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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1089	Centers for Disease Control and Prevention	Html	en	MMWR - Recommendations and Reports - APPENDIX A - March 22, 2013	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.	substantive excess risk 0.537198 Jacobson JA FG 0.530207 Pediatr Infect Dis 0.571951 nasopharyngeal carriage 0.724907 MMWR HTML versions 0.531309 public health departments 0.534272 acceptable antimicrobial agents 0.566673 nasopharyngeal carriers 0.533732 electronic PDF version 0.525682 Elcuaz R. Primary 0.530225 laboratory animals 0.533896 Clin Infect Dis 0.693408 preelementary school contacts 0.549926 Secondary attack rate 0.541009 meningococcal resistance 0.595168 Neisseria meningitidis 0.590194 meningococcal disease 0.958195 500-mg oral dose 0.537475 Antimicrob Agents Chem 0.531644 Rev Infect Dis 0.574142 invasive meningococcal disease 0.703744 United States 0.544442 original MMWR paper 0.530427 U.S. Government Printing 0.52658	Infect Dis 0.729722 N. meningitidis 0.63303 first-line chemoprophylaxis agent 0.570237 health-care personnel 0.5618 antimicrobial chemoprophylaxis 0.667547 Mateczun A. Azithromycin 0.576716 nasopharyngeal colonization 0.533384 sustained ciprofloxacin resistance 0.605476 index patient 0.65724 sporadic meningococcal disease 0.694038 secondary attach rate 0.544749 single-dose ciprofloxacin 0.534693 Frenck RW Jr 0.525521 attack rate 0.598253 Anonymous. Meningococcal disease 0.666176 Systemic antimicrobial therapy 0.560462 secondary cases 0.55258 Primary meningococcal conjunctivitis 0.770856 acceptable alternative therapy 0.525946 close contacts 0.778442 et al 0.53026 Single dose ciprofloxacin 0.591083 nasopharyngeal cultures 0.544781 Meningococcal pneumonia 0.583845	CLICK HERE
1324	Centers for Disease Control and Prevention	Html	en	Severe Respiratory Illness Associated with Enterovirus D68 -Missouri and Illinois, 2014	On September 8, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr).	CDC Picornavirus Laboratory 0.348745 chest radiographs 0.295098 Enterovirus D68* 0.286866 unexplained severe respiratory 0.369423 National Enterovirus Surveillance 0.463726 Fredrick Echols 0.225258 airway pressure ventilation 0.478002 nasopharyngeal specimens 0.339422 MMWR Early Release 0.319712 EV-D68 reports 0.227988 Susan I. Gerber 0.308412 state health departments 0.276014 intensive care unit 0.677786 Health care providers 0.292683 Kansas City 0.627891 website (http://www.cdc.gov/mmwr). 0.319532 patients 0.343004 underlying respiratory illness 0.430518 Mercy Hospital 0.30448 Respiratory Diseases 0.271833 various clinical symptoms 0.281256 febrile rash illness 0.364011 respiratory distress 0.276119 1Epidemic Intelligence Service 0.277378 Rangaraj Selvarangan 0.218513	geographically distinct observations 0.290651 respiratory illness 0.907227 United States 0.38735 Chicago Medicine Comer 0.312917 mild respiratory illness 0.412621 George Turabelidze 0.218432 previous history 0.299509 Mary Anne Jackson 0.311406 Ajanta Patel 0.223273 severe symptoms 0.224102 laboratory detections 0.2228 Claire M. Midgley 0.498755 extracorporeal membrane oxygenation 0.28746 EV-D68 0.241998 John T. Watson 0.311271 neurologic illness 0.255754 bilevel positive airway 0.477253 W. Allan Nix 0.31327 positive airway pressure 0.477198 multiplex polymerase chain 0.303455 B. Louise Giles 0.310868 severe respiratory illness 0.798922 Enterovirus infections 0.264403 3Infectious Disease Department 0.279996	CLICK HERE
