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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4728	Centers for Disease Control and Prevention	Html	en	Breastfeeding: Data: Breastfeeding Report Card | DNPAO | CDC	null	community members 0.342381 CDC Breastfeeding Report 0.735557 public health practitioners 0.466011 key community settings 0.446131 breastfeeding practices 0.540649 interactive tool 0.319451 latest rates 0.323935 variety 0.219206 child care providers 0.467359 Trends 0.247966 Healthy People 0.332037 Card indicators measure 0.454667 obesity 0.22431 goals 0.221083 National Immunization Survey 0.664883 health professionals 0.344178	family members 0.343264 U.S. infants 0.328506 types 0.221295 Immunization Survey data 0.468854 DNPAO National Immunization 0.465636 state-specific data 0.440703 Breastfeeding Report Card 0.90573 Indicator Category 0.329581 view statistics 0.321104 Survey web page 0.433228 physical activity 0.318631 breastfeeding data 0.568352 support 0.219847 state-level data 0.377912 current data 0.348232 Maps database 0.327017	CLICK HERE
7327	Centers for Disease Control and Prevention	Html	en	Muscular Dystrophy - Duchenne/Becker Muscular Dystrophy (DBMD) - Data and Statistics	null	Becker muscular dystrophy 0.804168 Romitti PA 0.243084 United States 0.202496 DBMD 0.292806 DBMD ages 0.270801 Meaney FJ 0.200646 Fox DJ 0.330828 oldest males 0.267511 muscular dystrophy 0.964714 Duchenne muscular dystrophy 0.665046 non-hispanic black males 0.426479 DMD 0.270966 average age 0.214067 probable Duchenne 0.241329 MD STARnet sites 0.337418	Research Network 0.229992 genetic testing results 0.255654 MD STARnet 0.670861 Non-Hispanic blacks 0.219054 Non-Hispanic whites 0.217904 males 0.584118 Muscular Dystrophy Surveillance 0.419564 Becker muscular dystrophies 0.265398 steroid treatment 0.233162 non-Hispanic white males 0.426107 medical record 0.232341 MD STARnet case 0.239651 non-Hispanic white children 0.254617 Duchenne/Becker muscular dystrophy 0.304647	CLICK HERE
7611	Centers for Disease Control and Prevention	Html	en	Years of Potential Life Lost from Unintentional Injuries Among Persons Aged 0-19 Years - United States, 2000-2009	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.	injury prevention programs 0.391293 motor vehicle traffic 0.447481 unintentional injuries 0.928281 South Central states 0.459102 premature injury death 0.398255 annual population estimates 0.387437 YPLL rate 0.503049 national YPLL rate 0.414903 injury–related crude mortality 0.450827 YPLL rates 0.512102 transport-related injuries 0.404343 National Vital Statistics 0.466153 unintentional firearm 0.43048 unintentional injury–related crude 0.524368 injury prevention strategies 0.524096 Nagesh N. Borse 0.440291 Unintentional Injury Prevention 0.474342 persons 0.526657 lowest YPLL rates 0.405284 crude mortality rate 0.449419 Childhood Injury Prevention 0.427331 pedestrian injuries 0.397265 Unintentional injury deaths 0.494777 suffocation injuries 0.416016 United States 0.573068	potential life 0.480326 age group 0.408696 100,000 0.400459 injury mechanism 0.42389 premature death 0.391274 motor vehicle 0.523679 YPLL rate calculations 0.41545 highlights childhood causes 0.387299 5-year age groups 0.391076 multiple cause 0.387289 injury prevention 0.589242 local health departments 0.43696 highest YPLL rates 0.404371 Unintentional childhood injuries 0.521098 adjacent states 0.39029 South Dakota 0.43105 Mountain states 0.391692 5-year age 0.391216 young persons 0.43718 simple method 0.390021 nonfatal injuries 0.441237 American Indian/Alaska Native 0.464873 death files 0.395018 National Action Plan 0.425231	CLICK HERE
8134	Centers for Disease Control and Prevention	Html	en	Preconception Care, Health Professionals, Women, Health Promotion	null	high waist circumference 0.614678 moderate weight loss 0.617469 Health Professionals 0.570565 health promotion activities 0.633888 substantial weight loss 0.610926 neural tube defects 0.705343 additional iron sources 0.603917 additional health benefits 0.610914 major muscle groups 0.603507 thromboembolic disease 0.56529 brief cessation advice 0.597785 Folic acid supplementation 0.610317 fortified foods 0.599507 preconception clinical content 0.601598 Health care providers 0.609369 long-term risks 0.575939 preterm delivery 0.56414 BMI 0.62771 STI risks 0.575992 folic acid daily 0.608706 synthetic folic acid 0.681829 substantial health benefits 0.61381 risk factors 0.558404 consuming foods 0.563224	reproductive age 0.701023 weight loss 0.617567 healthy weight 0.561611 reproductive life plan 0.946689 Life Plan Tool 0.722186 aerobic physical activity 0.715744 risky drinking behaviors 0.600276 cesarean section 0.562946 vitamin C-rich foods 0.609146 risks 0.585634 vigorous-intensity aerobic activity 0.622845 low BMI 0.598143 future pregnancies 0.624165 physical activity patterns 0.617157 prolonged period 0.561415 medical decision-making 0.566379 treatment options 0.56206 emergency contraception 0.567962 long term 0.567654 body image 0.558361 obese patients 0.566845 nutrient-dense foods 0.566683 healthy eating pattern 0.595508	CLICK HERE
