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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
518	Centers for Disease Control and Prevention	Html	en	Who Should not Get Vaccinated | CDC	Who should NOT Get Vaccinated?	Tdap vaccine 0.296381 health care provider 0.303789 pregnant women 0.330075 severe allergies 0.466563 severe allergic reaction 0.26589 yellow fever vaccine 0.318971 anthrax vaccine 0.334159 vaccine tablets 0.32473 varicella vaccine 0.304879 influenza vaccine 0.306793 chickenpox vaccine 0.331419 meningococcal ACWY vaccine 0.315099 hepatitis A vaccine 0.311034 shingles vaccine 0.323926 rabies vaccine 0.305912 severe allergy 0.530001 typhoid vaccine 0.324579 life-threatening allergic reaction 0.881751 dose 0.448739 person 0.306382 previous dose 0.425582 pertussis vaccine 0.311969 earlier pneumococcal vaccine 0.313353 meningococcal vaccine 0.302052	vaccine components 0.335066 rotavirus vaccine 0.318984 JE vaccine 0.313262 flu vaccine 0.329162 HPV vaccine 0.329971 life-threatening allergies 0.298336 MMRV vaccine 0.339147 vaccine virus 0.318866 mild illness 0.373388 severe reaction 0.2539 Td vaccine 0.296862 hepatitis B vaccine 0.310235 Hib vaccine 0.331618 vaccine component 0.319792 DTaP vaccine 0.313751 people 0.284121 doctor 0.37372 vaccine 0.98629 Live typhoid vaccine 0.30615 antibiotic neomycin 0.263282 cancer 0.252495 adenovirus vaccine 0.322799 Oral typhoid vaccine 0.309821 MMR vaccine 0.325788	CLICK HERE
1078	Centers for Disease Control and Prevention	Html	en	Epilogue - April 18, 2014 | MMWR	Leandris C. Liburd, PhD1.	health insurance 0.592957 public health practitioners 0.638768 health equity 0.584643 health inequities 0.638747 preventive screening services 0.582529 CDC Health Disparities 0.770966 MMWR HTML versions 0.578854 health outcomes 0.627084 health disparities 0.925644 certain sexual identities 0.585329 electronic PDF version 0.57916 national public health 0.642077 preventable health disparities 0.763477 health conditions 0.596808 health behaviors 0.595036 current disparities 0.672674 special health-care needs 0.603154 public health reports 0.644916 Affordable Care Act 0.645643 free nutrition counseling 0.582913 health status 0.63707 U.S. population groups 0.608272 public health practice 0.629128 population groups 0.625589	health-care disparities 0.70056 overall health statistics 0.647669 original paper copy 0.575764 share common elements 0.579637 national policy initiatives 0.58292 health indicators 0.6158 persistent health 0.605523 increasingly minority workforce 0.592335 U.S. Government Printing 0.582602 original MMWR paper 0.582029 Health Inequalities Reports 0.637654 National Prevention Strategy 0.58588 public health community 0.641821 negative health outcomes 0.625469 heart disease 0.588137 disability status 0.582967 certain geographic locations 0.583754 public health 0.771428 health care 0.599989 non-Hispanic white adults 0.584563 racial/ethnic minorities 0.600943 public health practices 0.63405 high blood pressure 0.58478 descriptive demographic tables 0.669095	CLICK HERE
4922	Centers for Disease Control and Prevention	Html	en	Consider Cholera: Information for U.S. Healthcare Professionals	CDC - Global Health			CLICK HERE
12060	Centers for Disease Control and Prevention	Html	en	Resources for Parents, Schools, and Pediatric Healthcare Professionals | Ebola Hemorrhagic Fever	null	practice 0.421349 rare disease 0.526718 CDC 0.457366 United States 0.526551 appropriate care 0.521684 adults 0.472158 Early Head Start 0.619163 Child Care Providers 0.619794 school administrators 0.525377 funeral rituals 0.537617 pediatric patients 0.516507 social needs 0.532181 Ebola outbreak 0.764253 public health departments 0.635499 caregivers 0.423993 unique physical 0.532376 children 0.641035 mental health needs 0.844366 procedures 0.421327 K-12 schools 0.52546 case fatality rates 0.667292 special mental health 0.640144	place 0.421312 following publications 0.525444 news 0.423015 impact 0.421138 sick people 0.538893 Tools 0.444344 resources 0.445502 staff 0.421195 high risk activities 0.64289 local health officials 0.621405 concerns 0.447645 steps 0.421121 friends 0.422985 fewer children 0.555977 Ebola-related decisions 0.523315 School officials 0.521143 chances 0.42535 healthcare workers 0.530007 past outbreaks 0.545652 information 0.471659 appropriate state 0.523109 Ebola 0.974979	CLICK HERE
