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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
7580	Centers for Disease Control and Prevention	Html	en	Learn More About ADHD | CDC Features	October 14-20 is Attention-Deficit/Hyperactivity Disorder (ADHD) Awareness Week. Find out about CDC’s latest research and read a personal story of one mother’s experience.	effective approach 0.417444 CDC 0.47258 American Academy 0.425189 right resources 0.405498 individuals 0.327356 effective treatment 0.436819 education credits 0.410054 potential barriers 0.4098 accurate diagnosis 0.547337 awareness 0.415565 children 0.925826 school 0.349992 young children 0.859408 Attention-Deficit/Hyperactivity Disorder 0.424521 disruptive behaviors 0.424785 knowledge 0.383878 treatment patterns 0.417838 expert webinars 0.541334 community 0.353234 Behavioral Health 0.412947 adulthood 0.328959 parent training 0.67056 symptoms 0.412975 parents 0.342965 healthcare providers 0.408919	ADHD 0.981661 behavior therapy 0.412018 professionals 0.433803 NRC’s information 0.420078 AAP’s recommendation 0.424425 states 0.383083 good options 0.416868 trouble 0.350808 common neurodevelopmental disorders 0.553889 behavior 0.436641 right care 0.490862 National Resource Center 0.51191 Treatment recommendations 0.421512 therapy 0.436618 medication 0.377805 right treatment 0.489018 families 0.411916 psychological services 0.414397 National Council 0.41061 treatment options 0.754141 education professionals 0.401351 step 0.383699 time 0.349071 clinical providers 0.408825	CLICK HERE
8523	Centers for Disease Control and Prevention	Html	en	Human Contacts with Oral Rabies Vaccine Baits Distributedfor Wildlife Rabies Management - Ohio, 2012	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.	rabies virus variant 0.479208 County Health Dept 0.392751 AdRG1.3 baits 0.482854 V-RG exposure 0.466957 potential vaccine 0.531795 V-RG bait contacts 0.576936 Neil M. Vora 0.397723 V-RG fishmeal polymer 0.462564 oral rabies vaccine 0.664733 multiple baits 0.490472 U.S. Department 0.471176 recombinant vaccinia vector 0.414681 human adenovirus type 0.492869 V-RG vaccine virus 0.548969 Health Inspection Service 0.418144 rabies management programs 0.41027 oral rabies vaccines 0.433661 Raboral V-RG 0.473762 square miles 0.389846 potential vaccine exposure 0.505155 recombinant human adenovirus 0.432418 rabies virus glycoprotein 0.466666 V-RG baits 0.998284 vaccine virus exposure 0.437698 raccoon rabies virus 0.418214	higher bait densities 0.393777 potential vaccine exposures 0.46056 Ñ?ЛП Baits 0.511208 vaccine virus infection 0.533098 vaccine exposure 0.533278 United States 0.557159 human contact 0.482531 wildlife rabies 0.398952 Ohio Department 0.400386 fewer human contacts 0.390875 AdRG1.3 bait contacts 0.42017 Wildlife Services 0.450226 oral rabies 0.684102 local Ohio health 0.392187 square kilometers 0.389533 adverse events 0.461658 fox rabies virus 0.419392 Oral rabies vaccination 0.457628 new oral rabies 0.472521 canine rabies virus 0.417666 human contacts 0.763204 Ohio 0.420453 intact bait 0.393255 rabies vaccine baits 0.671819	CLICK HERE
8585	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - War Stories, Ida K. Naparstek	War Stories, The first cases of illness from the 1918 flu pandemic in the United States were reported from Fort Riley, Kansas on March 11 when an Army private became ill; complaining of fever, sore throat, and headache. Military personnel were greatly impacted by the virus and many young recruits were dead from the flu before they ever saw combat.	Ida K. Naparstek 0.655066 mass immunization practices 0.475903 J. David Naparstek 0.652809 high school 0.295322 Influenza Pandemic 0.339511 terrifying scene 0.354999 Central Massachusetts towns 0.47261 Nashoba Health District 0.909063 Fort Devens 0.356187 budget crunch 0.325919 major North-South 0.351493 test tubes 0.293468 public health committee 0.515339	polio shots 0.309314 Ayer 0.815763 civilian population 0.54612 public health 0.678137 adjacent communities 0.322534 Ayer Town Meeting 0.771248 East-West railroad lines 0.536996 gruesome scene 0.323651 Army Town 0.337698 public health experiment 0.483297 public health protection 0.498264 Nashoba’s laboratory 0.474806 well-child clinics 0.300817	CLICK HERE