8996	Centers for Disease Control and Prevention	Video	en	CDC: Tips from Former Smokers -- Brandon's Story	Brandon describes losing his foot, fingers, and other body parts to Buerger's disease, a disorder linked to smoking, and testifies to the strength of addiction in this video from CDC's "Tips From Former Smokers" campaign. Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html This video can also be viewed at http://streaming.cdc.gov/vod.php?id=f81f096f08347a536dfa06c2779eb30720120516153728421 To learn more about tobacco control and prevention, go to BeTobaccoFree.gov	Smokers 0.932887 CDC 0.92604	Brandon 0.830424 YouTube 0.871802	CLICK HERE
11518	Centers for Disease Control and Prevention	Html	en	NCIRD | DBD Bulletin Summer 2012 | ABCs	Division of Bacterial Diseases Bulletin Summer 2012	ABCs Project Director 0.72788 legionellosis surveillance 0.362256 ABCs pathogens 0.78346 intrauterine device insertion 0.356847 pertussis epidemic 0.316529 respiratory bacterial diseases 0.371112 Bacterial Core surveillance 0.472497 high impact studies 0.365359 vaccine efficacy 0.312663 Haemophilus influenzae 0.442088 surveillance catchment area 0.443003 meningococcal vaccines 0.3044 disease prevention 0.305173 ABCs Surveillance Officers 0.952183 Melony Fortuin-de Smidt 0.380401 ABCs sites 0.63055 laboratory-based surveillance 0.379924 invasive bacterial diseases 0.402706 pneumococcal conjugate vaccine 0.387929 public’s health 0.321675 historical reasons 0.301061 special studies 0.357182 ABCs methods 0.657246	early-onset GBS traceback 0.380542 culture independent diagnostics 0.36079 epidemiologic characteristics 0.406063 vaccine development 0.313517 Healthiest Center CIO 0.365732 pertussis vaccines 0.331947 ABCs data 0.661779 pneumococcal data 0.307526 national policy considerations 0.374636 Bordetella pertussis 0.335845 Meningeal disease Surveillance 0.458839 Preliminary data 0.302797 ABCs 0.990137 various media forums 0.355594 Streptococcus pneumoniae 0.308781 pertussis surveillance 0.393343 disease incidence 0.34248 Methicillin-resistant Staphylococcus aureus 0.39576 streptococcal infections 0.302583 South Africa 0.369515 health communication technology 0.381217 early onset disease 0.374013	CLICK HERE
12173	Centers for Disease Control and Prevention	Html	en	Meningitis | Lab Manual | Biosafety | CDC	Biosafety Lab Manual for Meningitis Lab Methods.	laboratory areas 0.61735 disposable materials 0.617695 General laboratory cleanliness 0.635091 properly equipped laboratory 0.664048 Laboratory Biosafety Guidelines 0.678461 Disease Control 0.616042 S. pneumoniae infections 0.608601 infectious organisms 0.618872 infectious agents 0.764059 Biosafety Level 0.611807 proper biosafety training 0.656345 laboratory procedures 0.617781 Laboratory coats 0.642678 biosafety cabinet 0.726815 appropriate biosafety procedures 0.6699 Waste disposal containers 0.659094 potentially infectious items 0.657665 effective general disinfectant 0.646238 infectious materials 0.958894 occupationally acquired infections 0.663689 body fluids 0.657287 Special disposal containers 0.604973 laboratory 0.920776 laboratory-acquired meningococcal infection 0.603069	disinfectant labels 0.600295 sealable sharps containers 0.605074 infectious material 0.824449 household bleach 0.617767 laboratory worker 0.610842 Laboratory Standards Institute 0.687995 laboratory workers 0.653617 affected area 0.641003 laboratory work 0.687175 potentially hazardous procedures 0.611256 clinical specimens 0.658463 gloves 0.633153 hazardous materials 0.60808 laboratory-acquired H. influenzae 0.607954 infectious aerosols 0.613891 ethyl alcohol 0.643823 laboratory doors 0.601499 hand washing 0.623055 infectious waste 0.618465 protective clothing 0.643871 splatter guards 0.601564 laboratory work areas 0.664828 contaminated materials 0.599956 laboratory-acquired infections 0.647657	CLICK HERE
