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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
7950	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | So What? A Framework forAssessing the Potential Impact of Intervention Research -CDC	Journals are full of studies of interventions with results that are statistically “significant” but lack guidance on the real importance of the work. We suggest that articles concerning clinical or population-health interventions should be accompanied by structured information about the potential health impact.	Los Angeles County 0.821454 anticipated population-level effect 0.747905 economic burden 0.834489 Medical Journal Editors 0.734073 total burden 0.767427 standardized information 0.815526 potential health effect 0.80119 relative burden 0.762773 economic value 0.735998 unusual health conditions 0.802148 evidence-based recommendations 0.736977 net health effect 0.797283 specific disease category 0.747455 public’s health 0.770839 rational resource allocation 0.727075 Preventable burden 0.806881 greatest practical importance 0.729012 journal editors 0.824149 health care costs 0.817643 manuscript review process 0.72229 important population interventions 0.826948 population groups 0.725369 population-health interventions 0.749233 Angeles County Department 0.822868 small populations 0.73761	overall health burden 0.879704 incremental cost effectiveness 0.741533 substantial population-health benefit 0.734067 entire population 0.774461 potential population-health impact 0.764782 costly specific therapies 0.73027 adverse health outcomes 0.782869 different evidence-based recommendations 0.725627 greater health impact 0.786518 intervention study 0.726201 greatest population-health benefit 0.736811 studies 0.761168 highly effective interventions 0.921892 greatest health improvement 0.806756 public health 0.91621 highest value interventions 0.779961 public health publications 0.792082 total population 0.723786 health 0.966257 public health programs 0.818325 avoidable incremental burden 0.828771 potential health impact 0.914398 Los Angeles 0.85432 information 0.842841	CLICK HERE
8596	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - In Memorial, Otey VanDenburah Gilmar	In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss.	pandemic flu 0.641805 Pittsylvania County 0.629242 Otey VanDenburah Gilmar 0.946333 father 0.435644 training 0.42788 girls 0.429555 Grace Fitzgerald 0.620379 mother 0.435506 tobacco farmer 0.605282 Thomas Jones Fitzgerald 0.776661 Storyteller 0.450825 Cary Perkins 0.655401 Chatham 0.44517	Grace′s death 0.572792 Frank Augustus VanDenburah 0.768627 families 0.429256 Cary G. Smith 0.835635 cousin 0.450259 nurses 0.435897 money 0.42787 nursing school 0.57223 Hattie VanDenburah 0.609113 family 0.429864 Virginia 0.515107 daughter 0.501057 Location 0.435126	CLICK HERE
8640	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - Finding A Cure, Sadie Afraid of His Horses-Janis	Finding A Cure, One of the most important challenges, for health communicators today, is helping the public to understand that a flu shot will not be readily available when the next pandemic strikes. Once the virus is identified, it will take several months to produce a vaccine. In 1918, in desperation, people tried a variety of methods to cure the sick —some practical and effective, others questionable and even amusing.	Sadie Afraid 0.567346 1918 flu pandemic 0.581589 cousin Edgar 0.412807 sweet grass 0.485277 Poor Elk–Red Cloud 0.575992 cousin Nancy 0.460837 flat cedar 0.492088 Red Cloud 0.979346 Pine Ridge 0.719573 Pine Ridge Indian 0.514573 white kerosene 0.425634 members 0.40611 Sadie′s father 0.511983 Sadie′s brother Paul 0.484543 influential Sioux leaders 0.514871 husband Joe Hand 0.503965 Denver Broncos football 0.481386 flat cedar tea 0.476757 Red Cloud family 0.884258 Alice Red Cloud 0.579235 Jack Red Cloud 0.604758 Sadie′s grandmother 0.476898 five–day journey 0.413714 personal items 0.5024 cousin depart 0.421631	Spud Pickin 0.416474 Sadie′s sister 0.416746 Young Man Afraid 0.536132 grandmother Sadie 0.641509 Nancy 0.504139 Nancy′s family 0.451972 Sallie Black Bear 0.509768 Sadie′s siblings Zona 0.536892 bad sickness 0.502386 economic venture 0.408012 real bad sickness 0.498968 Alliance 0.419217 parents Lucy 0.409981 Susie Red Cloud–Hand 0.533545 elderly grandmother′s wagon 0.503617 South Dakota 0.535679 wagon box 0.418302 Sadie 0.667503 Short Bull 0.421446 home 0.437662 Frank Afraid 0.439841 oldest children 0.410184 drizzling rain 0.40577 Edgar Red Cloud 0.580469	CLICK HERE
