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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
622	Centers for Disease Control and Prevention	Html	en	September is National Cholesterol Education Month - CDC Features	Learn what steps you can take to prevent high cholesterol or to reduce your LDL bad cholesterol level.	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
5101	Centers for Disease Control and Prevention	Html	en	Science Clips - Monday, July 05, 2010	null	respondent-driven sampling surveys 0.671178 disease control research 0.69216 health information technology. 0.69007 Acute radiation syndrome 0.671562 public health challenges 0.701951 National Construction Agenda 0.678179 CDC Knowledge 0.723767 temporary certification program 0.670016 Action Science Clips 0.952483 early personal health 0.688163 new weekly digest 0.68495 field testing draft 0.68649 Exp Appl Acarol. 0.677464 Van Kerkhove MD 0.679523 Folic acid intake 0.679248 Chief Science Officer 0.694491 County Osteoarthritis Project 0.682608 child health study 0.694798 rotavirus vaccination program 0.688538 Clin Infect Dis. 0.678051 national probability sample 0.678008 child psychological problems 0.668615 Bennett NM 0.671579 Environ Health Perspect. 0.70262 Stephen B. Thacker 0.758691	Environ Sci Technol. 0.677436 Borne Zoonotic Dis. 0.685818 Rotavirus disease burden 0.69309 Dawood FS 0.681353 folic acid 0.711516 public health 0.736093 Jun 0.689948 state physical education 0.672619 Longini Jr IM 0.675184 avian influenza virus 0.671223 Papanicolaou testing vs 0.672884 public health literature 0.696045 B. Thacker CDC 0.792904 Vaccinia virus infection 0.669894 Arnold KE 0.676441 Candida albicans group 0.672424 progressive radiographic osteoarthritis 0.6823 military smallpox vaccinee 0.669978 H1N1 influenza pandemic 0.679632 West Nile virus 0.674086 NIOSH Construction Program 0.676598 Thacker CDC Library 0.79289 vaccine stockpile design 0.673361 public health research 0.723628	CLICK HERE
5824	Centers for Disease Control and Prevention	Html	en	Antimony - 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
7593	Centers for Disease Control and Prevention	Html	en	Basic TB Facts - What to Do If You Have Been Exposed To TB	Centers for Disease Control and Prevention, Division of Tuberculosis Elimination	sings 0.217252 reason 0.213644 TB skin test 0.529006 active bacteria 0.3095 coworkers 0.216572 TB disease 0.935064 air 0.215376 body 0.213127 point 0.213129 local health department 0.326075 nurse 0.214112 lungs 0.218568 active TB disease 0.728065	TB bacteria 0.856554 TB infection 0.452138 family members 0.263029 TB Prevention 0.456998 people 0.273743 sneezes 0.215292 TB 0.965007 doctor 0.229572 persons 0.213544 person 0.254784 speaks 0.216061 time 0.247228 special TB blood 0.532465	CLICK HERE
8140	Centers for Disease Control and Prevention	Html	en	About one in five U.S. adult cigarette smokers have tried an electronic cigarette	[Title]	Office 0.428962 Centers 0.435397 study 0.471498 e-cigarette marketing 0.549771 adults 0.587741 large numbers 0.556646 changes 0.433123 electronic cigarettes 0.686052 traditional cigarettes 0.964368 Research 0.429871 young people 0.551078 assistance 0.428936 percent 0.541084 MD MPH 0.558577 products 0.431527 sexes 0.44032 Prevention 0.435342 current smokers 0.594435 initiation 0.43364	Disease Control 0.588525 awareness 0.467337 U.S. DEPARTMENT 0.554595 non-Hispanic Whites 0.586035 estimates 0.437435 Tim McAfee 0.558185 stories 0.429365 adult smokers 0.589465 long-term health 0.548966 Director Tom Frieden 0.704903 South 0.432137 visit www.BeTobaccoFree.gov 0.551884 e-cigarettes 0.778806 net public health 0.672552 users 0.429335 toxins 0.434229 visit http://www.cdc.gov/tips 0.557357 HUMAN SERVICES 0.554329 information 0.428237	CLICK HERE