13003	Centers for Disease Control and Prevention	Html	en	Symptoms | Chikungunya virus | CDC	Information on Chikungunya virus. Provided by the U.S. Centers for Disease Control and Prevention.	future infections 0.449937 mosquito bites 0.469387 death 0.327421 additional medication 0.438108 blood tests 0.432984 fever 0.325633 chikungunya virus 0.961183 Chikungunya disease 0.66154 navigation Skip 0.519208 Zika 0.352849 similar viruses 0.433867 muscle pain 0.464078 joint swelling 0.453933 heart disease 0.439761 medical condition 0.433333 aspirin 0.32955 dehydration 0.331582 mosquitoes 0.331794 area 0.325675 list Skip 0.522575 page options Skip 0.658069 patients 0.329246 birth 0.326688 diseases 0.32599	non-steroidal anti-inflammatory drugs 0.560643 medicine 0.341392 newborns 0.331379 plenty 0.326666 joint pain 0.59225 people 0.450337 dengue 0.429952 common symptoms 0.453975 infected person 0.496232 symptoms 0.509643 rash 0.334344 infected mosquito 0.686787 acetaminophen 0.336568 vaccine 0.326814 healthcare provider 0.819536 high blood pressure 0.560187 medical conditions 0.441233 NSAIDS 0.335159 older adults 0.444912 severe disease 0.443427 risk 0.35255 Drink fluids 0.43816 headache 0.330204	CLICK HERE
15332	Centers for Disease Control and Prevention	Html	en	Motor Vehicle Crash Deaths | VitalSigns	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.	great public health 0.630669 car seat 0.712177 major risk factors 0.608381 booster seat 0.71973 20th century 0.567768 high—income countries* 0.563794 MV PICCS 0.556126 comparison countries 0.685465 size-appropriate car seats 0.62843 risk factors 0.622929 direct medical costs 0.722438 Support traffic safety 0.603899 Police officers 0.559887 crash deaths 0.990686 motor vehicle safety 0.617856 booster seats 0.675968 car seats 0.668743 safe teen driving 0.607207 population size 0.55818 crash death rate 0.687055 New Zealand 0.56321 View large image 0.609496 impaired driving 0.56818 high—income countries 0.57127 Motor Vehicle Prioritizing 0.614985	Lower death rates 0.621596 seat belts 0.739706 high-income countries 0.71647 Obey speed limits 0.729701 cell phone 0.620922 motor vehicle 0.777901 motor vehicle injury 0.618714 vehicle crash deaths 0.772238 registered vehicles 0.561083 pre-set low limit 0.610104 drunk driving 0.686149 text description 0.559679 federal partners 0.558763 United Kingdom 0.622323 Zero—a road safety 0.602567 lower BAC levels 0.615541 define drunk driving 0.612882 visible police presence 0.599264 average rate 0.562187 seat belt 0.918047 highest death rate 0.614677 enforcement seat belt 0.717071 high percentage 0.56533 motor vehicle crashes 0.644561	CLICK HERE
15821	Centers for Disease Control and Prevention	Html	en	Diabetes | At A Glance Reports | Publications | Chronic Disease Prevention and Health Promotion	The Centers for Disease Control and Prevention (CDC) is working to reverse the US diabetes epidemic by tracking disease trends, focusing on prevention, identifying effective treatments, and improving medical care.	diabetes prevention 0.798839 health care spending 0.605595 CDC 0.60108 Diabetes complications 0.734948 national prediabetes awareness 0.585163 type 0.638979 large city health 0.585376 lower blood sugar 0.587137 National Diabetes Prevention 0.753853 health care team 0.600261 diabetes goals 0.697887 diabetes registries 0.694792 ease health disparities 0.588274 health care providers 0.592317 risk factors 0.617562 following risk factors 0.589963 blood vessels 0.58258 blood sugar levels 0.732597 diabetes accounts 0.737639 High blood sugar 0.662751 pregnancy-induced high blood 0.591781 diabetes education 0.708984 Diabetes Surveillance 0.696544 diabetes prevention programs 0.736097 care system interventions 0.578488	chronic kidney disease 0.651519 diabetes risk behaviors 0.743996 public health policy 0.589205 United States 0.588662 partners—state health departments 0.587634 kidney failure 0.622762 National DPP 0.612707 gestational diabetes 0.781861 heart disease 0.658948 health departments 0.61586 local health departments 0.584405 health care 0.752884 health care systems 0.593033 higher risk 0.586294 diabetes incidence 0.693553 Kidney Disease Surveillance 0.589961 prediabetes 0.58566 diagnosed diabetes 0.7251 people 0.651054 Chronic Disease Prevention 0.590944 better health management 0.58735 American Diabetes Association 0.730687 blood sugar 0.808374 diabetes 0.939877	CLICK HERE