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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1203	Centers for Disease Control and Prevention	Html	en	Announcements: Recommendation Regarding Promoting HealthEquity Through Full-Day Kindergarten - Community PreventiveServices Task Force	The Community Preventive Services Task Force recently posted new information on its website: "Promoting Health Equity Through Education Programs and Policies: Full-Day Kindergarten Programs." The information is available at http://www.thecommunityguide.	prevention experts 0.602 CDC 0.637687 endorsement 0.554396 Human Services 0.774423 Health Equity 0.617861 research 0.516048 U.S. Department 0.778889 MMWR HTML versions 0.671113 task force 0.910923 identification 0.515741 electronic PDF version 0.663574 review 0.515928 new information 0.611982 members 0.516474 Preventive 0.518846 population health 0.606597 Contact GPO 0.61505 Director 0.516448 commercial sources 0.597495 decision makers 0.59775 current prices 0.590413 original paper copy 0.661494 Full-Day Kindergarten Programs 0.717014 Internet 0.515514	wide range 0.600693 U.S. Government Printing 0.664758 policies 0.533589 Superintendent 0.518624 Education Programs 0.61443 MMWR readers 0.599243 character translation 0.59082 technical support 0.599168 MMWR paper copy 0.667507 public health 0.611578 format errors 0.594234 website 0.517886 approval 0.517478 typeset documents 0.597691 trade names 0.597591 Services Task Force 0.759439 official text 0.589249 http://www.thecommunityguide.org/healthequity/education/fulldaykindergarten.html 0.518592 non-CDC sites 0.595371 References 0.515545 organizations 0.515421 uncompensated panel 0.59893 electronic conversions 0.590277 printable versions 0.587057	CLICK HERE
1310	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Antismoking Mass Media Campaigns and Support for Smoke-Free Environments, Mobile County, Alabama, 2011"2012 - CDC	In 2011, the Mobile County Health Department began a 12-month antismoking educational media campaign to educate citizens on the dangers of secondhand smoke. The campaign overlapped with the Centers for Disease Control and Prevention’s 3-month national antismoking Tips from Former Smokers media campaign. We aimed to evaluate the effect of these campaigns on support for smoke-free environments and knowledge of the dangers of secondhand smoke.	radio advertisements 0.3525 dangers 0.441514 County Health Department 0.381326 Mobile County Health 0.386026 secondhand smoke 0.379675 Tips campaign advertisements 0.366018 postcampaign survey 0.372908 SHS 0.481216 M. Smoke-free São 0.408377 knowledge 0.380849 television advertisement 0.397763 media exposure 0.413853 educational media campaign 0.789771 Breathe radio advertisement 0.354819 antitobacco educational media 0.352824 educational media 0.871119 smoke-free protections 0.572073 smoke-free locations 0.429797 mass media campaigns 0.540151 educational mass media 0.467238 Breathe educational media 0.394414 support 0.466665 antismoking educational media 0.369919 new smoke-free protections 0.459733 Tips campaign 0.432841	logistic regression analyses 0.422872 Mobile County 0.585842 indoor public places 0.353861 smoke-free bars 0.61195 smoke-free workplaces 0.659753 Mobile County residents 0.367557 advertisements 0.397847 television advertisements 0.358997 smoke-free policies 0.489249 educational media campaigns 0.855414 Adult Tobacco Survey 0.435299 public health 0.46057 black respondents 0.376187 media campaigns 0.916218 Breathe campaign 0.391566 antismoking media campaign 0.3754 billboard advertisements 0.369336 smoke-free restaurants 0.43513 public indoor areas 0.360259 white respondents 0.376033 smoke-free environments 0.956994 protected smoke-free environments 0.474991 smoke-free air 0.384942 Smokers media campaign 0.384373	CLICK HERE
