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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1208	Centers for Disease Control and Prevention	Html	en	Helping Children with Congenital CMV | CDC Features	Help children with congenital CMV infection develop to their full potential.	congenital CMV develop 0.431485 health problems 0.240817 congenital CMV 0.94481 congenital CMV infection 0.765381	CMV infection develop 0.328942 congenital cytomegalovirus 0.242751 congenital CMV disease 0.471341	CLICK HERE
1246	Centers for Disease Control and Prevention	Html	en	Prevalence of Nodding Syndrome — Uganda, 2012–2013	Preetha J. Iyengar, MD1, Joseph Wamala, MD2, Jeffrey Ratto, MPH3, Curtis Blanton, MS3, Mugagga Malimbo, MS2, Luswa Lukwago, PhD2, Steven Becknell, MPH4, Robert Downing, PhD4, Sudhir Bunga, MD3, James Sejvar, MD5, Issa Makumbi, MD2 (Author affiliations at end of text).	case definition modifications 0.500425 NS symptoms 0.566105 sexual development 0.504658 probable case definition 0.593574 head nodding frequency 0.561803 NS questions 0.544328 consensus case definition 0.838975 simple random sampling 0.469166 International Scientific Meeting 0.47303 probable NS cases 0.919869 Preetha J. Iyengar 0.543113 Nodding Syndrome 0.49141 village health teams 0.476907 NS cases 0.928452 central meeting point 0.470332 population-based prevalence assessment 0.503144 children 0.491047 future studies 0.475175 probable cases 0.529696 target sample size 0.469236 northern Uganda districts 0.501223 nodding episode 0.490429 NS investigations 0.580984 major criterion 0.503728	northern Ugandan districts 0.538567 head nodding cases 0.551746 atonic seizures 0.478287 head nodding 0.610453 South Sudan 0.565034 episodic head nodding 0.548266 Global Health 0.482387 meeting point 0.472454 repetitive involuntary drops 0.470855 additional seizure types 0.479021 minor criterion 0.592862 standardized case definition 0.525604 Statistics census data 0.473743 single-stage cluster 0.483612 persons 0.480658 standardized questionnaire 0.475338 single-stage cluster survey 0.478205 case definition 0.967651 possible NS cases 0.596496 NS prevalence 0.562597 health-care resources 0.478844 census survey data 0.474575 seizure disorder 0.478846	CLICK HERE
6391	Centers for Disease Control and Prevention	Html	en	Antibiotics Aren't Always the Answer: Chart | CDC Features	Antibiotics do not fight infections caused by viruses like colds, most sore throats and bronchitis, and some ear infections. Unneeded antibiotics may lead to future antibiotic-resistant infections. Symptom relief might be the best treatment option.	antibiotic 0.445499 list Skip 0.800409 Return 0.361604 strep throat 0.646253 page options Skip 0.94353 runny nose 0.61036 bronchitis 0.37259 Viruses 0.368405 bacterial infections 0.609491 middle ear 0.557897	Feature 0.354848 virus 0.350834 navigation Skip 0.805141 flu 0.362397 healthcare 0.348559 whooping cough 0.607563 Viral illnesses 0.602672 sore throat 0.617175 chest cold 0.553652 fluid 0.351098	CLICK HERE
9057	Centers for Disease Control and Prevention	Html	en	Trichuriasis - Parasites - Whipworm (FAQs)	A parasite is an organism that lives on or in a host and gets its food from or at the expense of its host. Parasites can cause disease in humans.	soil-transmitted helminth infections 0.544949 health care provider 0.944884 Roundworm infection 0.407782 distinctive whip-like shape 0.55938 painful passage 0.367523 school-age children 0.487775 preschool children 0.351911 drug distributors 0.34902 entire risk groups 0.471754 pregnant women 0.470281 infected person defecates 0.537084 soil-transmitted helminths 0.364379 adult worms 0.386812 Health care providers 0.508554 prior stool examination 0.518399 heavy infections 0.538701 World Health Organization 0.495757 acrid smell 0.389084 school-health programs 0.353917 Trichuris trichiura 0.422823 temperate climates 0.387811 growth retardation 0.535452 whipworm eggs 0.754615 Whipworm infections 0.606039 river blindness 0.353092	lymphatic filariasis 0.363715 mass drug administrations 0.491595 intestinal disease 0.404084 high risk 0.357263 heavy infection 0.385294 human feces 0.426278 Ascaris 0.280702 intestine 0.291096 preventive treatment 0.511001 Rectal prolapse 0.382899 vegetables 0.259512 preventive chemotherapy 0.372197 high-risk groups 0.359659 intestinal parasite 0.404592 stool sample 0.401754 higher risk 0.355356 hookworm 0.281773 light infections 0.413949 health clinics 0.363389 humid climates 0.394709 tropical diseases 0.503032 cases growth retardation 0.509435 cognitive development 0.357906 infected persons 0.396293	CLICK HERE