8594	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - In Memorial, Arthur and Julienne Scoltic Valley and Loretta Carmel Crowley	In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss.	City Hospital 0.538879 Julienne′s aunt 0.542639 Arthur 0.970688 hospital administrator 0.536596 large numbers 0.538149 brief illness 0.636514 original letters 0.536244 dear Jewel 0.537442 Ogdensburg newspaper 0.755609 Charles Parker 0.546253 Grey Nuns 0.535224 mother′s family 0.532324 dear little Kathleen 0.66511 Buffalo 0.706387 deep regret 0.529737 father′s older sister 0.640321 Kathy Parker 0.549651 congenital heart defect 0.647356 mother′s sister 0.532948 dry goods merchant 0.647082 family photographs 0.53126 Kathleen Valley–Parker 0.572188 Julia Nisell Scoltic 0.634682 following headline 0.530018	religious order 0.542556 Sister St. Stephen 0.669203 Thousand Islands 0.549367 small town 0.554038 St. Lawrence River 0.67247 typhoid pneumonia 0.560495 Julienne 0.97818 Julienne′s sister 0.53495 father′s brother Edmund 0.625062 paternal grandmother 0.698165 Loretta Carmel Crowley 0.696733 New York 0.820964 father′s mother 0.692264 Art Tyo 0.535247 maternal grandparents 0.562006 Sacred Heart 0.540669 Julienne Scoltic–Valley 0.783879 father′s time 0.537805 Ogdensburg 0.78158 nursing school 0.542864 well–known family 0.547654 young daughter 0.53622 time Arthur 0.656055 Mrs. Arthur G. 0.752663	CLICK HERE
10628	Centers for Disease Control and Prevention	Html	en	PRC Online Health Program, WebEase©, on the Leading Edge of Technology	null	Emory University Prevention 0.380132 Emory University 0.503392 researcher Colleen DiIorio 0.347909 online epilepsy self-management 0.557469 Emory PRC colleagues 0.372984 people 0.348671 epilepsy self-management 0.942604 WebEase application 0.201117 one-on-one epilepsy management 0.471188 motivational interviewing techniques 0.283105	Epilepsy Foundation 0.47045 Web Epilepsy 0.403834 Emory mobile applications 0.341988 Epilepsy Program 0.409938 Internet video connection 0.308582 early mobile health 0.270371 evidence-based online program 0.317929 mobile devices 0.29744 epilepsy self-management program 0.843819 Dr. DiIorio 0.981613	CLICK HERE
12180	Centers for Disease Control and Prevention	Html	en	Ebola Virus Disease in Health Care Workers - Sierra Leone,2014	On December 9, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr).	potential Ebola 0.502941 ill person 0.419113 general care facilities 0.401996 Ebola reporting 0.488417 Ebola cumulative incidence 0.513665 Leone Ebola Response 0.542 HCW patients 0.408251 Ebola care facilities 0.599248 Kenema General Hospital 0.475713 Ebola outbreak 0.518169 non-HCW Ebola patients 0.530958 HCWs 0.576105 health care facility 0.383933 Ebola wards 0.494985 standard operating procedures 0.40451 broad range 0.384438 personal protective equipment 0.551901 inadequate training 0.384198 HCW Ebola cases 0.610137 Global Health 0.384802 health facility administrators 0.475616 health care services 0.384113 ebola virus disease 0.596402 health workforce 0.42204 Ebola incidence rate 0.522588	public health events 0.420725 health care facilities 0.397324 low-risk Ebola zones 0.522896 Ebola patients 0.71048 Health care worker 0.390586 Sierra Leone 0.874388 Hemorrhagic Fever database 0.529939 Sierra Leone health 0.420804 dedicated Ebola treatment 0.515407 Ebola cases 0.940656 HCW Ebola patients 0.579031 site visits 0.387154 health care workers 0.430584 health care 0.529287 national Viral Hemorrhagic 0.46407 live Ebola patient 0.520743 laboratory-confirmed Ebola cases 0.589228 Kenema District 0.425899 Viral Hemorrhagic Fever 0.597424 infection prevention 0.657079 Ebola incidence 0.556695 Ebola patient 0.594626 probable Ebola 0.517241 control measures 0.38256	CLICK HERE
