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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
870	Centers for Disease Control and Prevention	Html	en	H7N9 Situation and CDC Response Update	H7N9 Situation and CDC Response Update	H7N9 candidate vaccine 0.63094 seed virus 0.48497 vaccine manufacturer 0.564257 H7N9 infections 0.491493 CDC 0.620301 avian influenza 0.618235 H7N9 diagnostic test 0.53166 seed strain 0.529512 proactive preparedness measures 0.511691 Public health laboratories 0.501793 United States 0.659946 avian influenza viruses 0.581744 test kits 0.579397 public health threat 0.518868 high-yield candidate vaccine 0.60362 flu vaccine 0.593278 H7N9 cases 0.539051 H7N9 test kits 0.531948 flu virus 0.503111 H7N9 vaccine 0.620579 seasonal influenza viruses 0.585414 China 0.521892 large quantities 0.505763 candidate vaccine virus 0.765968	Sporadic human cases 0.532371 food safety practices 0.506483 influenza vaccine 0.670051 World Health Organization 0.6009 seasonal influenza 0.641294 candidate vaccine viruses 0.982139 flu viruses 0.506367 sick person 0.492275 people 0.505905 live bird markets 0.516819 H7N9 flu 0.494273 new influenza virus 0.572612 human infections 0.55925 new virus 0.507453 U.S. national vaccination 0.499375 potential candidate vaccine 0.70506 China CDC 0.505206 flu diagnostic tests 0.516687 vaccine clinical trials 0.586884 H7N9 0.660399 H7N9 potential candidate 0.544103 influenza vaccine production 0.626907 newly reported H7N9 0.557414	CLICK HERE
1074	Centers for Disease Control and Prevention	Html	en	Are you getting enough sleep? | CDC Features	Tired? Insufficient sleep is associated with a number of chronic diseases and conditions, such as diabetes, cardiovascular diseases, obesity, and depression. Sufficient sleep is increasingly being recognized as an essential aspect of chronic disease prevention and health promotion.	pediatric populations 0.202733 American Academy 0.385868 sleep health 0.58178 joint consensus statement 0.300484 short sleep 0.625827 Buxton OM 0.209879 motor vehicle crash 0.311662 sleep 0.939515 early death 0.219714 healthy adult 0.203922 Hall WA 0.20288 increased risk 0.221294 important habits 0.214387 sleep habits 0.57511 sleep disorders 0.571051 Watson NF 0.209219 good health 0.231411	Brooks LJ 0.213215 poor sleep quality 0.667765 poor mental health 0.320585 family demands 0.233267 Clin Sleep Med 0.642228 Research Society recommend 0.30889 Badr MS 0.214523 sleep disorder 0.561499 high blood pressure 0.320564 et al 0.283722 bad mood 0.214789 Sleep Research Society 0.849034 Sleep Medicine 0.712555 coronary heart disease 0.324753 Lloyd RM 0.209431 Bliwise DL 0.209946	CLICK HERE
6047	Centers for Disease Control and Prevention	Html	en	Tetrachloroethylene - 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
6324	Centers for Disease Control and Prevention	Html	en	Lifestyle behaviors and physician advice for change among overweight and obese adults with prediabetes and diabetes in the United States, 2006.	null	health insurance 0.383317 Appropriate lifestyle behaviors 0.395485 weight management behavior 0.393781 National Health Interview 0.417683 high school education 0.438235 Guidelines define overweight 0.384382 Look AHEAD study 0.414867 healthy lifestyle behavior 0.390077 respondent lifestyle behavior 0.391225 higher reported prevalence 0.402396 logistic regression 0.450238 obese people 0.620649 obese BMI categories 0.39584 lifestyle behaviors 0.767297 body mass index 0.457515 weight loss 0.63804 Health Interview Survey 0.417784 health status 0.438138 respondents 0.458852 diabetes control 0.404603 high risk 0.38201 obese patients 0.397318 diabetes status 0.397497 obese respondents 0.413084	respondent lifestyle behaviors 0.405564 behavior change respondents 0.402095 diet 0.445368 overweight 0.459446 lifestyle behavior change 0.591187 borderline diabetes 0.392133 Weight control behaviors 0.399366 prediabetes 0.424803 physician advice 0.843475 health 0.474521 calories 0.459734 diagnosed diabetes 0.389108 physician recommendation 0.527414 sample 0.382499 physical activity 0.985213 obese adults 0.413642 Diabetes Prevention Program 0.427857 diabetes prevention initiatives 0.41659 reported lifestyle behaviors 0.454535 lifestyle change advice 0.397008 American Diabetes Association 0.405164 regression analysis modeling 0.391383 logistic regression models 0.388902 diabetes 0.672861	CLICK HERE
