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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
796	Centers for Disease Control and Prevention	Html	en	MMWR - Errata: Vol. 62, No. 47 - January 03, 2014	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.	mmwrq@cdc.gov. 0.588621 endorsement 0.473677 Human Services 0.683618 assistive technology 0.596805 section 0.450059 high BLLs 0.812883 Adult Blood Lead 0.705152 MMWR HTML versions 0.687956 U.S. Department 0.677739 electronic PDF version 0.678681 e-mail 0.462321 row header 0.571866 sentence 0.628063 summary box text 0.70421 Contact GPO 0.587066 commercial sources 0.563203 grave concern 0.557317 high BLL 0.7403 current prices 0.556017 Surveillance program 0.562376 public health practice 0.704918 original paper copy 0.671283 page 0.489499 paragraph 0.506484	United States 0.580314 original MMWR paper 0.682339 U.S. Government Printing 0.678715 adults 0.550602 Blood Lead 0.740581 MMWR readers 0.565424 character translation 0.555128 file 0.43201 Persons 0.432103 format errors 0.56628 harmful BLLs 0.588037 Total no. 0.571125 calendar 0.558135 subject line 0.58191 Blood Lead Levels 0.727213 typeset documents 0.561729 trade names 0.563312 Persistent 0.485406 official text 0.551477 non-CDC sites 0.559661 report 0.483196 BLLs т‰Ѕ60 ТЕg/dL 0.927833 information 0.43203 electronic conversions 0.551216	CLICK HERE
1297	Centers for Disease Control and Prevention	Html	en	National, State, and Selected Local Area VaccinationCoverage Among Children Aged 19-35 Months - United States,2013	Laurie D. Elam-Evans, PhD1, David Yankey, MS1, James A. Singleton, PhD1, Maureen Kolasa, MPH1 (Author affiliations at end of text).	vaccination coverage 0.95297 MMR dose 0.400766 HepB doses 0.390847 children 0.696069 state health departments 0.353249 pneumococcal conjugate vaccine 0.367017 PCV doses 0.416974 varicella vaccine 0.396183 poverty level 0.594138 catch-up doses 0.337097 lower vaccination coverage 0.357687 dose 0.605632 booster dose 0.355195 pertussis vaccine 0.342303 high vaccination coverage 0.379202 DTaP doses 0.423315 poliovirus vaccine 0.388669 doses 0.777671 varicella doses 0.347203 United States 0.392515 vaccines 0.357848 rotavirus vaccine 0.360055 varicella dose 0.326375 product type 0.346851 percentage points 0.574865	rubella vaccine 0.328723 HepA dose coverage 0.352477 white children 0.354498 combined vaccine series 0.348686 MMR vaccination coverage 0.358348 health departments 0.386097 national vaccination coverage 0.377877 area vaccination coverage 0.361993 Healthy People 0.423519 local health departments 0.35349 booster doses 0.390063 National Immunization Survey 0.368191 Hib 0.34594 dose coverage levels 0.341848 adequate vaccination data 0.368056 childhood vaccination coverage 0.326794 MMR dose coverage 0.378396 vaccine series 0.40846 birth dose 0.444406 vaccine 0.581949 HepB birth dose 0.416136 poliovirus doses 0.357188 HepA doses 0.427185 American Indian/Alaska Native 0.374585	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
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
9397	Centers for Disease Control and Prevention	Html	es	Aprendizaje a partir experiencia europea de utilizar objetivos para mejorar la salud poblacional	null	Salud Pública 0.801868 Busse R 0.975178	Smith PC 0.906943	CLICK HERE
9887	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Food Security and Cardiovascular Disease Risk Among Adults in the United States: Findings From the National Health and Nutrition Examination Survey, 2003"2008 - CDC	Little is known about the relationship between food security status and predicted 10-year cardiovascular disease risk. The objective of this study was to examine the associations between food security status and cardiovascular disease risk factors and predicted 10-year risk in a national sample of US adults.	high school 0.269415 C-reactive protein 0.384724 food security status 0.747281 systolic blood pressure 0.329966 total cholesterol 0.293411 significant association 0.244403 health insurance status 0.272665 food-secure adults 0.263596 10-year risk 0.259409 diastolic blood pressure 0.254155 smoking status 0.244377 food insecurity 0.386078 Nutrition Examination Survey 0.254143 health insurance coverage 0.251161 marginal food security 0.351602 low food security 0.731234 cardiovascular disease risk 0.592412 disease risk factors 0.351887 oral hypoglycemic medications 0.29485 food security questions 0.270883 urinary albumin–creatinine ratio 0.303036 educational status 0.256606 mild food insecurity 0.25334 mean concentration 0.260951	women 0.262716 study 0.243411 significant associations 0.267169 concentrations 0.245346 Community Food Security 0.260098 United States 0.246776 food secure participants 0.29624 adults 0.309228 reduced food intake 0.252058 10-year cardiovascular disease 0.372543 Current Population Survey 0.251096 severe food insecurity 0.286797 non-HDL cholesterol 0.244643 food insecure avail 0.246542 hba1c 0.259108 participants 0.372054 BMI 0.247564 fully food 0.27413 unadjusted food security 0.262533 HDL cholesterol 0.25935 food security questionnaire 0.268746 food security 0.940207 Adult food security 0.268867 diabetes 0.243475	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
12413	Centers for Disease Control and Prevention	Image	null	You Only Have One Pair of Eyes (180W x 517H)	null			CLICK HERE
13534	Centers for Disease Control and Prevention	Html	en	Lead Poisoning and Anemia Associated with Use of AyurvedicMedications Purchased on the Internet - Wisconsin, 2015	Jon Meiman, MD1,2; Robert Thiboldeaux, PhD2; Henry Anderson, MD2.	1Epidemic Intelligence Service 0.771089 United States 0.792189 Urine toxic metals 0.822945 Vata Chintamani Rasa 0.798585 chelation therapy 0.806149 daily MG 0.735695 Shree Dhootapapeshwar Limited 0.783422 Wisconsin public health 0.830198 U.S. Environmental Protection 0.782173 possible environmental sources 0.795783 human health 0.727112 local health department 0.850808 Wisconsin Division 0.722339 endogenous physiologic role 0.782244 elevated blood lead 0.87355 Ayurvedic medication 0.807831 earlier reported risk 0.776736 highly toxic substance 0.774503 normal range 0.804711 Ayurvedic medications 0.917543 toxic metals 0.859353 local health departments 0.840873 inpatient medical evaluation 0.792816 public health 0.962488	peripheral blood smear 0.795889 lead-based herbal medicine 0.7648 female patient 0.747079 water lead level 0.823907 furnace atomic absorption 0.773182 Ayurvedic medicines 0.748148 Occupational Health 0.717969 optical emission spectroscopy 0.774746 outpatient lead 0.735976 BLL testing results 0.876133 Wisconsin State Laboratory 0.79247 local public health 0.816469 putative health benefits 0.800589 lead shot 0.733934 lead poisoning 0.733678 health problems 0.719508 oral meso-2,3-dimercaptosuccinic acid 0.778715 Jon Meiman 0.798887 single BLL 0.780067 Sri Ayurveda Trust 0.777929 case report confirms 0.77172 urine arsenic levels 0.847252 inductively coupled plasma 0.779558	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