9395	Centers for Disease Control and Prevention	Html	es	Realización de una encuesta estatal sobre exámenes de salud: la Encuesta de Exámenes de Salud Cardiovascular de Arkansas (ARCHES).	null	Salud Cardiovascular 0.928984		CLICK HERE
10051	Centers for Disease Control and Prevention	Html	en	CDC Global Health - Stories - People on the Move: Reaching Mobile Workers in the Dominican Republic	null	construction workers 0.768191 early results 0.592353 Ministry 0.556196 national surveillance 0.582414 so-called mobile workers 0.705322 truck drivers 0.599232 farm 0.532751 street vendors 0.595941 lay health educators 0.680902 health emergencies 0.598444 data shows 0.597975 seasonal work 0.607569 testing 0.532724 public health officials 0.705149 construction sites 0.595429 farms 0.534662 intimate knowledge 0.593229 highest priorities 0.588825 larger effort 0.585311 pregnant mothers 0.584922 precise size 0.598042 new cases 0.586045 impressive results 0.605947 HIV/AIDs 0.554601 condoms 0.519402	mobile populations 0.588513 general population 0.604071 local community 0.593826 HHS 0.519811 promotores 0.531678 sexually transmitted infections 0.655258 mobile population 0.606673 CDC’s country 0.637036 adult HIV 0.61406 sugar cane plantations 0.693907 prevention methods 0.588969 health care workers 0.680568 social stigma 0.593767 additional benefits 0.589167 counseling 0.532724 hard-to-find population 0.6261 mobile health units 0.685596 people 0.602777 transient workers 0.603288 laborers 0.521092 small group interventions 0.666233 non-governmental agencies 0.59664 non-federal site 0.592186 Dominican Republic 0.949453	CLICK HERE
10091	Centers for Disease Control and Prevention	Html	en	CDC study shows that child passenger deaths have decreased 43 percent from 2002 - 2011 | Press Release | CDC Online Newsroom | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	Rear-facing car seat 0.643522 seat belt fit 0.629552 car seat 0.914738 Mortality Weekly Report 0.410411 booster seat age 0.714808 forward-facing car seat 0.689903 CDC’s National 0.379537 Daniel M. Sosin 0.418387 upper weight 0.403703 booster seat 0.981329 best way 0.370481 Child Passenger Safety 0.420285 motor-vehicle occupant deaths 0.433907 Disease Control 0.369926 children 0.528128 CDC journal Morbidity 0.424239 Fatality Analysis Reporting 0.420903 health care-associated infections 0.405183 size-appropriate car seats 0.456688 height limit 0.408673 Child passenger restraint 0.519385 CDC Director Tom 0.445668 new Vital Signs 0.428257 booster seats 0.535459 car seats 0.541931	child rides 0.3755 seat 0.992451 child deaths 0.388521 required car seat 0.655941 seat belts 0.863151 parents 0.377643 size-appropriate child restraints 0.547269 passenger restraint laws 0.520437 motor vehicle crash 0.519729 motor vehicle 0.622121 percent 0.367724 white children 0.396096 forward-facing seat 0.568344 prescription drug overdose 0.40503 vehicle crash deaths 0.448697 Traffic Safety Administration 0.422313 key health indicators 0.405762 motor vehicle passenger 0.41349 seat give-away programs 0.603701 Vital Signs report 0.534843 motor vehicle deaths 0.422087 age-and size-appropriate child 0.430093 seat belt 0.681719 rear-facing seat 0.598069	CLICK HERE
11576	Centers for Disease Control and Prevention	Html	en	NER - Peer-Reviewed Biomonitoring Articles | (PCBs), and Organochlorine Pesticides	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
