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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
7251	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Severe Varicella in an Immunocompromised Child Exposed to an Unvaccinated Sibling with Varicella - Minnesota, 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. 0.420541 fatal varicella 0.69122 human immunodeficiency 0.41564 substantial laboratory abnormalities 0.485588 younger sibling 0.412927 United States 0.408298 original MMWR paper 0.483383 U.S. Government Printing 0.47751 Human Services 0.482381 Minnesota Department 0.411799 assistive technology 0.41495 immunocompromised persons 0.51481 older sister 0.476998 2-day history 0.409782 U.S. Department 0.480498 MMWR HTML versions 0.47628 hemorrhagic varicella 0.752982 prophylactic varicella zoster 0.815504 varicella vaccination program 0.868749 electronic PDF version 0.476844 varicella vaccine 0.715331 self-limited disease 0.415523 intravenous acyclovir 0.41464	weekly immunosuppressive therapy 0.520104 varicella symptoms 0.708119 Sarah K. Kemble 0.614763 live vaccine virus 0.48 subject line 0.415342 Contact GPO 0.408518 long-term immunosuppressive therapy 0.503292 new skin lesions 0.497418 hesitant parents 0.410581 Investigational New Drug 0.484505 T-lymphocyte immunodeficiency 0.412251 juvenile rheumatoid arthritis 0.487347 immunosuppressive therapy 0.52939 extensive maculopapulovesicular rash 0.49825 postexposure prophylaxis 0.410669 skin lesions 0.514172 varicella-related hospitalizations 0.415087 varicella immunity 0.862355 original paper copy 0.470251 high risk 0.491642 immunocompromised patient 0.478487 varicella zoster virus 0.778061 immunocompromised patients 0.485254	CLICK HERE
7905	Centers for Disease Control and Prevention	Html	en	Global Health - Nigeria - Sickle Cell Disease	null	Nigeria Global Health 0.987981 Sickle Cell Cohort 0.86466 (Nigeria) 0.725119 CDC 0.436883 endorsement 0.376504 100,000 0.341295 Public Health Laboratories 0.774173 Guys 0.345026 babies 0.35406 percent 0.36552 Sub-Saharan Africa 0.600828 Content source 0.546008 HHS 0.383419 Association 0.339176 Hospital (Abuja) 0.814497 public health burden 0.812115 Notice 0.350111 Michigan State University 0.761751	UK 0.337962 African Region 0.594466 St. Thomas Hospital 0.751544 Sickle cell disease 0.949231 World Health Organization 0.85788 accordance 0.36633 hemoglobinopathies 0.342961 patients 0.341686 prevalent genetic disease 0.886197 severe forms 0.59075 new births 0.591029 Initiative 0.343168 Katsina State Government 0.748685 non-federal site 0.598569 SCD 0.674473 partners 0.395961 London 0.338043 programs 0.340077	CLICK HERE
8060	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Substitution Patterns Can Limit the Effects of Sugar-Sweetened Beverage Taxes on Obesity - CDC	Dramatic increases in obesity and sugar-sweetened beverage consumption over the past several decades have become major public health and clinical concerns. Obesity rates tripled in 30 years, and sugar-sweetened beverage consumption among children more than doubled in the last 2 decades of the twentieth century.	basic economic reasoning 0.489323 caloric beverages 0.547062 obesity rates 0.775527 Prev Chronic Dis 0.499619 soft drink tax 0.535373 soft drink calories 0.542939 caloric sweeteners 0.538428 daily beverage consumption 0.548872 potential health benefits 0.488053 sugar-sweetened beverage tax 0.533183 big taxes 0.549471 obesity reduction 0.538461 poor health outcomes 0.485813 soft drink 0.722762 weight 0.463891 high social costs 0.488336 poor dental health 0.487452 higher prices 0.482117 actual substitution patterns 0.498418 sugar-sweetened beverage taxes 0.777932 soft drink taxes 0.696831 grocery store prices 0.490402 soft drink consumption 0.566277 local taxes 0.511234 major public health 0.513598	beverage taxation legislation 0.512583 higher taxes 0.504361 compelling success story 0.490859 soft drinks 0.751452 high-calorie beverages 0.486582 studies 0.485619 sugar-sweetened beverages 0.829455 household consumption 0.48035 sugar-sweetened beverage consumption 0.875989 public health 0.687375 Tefft N. Substitution 0.521949 soft drink purchases 0.532024 high calorie beverages 0.528868 good public health 0.49322 public health measures 0.562461 substitution patterns 0.619789 obesity epidemic 0.505888 daily caloric intake 0.519882 unhealthful beverages 0.485464 Public Health Service 0.492419 sugar-sweetened beverage 0.986897 sugar-sweetened beverage taxation 0.597452 small taxes 0.549304 Associated high levels 0.481364	CLICK HERE
8507	Centers for Disease Control and Prevention	Html	en	Appendix C - 2011 BSI Guidelines - HICPAC	null			CLICK HERE
9718	Centers for Disease Control and Prevention	Html	es	Videos de Jessica - Videos - Recursos de la campaña - Consejos de exfumadores	La campaña Consejos de exfumadores muestra casos reales de personas que padecen afecciones por fumar o por la exposición al humo de segunda mano.	hijo aden 0.613748 Archivo Apple Quicktime 0.695326 Archivo RealPlayer 0.609807 Archivo Zip Comprimido 0.704239 Archivo Microsoft PowerPoint 0.726358	Archivo Adobe PDF 0.698927 Archivo Microsoft Excel 0.69688 Archivo Microsoft 0.984471 mano proveniente 0.599416 Archivo Microsoft Word 0.721837	CLICK HERE
