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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1143	Centers for Disease Control and Prevention	Html	en	Promoting Policy and Systems Change to Expand Employment of Community Health Workers (CHWs)'eLearning'DHDSP'CDC	This course is designed to provide state programs and other stakeholders with basic knowledge about Community Health Workers (CHWs), such as official definitions of CHWs, workforce development, and other topic areas. In addition, the course covers how states can become engaged in policy and systems change efforts to establish sustainability for the work of CHWs, including examples of states that have proven success in this arena.	financial interests 0.621916 CDC 0.571262 collaborative effort 0.632572 course sessions 0.696722 arena 0.440222 planners 0.437267 commercial supporters 0.624032 workforce development 0.682773 Disease Control 0.631959 Carl Rush 0.628823 five-minute survey 0.679309 Completion time 0.656589 addition 0.440922 topic areas 0.666618 commercial services 0.62629 Community Health Workers 0.90041 primary author 0.632089 six-session course 0.705462 GEARS 0.441173 sustainability 0.448418 Heart Disease 0.633519 official definitions 0.667669 efforts 0.438313 commercial products 0.626782 examples 0.442834	success 0.44273 CHWs 0.513443 Centers 0.437724 commercial support 0.633895 REACH Program 0.636642 MRP 0.455 stakeholders 0.464073 basic knowledge 0.674068 states 0.47302 conclusion 0.456986 state programs 0.674721 content experts 0.622491 systems 0.44306 course 0.773708 Division 0.437977 policy 0.443095 succession 0.450624 charge 0.437664 Stroke Prevention 0.631933 satisfaction 0.44496 Launch 0.437223 Community Resources 0.628402 DHDSP web site 0.811589 user 0.440347	CLICK HERE
5100	Centers for Disease Control and Prevention	Html	en	Science Clips - Monday, June 28, 2010	null	community coalitions 0.697072 Wheeler LS 0.69456 Rev Med Virol. 0.755971 secondary household transmission 0.861496 Lee VJ 0.770279 Low secondary transmission 0.754284 Chan KH 0.697179 snake oil remedy 0.766259 protective role 0.743216 Tangka FK 0.707286 young Swedish men 0.753215 Action Science Clips 0.934505 fatal breast cancer 0.782062 new weekly digest 0.787408 Tan BH 0.763819 Chief Science Officer 0.781411 urban police officers 0.752777 pedestrian injury research 0.757619 Fung RO 0.700036 Clin Infect Dis. 0.777313 school outbreak 0.763097 health facility management 0.764459 Tay JK 0.761003 Infect Dis. 0.795575	Fang VJ 0.731782 Public Health Rep. 0.926824 fatal occupational injuries 0.770259 school medical inspection 0.774689 occupational mortality 0.697934 United States 0.923848 potential life 0.694688 public health strategy 0.78073 pandemic influenza 0.747462 cancer deaths-United States 0.792213 trachomatis genital infection 0.758722 Moll HA 0.696279 law enforcement 0.694647 Jun 0.763697 Doctor LJ 0.696803 1918-1919 influenza pandemic 0.83831 B. Thacker CDC 0.807137 Ind Med. 0.697621 Cetron MS 0.776806 Prev Med. 0.694137 Mol Cancer. 0.69416 Ma ES 0.695768 et al 0.936717 coronary heart disease 0.75318	CLICK HERE
7874	Centers for Disease Control and Prevention	Html	en	Group B Strep in Newborns - Health Communication	Gateway to Health Communication and Social Marketing Practice - Group B Strep in Newborns	preterm birth 0.512803 hospitals 0.36414 simple screening test 0.672109 mental retardation 0.512149 pregnant women 0.700869 African-Americans 0.340097 Disease rates 0.500565 pregnant woman 0.759698 sexual contact 0.50631 busy trauma center 0.641075 apparently healthy baby 0.652758 strep prevention policies 0.80452 newborn infants 0.589188 early labor 0.486932 rectal swab 0.518905 distraught parents consent 0.644693 age groups 0.49696 prenatal care 0.482125 symptoms 0.337455 special machine 0.488404 prevention strategies 0.487061 following cases 0.483225 difficulty breathing 0.524096 lethargy 0.352722	sepsis 0.412777 child 0.33644 antibiotic therapy 0.494208 intensive care nursery 0.623114 fever 0.335439 strep infections 0.672835 group b strep 0.960304 pneumonia 0.437634 ventilator 0.384365 pregnant African-American woman 0.691279 GBS 0.341928 gestation 0.340738 delivery 0.404528 intravenous antibiotics 0.523139 Yes. Most group 0.513587 infant cries 0.505417 miscarriage 0.343086 newborns 0.338673 blood 0.359304 extreme cases 0.499982 long-term neurological problems 0.629177 strep cases 0.676889 current guideline 0.499349 vision loss 0.504647	CLICK HERE