5424	Centers for Disease Control and Prevention	Html	en	Overview: Cigarette Health Warnings	null	right web address 0.987879 Español 0.403508 Language Assistance 0.712207 Português 0.391584 Kreyòl Ayisyen 0.700648 Instructions 0.282468 different file formats 0.919531 Tiếng Việt 0.70734 Deutsch 0.348548 help 0.283342	РуÑ?Ñ?кий 0.283258 Polski 0.39029 Tagalog 0.362008 options 0.298124 Français 0.385004 Downloading Viewers 0.795919 العربية 0.436655 information 0.283148 page 0.385868	CLICK HERE
6017	Centers for Disease Control and Prevention	Html	en	Trimethylamine - 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
7522	Centers for Disease Control and Prevention	Html	en	A Brief History of NCEH - 1980-1989 Highlights	NCEH provides leadership to promote health & quality of life by preventing or controlling those diseases or disabilities resulting from interaction between people and the environment. Site has information/education resources on a broad range of topics, including asthma, birth defects, radiation, sanitation, lead in blood, and more.	Orange Validation Study 0.767731 public health practitioners 0.73463 exposure assessment 0.72494 unexplained deaths 0.716212 human exposure 0.991117 Environmental Health Services 0.752894 elevated serum levels 0.71167 adipose dioxin levels 0.749915 Agent Orange Validation 0.739372 Conducts health study 0.747288 DDT exposure 0.735868 results 0.794217 blood lead measurements 0.721084 lethal chemical weapons 0.741635 serum levels 0.717801 health studies 0.713966 Diabetic Retinopathy Study 0.7155 National Environmental Health 0.931091 Priority Toxicant Reference 0.721789 Health Impact Surveillance 0.709738 vietnam veterans 0.839931 lead exposure 0.8264 Environmental Health Conference 0.928556 California State Department 0.746852 Health Services 0.755923	Toxicant Reference Range 0.724104 similar dioxin levels 0.744772 blood cholesterol levels 0.712932 Studies human exposure 0.789469 Vietnam Experience Study 0.778882 Reference Range Study 0.75032 excessive blood levels 0.726657 adverse health effects 0.709759 background exposure 0.722912 International Clearinghouse study 0.716349 U.S. Vietnam veterans 0.751157 public health 0.830316 excessive exposure 0.727659 study results 0.710998 birth defects 0.797819 serum dioxin levels 0.819416 mercury exposure 0.723705 Chronic Disease Prevention 0.724514 injury control 0.73569 Public Health Service 0.719061 high exposure 0.716227 federal public health 0.744331 persistent health effects 0.716315 Agent Orange 0.754308	CLICK HERE
8351	Centers for Disease Control and Prevention	Html	en	STDs and Travel | CDC Features	Travelers who have casual sex are at risk for sexually transmitted diseases. Prevent STDs when you travel overseas.	Infectious Diseases. 0.405285 prostitution 0.325135 casual sex 0.729722 inhibition-lowering effects 0.429334 sexual history 0.410869 recreational drugs 0.422661 alcohol 0.343459 vagina 0.324838 oral sex 0.508289 recent international travel 0.484047 anus 0.326854 Unexplained rash 0.4179 countries 0.33921 excitement 0.326194 travelers 0.381813 symptoms 0.357858 sexually transmitted diseases 0.916469 honest conversation 0.412215 quality standards 0.416442 Prevent STDs 0.605974 new partner 0.426687 latex condom 0.421629 International Journal 0.40363 appropriate STD test 0.582857 unprotected sex 0.435246	lesion 0.326257 yellow color 0.40474 condoms 0.325301 United States 0.416834 gonorrhea 0.330831 Hunter PR 0.403332 long-term complications 0.406997 possible signs 0.406669 commercial sex workers 0.528878 sexually transmitted infections 0.549171 herpes 0.323522 hepatitis B vaccines 0.423559 reliable way 0.418183 penis 0.323111 foreign country.1 0.426431 Jaundice 0.324869 Abubakar 0.329869 Foreign travel 0.402869 meta-analysis 0.324423 systematic review 0.406425 people 0.343938 doctor 0.370033 STDs 0.751404 risk 0.3461	CLICK HERE