9440	Centers for Disease Control and Prevention	Html	es	Riesgo cardiovascular según los perfiles séricos de lípidos y apolipoproteínas en una de las Naciones Originarias de Canadá	null	native canadian population 0.406903 Naciones Originarias 0.789059 cardiovascular risk factors 0.438699 ApoB Valor Pb 0.422513 Aastveit AH 0.409235 Harris SB 0.434437 Walldius G 0.417067 cardiovascular comorbidities 0.411561 canadian populations 0.410226 Wang Z 0.418781 apolipoprotein b 0.411468 Health Research 0.408256 cintura hipertrigliceridémica 0.410566 risk factors 0.456748 Zinman B 0.418586 Gittelsohn J 0.409367 Holme I 0.409603 colesterol hdl 0.924786 colesterol ldl 0.528514 Kue Young 0.410878 Canadian aboriginal population 0.409799 aboriginal people 0.440621 Valor Pb Media 0.420119 baja densidad 0.419587 Jungner I 0.417583	Connelly PW 0.409418 alto riesgo 0.412092 Valor Pb Hombres 0.409945 diabetes mellitus 0.413476 ApoA1 Valor Pb 0.413933 apolipoproteína a1 0.413087 Hanley AJ 0.410553 new risk factor 0.40918 alta densidad 0.466464 apolipoprotein a-i 0.412762 risk factors among 0.411342 insulin resistance 0.410722 Risk Evaluation 0.40725 mayor riesgo 0.412458 Diabetes Res Clin 0.415767 Intern Med 0.423639 Diabetes Care 0.414263 predict coronary risk 0.409904 relationship with diabetes 0.415674 apolipoprotein a1 0.412486 Valor Pb 0.439595 aboriginal canadian youths 0.40928 Manitoba Health Research 0.407542 coronary risk 0.416508	CLICK HERE
12235	Centers for Disease Control and Prevention	Html	en	Tetrodotoxin Poisoning Outbreak from Imported Dried PufferFish - Minneapolis, Minnesota, 2014	Jon B. Cole, MD1,2, William G. Heegaard, MD2, Jonathan R.	rehydrated fish 0.67156 Applied Nutrition 0.707326 alkaloid toxin tetrodotoxin 0.728648 mental status 0.668999 puffer fish consumption 0.739173 Minnesota Department 0.718901 William G. Heegaard 0.671004 tetrodotoxin testing 0.673239 New York City 0.79915 tetrodotoxin poisoning 0.711722 blood cell count 0.722464 toxin analysis 0.687893 room air 0.669149 normal range 0.697869 County Medical Center 0.726777 blood pressure 0.668356 Sara C. McGrath 0.667587 blood oxygen saturation 0.72403 Food Safety 0.702852 emergency department 0.707297 puffer fish 0.97012 puffer fish products 0.791543 genetic analysis 0.724169 Jonathan R. Deeds 0.725399 Jon B. Cole 0.667118	United States 0.725686 fish family Tetraodontidae 0.701914 public health threat 0.699197 potentially lethal toxin 0.678782 Drug Administration 0.695653 high levels 0.671654 medical advice 0.66732 U.S. public health 0.672635 Sara M. Handy 0.667256 Lagocephalus lunaris 0.71389 domestically sourced puffer 0.712325 puffer fish poisoning 0.829426 alkaloid toxin 0.729223 public health 0.723568 Center Emergency Department 0.68255 carbon dioxide 0.667291 white blood cell 0.724825 puffer fish species 0.75056 York City Department 0.666595 tongue numbness 0.676646 minimum lethal dose 0.665631 acetic acid 0.695056 tetrodotoxin 0.732473 Laboratory results 0.668759	CLICK HERE