8337	Centers for Disease Control and Prevention	Html	en	ACE Center Descriptions: University of Michigan - Violence Prevention - Injury Center	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
9969	Centers for Disease Control and Prevention	Html	en	Prepare Your Home for Winter Weather	Taking preventive action is your best defense against having to deal with extreme cold-weather conditions. By preparing your home and car in advance for winter emergencies, and by observing safety precautions during times of extremely cold weather, you can reduce the risk of weather-related health problems.	temperatures 0.458116 winter storms 0.788413 stages 0.371516	challenge 0.397336 winter storm 0.722421	CLICK HERE
10784	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Impact of Individual and Worksite Environmental Factors on Water and Sugar-Sweetened Beverage Consumption Among Overweight Employees - CDC	The worksite environment may influence employees’ dietary behaviors. Consumption of water and sugar-sweetened beverages (SSBs) affect weight management; however, little research has evaluated the influence of worksite factors on beverage consumption. Our purpose was to determine whether individual and worksite factors are associated with water and SSB intake among overweight and obese employees.	unhealthier beverage consumption 0.472839 beverage consumption behaviors 0.540869 daily water intake 0.408216 worksite environmental factors 0.40697 higher beverage intake 0.397932 validated beverage intake 0.428481 worksite environmental characteristics 0.456607 worksite break policy 0.404177 water consumption information 0.418294 unhealthy beverage consumption 0.496389 Habitual beverage intake 0.413196 beverage intake patterns 0.483636 worksite water coolers 0.496575 SSB consumption 0.708808 worksite conditions 0.438925 Lower SSB consumption 0.50049 daily water consumption 0.42748 water consumption 0.745874 worksite type 0.429937 beverage consumption patterns 0.465183 water consumption model 0.417497 highest water consumption 0.409342 beverage consumption model 0.434696 higher SSB consumption 0.42841 total beverage consumption 0.441981	healthier beverage consumption 0.522876 lower SSB intake 0.433937 healthier beverage intake 0.48843 water consumption account 0.415248 worksite beverage environment 0.500792 fl oz 0.482886 beverage intake 0.657972 lowest water consumption 0.411272 water intake 0.417606 worksite factors 0.469465 worksite vending machines 0.413589 healthful beverage intake 0.406268 SSB caloric intake 0.484258 beverage consumption habits 0.426797 energy intake 0.420499 beverage consumption 0.905508 worksite weight management 0.406013 beverage consumption equation 0.422005 regular soda slots 0.622814 SSB intake 0.565483 habitual beverage consumption 0.505556 worksite 0.556381 beverage intake questionnaire 0.473375 higher SSB intake 0.435032	CLICK HERE
11315	Centers for Disease Control and Prevention	Html	en	Risk of Exposure | Ebola Hemorrhagic Fever	null	Ebola epidemic 0.703909 semen 0.432775 Past Ebola outbreaks 0.753994 needles 0.415245 CDC 0.413654 United States 0.470346 Ebola viruses 0.76333 objects 0.413557 syringes/sharps 0.413512 wild animals 0.474685 result 0.413337 African countries 0.483053 following countries 0.465448 direct contact 0.478542 Ebola transmission 0.692233 contact 0.529666 close contact 0.479003 man 0.412668 multiple countries 0.468862 cases 0.422088 bushmeat 0.421825 infected blood 0.503862	medical equipment 0.477041 public health partners 0.528223 Democratic Republic 0.48608 sex 0.425777 Ebola River 0.757604 people 0.413334 Congo 0.417542 clothes 0.414003 friends 0.413841 food 0.413065 infected wildlife 0.500451 highest risk 0.478928 West Africa 0.468782 healthcare workers 0.468058 Ebola patients 0.757324 information 0.412716 infected body fluids 0.574698 Healthcare providers 0.476471 vaginal fluids 0.485451 family 0.413851 Ebola 0.957734 humans 0.413874	CLICK HERE