11123	Centers for Disease Control and Prevention	Html	en	2008 National Report on Biochemical Indicators of Diet and Nutrition - Trace Elements: Iodine	null	adequate iodine intake 0.405257 United States 0.411279 urinary iodine concentration 0.455212 median concentrations 0.215237 iodine deficiency 0.508164 plasma mass spectrometry 0.209278 urinary iodine 0.978281 pregnant women 0.235045 adequate iodine nutrition 0.370679 iodine supplementation 0.369336 median urinary iodine 0.72422 iodine intake 0.617466 dietary iodine intake 0.41905 iodine excretion data 0.349317 Nutrition Examination Survey 0.250057 iodine level 0.312266	iodine residue 0.338817 urinary iodine concentrations 0.795327 iodine excretion 0.431523 iodine deficiency disorders 0.448633 World Health Organization 0.565467 urine iodine excretion 0.378214 iodine nutrition 0.459882 U.S. iodine intake 0.395704 urinary iodine excretion 0.429561 National Health 0.204807 Excess iodine intake 0.412074 percent confidence intervals 0.261122 Public Health Committee 0.288103 American Thyroid Association 0.351048 High iodine intake 0.412678 stable iodine intake 0.403349	CLICK HERE
12100	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Association Between Asthma andObesity Among Immigrant Asian Americans, California HealthInterview Survey, 2001-2011 - CDC	Our objective was to study the comorbidity of asthma and obesity among foreign-born Asian Americans, by subgroups. Public data from the California Health Interview Survey, 2001–2011, were analyzed by using independent logistic regressions, yielding the association between asthma and obesity (Asian and standard cutoffs for body mass index [BMIs]) of 19,841 Asian American immigrant respondents. Chinese, Filipino, South Asian, and Japanese immigrants had a positive association between lifetime asthma and obesity, whereas among Korean immigrants, a positive association was found between lifetime asthma and overweight status (standard BMI cutoffs). Routine screening for this comorbidity is warranted among immigrant Asian Americans.	Vietnamese immigrant population 0.405665 regression analyses 0.385851 South Asians 0.549684 publically available data 0.390565 asthma literacy 0.409652 overall asthma prevalence 0.46979 American immigrant subgroup 0.486865 lifetime asthma 0.502406 South Asian subgroup 0.449787 smoking status 0.390577 Asian ethnic group 0.433218 obesity 0.461679 control variables 0.442777 San Bernardino 0.42373 World Health Organization 0.394319 lifetime prevalence 0.547313 Asian BMI cutoffs 0.587013 body mass index 0.484512 American immigrant respondents 0.463525 asthma 0.629151 Health Interview Survey 0.559389 annual population estimate 0.390621 Asian American subgroup 0.444492 BMI categorization 0.409954 Asian American population 0.427549	asthma–obesity nexus 0.437919 prevalence level 0.382012 positive association 0.388471 Asian Americans 0.755978 overweight status 0.510981 American immigrant subgroups 0.432465 low underweight sample 0.39081 California State University 0.516753 study 0.384459 California Health Interview 0.558105 American immigrant population 0.475553 Asian American subgroups 0.579807 medical insurance status 0.465734 marital status 0.393304 independent logistic regressions 0.395772 English language proficiency 0.467542 Asian subgroups 0.40715 Asian languages 0.38951 standard BMI cutoffs 0.983338 standard cutoffs 0.422642 public health efforts 0.448262 CHIS-provided BMI 0.412879 immigrant Asian Americans 0.538921 Asian American immigrants 0.503481	CLICK HERE