6412	Centers for Disease Control and Prevention	Html	en	Fruit and Vegetable Consumption Among High School Students - United States, 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.	neighborhood stores.§§§ School 0.275303 vegetable consumption 0.576837 School Health Guidelines 0.279605 Sonia A. Kim 0.3095 U.S. Department 0.286028 median consumption 0.337626 Median daily consumption 0.346463 food consumption 0.275135 fruit juice 0.314866 Additional information 0.316745 total fruit consumption 0.337318 National Youth Physical 0.366125 U.S. high school 0.333052 school salad bars 0.275781 high school program 0.287248 schools 0.275168 non-Hispanic white students 0.37143 environmental approaches 0.368728 reported median consumption 0.324701 median number 0.316315 National School Lunch 0.27774 green salad 0.294666 median daily vegetable 0.352392 salad bars 0.311303	consistently low fruit 0.287686 fruit 0.52182 infrequent fruit 0.294442 Nutrition Study 0.290822 Vegetable Program 0.277017 vegetables 0.578628 vegetable recommendations 0.283553 Current daily fruit 0.322985 response options 0.292367 times 0.406334 Hispanic students 0.293798 fruits 0.371909 daily physical activity 0.287999 vegetable access 0.341044 students ate vegetables 0.359389 Youth Physical Activity 0.36573 daily vegetable consumption 0.371788 high school students 0.927446 physical activity 0.545047 total vegetable consumption 0.330322 daily fruit consumption 0.353043 Fresh Fruit 0.279475 high school diploma 0.286148 school food advocates 0.278496	CLICK HERE
6443	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Campylobacter jejuni Infections Associated with Sheep Castration - Wyoming, 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.	mmwrq@cdc.gov. 0.530659 abdominal cramps 0.524391 original MMWR paper 0.604894 U.S. Government Printing 0.598611 stool specimens 0.518554 Human Services 0.603776 assistive technology 0.529364 human isolates 0.533294 low frequency 0.507914 U.S. Department 0.601423 MMWR HTML versions 0.597087 MMWR readers 0.511796 Karl Musgrave 0.506531 electronic PDF version 0.597959 EIS officers 0.508787 laboratory-confirmed cases 0.529258 Aimee Geissler 0.517053 Ranch owners 0.512229 laboratory-confirmed illness 0.512805 animal exposure 0.515008 PFGE pattern 0.814082 Kerry R. Pride 0.74442 unpasteurized dairy products 0.615443 fecal samples 0.515024	subject line 0.528924 patients 0.540139 Contact GPO 0.523365 Clay Van Houten 0.606272 typeset documents 0.506192 commercial sources 0.506116 age-specific techniques 0.514504 official text 0.506836 common source 0.512611 Wyoming Department 0.534254 PulseNet* database 0.512992 Campylobacter jejuni enteritis 0.797895 mild diarrheal illness 0.615378 C. jejuni infection 0.744309 local sheep ranch 0.640112 original paper copy 0.591491 lambs 0.577445 lamb castration 0.513945 common sources 0.516974 pulsed-field gel electrophoresis 0.607844 multiday event 0.654089 laboratory testing 0.514667 C. jejuni 0.926391	CLICK HERE
6769	Centers for Disease Control and Prevention	Html	en	Global Health - South Africa - Where We Work	CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide	country 0.320093 strengthening 0.344724 endorsement 0.333653 health threats 0.435355 Epidemiology Training Program 0.541318 Global Disease Detection 0.535922 sites 0.320127 CDC-SA 0.322573 NDoH 0.321849 office 0.320548 Disease Surveillance 0.427056 Content source 0.423935 containment 0.325782 technical support 0.449234 HHS 0.336409 influenza pandemic preparedness 0.560277 Notice 0.323149 regional component 0.432309 sponsors 0.319931 faith-based organizations 0.447899 KB 0.328842	leadership 0.320582 Pretoria 0.327387 South Africa Field 0.548139 public health programming 0.552895 funding 0.32229 emergence 0.331892 Africa’s budget 0.45726 health initiatives 0.434776 current partners 0.42134 PEPFAR 0.324396 capital city 0.426601 programmatic oversight 0.449487 complete list 0.422271 TB 0.379092 SA-FETP 0.321031 non-federal site 0.441777 public entities 0.435357 HIV 0.357035 National Department 0.435282 employees 0.319965	CLICK HERE