12109	Centers for Disease Control and Prevention	Html	en	HIV Care Saves Lives	CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics.	Mortality Weekly Report 0.277437 HIV prevention 0.448124 Doctor’s Channel 0.242079 body 0.209412 Counsel patients 0.284808 clinical data 0.286377 low levels 0.25081 viral suppression 0.571721 HIV status 0.392176 Work 0.21731 guidelines 0.208265 HIV testing site 0.420759 health care providers 0.289497 support services 0.244064 mental health services 0.345118 nearly normal lifespans 0.284936 HIV Diagnosis 0.390475 Signs Issue details 0.276135 smart phone 0.241075 HIV medical care 0.938019 Affordable Care Act 0.286781 HIV medicines 0.547257 nutrition 0.217397 chances 0.209224 high risk 0.241266	quality health care 0.288912 treatment 0.217056 zip code 0.241075 access 0.208207 Vital Signs 0.275069 United States 0.242706 housing 0.21739 training 0.208261 HIV testing services 0.422268 HIV Care Saves 0.427938 virus 0.226632 Persons 0.207927 supportive services 0.282357 health departments 0.279255 health care 0.297652 public health 0.279486 MMWR 0.2079 health care systems 0.293685 Text 0.207867 people 0.384455 Morbidity 0.208873 Test patients 0.284667 partners 0.208044 HIV testing 0.532792	CLICK HERE
14054	Centers for Disease Control and Prevention	Html	en	Asthma Prevention and Management for Aboriginal People: Lessons From Mi'kmaq Communities, Unama'ki, Canada, 2012	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.	monthly asthma education 0.463324 community-wide asthma initiatives 0.440689 Mi’kmaq-specific asthma programs 0.458306 Aboriginal health inequities 0.425865 asthma camp 0.545574 professional asthma support 0.510082 specific asthma statistics 0.451491 professional participants 0.422667 asthma expertise 0.42751 community asthma incidence 0.48027 Health professional Non-Mi’kmaq 0.449402 asthma prevention 0.479467 health care professionals 0.539066 community asthma support 0.531526 Aboriginal peoples 0.478685 Mi’kmaq communities 0.505185 asthma 0.930516 Background Asthma 0.451394 Aboriginal communities 0.526208 asthma encounter 0.41839 culturally appropriate asthma 0.43428 community health 0.774244 asthma camp intervention 0.450716 annual asthma camp 0.449389 school-based asthma education 0.468072	asthma support strategies 0.572614 community members 0.43703 asthma support opportunity 0.481435 health promotion 0.453734 community-level asthma education 0.457488 asthma camps 0.451317 2-day asthma camp 0.448751 aboriginal health 0.433465 health care 0.640798 asthma awareness 0.456026 asthma support initiatives 0.485548 health 0.857001 community health care 0.425853 Aboriginal children 0.484711 asthma sufferers 0.42035 community health centers 0.614211 asthma programs 0.515846 asthma support 0.693627 asthma education 0.57033 focus group 0.440583 Health professional Mi’kmaq 0.438927 asthma symptoms 0.462571 health directors 0.449217 community-based asthma champion 0.443773	CLICK HERE
14364	Centers for Disease Control and Prevention	Html	en	Infection with Pathogens Transmitted Commonly Through Foodand the Effect of Increasing Use of Culture-Independent DiagnosticTests on Surveillance - Foodborne Diseases Active SurveillanceNetwork, 10 U.S. Sites, 2012-2015 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	Salmonella 0.307837 positive cidt reports 0.98864 Diagnostic testing practices 0.308708 Shiga toxin 0.391544 Escherichia coli 0.288743 STEC non-O157 infections 0.467417 Yersinia infections 0.283627 CIDT.† Positive CIDT 0.287722 U.S. Department 0.277391 enteric pathogens 0.275351 FoodNet 0.32234 infections 0.579105 positive cidt results 0.364934 public health surveillance 0.333011 STEC 0.518204 laboratory-confirmed infections 0.315997 serotype Typhimurium infections 0.313934 diagnostic testing 0.310588 culture-based methods 0.287739 enrichment broth 0.289479 non-O157 STEC infections 0.426179 incidence measurement 0.279524 Foodborne Diseases Active 0.308649 average incidence 0.306326 laboratory-confirmed parasitic infections 0.435042	health surveillance data 0.332349 clinical laboratories 0.301178 public health practice 0.437893 culture-independent diagnostic tests 0.318558 specimen collection 0.278483 STEC-positive CIDT reports 0.278638 Emerging Infections Program 0.304554 bacterial infections 0.380152 culture-independent diagnostic test 0.295164 FoodNet pathogens 0.27803 following incidence rates 0.298951 pathogens 0.328776 culture-confirmed infections 0.312906 STEC O157 incidence 0.375869 public health 0.621278 stool specimen 0.287645 Shiga toxin–positive reports 0.279641 HUS incidence 0.275913 bacterial pathogens 0.301627 CIDTs 0.313595 STEC O157 0.383912 Diseases Active Surveillance 0.306857 incidence 0.48037 public health laboratory 0.347646	CLICK HERE