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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5274	Centers for Disease Control and Prevention	Html	en	CDC Study Finds Suicide Rates Rise and Fall with Economy Press Release: April 14, 2011	CDC Study Finds Suicide Rates Rise and Fall with Economy	suicide rate rises 0.698649 community connectedness 0.332031 suicide rates 0.741239 community services 0.335667 lowest point 0.340179 Disease Control 0.349229 Feijun Luo 0.333008 prevention services 0.362486 strongest association 0.34838 economic recessions 0.399364 support services 0.335064 social support 0.329204 prevention programs 0.347958 social integration 0.328547 Violence Prevention 0.464938 American Journal 0.348978 overall suicide rate 0.952957 age-specific suicide rates 0.697196 low unemployment 0.335077 fast growth 0.333873 HUMAN SERVICES 0.333506 entire communities 0.438198 Economic problems 0.331701 Double-Dip Recession 0.342703	Public Health 0.355837 Economic downturns 0.330662 prime working ages 0.462887 important finding 0.336833 New Deal 0.329032 Great Depression 0.520929 study findings 0.350871 oldest middle-age group 0.449291 longest expansion period 0.441064 U.S. Suicide Rates 0.689549 suicide visit Reporting 0.599718 —a record increase 0.447197 Oil Crisis 0.329377 additional suicide prevention 0.687971 Prevention study 0.401277 evidence-based prevention interventions 0.450368 James Mercy 0.333664 business cycles 0.600074 social contact 0.328266 adverse health consequences 0.417335 WWII period 0.332538 policy makers 0.336763 largest increase 0.327329 Prevention strategies 0.354876	CLICK HERE
5795	Centers for Disease Control and Prevention	Html	en	Benzyl chloride - 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
6283	Centers for Disease Control and Prevention	Html	en	MMWR News Summary: September 22, 2011	MMWR News Summary: September 22, 2011	pertussis transmission 0.606964 rural Alaska Native 0.991864 National Institute 0.549985 times more cavities 0.591477 acute illness 0.542163 Td booster.  Persons 0.641636 box springs 0.54142 fluoride varnishes 0.546098 one-time dose 0.539846 nonchemical methods 0.552841 U.S. children 0.547132 bacterial vaccine-preventable disease 0.648452 Alaska Native children 0.6682 effective insecticides 0.575351 bed bugs 0.832447 Tdap vaccine.  BOOSTRIX 0.637362 Fred Blosser 0.573187 ineffective notification 0.555838 bed bug–related issues 0.671709 CDC Division 0.84869 water fluoridation 0.630308 health effects 0.554635 certified applicators 0.549608 United States.  Pertussis 0.724479	federally funded pesticide 0.67714 gastrointestinal effects. 0.545627 additional preventive services 0.648953 change pesticide-treated bedding 0.661585 dental cavities 0.760232 illness surveillance program 0.662491 relatively inexpensive method 0.649133 excessive insecticide application 0.675004 bed bug infestation 0.669305 Electronic Media 0.823339 Occupational Safety 0.543269 fluoridated water 0.54191 public health burden 0.679677 frequent soda-pop consumption 0.660022 pesticide application. 0.552889 Alaska Native villages 0.685274 private residences 0.545308 preventive measures 0.541606 media campaigns 0.541534 in-home water 0.539435 dental cavities severity 0.716888 Native villages.  Children 0.663735 dental health 0.549271 pertussis exposure 0.612933	CLICK HERE
7755	Centers for Disease Control and Prevention	Html	en	Mumps Outbreak on a University Campus - California,2011	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.	congregate housing 0.503349 MMR vaccination 0.767393 public health authorities 0.772197 mumps vaccination clinic 0.679298 mumps patients 0.620455 clinically suspected mumps 0.615659 mumps vaccination status 0.626172 mumps IgM 0.595805 prematriculation MMR vaccination 0.59952 acute mumps 0.594555 mumps virus 0.57581 student medical records 0.57497 student health services 0.663675 public health officials 0.522393 Jonathan J. Nunez 0.490966 previous mumps outbreaks 0.668723 Western Europe 0.526363 2-dose MMR vaccination 0.554875 University Health Svcs 0.490146 mumps infections 0.576952 public health review 0.492268 time public health 0.495105 mumps vaccine 0.654364 U.S. mumps cases 0.61673	mumps 0.93442 mumps incidence 0.573726 doses 0.500142 mumps outbreaks 0.725771 health staff member 0.518957 university 0.528185 public health staff 0.527196 students 0.503473 local health department 0.677018 mumps serological testing 0.631177 epidemiologic links 0.501642 source patient 0.625465 local health departments 0.517879 public health 0.903055 large mumps outbreaks 0.625096 Mumps serologies 0.598805 mumps symptoms 0.63883 mumps cases 0.708738 MMR vaccination rates 0.559886 previous MMR vaccination 0.564032 MMR vaccination requirement 0.547225 control measures 0.524212 mumps illnesses 0.611534 predominant mumps 0.591751	CLICK HERE