12209	Centers for Disease Control and Prevention	Html	en	Update: Influenza Activity - United States, September28-December 6, 2014	Melissa Rolfes, PhD1, Lenee Blanton, MPH1, Lynnette Brammer, MPH1, Sophie Smith, MPH1, Desiree Mustaquim, MPH1, Craig Steffens, MPH1, Jessica Cohen, MPH1, Michelle Leon, MPH1, Sandra S. Chaves, MD1, Anwar Isa Abd Elal1, Larisa Gubareva, PhD1, Henrietta Hall1, Teresa Wallis, MS1, Julie Villanueva, PhD1, Xiyan Xu, MD1, Joseph Bresee, MD1, Nancy Cox, PhD1, Lyn Finelli, DrPH1 (Author affiliations at end of text).	influenza 0.951713 influenza hospitalization surveillance 0.730557 CDC influenza surveillance 0.631643 influenza complications§§§ 0.532284 United States 0.562034 substantial influenza activity 0.574107 novel influenza 0.536666 quadrivalent influenza vaccine 0.588269 influenza A viruses 0.635085 influenza outbreaks 0.530118 clinician-ordered influenza testing 0.546095 Hemisphere influenza vaccine 0.668636 Surveillance Network 0.437834 influenza B component 0.567857 live attenuated influenza 0.558211 influenza antiviral medications 0.558282 influenza B viruses 0.775458 high ILI activity 0.420619 influenza A vaccine 0.569814 ILI activity level 0.419734 Cities Mortality Reporting 0.475459 laboratory-confirmed influenza 0.593616 influenza A virus 0.578901 laboratory-confirmed influenza case 0.553268	Southern Hemisphere influenza 0.583811 Influenza surveillance reports 0.564943 influenza vaccine 0.72392 influenza season 0.677982 influenza activity 0.710945 influenza surveillance systems 0.579061 influenza A subtype 0.54497 quadrivalent influenza vaccines 0.578697 U.S. influenza activity* 0.606771 Hospitalization Surveillance Network 0.435437 Enteric Virus Surveillance 0.446605 Northern Hemisphere influenza 0.665856 influenza vaccination 0.537349 Sporadic influenza activity 0.585056 recent influenza 0.524031 influenza virus circulation 0.550332 traditional influenza seasons 0.56265 ILI activity 0.535721 inactivated influenza vaccine 0.566106 influenza viruses 0.790115 influenza B virus 0.596417 influenza virus 0.568174 influenza B coinfections 0.545497	CLICK HERE
13183	Centers for Disease Control and Prevention	Html	en	Guinea Worm Disease - Frequently AskedQuestions	Frequently asked questions (FAQs) about Dracunculiasis, also known as Guinea Worm Disease.	health care provider 0.392876 safe water 0.336985 tropical disease 0.282139 immature forms 0.277379 Yes. The disease 0.271242 remote parts 0.271545 local Guinea worm 0.454976 Guinea worm 0.964024 World Health Organization 0.318458 global health officials 0.337678 South Sudan 0.334521 international agencies 0.270588 countries 0.271095 poor communities 0.271785 new safe sources 0.313524 Antibiotic ointment 0.265519 active Guinea worm 0.448737 water sources 0.365292 adult female worm 0.541035 local GWD cases 0.499536 body cavity 0.268695 secondary bacterial infection 0.318225 stagnant water 0.345658 blister forms 0.265742 African countries 0.266059	Adult female worms 0.312623 remote rural communities 0.319268 infected people 0.275491 Guinea worm larvae 0.720659 drinking water 0.438632 digestive track 0.26814 safe water sources 0.33158 female larvae 0.305256 pain 0.270933 water fleas 0.448501 painful burning 0.268701 water supply 0.288121 secondary bacterial infections 0.308377 people 0.295816 infected person 0.272271 milky white liquid 0.320283 Public Health Service 0.315532 immature larvae 0.303853 full-size adults 0.268083 GWD transmission 0.338971 parasite Dracunculus medinensis 0.342324 spaghetti noodle 0.268631 Guinea worm disease 0.879853 unsafe drinking water 0.337779	CLICK HERE