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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5529	Centers for Disease Control and Prevention	Html	en	Oxygen difluoride - 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
6599	Centers for Disease Control and Prevention	Html	en	Antismoking media campaign and smoking cessation outcomes, New York State, 2003-2009.	The objective of this study was to examine whether exposure to the New York Tobacco Control Program's statewide antismoking media campaign corresponded to smoking outcomes.	New York BRFSS 0.324665 new york adult 0.622046 New York Behavioral 0.355892 York State Department 0.352534 Risk Factor Surveillance 0.322215 National Health Interview 0.334707 media campaign 0.439476 tobacco control programs 0.41822 new york smokers 0.380749 national smoking prevention 0.28868 NY TCP advertisements 0.294684 York Adult Tobacco 0.512575 New York State 0.57924 media campaign advertisements 0.285837 York adult smokers 0.377818 Health Interview Survey 0.337494 Control Program advertisement 0.351692 York Tobacco Control 0.451323 Media Campaign Resource 0.303904 mass media campaigns 0.31009 health communication 0.301486 TCP media campaign 0.293043 statewide tobacco control 0.307374 Behavioral Risk Factor 0.322306 York Behavioral Risk 0.338769	smoking prevalence 0.480018 New York Tobacco 0.457642 New York adults 0.353946 United States 0.329011 current smoking prevalence 0.316656 New York residents 0.29559 advertisements 0.310994 adult smoking prevalence 0.365192 Adult Tobacco Survey 0.509216 cigarette consumption 0.333832 public health 0.325762 early tobacco control 0.286414 New York 0.962597 Farrelly MC 0.396959 NY TCP 0.795727 adult smokers 0.39348 past-year quit attempts 0.292054 state tobacco control 0.315493 antismoking media campaign 0.353073 health 0.354779 tobacco control program 0.571079 NY TCP advertising 0.322084 York State Smokers 0.298307 Campaign Resource Center 0.294279	CLICK HERE
7894	Centers for Disease Control and Prevention	Html	en	Early Warning Disease Surveillance After a Flood Emergency -Pakistan, 2010	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.	DEWS 0.881444 disease reporting 0.632682 acute paralytic illness 0.631383 patient visits 0.693226 outbreak alerts 0.768406 Pakistan National Institute 0.68969 surveillance staff members 0.660104 outbreak investigation 0.628367 appropriate case management 0.807697 national public health 0.638625 case definitions 0.701902 World Health Organization 0.934907 health facilities 0.69581 district health officers 0.619306 hemorrhagic fever syndrome 0.674847 Daily disease counts 0.629247 warning disease surveillance 0.766674 acute hemorrhagic fever 0.732848 data quality 0.708297 acute meningitis 0.638595 laboratory confirmation 0.629464 specimen collection 0.620702 early warning disease 0.768884 DEWS implementation mirror 0.712982 early outbreak detection 0.644755	acute watery diarrhea 0.929161 DEWS implementation 0.72528 acute respiratory infection 0.964639 disease outbreak alerts 0.649615 acute jaundice syndrome 0.71043 acute diarrhea 0.855618 outbreak detection systems 0.634409 bacterial meningitis 0.64842 acute onset 0.621441 public health 0.68857 skin diseases 0.686754 DEWS forms 0.678243 standardized DEWS case 0.749141 disease surveillance systems 0.652911 staff members 0.682182 primary objective 0.625651 bloody diarrhea 0.688782 acute flaccid paralysis 0.799512 Reinforce appropriate case 0.809949 EWARN systems 0.622727 standardized case definitions 0.685193 unexplained fever 0.685383 outbreak detection 0.75316 health importance.* Information 0.624829	CLICK HERE