7827	Centers for Disease Control and Prevention	Html	en	Latex Allergy - Health Communication	Latex Allergy - Gateway to Health Communication - CDC	allergy-causing latex proteins 0.699473 health care industry 0.711666 everyday products 0.489743 runny nose 0.508461 substantial lifestyle changes 0.567045 productive lives 0.5006 sneezing spells 0.49491 food service industry 0.555184 problem 0.429757 latex gloves 0.824423 work force 0.4892 latex products 0.648516 affected person 0.486667 infectious materials 0.566391 skin testing 0.481721 natural latex 0.650183 powder-free gloves 0.525436 family life 0.483749 standardized methods 0.48472 rare cases 0.500388 little chance 0.485081 appropriate protection 0.484062 severe latex allergy 0.746097 children’s toys 0.492898 food service workers 0.577896	latex exposure 0.632518 non-latex gloves 0.533047 scratchy throat 0.506336 general population 0.485995 latex asthma 0.641822 emergency room nurse 0.544868 natural rubber latex 0.761229 FDA-approved materials 0.486846 itchy eyes 0.501644 certain proteins 0.49957 overall statistics 0.487007 clinical symptoms 0.483201 true allergy 0.543261 hospital workers 0.501831 health care workers 0.577945 additional allergy tests 0.61086 skin redness 0.499237 allergic reaction 0.491201 hard work 0.49497 latex allergy 0.941033 people 0.432971 allergic reactions 0.505342 potentially serious health 0.495151 risk 0.443018	CLICK HERE
8740	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Feasibility and Acceptabilityof Internet Grocery Service in an Urban Food Desert, Chicago,2011-2012 - CDC	We explored the feasibility and acceptability of an Internet grocery service (IGS) as an approach to improving food access in urban neighborhoods.	IGS expenditures 0.757113 home Internet 0.675256 caloric beverages 0.807937 total pre-tax food 0.677674 IGS food purchases 0.868207 new supermarket development 0.623563 caloric nondairy beverages 0.652476 commercial IGS 0.782683 food desert households 0.663717 Rush University Medical 0.702397 IGS food 0.887232 IGS voucher 0.753587 field test 0.620605 competitive prices 0.621199 supplemental food sources 0.686583 delivery time window 0.619206 Internet grocery service 0.63337 IGS feasibility 0.742881 urban food desert 0.704047 well-implemented IGS 0.743028 University Medical Center 0.79105 urban food access 0.953454 urban food deserts 0.671335 food prices 0.618011 food stamps 0.618321	discretionary caloric beverages 0.671752 Gittelsohn J. Access 0.616583 local food environment 0.651797 Public Health 0.649129 feasibility pilot study 0.652316 new food source 0.662498 potential transportation barriers 0.619841 new supermarket construction 0.620308 Food Assistance Program 0.673545 IGS acceptability 0.794682 marital status 0.617096 Chicago food desert 0.790313 participants 0.662264 food purchasing patterns 0.79354 future IGS 0.898052 delivery fees 0.627509 home Internet service 0.620725 pre-tax food expenditures 0.778209 home Internet access 0.650866 delivers healthful foods 0.619897 household income 0.612022 Public Health Service 0.613259 IGS programs 0.82602 household food purchases 0.682576	CLICK HERE