13588	Centers for Disease Control and Prevention	Html	en	Vital Signs: Predicted Heart Age and Racial Disparities inHeart Age Among U.S. Adults at the State Level	Please note: An erratum has been published for this article. To view the erratum, please click here.	predicted excess heart 0.393223 United States 0.355517 risk score 0.36613 heart age calculation 0.373977 Risk Factor Surveillance 0.362765 chronological age 0.474297 additional CVD risk 0.36785 heart age versus 0.365173 systolic blood pressure 0.587976 long-term CVD risk 0.375299 CVD risk factor 0.364919 risk factor profile 0.361372 lifestyle changes 0.368496 excess heart age 0.824441 geographic CVD disparities 0.358673 CVD risk 0.535998 men 0.365617 predicted systolic blood 0.367565 participants 0.35473 higher predicted heart 0.403929 non–laboratory-based framingham risk 0.363449 CVD prediction models 0.356162 FRS heart age 0.370846	framingham risk score 0.363447 U.S. adults 0.42738 different predicted risk 0.362846 elevated heart age 0.364478 modifiable CVD risk 0.376906 CVD risk levels 0.365863 cardiovascular risk factor 0.388576 mean excess heart 0.372877 household income 0.385878 absolute CVD risk 0.38462 10-year CVD risk 0.366453 age-standardized excess heart 0.363989 excess heart ages 0.364796 mean chronological age 0.353092 sex-specific non–laboratory-based Framingham 0.353733 coronary heart disease 0.372337 average excess heart 0.360556 traditional absolute CVD 0.354184 Behavioral Risk Factor 0.362801 CVD risk factors 0.505337 heart age 0.947757 BRFSS participants 0.352945 women 0.370768	CLICK HERE
14397	Centers for Disease Control and Prevention	Html	en	Shiga Toxin-Producing E. Coli & Food Safety | CDC Features	Although most kinds of E. coli are harmless, others can make you sick. Learn about E. coli and what you can do to help lower the risk of infection.	common type 0.56068 lower your chances 0.567808 Shiga toxin 0.568908 Escherichia coli 0.655662 alcohol-based hand sanitizer 0.601321 food thermometer 0.615538 Thoroughly wash hands 0.635059 cook beef steaks 0.595871 food preparation areas 0.607834 minimum internal temperature 0.601318 healthy children 0.557879 fresh apple cider 0.596487 diagnostic tests 0.557709 news reports 0.561088 USDA Color 0.55586 permanent health problems 0.601942 non-O157 STEC infections 0.673544 life-threatening complication 0.622061 bloodstream infections 0.583737 foodborne illness 0.661893 higher chances 0.557659 potentially life-threatening complication 0.609783 track foodborne illness 0.62291 weak immune systems 0.599936 foodborne illness outbreaks 0.623437	Brand SoyNut Butter 0.626659 United States 0.607191 faster diagnostic technology 0.604978 respiratory illness 0.574186 bad stomach cramps 0.607111 human intestinal tract 0.613522 hemolytic uremic syndrome 0.724122 safe internal temperature 0.697756 unpasteurized juices 0.560384 Cooked Ground Beef 0.605287 E. coli 0.948506 toxin-producing E. coli 0.711012 food poisoning 0.562009 toddler’s mouth 0.597374 unpasteurized dairy products 0.603916 STEC infections 0.675358 HUS 0.576599 little urine 0.558674 people 0.610271 food safety 0.560061 healthcare provider 0.559 high fever 0.556597 urinary tract infections 0.631528 E.coli O157 0.565673	CLICK HERE
14496	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Expanded Chemoprophylaxis Offered inResponse to a Case of Meningococcal Meningitis in an ElementarySchool - Indiana, 2015 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	minimal school disruption 0.77653 local health partnerships 0.806531 Human Services 0.766144 state health officials 0.823639 U.S. Department 0.771693 school faculty members 0.781842 possible exposures 0.705262 electronic PDF version 0.760174 meningococcal chemoprophylaxis 0.749863 health care providers 0.956086 Fort Wayne-Allen County 0.805257 immediate adverse events 0.762185 adult contacts 0.72063 2Epidemiology Resource Center 0.758527 peripheral event contacts 0.788264 Stacey W. Martin 0.758276 Indiana State Department 0.78093 previous public health 0.803257 chemoprophylaxis clinic 0.733343 Gram stain results 0.794352 close household contacts 0.799329 elementary