13111	Centers for Disease Control and Prevention	Html	en	African Union and U.S. CDC Partner to Launch African CDC	Teen births continue to decline in the U.S., but still more than 273,000 infants were born to teens ages 15 to 19 in 2013. Childbearing during the teen years can carry health, economic, and social costs for mothers and their children.	public health domains 0.420019 advise African CDC 0.604658 Response Unit 0.449421 U.S. CDC 0.665109 African CDC. 0.393492 African CDC leadership 0.674617 African Union Special 0.461738 Disease Control 0.445273 African epidemiologists 0.407897 African Union 0.705129 African ownership 0.393482 Nkosazana Dlamini Zuma 0.407945 CDC Coordinating Center 0.624279 African Surveillance 0.406082 African CDC 0.950868 CDC Director Tom 0.604885 future health emergency 0.421787 public health emergencies 0.436826 African CDC partners 0.597303 Emergency Operations Center 0.398841 public health experts 0.425247 African Centres 0.442159 technical expertise 0.396996 CDC Media Relations 0.549828 public health entities 0.421934	African CDC Coordinating 0.731669 global health security 0.501831 public health institute 0.448737 health security work 0.412341 African Union Member 0.442241 African Union Commission 0.518724 DC –A Memorandum 0.409343 public health responders 0.434043 African CDC Surveillance 0.692729 African countries 0.401849 U.S. health protection 0.422341 AU geographic regions 0.390569 public health 0.690811 State John Kerry 0.402739 African citizens.  Partners 0.431858 address complex health 0.424387 African continent 0.395735 health agencies 0.38898 African Ebola epidemic 0.4715 Regional Collaborating Centers 0.643177 Member States 0.443514 African ministries 0.411305 field epidemiologists 0.411255 Regional Economic Communities 0.388758	CLICK HERE
15693	Centers for Disease Control and Prevention	Html	en	Incidence of Neonatal Abstinence Syndrome - 28 States,1999-2013 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	overall incidence 0.430912 state Medicaid programs 0.383245 NAS surveillance 0.431013 linear trends 0.40388 state-specific NAS incidence 0.639761 logistic regression 0.3796 drug withdrawal syndrome 0.483839 state in-hospital births 0.425803 NAS incidence 0.903461 opioid use disorder 0.421771 prescription drug monitoring 0.411229 acute care hospital 0.417033 public health practice 0.378825 Incidence rate numerator 0.421587 Medicaid programs 0.385496 hospital inpatient delivery 0.384944 opioid prescribing rates 0.414201 overall incidence rate 0.429825 euphoric opioid 0.385798 NAS cases 0.57165 United States 0.408509 in-hospital births 0.425975 overall NAS incidence 0.558725 states 0.486292 NAS incidence rates 0.712832	West Virginia 0.465116 hospital inpatient discharges 0.38276 hospital births 0.786745 annual incidence rate 0.542352 State Inpatient Databases 0.64995 public health 0.466087 postnatal drug withdrawal 0.424597 Utilization Project 0.390226 incidence rate change 0.430526 incidence rate denominator 0.420307 hospital administrative data 0.38103 public health programs 0.378018 opioid use disorders 0.376798 incidence rate changes 0.488025 de-identified administrative data 0.418027 opioid epidemic 0.376024 state-specific NAS estimates 0.466543 Chronic Disease Prevention 0.387895 opioid medications 0.391776 drug monitoring programs 0.414485 utero opioid exposure 0.412773 Neonatal abstinence syndrome 0.421887 opioid therapy 0.376799 NAS-related annual hospital 0.375287	CLICK HERE