tonda 0.667569	Best practices 0.540312 underserved communities 0.588427 Effective strategies 0.535274 Catherine Martin 0.597659 flu vaccination 0.941325 high-risk populations 0.614836	CLICK HERE
11838	Centers for Disease Control and Prevention	Html	en	Breast Cancer in Young African American Women	Breast Cancer - Gateway to Health Communication - CDC	young women 0.37733 african american women 0.779274 young woman 0.323351 battle breast cancer 0.325918 higher co-morbidity 0.232987 effective method 0.231862 health care team 0.25369 higher-grade tumors 0.232454 key barriers 0.230739 early menopause 0.229773 survival rate 0.259713 generational health 0.233953 breast health 0.42517 significant implications 0.233185 risk factors 0.23367 lower survival rates 0.255339 financial stability 0.229312 abnormal breast health 0.375397 Younger women 0.244505 breast health course 0.345246 aggressive breast cancers 0.334433 poverty deter 0.231778 potentially life-threating situation 0.252865 woman’s story 0.228974 breast cancer diagnosis 0.383742	larger tumor sizes 0.257421 breast cancer rates 0.355194 breast abnormality 0.301956 breast cancer screenings 0.339379 young age 0.239198 impact breast cancer 0.32651 higher risk 0.255766 harsh outcomes 0.231506 unique challenges 0.262697 breast malignancy 0.301767 breast cancer 0.902674 breast milk 0.29792 Caucasian women 0.268053 older women 0.264498 lymph node involvement 0.259224 doctor 0.238196 cultural barriers 0.230958 increased risks 0.230198 later stages 0.230905 late stage diagnosis 0.25778 risk 0.264129 five-year breast cancer 0.344263 body image 0.228851 breast cancer statistics 0.328621	CLICK HERE
12031	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Trends in Diabetes and Cardiometabolic Conditions in a Canadian First Nation Community, 2002"2003 to 2011"2012 - CDC	The burden of diabetes and cardiovascular disease among the Canadian First Nation population is disproportionately high compared with the general Canadian population. Continuous monitoring of the diabetes epidemic among the Canadian First Nations population is necessary to inform public health practice. The purpose of the study was to compare the prevalence of diabetes and cardiometabolic conditions in a Manitoba First Nation between 2 periods.	physician-diagnosed diabetes 0.274003 sex-specific crude prevalence 0.323261 blood glucose 0.279398 C. Undiagnosed diabetes 0.234753 age group 0.300999 diabetes advisory group 0.257442 lower prevalence 0.283704 higher prevalence 0.232878 sex-standardized prevalence 0.207972 crude prevalence 0.789228 undiagnosed diabetes 0.311215 diabetes screening studies 0.272198 Nations people 0.264678 men 0.300251 diabetes epidemic 0.356117 Community Health Sciences 0.226819 nation community 0.205959 cardiometabolic conditions 0.304557 age-stratified crude prevalence 0.266854 public health 0.235295	newly diagnosed diabetes 0.233226 International Diabetes Federation 0.252292 age-standardized diabetes prevalence 0.420609 Sandy Bay 0.387892 Diabetes Care 0.318965 sex-specific prevalence 0.207008 Diabetes Federation Task 0.210438 MacKinnon M. Diabetes 0.215806 age-standardized prevalence 0.79207 community 0.266943 metabolic syndrome 0.36175 higher crude prevalence 0.314937 previous diabetes diagnosis 0.255973 Sandy Bay Ojibway 0.323227 age-standardized obesity prevalence 0.308973 diabetes 0.971945 crude diabetes prevalence 0.423726 diabetes screening study 0.27271 diabetes status 0.201399	CLICK HERE
15792	Centers for Disease Control and Prevention	Html	en	Hearing Loss in Infants with Microcephaly and Evidence ofCongenital Zika Virus Infection - Brazil, November 2015-May 2016 |MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	hearing testing 0.276548 behavioral auditory testing 0.244367 late-onset hearing impairment 0.299403 initial screening tests 0.259239 Congenital infection 0.302141 presumed Zika-virus infection 0.25074 congenital zika virus 0.682541 auditory brainstem response 0.244994 sensorineural auditory impairment 0.285436 children 0.278102 maternal rash 0.252942 auditory function 0.24542 congenital viral infection 0.282945 gestational age 0.24899 behavioral auditory evaluation 0.241022 infants 0.291174 hearing thresholds 0.279519 Hospital Agamenon Magalhães 0.303025 laboratory evidence 0.272789 decibels normal hearing 0.296759 pregnancy 0.243224 Zika virus disease 0.264535 auditory deficits 0.245 Infant Hearing 0.281392 diagnostic hearing tests 0.300572	congenital rubella 0.246645 congenital sensorineural hearing 0.373835 hearing loss 0.993342 head circumference 0.255857 sensorineural hearing loss 0.899997 profound sensorineural hearing 0.379222 severe microcephaly 0.287351 congenital Zika syndrome 0.280183 Zika virus infection 0.916696 congenital infections 0.288479 auditory evaluation 0.243387 unilateral sensorineural hearing 0.332721 auditory testing 0.244424 Zika virus-specific immunoglobulin 0.243827 hearing deficit 0.27401 auditory screening programs 0.240772 auditory function evaluation 0.242992 hearing evaluation 0.274787 normal initial screening 0.259644 risk factor 0.245958 conductive hearing loss 0.323039 congenital viral infections 0.392888 congenital hearing loss 0.347143 familial hearing loss 0.312671	CLICK HERE