9333	Centers for Disease Control and Prevention	Html	es	Análisis de costo-beneficio de la estandarización para la medición de lípidos en los Estados Unidos	null	largo plazo 0.741992 logrado gracias 0.775807	Estados Unidos 0.61472 marcada reducción 0.931058	CLICK HERE
9608	Centers for Disease Control and Prevention	Html	en	Asthma - BRFSS 2008 - Table C3 Current Asthma Prevalence Rate (Percent) and Prevalence (Number) by Age and State or Territory	BRFSS 2008 - Table C3 Current Asthma Prevalence Rate (Percent) and Prevalence (Number) by Age and State or Territory	CDC 0.392311 Table C3 Current 0.409496 Technical Information 0.381959 Child Table 0.921069 Clifton Road Atlanta 0.381366 MD 0.373937 IA 0.374935 MI 0.368263 sample size 0.389359 Tweet Share Compartir 0.426946 MN 0.368036 MO 0.366389 MS 0.371256 page options Skip 0.41239 AK 0.384128 different file formats 0.367538 10.6 0.629828 Apple Quicktime file 0.371026 Current Asthma Prevalence 0.577697 NE 0.366794 AZ 0.381498 FL 0.382013 NY 0.366503 Search Form Controls 0.597342	Self-Reported Current Asthma 0.407906 Adult Asthma Data 0.391418 file 0.543646 GA 0.421102 small sample size 0.368542 Prevalence Tables 0.399744 CA 0.384847 U.S. Total** 0.737866 Table L2 0.501526 Table 0.927823 *CI denotes confidence 0.371318 Search Controls 0.412166 KS 0.372606 )|| 0.41716 Child Table L2 0.467448 Map R1 0.368062 file formats 0.373489 KY 0.37129 CT 0.378795 Child Table C2 0.466455 Asthma Prevalence Rate 0.57456 Table C3 0.507294 confidence interval 0.407217 Table C2 0.500268	CLICK HERE
10189	Centers for Disease Control and Prevention	Html	en	Radiation Emergencies | Community Reception Center (CRC) Simulation Tools: CRC-STEP and RealOpt-CRC	Information on Community Reception Center Simulation Tools CRC-STEP and RealOpt CRC. Provided by the Centers for Disease Control and Prevention (CDC).	CRCs 0.340069 mass casualty radiation 0.908318 process 0.340887 CDC 0.369098 simulation programs 0.530542 CRC-STEP 0.326816 professionals 0.345208 emergency 0.345442 community reception centers 0.788094	planners 0.449154 people 0.344621 crucial role 0.626655 CRC models 0.576259 radioactive material 0.611605 information 0.338276 links 0.33784 population monitoring 0.557548	CLICK HERE
12221	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Prevalence of and Risk Factorsfor Adolescent Obesity in Southern Appalachia, 2012 - CDC	The objective of this study was to examine weight status among southern Appalachian adolescents and to identify risk factors for obesity. We analyzed baseline data from the Team Up for Healthy Living study in 2012. Overall, 19.8% of the sample was overweight, and 26.6% was obese. Boys had higher rates of overweight/obesity than girls (50.5% vs 42.3%). Being male (odds ratio [OR] = 1.79; 95% confidence interval [CI], 1.39–2.29), having a mother with a high school education or less (OR = 1.39; 95% CI, 1.05–1.83), or having a father with a high school education or less (OR = 1.57; 95% CI, 1.17–2.09) was associated with a higher prevalence of obesity and a higher body mass index z score (? = 0.131, 0.160, and 0.043, respectively, P < .05). Parental education could be used to identify adolescents with a higher likelihood of obesity.	