12247	Centers for Disease Control and Prevention	Html	en	Office on Smoking and Health - Smoking & Tobacco Use	CDC's Office on Smoking and Health offers information related to smoking and tobacco use.	tobacco-related death 0.511243 Centers 0.247009 smoking-related disease 0.506992 United States 0.773178 CDC Foundation 0.540828 disability 0.253309 adults 0.247519 cause 0.248357 tobacco-related health disparities 0.766072 health officials 0.455022 youth 0.301111 Prevention 0.246909 world 0.244341 Melinda Gates Foundation 0.677377 Disease Control 0.466402 preventable disease 0.534417 Bloomberg Initiative 0.473788 strategic efforts 0.464852 tobacco users 0.697547 deaths 0.254326	public’s health 0.449345 illness 0.249026 Reduce Tobacco 0.682018 cigarette 0.264148 agency 0.245964 chronic diseases 0.472528 harmful effects 0.471685 international leaders 0.454043 Americans 0.247396 decision makers 0.460945 medical care 0.481623 smoke-free environments 0.491514 different population groups 0.685487 tobacco epidemic 0.698353 forefront 0.264321 exposure 0.250464 partners 0.29061 tobacco control interventions 0.929573 global tobacco work 0.889088 programs 0.245507	CLICK HERE
12390	Centers for Disease Control and Prevention	Image	null	School-based Programs for Preventing HIV & STDs among U.S. Youth (200W x 884H)	null			CLICK HERE
15419	Centers for Disease Control and Prevention	Html	en	Tuberculosis Among Temporary Visa Holders Working in theTourism Industry - United States, 2012-2014 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	latent TB infection 0.739871 TB test results 0.547019 foreign-born persons 0.43013 global TB elimination 0.539764 high TB incidence 0.552689 TB contact investigations 0.552809 TB awareness 0.56086 recent TB infection 0.559473 active TB disease 0.566411 temporary visa holders 0.49079 incident TB cases 0.604253 positive TB test 0.547469 TB evaluation 0.551496 TB Prevention 0.529076 genotype-matching TB case 0.568167 recent TB 0.566248 TB screening 0.668014 premigration TB 0.521234 additional active TB 0.683754 first-line TB medications 0.565865 TB patients 0.524858 national TB surveillance 0.557532 TB incidence 0.628721 TB risk factors 0.684317	foreign-born seasonal workers 0.416641 infectious TB 0.637925 TB symptoms 0.579269 recent TB cases 0.563879 smear–positive pulmonary TB 0.557525 TB screening requirements 0.604305 temporary workers 0.537658 secondary TB cases 0.564436 United States 0.761973 TB disease 0.704544 foreign-born temporary workers 0.459065 TB transmission 0.650535 TB contact investigation 0.579121 public health 0.493236 pulmonary TB disease 0.690042 active TB cases 0.69571 active TB 0.711188 TB cases 0.946669 smear-positive pulmonary TB 0.630726 TB education 0.590087 National Park Service 0.422173 TB contact 0.580457 TB diagnosis 0.531062 TB signs 0.523085	CLICK HERE
15695	Centers for Disease Control and Prevention	Html	en	Outbreak of Plague in a High Malaria Endemic Region - NyimbaDistrict, Zambia, March-May 2015 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	Field Epidemiology Training 0.39678 symptom onset 0.47599 Malaria parasitemia 0.340732 SD-Bioline Malaria Ag 0.388469 plague 0.935929 possible plague cases 0.627433 lymph node enlargement 0.361361 lymph node aspirates 0.48437 clinically compatible plague 0.612058 plague diagnosis 0.435317 active case finding 0.397935 plague case definition 0.504848 spectrum antibiotic treatment 0.401845 Malaria treatment guidelines 0.40047 antibiotic treatment 0.404166 median age 0.374714 Y. pestis 0.742629 Sporadic plague outbreaks 0.542313 Malaria positivity 0.341688 Zambia 0.507717 suspected plague patients 0.632601 blood specimens 0.569834 public health practice 0.342426 PCR-positive plague cases 0.520028 severe malaria 0.479551	health center catchment 0.416508 swollen lymph nodes 0.354172 Zambia Ministry 0.439869 Epidemiology Training Program 0.396771 malaria 0.523426 severely ill patients 0.344215 Zambia School 0.355256 Nyimba District 0.43142 previous plague outbreaks 0.475277 plague transmission 0.440192 cervical lymph nodes 0.354686 plague patients 0.733213 plague cases 0.703936 polymerase chain reaction 0.415381 limited microbiologic capacity 0.401994 bubonic plague cases 0.556124 Y. pestis plasminogen 0.362574 malaria RDTs 0.340408 untreated plague range 0.536859 bacterial infection 0.362977 center catchment areas 0.400301 Yersinia pestis 0.372562 frontline health workers 0.409607 combat plague 0.457206	CLICK HERE