10923	Centers for Disease Control and Prevention	Html	en	Workers Without Paid Sick Leave May Skip Cancer Screening Tests	Lack of paid sick leave can prevent people from getting the health care services they need.	data 0.408891 Berkowitz 0.408525 National Health Interview 0.548273 office 0.40747 family member 0.446695 significant difference 0.440976 health care benefits 0.515143 percentage 0.40788 Colorectal cancer screening 0.480522 professional workers 0.446235 low-paying jobs 0.437366 Soman 0.407484 Pap test 0.471497 health care services 0.467438 BMC Public Health 0.471571 Health Interview Survey 0.54824 cervical cancer 0.477224 medical care-seeking 0.437935 lack 0.42725 fecal occult blood 0.478478 person 0.414751 small difference 0.440365 Peipins 0.410418 job 0.447136 managers 0.408159	women 0.439269 White MC 0.440091 study 0.425302 cancer screening 0.564495 United States 0.482615 Working women 0.43923 adults 0.408866 sick leave 0.971316 medical needs 0.446247 mammogram 0.410155 workers 0.529453 colonoscopy 0.409639 Breast cancer screening 0.475384 production jobs 0.4424 smaller companies 0.443591 medical care 0.43871 doctor 0.407475 paid sick leave 0.630734 Cervical cancer screening 0.475811 major influence 0.438675 responses 0.408385 91.9 0.407626 clinic 0.407467 time workers 0.45142	CLICK HERE
10933	Centers for Disease Control and Prevention	Html	en	Lung Cancer Diagnosis and Treatment	Breast cancer is treated in several ways. It depends on the kind of breast cancer and how far it has spread.	medicines 0.206087 Lung Cancer Treatment 0.331409 lung surgery 0.250951 standard treatments 0.20655 cancer cells 0.248123 standard cancer treatments 0.237196 non-small cell lung 0.716584 lung cancer 0.930426	new treatment options 0.227747 cell lung cancer 0.862118 doctors 0.225301 small cell lung 0.683621 radiation therapy 0.296755 National Cancer Institute 0.246551 alternative medicine 0.329554	CLICK HERE
11775	Centers for Disease Control and Prevention	Html	en	Texas Reports Positive Test for Ebola in a Health Care Worker | Media Statement	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	potential exposures 0.373838 CDC 0.367122 health monitoring 0.344891 fever develop 0.404326 Texas Presbyterian Hospital 0.966869 State Health Services 0.942686 proper public health 0.56275 appropriate patient notification 0.567788 wider spread 0.36394 preliminary positive result 0.596856 Disease Control 0.377839 ongoing contact 0.341441 direct contact 0.341424 incubation period 0.563135 index patient 0.823726	greater Dallas community 0.564314 Confirmation testing 0.377425 Prevention’s laboratory 0.369697 confirmatory tests 0.340782 healthcare worker 0.687088 low grade fever 0.664887 health care worker 0.618641 immediate isolations 0.386562 bodily fluids 0.365073 sick person 0.343855 preliminary tests 0.414182 symptoms 0.273755 initial report 0.400622 Texas Department 0.60915	CLICK HERE
12000	Centers for Disease Control and Prevention	Html	en	A Toolkit for Long-Term Care Employers: Increasing Influenza Vaccination among Healthcare Personnel in Long-term Care Settings	A Toolkit for Long-Term Care Employers: Increasing Influenza Vaccination among Health Care Personnel in Long-term Care Settings - CDC	access 0.265808 agency 0.266495 importance 0.289778 resources 0.267182 long-term care facility 0.837589 comprehensive toolkit 0.657659 influenza vaccination 0.947061 corporation owners 0.575508	email feedback 0.575122 input 0.28862 number 0.267354 employer 0.305756 workforce 0.312487 employees 0.26366 workers 0.264691	CLICK HERE
13343	Centers for Disease Control and Prevention	Html	en	Preventing Melanoma | Vital Signs	CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics.	skin cancer 0.960411 UV rays 0.524969 Task Force 0.511125 skin cancer prevention 0.724342 Mortality Weekly Report 0.504379 Indoor tanning exposes 0.540148 recreation areas 0.516334 providers counsel people 0.508707 common form 0.467459 Melanoma Incidence 0.54934 Preventive Services Task 0.505779 melanoma skin cancers 0.64193 community skin cancer 0.550442 skin color 0.488371 shade structures 0.467681 melanoma 0.690844 Signs Issue details 0.504704 additional prevention efforts 0.516792 Affordable Care Act 0.504677 sun protection 0.646875 life expectancy 0.464993 mass media campaigns 0.502162 sun safety 0.51872 major role 0.464041 annual treatment costs 0.509899	new cases 0.470692 childcare centers 0.520988 broad-spectrum sunscreen 0.485036 public spaces 0.514863 lighter skin 0.4876 Melanoma skin cancer 0.655401 deadly form 0.467806 skin protection 0.569827 Provide sun protection 0.520443 community prevention programs 0.532676 protective clothing 0.508542 cancer prevention efforts 0.528388 indoor tanning 0.809475 annual cost 0.517221 Melanoma Survivor 0.546663 new melanoma patients 0.613056 public pools 0.516209 non-Hispanic white women 0.511289 protective clothing outdoors 0.495772 policy makers 0.463308 new melanoma cases 0.640941 Promote sun protection 0.61737 Community Preventive Services 0.581396 UV exposure 0.513261	CLICK HERE