9344	Centers for Disease Control and Prevention	Html	es	La incidencia y carga económica de la amputación isquémica en Minnesota, 2005-2008	null	Baumgartner I 0.913865 9.a edición 0.825766 Oldenburg NC 0.874249 altas hospitalarias 0.890197 arteriopatía periférica 0.826245 Jaff MR 0.950692	Keo HH 0.915969 Duval S 0.895899 alto costo 0.778269 altas tasas 0.820533 alta tasa 0.759753 Chronic Dis 0.91087	CLICK HERE
10187	Centers for Disease Control and Prevention	Html	en	Radiation Emergencies | Resource Library - Countermeasures	Resource Library materials for the Radiation Studies Branch. Focused on information around medical treatments or countermeasures related to radiation emergencies. Provided by the Centers for Disease Control and Prevention (CDC).	better understanding 0.354902 CDC 0.282394 link 0.230471 Strategic National Stockpile 0.520002 description 0.229343 Click 0.2318 type 0.232727 radiation exposure 0.730169 internal contamination 0.468483 American public 0.358196 Image file 0.35336 radioactive material 0.390494 Neupogen® 0.232293 large quantities 0.369813 training module 0.34852 prussian blue 0.498203	Blue Works 0.352778 clinicians 0.234509 public health emergency 0.480259 protective actions 0.350643 treatment Filgrastim 0.376331 KI 0.278111 potassium iodide 0.809918 PDF file 0.354528 medical treatments 0.483621 medical countermeasures 0.606822 medical supplies 0.361204 radiation emergency 0.427781 possible side effects 0.358375 Cutaneous Radiation Injury 0.90281 possible health effects 0.458426 information 0.357505	CLICK HERE
10602	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Using a Health Informatics System to Assess Effect of a Federal Cigarette Tax Increase on Readiness to Quit Among Low-Income Smokers, Louisiana, 2009 - CDC	Health informatics systems are a proven tool for tobacco control interventions. To address the needs of low-income groups, the Tobacco Control Initiative was established in partnership with the Louisiana State University Health Care Services Division to provide cost-effective tobacco use cessation services through the health informatics system in the state public hospital system.	tobacco use cessation 0.50604 substantial tax increase 0.48257 cigarette tax price 0.492422 tobacco tax increase 0.55834 State University Health 0.53218 tax increases 0.491876 public hospital 0.55096 Tobacco control state 0.49181 control policy change 0.480489 health care delivery 0.486003 federal tobacco control 0.528044 state public hospital 0.492302 tobacco excise tax 0.498137 tobacco 0.678963 health informatics 0.543419 tax affects smokers 0.512318 African American smokers 0.516499 clinical practice guideline 0.507146 University Health Care 0.501708 cessation services 0.555309 tobacco products 0.504795 cigarette tax increase 0.751199 federal tax increase 0.553007 low-income tobacco users 0.533959 smoking cessation 0.503913	effect 0.496242 tobacco products rises 0.490774 statewide tobacco control 0.489325 Health Care Services 0.505239 readiness 0.641074 tax increase 0.91033 smokers 0.60046 LSU HCSD 0.493493 Louisiana State University 0.525248 tobacco control policy 0.525288 Care Services Division 0.490349 Louisiana smokers 0.49512 health care 0.595402 public health 0.487152 Health informatics systems 0.496572 adult smokers 0.483164 federal cigarette tax 0.564771 tobacco control program 0.506577 tobacco control policies 0.485025 increased tobacco taxes 0.480634 tobacco control interventions 0.539792 clinic visit 0.480288 commercial insurance 0.505291 Tobacco Control Initiative 0.537147	CLICK HERE