obesity rates 0.542073 baseline data 0.482394 adolescent obesity 0.533643 Tennessee State University 0.690858 higher prevalence 0.519991 Southern Appalachian region 0.481998 high school education 0.838755 parental education 0.625712 BMI z scores 0.47077 obesity prevention 0.563918 rural areas 0.49257 obesity 0.942489 body mass index 0.777955 BMI z score 0.573914 healthy living 0.557311 higher body mass 0.504328 physical activity restrictions 0.456037 southern appalachian adolescents 0.662332 mother’s education 0.518504 maternal education 0.471822 outcome variable 0.48799 severe orthopedic problems 0.450497 father’s education 0.519931 family income level 0.458858	model logistic regression 0.535768 family household income 0.57381 higher likelihood 0.63917 95th percentile 0.60559 study 0.556517 Public Health 0.479281 Youfa Wang 0.44999 Study exclusion criteria 0.479639 institutional review board 0.452531 annual family household 0.578531 East Tennessee State 0.698044 Prevention growth charts 0.45559 SAS Institute 0.454979 weight status 0.539654 overweight 0.472983 paternal education 0.545974 students provided assent 0.460018 family income 0.508849 logistic mixed models 0.459951 Healthy Living study 0.497622 SAS version 0.455025 obesity risk factors 0.6523 household education level 0.49722 Lifetime Wellness classes 0.453277	CLICK HERE
12737	Centers for Disease Control and Prevention	Html	en	Vaccines: VPD-VAC/Measles/In-Short	Measles In Short: Description, Symptoms, Complications, Transmission, Vaccine, etc.			CLICK HERE
13486	Centers for Disease Control and Prevention	Html	en	Schools Start Too Early | CDC Features	Starting school later can help improve an adolescent’s health, academic performance and quality of life.	Education data 0.474337 American Academy 0.634157 School Health Policies 0.670259 mobile phones 0.450301 Practices Study 0.472705 regular bedtime 0.465495 school 0.775795 media curfew. 0.455528 main reason 0.458735 certain time 0.446455 late bedtimes 0.720411 potential increases 0.451951 school start times 0.691395 adolescents 0.898112 middle schools 0.482044 irregular bedtimes 0.579777 insufficient sleep 0.651933 better academic achievers 0.587461 unhealthy risk behaviors 0.609446 poor academic performance 0.634736 Dim lighting 0.464738 early school 0.636995 Good sleep hygiene 0.777878 high schools 0.75022 Health care 0.456786	transportation costs 0.445747 earlier CDC study 0.611932 poor sleep habits 0.798168 local school officials 0.611507 later school times 0.66302 smoking tobacco 0.449161 biological rhythms.1 0.459921 Educate adolescent patients 0.569838 biological changes 0.459829 room lighting 0.453597 sleep 0.962318 drinking alcohol 0.47546 parent-set bedtimes 0.572332 daily physical activity 0.605974 North Dakota 0.470965 illicit drugs 0.461685 commonly mentioned barriers 0.570471 video gaming 0.455283 good health 0.469891 high school students 0.694272 times results 0.469276 Sleep Medicine 0.688396 American adolescents 0.638096 health risks 0.489697	CLICK HERE
14480	Centers for Disease Control and Prevention	Html	en	FluView Weekly US Map: Influenza Summary Update	Weekly US Map: Influenza Summary Update - CDC	Influenza Diagnostic Testing 0.377832 Flu Illness 0.478205 Flu Viruses 0.533247 Flu Vaccines 0.809807 Vaccine Benefits 0.307935 Prevent Flu 0.543322 Influenza Testing Results 0.423876 Flu Good Health 0.532025 Influenza Viruses 0.425816 Seasonal Influenza Vaccine 0.756065 Quadrivalent Influenza Vaccine 0.569305 Intradermal Influenza 0.333176 Flu Activity 0.532328 Flu Adults 0.491601 Influenza Pandemic Virus 0.399282 Flu Vaccine 0.913197 (Flu) 0.81124 Influenza Types 0.375299 ) Vaccination 0.652469 Influenza Vaccines 0.468547 United States Flu 0.513672 Vaccine Safety Vaccine 0.49557 Influenza Viruses Types 0.421918 Flublok Seasonal Influenza 0.419684 Influenza Summary Update 0.501421	Vaccination Flu Vaccination 0.577317 High-Dose Seasonal Influenza 0.421861 Weekly U.S. Influenza 0.38473 Control Influenza Transmission 0.355117 Flu Antiviral Drugs 0.737547 CDC International Flu 0.511765 Prevent Flu Preventive 0.519471 Influenza Surveillance 0.34674 Seasonal Flu 0.525553 Flu Vaccine Recommendation 0.66822 Flu Treatment 0.498435 Influenza Vaccination Clinic 0.403337 Flu News 0.42905 Flu Complications 0.4594 Flu Season Flu 0.99494 Diagnosis Flu Symptoms 0.52272 Flu Vaccine Safety 0.757478 Cell-Based Flu Vaccines 0.57858 Flu Season Current 0.547727 Vaccine Effectiveness 0.324416 Flu Vaccines Work 0.590899 Influenza Vaccine Doses 0.563523 Past Flu Seasons 0.523626 Influenza 2015-2016 Season 0.413625	CLICK HERE