school 0.796098 local nonprofit hospital 0.791856 meningococcal disease 0.739143 persons 0.700022	cerebrospinal fluid 0.704456 minimal disruption 0.702653 county health department 0.986466 short time frame 0.757678 appropriate chemoprophylaxis 0.708297 Neisseria meningitidis serogroup 0.784045 original MMWR paper 0.765862 infectious period 0.70163 group receive antibiotics 0.757839 public health recommendations 0.818892 local hospital laboratory 0.81634 well-defined target group 0.763395 health care workers 0.81528 appropriate dosages 0.701556 ciprofloxacin oral suspension 0.808863 Parkview Regional Medical 0.77553 Wayne-Allen County Department 0.781805 CDC support 0.737137 meningococcal meningitis 0.834053 elementary school–aged children 0.784862 potential drug interactions 0.767983 potentially face-to-face contact 0.781223 close family members 0.809387 close contacts 0.721301	CLICK HERE
15401	Centers for Disease Control and Prevention	Html	en	Prevalence of Diabetes on Santa Cruz Island in GalapagosArchipelago	Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.	capillary blood glucose 0.590106 glucose levels 0.435433 cardiovascular risk profile 0.419463 Santa Cruz Island 0.430728 annual population growth 0.428463 undiagnosed diabetes 0.572133 Expert Committee guidelines 0.423683 Contour test stripes 0.416753 newly diagnosed diabetes 0.55537 Global Health Observatory 0.427868 finger prick test 0.418261 World Health Organization 0.532133 following risk factors 0.430401 body mass index 0.417032 patients 0.439413 high risk race/ethnicity 0.450974 blood glucose test 0.476407 diabetes risk 0.557341 International Expert Committee 0.629155 1-month screening program 0.45978 capillary glucose 0.503114 high risk 0.610238 high-risk individuals 0.427513 glucose tolerance test 0.472155 local television news 0.418345	blood glucose testing 0.496789 population-based stepwise screening 0.418327 impaired fasting glucose 0.619083 public health burden 0.468986 screening program 0.488497 multiple risk factors 0.424699 glucose tolerance 0.476148 annual health care 0.479321 public health 0.494896 International Diabetes Federation 0.767096 various health reasons 0.446272 Diabetes Care 0.665096 Diabetes mellitus 0.566695 health clinic 0.51884 glucose intolerance prevalence 0.539572 Puerto Ayora town 0.470976 Detecto Scale Company 0.415678 Puerto Ayora 0.636628 public health problem 0.47005 Diabetes Centre 0.522205 Public Health Service 0.437039 et al 0.450398 Health Serv Res 0.432174 Tegel S. Ecuador 0.42559	CLICK HERE
16015	Centers for Disease Control and Prevention	Html	en	Unmet Needs for Ancillary Services Among Hispanics/LatinosReceiving HIV Medical Care - United States, 2013-2014 |MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	Medical Monitoring Project 0.228171 National HIV/AIDS Strategy 0.211904 United States 0.415061 dental care 0.318439 prevalent unmet needs 0.383054 HIV patients 0.223862 higher prevalence 0.218383 ancillary services 0.776424 outpatient HIV 0.272199 considerable unmet needs 0.305284 housing services 0.232388 available ancillary services 0.228156 HIV access HIV 0.430386 medical care services 0.257423 health disparities 0.245036 vision care 0.340332 HIV-related health disparities 0.236734 HIV disease 0.231975 HIV viral suppression 0.323396 routine HIV 0.227615 peer group support 0.215458 unmet needs 0.945207 Hispanic/Latino men 0.229656	substantial unmet needs 0.38151 White HIV care 0.275777 unmet transportation 0.269916 unmet need 0.50221 sexual orientation/behavior 0.268876 primary HIV 0.226528 transportation assistance services 0.211293 nutrition services 0.26364 HIV medical care 0.859137 subsistence services 0.266583 Hispanics/Latinos 0.248127 transportation assistance 0.322492 prevalent unmet need 0.34535 HIV treatment 0.314163 poorer HIV treatment 0.259429 HIV care 0.403212 HIV support services 0.314074 mental health care 0.268538 HIV services 0.25931 HIV peer group 0.320387 group support 0.216011 AIDS Care 0.200214 outpatient medical care 0.212866	CLICK HERE
16287	Centers for Disease Control and Prevention	Html	en	FastStats - Smoking	null	figure 0.535703 Survey 0.458843 PDF 0.456741 data table 0.751843	Early release 0.821223 National Health Interview 0.94388 Source 0.463046	CLICK HERE