12954	Centers for Disease Control and Prevention	Html	en	Invasive Cancer Incidence and Survival - United States,2011	S. Jane Henley, MSPH1, Simple D. Singh, MD1, Jessica King, MPH1, Reda Wilson, MPH1, Mary Elizabeth O'Neil, MPH1, A.	S. Jane Henley 0.436997 female breast cancer 0.417507 data 0.462502 skin cancer prevention 0.412248 melanoma incidence rates 0.419902 high cancer incidence 0.483708 invasive cancers 0.451353 relative survival rate 0.441842 lung cancer 0.439808 Central Cancer Registry 0.443584 U.S. Cancer Statistics 0.441334 cancer incidence rates 0.797113 white persons 0.415513 cancer control programs 0.429143 5-year relative survival 0.650422 colorectal cancer 0.48419 state-specific cancer incidence 0.463685 cancer diagnosis 0.454271 annual incidence 0.468862 persons 0.510427 cancer survivors 0.461452 cancers 0.47476 relative survival rates 0.448827 cervical cancer incidence 0.519944 Puerto Rico 0.52545	common cancer sites 0.414762 cancer prevention 0.42361 regional cancer registry 0.412603 United States 0.546876 cancer registry data 0.453289 site-specific cancer incidence 0.469328 cancer incidence rate 0.468334 cancer registries 0.483454 population-based cancer registries 0.429544 Annual incidence rates 0.435672 cell skin cancers 0.411863 National Cancer Institute 0.444694 annual incidence rate 0.432445 cancer surveillance data 0.427429 Healthy People 0.456105 colorectal cancer incidence 0.46885 black persons 0.444654 cancer survival rates 0.460136 USCS publication criteria 0.448879 central cancer registries 0.42389 breast cancer 0.436804 national cancer objectives 0.414974 age-adjusted annual incidence 0.420147 prostate cancer 0.441407	CLICK HERE
13703	Centers for Disease Control and Prevention	Html	en	Estimated Lifetime Medical and Work-Loss Costs of EmergencyDepartment-Treated Nonfatal Injuries - United States, 2013	Curtis Florence, PhD1; Tamara Haegerich, PhD2; Thomas Simon, PhD3; Chao Zhou, PhD1; Feijun Luo, PhD1.	lifetime cost estimates 0.29711 fall injuries 0.381454 ED-treated nonfatal injury 0.394381 injuries 0.992724 age-specific injury rates 0.316027 ED-treated injuries 0.58275 lifetime costs 0.466102 substantial costs 0.391462 Total estimated costs 0.435401 additional costs 0.38435 unintentional injuries 0.606244 violence-related injuries 0.37587 violent injuries 0.422647 average costs 0.40746 considerable societal costs 0.405216 self-harm costs 0.47554 National Electronic Injury 0.317534 total estimated lifetime 0.293354 medical care costs 0.435745 System–All Injury Program 0.314598 Unintentional Injury Prevention 0.321817 age groups 0.320775 fatal injury costs 0.645531 substantial work-loss costs 0.430733 motor vehicle–related injuries 0.406041	higher work-loss costs 0.434111 work-loss costs 0.777151 transportation-related injuries 0.427977 nonfatal injury reports 0.394671 firearm-related injuries 0.387794 Web-Based Injury Statistics 0.314777 self-harm injuries 0.518397 lifetime work-loss costs 0.54495 ED-treated nonfatal injuries 0.69503 Assault injuries 0.435603 U.S. Census Bureau 0.325947 intentional injuries 0.390807 total costs 0.454983 health care 0.31059 costs 0.956225 total lifetime work-loss 0.311427 ED-treated injury costs 0.458873 large share 0.352409 medical costs 0.508658 nonfatal injuries 0.944243 nonfatal injury costs 0.641279 motor vehicle crashes 0.330994 primarily motor vehicle 0.330241 hospital costs 0.406314	CLICK HERE
15688	Centers for Disease Control and Prevention	Html	en	Pregnant? Get vaccinated.	Learn about the vaccines you will need before and during your pregnancy to help protect yourself and your newest family member from serious diseases.	newest family member 0.374775 CDC 0.237576 half 0.233362 American Academy 0.291636 evidence 0.231915 data 0.229718 Nurse midwives 0.293984 body 0.235728 time period 0.274086 flu vaccines 0.546684 pregnant women 0.524479 safety 0.229705 disease protection 0.279446 flu vaccination 0.411626 antibodies 0.259914 rubella 0.240673 pregnancy 0.572663 early life 0.275835 trimester 0.240888 baby girl 0.287013 high risk 0.277574 Flu activity 0.398605 professional medical groups 0.372858 trimesters 0.21909 whooping cough vaccine 0.735486	short-term protection 0.274391 flu vaccine 0.631063 immunity 0.218332 flu-related hospitalizations 0.292065 flu shots 0.43568 flu protection 0.403522 vaccine viruses 0.3211 seasonal flu outbreaks 0.459324 American College 0.291566 pregnancy complications 0.327403 current flu season 0.490853 preterm delivery 0.366787 birth weight 0.27401 complications 0.335864 lung functions 0.284487 birth defects 0.282727 flu 0.757668 doctor 0.240358 whooping cough 0.95139 flu shot 0.560761 healthy pregnancy 0.29809 illness milder 0.284533 baby 0.459484 risk 0.299425	CLICK HERE