6855	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0120	Several well-established determinants of health are associated with premature mortality. Using data from the 2010 County Health Rankings, we describe the association of selected determinants of health with premature mortality among counties with broadly differing levels of income.	county mortality data 0.431086 lower premature mortality 0.488074 Population Health Sciences 0.358692 average premature mortality 0.451721 county-level premature mortality 0.458659 adverse health outcomes 0.359038 CDC Compressed Mortality 0.405283 higher income levels 0.366972 household income levels 0.454786 Prevention Compressed Mortality 0.432243 4-year college degree 0.377376 mortality disparities 0.407114 health outcomes 0.404858 County Health Rankings 0.51305 higher premature mortality 0.487669 premature mortality determinants 0.461343 Disease Control 0.359071 median household income 0.594244 percentage 0.374675 county-level income 0.364643 health care 0.465978 public health 0.373585 multivariable regression 0.357527 median annual household 0.358229	variables 0.357658 population health 0.381715 Compressed Mortality database 0.46513 federal poverty guidelines 0.368544 high-income counties 0.361263 mortality measures 0.383269 health 0.515404 income levels 0.466262 annual household income 0.385585 Gini index scores 0.364765 scores income inequality 0.400218 index scores income 0.39205 Greater income inequality 0.368512 overall mortality 0.393562 better mortality outcomes 0.400742 income groups 0.444674 lower mortality rates 0.417628 income inequality 0.511764 population health model 0.357571 age-adjusted mortality rate 0.466962 premature mortality 0.942408 counties 0.424374 premature mortality rate 0.515903	CLICK HERE
7244	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0317	CDC’s Colorectal Cancer Control Program (CRCCP) funds 25 states and 4 tribal organizations to promote and increase colorectal cancer screening population-wide. The CRCCP grantees must use evidence-based strategies from the Guide to Community Preventive Services, including small media and client reminders.	patient education materials 0.280029 CRCCP leaders 0.720017 population subgroups 0.273482 small media 0.916496 colorectal cancer control 0.299732 colorectal cancer screening 0.321196 health care providers 0.27751 colorectal cancer resources 0.357778 information resources 0.286591 colorectal cancer 0.759046 client reminders 0.751898 CRC screening 0.430655 community partners 0.767831	environmental scan 0.211237 resources 0.504815 community health centers 0.444735 respondents 0.494126 CRCCP cooperative agreements 0.20387 survey 0.332836 Community Preventive Services 0.291617 American Indian/Alaska Native 0.262687 existing colorectal cancer 0.23914 tribal organizations 0.339524 busy lives 0.235006 message themes 0.200284	CLICK HERE
7280	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0344	US Hispanics have disproportionate rates of diabetes and other chronic diseases. We used the entertainment–education approach to develop a Spanish-language radio novella aimed at reducing risk factors for diabetes, obesity, and tobacco use.	local radio personality 0.504919 Spanish-speaking community members 0.536036 community-based participatory methods 0.50772 health issues 0.742413 listening sessions 0.506473 culturally relevant storyline 0.512276 que era diabetes 0.508285 entertainment–education approach 0.557985 Hispanic immigrants 0.515894 Hispanic adults 0.509685 salient health issues 0.57549 Promesas y Traiciones 0.513049 various health issues 0.523768 local Hispanic community 0.696961 Spanish-language radio station 0.736413 Hispanic community 0.729708 community engagement objectives 0.557064 risk factors 0.538483 poor health behaviors 0.516272 health messages 0.524878 local Hispanic population 