8021	Centers for Disease Control and Prevention	Html	en	TB/HIV Care Association	null	TB/HIV integration 0.481021 CDC 0.338286 endorsement 0.320364 comprehensive HIV 0.580722 Cape Town 0.394824 HIV issues 0.523301 Tambo districts 0.400819 West Coast 0.392337 visit www.tbhivcare.org 0.389152 Eastern Cape 0.471594 TB Care program 0.630698 HIV prevention programs 0.585122 PEPFAR grant 0.396435 TB management 0.569362 Project Integrate 0.401063 structural interventions 0.418879 South Africans 0.407282 work 0.33111 KwaZulu-Natal province 0.406568 TB rates 0.522859 TB prevention 0.518595 zeros 0.321246 community-based adherence support 0.520472 Western Cape 0.39462 Alfred Nzo 0.390701	biomedical interventions 0.417039 treatment 0.332479 challenges 0.335543 five-year cooperative agreement 0.481136 overall decrease 0.402254 HHS 0.321981 sexually transmitted infections 0.500416 African National Strategic 0.471919 HIV diagnosis 0.544218 morbidity 0.322419 rural district 0.392707 Provincial Departments 0.389893 TB/HIV Care Association 0.923132 reproductive age group 0.462649 behavioral interventions 0.417001 HIV clients 0.522047 non-profit organization 0.412544 clinical response 0.400563 HIV counseling 0.497892 non-federal site 0.398102 untreated TB 0.570617 highest HIV 0.502522 South African provinces 0.469745 information 0.326776	CLICK HERE
9196	Centers for Disease Control and Prevention	Html	en	Global Networks Make Food Safer | CDC Features	Foodborne diseases are preventable, yet common causes of illness, disability, and death worldwide. Find out how CDC and global partners are equipping countries with tools and training to make food safer.	foodborne diseases 0.92594 PulseNet International 0.47398 Global Disease Detection 0.547936 essential step 0.469409 safe food-handling guidelines 0.537166 complex options 0.472025 Chinese Ministry 0.475401 Disease scientists 0.481211 foodborne illnesses 0.618709 CDC laboratory scientists 0.550318 street vendors 0.468793 foodborne disease outbreaks 0.801511 Acute Diarrheal Diseases 0.563476 U.S. best practices 0.538666 PulseNet China 0.480045 greatest risk 0.470505 sick people 0.474867 better discovery 0.472739 cooking areas 0.473229 countries 0.495285 single recipe 0.479171 global partners 0.488847 share findings 0.476184 diarrheal diseases 0.565847 Environmental Diseases 0.492673	new foodborne diseases 0.672002 Global Health Unit 0.547492 Food safety 0.495381 disease-causing germs 0.495673 complex process 0.481202 tainted food 0.489428 laboratory scientists 0.598716 United States 0.472174 international activities 0.47847 food choices 0.485614 laboratory tools 0.476601 death worldwide 0.487996 China 0.480227 consumers 0.449395 public health 0.553013 basic public health 0.552383 public health workers 0.541603 Chinese microbiologists 0.476257 key role 0.47509 DNA fingerprints 0.474123 foodborne disease detection 0.672419 foodborne disease 0.870636 lab detection yields 0.534732 laboratory skills 0.475088	CLICK HERE
9590	Centers for Disease Control and Prevention	Html	en	Settings of Norovirus Outbreaks, Figure 2 | CDC Features	Noroviruses spread by having contact with infected people, consuming contaminated food or water, and touching contaminated objects or surfaces. Outbreaks occur often and can happen to people of all ages in a variety of settings.	refers 0.407898 restaurant 0.370393 single exposure 0.665558 banquet facility 0.642522	health care facility 0.912182 day-care facility 0.679255 foodborne outbreaks 0.814227 private residence 0.675838	CLICK HERE