11821	Centers for Disease Control and Prevention	Html	en	CDC Telebriefing: CDC update on Ebola Response, 10-15-2014 | Transcript	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	frontline health care 0.262081 government Ebola response 0.25899 CDC 0.25111 SYLVIA BURWELL 0.36727 site manager 0.282302 public health authority 0.247973 public health authorities 0.246884 homeland security 0.24221 extra margins 0.261239 health care team 0.263819 ongoing clinical decision 0.241111 press star 0.262018 low grade fever 0.242584 personal protective equipment 0.349412 tom frieden 0.547904 patient care 0.245629 secretary burwell 0.351749 public transportation 0.253447 Texas state lab 0.240233 symptoms 0.24095 Mr. Duncan 0.309453 public transport 0.24016 care worker number 0.251167 Ebola patients 0.240589 Ebola 0.294471	additional health care 0.258248 care worker case 0.28615 Texas Presbyterian Hospital 0.248272 Sylvia Matthews Burwell 0.264195 patient 0.287277 Holly 0.288352 index patient 0.247295 health care workers 0.738649 Dr. Tom Frieden 0.290403 hospital 0.285408 highest risk period 0.241906 health care 0.901818 Director Frieden 0.266049 extensive contact 0.241927 health care worker 0.776372 question 0.348857 people 0.252629 local public health 0.278233 tom skinner 0.642661 Director Dr. Frieden 0.271262 OPERATOR 0.293389 West Africa 0.297737 risk 0.244729 Dr. Frieden 0.340165	CLICK HERE
13628	Centers for Disease Control and Prevention	Html	en	Gynecologic Cancer Awareness Feature	Learn about the five main kinds of gynecologic cancer: cervical, ovarian, uterine, vaginal, and vulvar. When gynecologic cancers are found and treated early, treatment works best.	12-year-old girls 0.41536 sexually transmitted infection 0.506216 vulvar cancer 0.454852 gynecologic cancer 0.787341 HPV types 0.459032 Knowledge 0.344525 gynecologic cancers 0.962089 vaginal bleeding 0.444612 talk 0.341547 Pap test 0.814244 Gynecologic Cancer campaign 0.635017 ovarian cancer 0.551332 HPV test 0.453488 Pap test screens 0.548104 general U.S. population 0.491109 cervical cancer 0.770923 PSAs 0.328967 public service announcements 0.514634 BRCA gene mutation 0.490564 human papillomavirus 0.420143 BRCA genes 0.479808 women 0.509547 woman 0.323025 print materials 0.418003 United States 0.419924	HPV vaccine 0.465478 survivor stories 0.415775 HPV 0.479775 genetic counseling 0.40505 risk increases 0.429198 screen women 0.409739 ovarian cancer risk 0.543195 treatment works 0.407454 main types 0.527991 cervix 0.323855 unexplained signs 0.417191 person’s risk 0.398816 young men 0.411347 HPV tests 0.448296 unclear Pap test 0.54395 Facts 0.321401 doctor 0.367926 HPV infection 0.450086 screening test 0.408257 family history 0.406101 vulvar cancers 0.603768 cell changes 0.405384 breast 0.333332 reproductive organs 0.423452	CLICK HERE
14245	Centers for Disease Control and Prevention	Html	en	Health Care, Family, and Community Factors Associated withMental, Behavioral, and Developmental Disorders in Early Childhood- United States, 2011-2012 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	sociodemographic factors 0.53375 oppositional defiant disorder 0.547424 parental mental health 0.521855 mental health 0.569052 early childhood health 0.52543 early childhood MBDDs 0.511263 health care provider 0.585581 Child Health Bureau 0.492673 health care factors 0.536081 mental health indicators 0.484415 poor condition 0.491936 children 0.643095 U.S. children 0.557909 optimal child development 0.51334 autism spectrum disorder 0.541165 health care providers 0.49823 parent report 0.522046 medical home 0.719631 paternal mental health 0.485222 illness health care 0.513276 accessible health care 0.513258 poor mental health 0.492332 public health practice 0.496936 early childhood 0.775262 significant health care 0.509072	public health strategies 0.483344 neighborhood 0.512665 Tourette syndrome 0.513176 public health impact 0.483349 quality health care 0.512284 specific factors 0.496639 Children’s Health 0.498274 federal poverty level 0.492885 language problems 0.50724 community factors 0.674855 maternal mental health 0.523227 poorer health outcomes 0.481196 mental health prevalence 0.507594 child care issues 0.494486 developmental disorders 0.501466 health care 0.936772 public health 0.570465 fewer health risk 0.490383 MBDDs 0.543246 attention-deficit/hyperactivity disorder 0.482981 child health 0.511344 child care problems 0.62711 preventive medical care 0.510017 adverse health conditions 0.481976	CLICK HERE