0.524219 community residents 0.524231 Hispanic health organization 0.557997 community events 0.514243 community engagement 0.661616	Spanish-language radio novella 0.563559 Hispanic population 0.595666 local Hispanic health 0.582836 intervention 0.513484 county health department 0.586777 community members 0.914198 Hispanic health issues 0.591317 local community 0.536231 community service activities 0.519644 local Spanish-language newspapers 0.587726 Hispanic target audience 0.5053 community engagement outcome 0.530815 non-Hispanic white adults 0.511009 Hispanic service organization 0.512837 social cognitive theory 0.517076 Hispanic theater professor 0.505799 physical activity 0.70646 well-attended community events 0.511294 Community Context 0.507183 Community creative workshop 0.523905 Community members Health 0.572381 community workshop 0.519708 local Spanish-language radio 0.629397 diabetes 0.57265	CLICK HERE
10955	Centers for Disease Control and Prevention	Html	en	Barriers to Human Papillomavirus (HPV) Vaccination Among Adolescents in the United States	In the United States, HPV vaccination rates are low compared with other recommended vaccines.	CDC 0.351446 vulvar 0.326432 HPV vaccine recommendations 0.662437 throat cancer 0.417989 vaccination status 0.419522 health care providers 0.492575 Stokley S. Barriers 0.515995 different concerns 0.400147 anus 0.327571 12-year-olds 0.322659 cervical cancers 0.448744 males 0.321517 literature review 0.403034 article 0.32271 recent estimates 0.418553 HPV vaccines 0.607417 acute care visits 0.487612 Health care professionals 0.484453 preteen boys 0.425405 doctors 0.334575 human papillomavirus 0.555006 shots 0.340645 women 0.360552 parents 0.359686 doses 0.357153	United States 0.525342 teens 0.338762 HPV vaccine 0.926743 U.S. adolescents 0.415449 certain groups 0.397806 vulva 0.329502 genital warts 0.553758 HPV vaccination rates 0.674007 penile cancer 0.423743 vaginal cancers 0.452635 female adolescents 0.418202 health care 0.494996 Roland KB 0.409477 preteens 0.3379 JAMA Pediatrics 0.413371 females 0.320806 Gardasil 0.406848 children’s health 0.4044 Benard 0.325565 anal cancer 0.422514 systematic review 0.40251 human papillomavirus vaccination 0.521182 people 0.322658 series 0.340677	CLICK HERE
16024	Centers for Disease Control and Prevention	Html	en	Preventing Unintended Pregnancy during the Zika Virus Outbreak	Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention.	newer synthetic condoms 0.581534 male condom 0.605882 Transcervical sterilization —A 0.567416 right time 0.547563 cervical cap 0.605706 progestin-only pill 0.548361 Emergency contraception 0.564169 contraceptive ring —The 0.578208 reversible birth control 0.605106 birth control methods 0.702257 unintended pregnancy 0.548081 permanent methods 0.550365 Implant —The implant 0.582508 pregnancy 0.57315 birth control pills 0.651017 sexually transmitted diseases 0.566251 birth control 0.914207 female condoms 0.575533 Female sterilization—tubal ligation 0.56535 natural family planning 0.61626 progestin-only birth control 0.591632 drug stores 0.572674 women 0.595392 birth control options 0.584853 Progestin only pill 0.574624	long-acting reversible contraception 0.580917 permanent birth control 0.583532 hormones progestin 0.589432 regular menstrual cycle 0.566393 primary method 0.571003 Patch —The patch 0.578793 Male sterilization —vasectomy 0.563665 Male condom —A 0.582894 sex 0.578987 birth control method 0.590808 sperm 0.606517 scar tissue 0.589751 female condom 0.6032 doctor 0.610396 small T-shaped device 0.57095 mini pill 0.54761 fallopian tubes 0.599016 contraceptive implants 0.584527 Hormonal IUD —This 0.580098 monthly fertility pattern 0.563196 outpatient surgical center 0.61634 time 0.589677 Latex condoms 0.551846 combined oral contraceptives 0.567714	CLICK HERE