10792	Centers for Disease Control and Prevention	Html	en	World Health Organization report on antibiotic resistance | Media Statement | CDC Online Newsroom	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	particular eye 0.480275 global health efforts 0.576662 CDC 0.526386 global response 0.502954 lab network 0.483773 drug-resistant microbes 0.527061 resistant-bacteria bank 0.483028 good antibiotic-prescribing practices 0.54551 young children 0.482641 life threatening 0.482226 antibiotic adverse-event study 0.681583 World Health Organization 0.607493 jet speed 0.48724 resistance problems 0.542715 resistant bacteria 0.481045 antibiotic prescribing 0.60619 worldwide antibiotic resistance 0.803209 drug-resistant pathogens 0.536644 routine surgeries 0.482476 little time 0.490508 major threat 0.4901 antibiotic treatments 0.633777 health care facilities 0.563638 long-term health consequences 0.564397 antimicrobial-resistance prevention groups 0.549227	Budget proposal 0.481861 international communication 0.486672 critical problem 0.488855 drug resistance 0.535419 global health security 0.71244 Health Security Agenda 0.575808 Target antibiotic-resistant threats 0.564841 Antibiotic Threats 0.664246 Specific actions 0.484616 continental boundaries 0.488415 United States 0.571442 national trends 0.478167 common infections 0.577607 resistance threats 0.554668 antibiotic resistance 0.96466 High rates 0.497726 new treatments 0.482934 Antibiotic Resistance Initiative 0.74114 antibiotic stewardship 0.603473 World Health Assembly 0.584828 new public website 0.551594 new diagnostic tests 0.552586 drug-resistant foodborne Salmonella 0.591439 best practices 0.480398	CLICK HERE
12379	Centers for Disease Control and Prevention	Image	null	Motor Vehicle Crash Injuries (1175W x 347H)	null			CLICK HERE
13875	Centers for Disease Control and Prevention	Html	en	Physical Activity for Everyone: Measuring Intensity: Perceived Exertion | DNPAO | CDC	The Borg Rating of Perceived Exertion (RPE) is a way of measuring physical activity intensity level. Learn more...	preferred method 0.217141 actual physical load 0.304812 physical sensations 0.239082 physical stress 0.212229 extremely strenuous exercise 0.324053 physical condition 0.218159 person experiences 0.253531 total feeling 0.222449 exertion rating 0.608953 actual heart rate 0.800894 Borg Rating 0.396405 rating scale 0.207522 exertion ratings 0.453765 muscle fatigue 0.355592 Perceived Exertion 0.597168 exertion rating times 0.530243 maximal exertion 0.418881 heart rate 0.903571	physical activity intensity 0.388766 moderate-intensity range 0.211372 leg pain 0.211583 breathing rate 0.266236 Borg Scale level 0.391134 subjective measure 0.2342 exertion 0.866029 Gunnar Borg 0.28642 moderate-intensity activity 0.219452 good idea 0.204357 physical activity 0.632543 fairly good estimate 0.553499 intensity 0.395454 *A high correlation 0.319618 Borg Scale 0.689157 person 0.385252 intensity level 0.353269 healthy person 0.321784	CLICK HERE
15574	Centers for Disease Control and Prevention	Html	en	2011-2012 Flu Season Draws to a Close	2011-2012 Flu Season Draws to a Close - CDC	influenza 0.938766 flu outbreaks 0.507958 CDC’s Bresee 0.505793 vaccine receipt 0.518308 United States 0.701989 influenza vaccination coverage 0.590596 interactive web application 0.491456 U.S. Influenza Activity 0.623884 ILI 0.622139 key flu indicators 0.547894 high percentages 0.494153 flu vaccine 0.709175 influenza outbreaks 0.55309 different flu viruses 0.56825 ILI Weekly National 0.557225 percent positive tests 0.501988 Dr. Bresee 0.495034 CDC’s Influenza 0.580051 H1N1 pandemic season 0.528707 percent positive specimens 0.504046 influenza surveillance report 0.620295 high flu activity 0.554354 flu-related pediatric deaths 0.512396	season 0.836891 influenza illness 0.570992 respiratory specimens 0.54586 laboratory-confirmed influenza 0.540814 influenza vaccine 0.688961 influenza season 0.564773 influenza activity 0.640799 vaccine match 0.525485 seasonal flu vaccine 0.609307 host factors 0.491172 flu viruses 0.571361 Bresee 0.556632 vaccine effects 0.525123 influenza vaccination 0.637539 Dr. Joseph Bresee 0.540476 vaccine 0.725241 influenza vaccine effectiveness 0.644269 influenza viruses 0.658074 annual influenza vaccination 0.579575 pediatric deaths 0.637387 influenza virus 0.546234 flu season 0.60578 2011-2012 season 0.684327	CLICK HERE