10730	Centers for Disease Control and Prevention	Html	en	EMF (Electric and Magnetic Fields) - NIOSH Workplace Safety and Health Topic	NIOSH research on protecting workers from proven and possible EMF health risks	Federal Communications Commission 0.428298 EMF RAPID program 0.418095 elf electromagnetic fields 0.558721 Radiation Protection Board 0.449448 Mobile Phones 0.509656 NIOSH studies 0.433343 Magnetic Field Exposures 0.517545 health standards 0.399536 NRPB Documents Volume 0.411585 EMF health risks 0.570771 National Radiation Protection 0.452668 ELF-EMF health risks 0.415899 ELF radiation 0.403116 EMF 0.578521 NIOSH research 0.411303 NIOSH Fact Sheet 0.406914 magnetic fields 0.616847 World Health Organization 0.463961 Measuring Occupational Electric 0.448659 potential health risks 0.500608 highly-respected international program 0.443974 electromagnetic fields 0.559363 possible health effects 0.473351 health effects 0.6674	EMF Measurement Database 0.407871 Health Protection Agency 0.468929 cell phones health 0.450963 National Toxicology Program 0.433942 EMF exposure limits 0.422197 California EMF Program 0.536383 Environmental Health Sciences 0.46116 EMF emissions 0.432788 NIOSH Publication No. 0.820616 Radiofrequency Electromagnetic Fields 0.467073 International EMF Project 0.412328 ELF magnetic fields 0.413021 possible health risks 0.563263 ELF EMF 0.546097 potential harmful effects 0.428366 video display terminals 0.963572 cell phones 0.734048 Radio Frequency Safety 0.429503 occupational exposures 0.403068 occupational ELF-EMF exposures 0.408959 EMF exposures 0.444587 health risks 0.69677 extremely low frequency 0.667527 animal cancer assay 0.432295	CLICK HERE
12108	Centers for Disease Control and Prevention	Html	en	Lung Cancer Rates by State	Lung cancer statistics from CDC: incidence and mortality by state in the United States.	U.S. standard population 0.640663 Mortality Web-based Report 0.658933 United States 0.743681 USCS publication criteria 0.414738 Human Services 0.403489 States Cancer Statistics 0.563005 Statistics Working Group 0.627154 incidence data 0.341954 Incidence Rates* 0.323692	Cancer Statistics Working 0.590522 lung cancer 0.930019 United States Cancer 0.563214 lung cancer rates 0.551538 Disease Control 0.402798 National Cancer Institute 0.608327 lung cancer incidence 0.590302 U.S. Cancer Statistics 0.571619 Bronchus Cancer 0.378345	CLICK HERE
13679	Centers for Disease Control and Prevention	Html	en	Sick Days | Managing | Diabetes	cdc, diabetes, sick days, sick, advice, resources, guidance, what to do, eat, managing	yogurt 0.339094 medicines 0.385348 fact 0.330656 urine 0.338215 health care provider 0.805551 ounces 0.341569 food choices 0.4637 box 0.332864 emergency room 0.459487 recovery 0.337085 ketones 0.34562 carbohydrate 0.336654 sweet beverages 0.462318 ice cream 0.473685 ways 0.332784 good written records 0.594246 things 0.372691 Good choices 0.485421 dehydration 0.340428	pitcher 0.336687 grams 0.338831 energy 0.33386 hand 0.333297 fluids 0.332804 portions 0.331445 family members 0.481828 easy-to-fix foods 0.472107 milk 0.331019 plenty 0.33221 blood sugar levels 0.657975 friends 0.332857 blood glucose monitoring 0.634129 toast 0.338409 diabetes medicine 0.467987 medical team 0.647885 blood sugar 0.919268 non-caloric drink 0.515106	CLICK HERE
15418	Centers for Disease Control and Prevention	Html	en	Leveling of Tuberculosis Incidence - United States,2013-2015 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	annual TB surveillance 0.430014 latent TB infection 0.586186 foreign-born persons 0.53682 additional TB cases 0.440814 overall national tb 0.495248 tb prevention 0.434561 unrounded incidence 0.267233 annual TB incidence 0.509427 TB surveillance report 0.429863 active TB disease 0.418088 lowest incidence 0.275709 Native Hawaiians/other Pacific 0.328812 provisional national tuberculosis 0.281013 non-Hispanic persons 0.270083 untreated latent TB 0.417031 foreign-born population 0.274053 TB patients 0.40787 final TB case 0.411208 West South Central 0.279881 TB incidence 0.92999 Hawaiians/other Pacific Islanders 0.32876 U.S. foreign-born persons 0.295381 infectious TB 0.398621 TB case 0.521886	National Tuberculosis Surveillance 0.3976 U.S.-born persons 0.362383 total U.S. cases 0.273507 United States 0.680295 higher TB incidence 0.470731 incident TB 0.442944 100,000 0.31768 TB elimination 0.485206 TB disease 0.440435 TB transmission 0.523338 highest case count 0.282461 State-specific incidence 0.278405 TB resurgence 0.403718 verified TB cases 0.487286 American Indians/Alaska Natives 0.328916 median state incidence 0.29886 national TB incidence 0.548965 TB cases 0.745286 ongoing TB transmission 0.408057 Year-to-year TB incidence 0.463112 U.S. TB cases 0.441774 highest TB incidence 0.492277 TB outbreaks 0.400288 highest incidence 0.295788	CLICK HERE