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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4756	Centers for Disease Control and Prevention	Html	en	Quality of systematic reviews of observational nontherapeutic studies.	null	Sharma P. Meta-analysis 0.344548 coronary artery disease 0.298316 internal quality evaluation 0.770174 quality assessment 0.304744 Ann Intern Med 0.319347 observational nontherapeutic studies 0.485776 observational studies 0.444455 core clinical journals 0.366682 risk factors 0.381838 individual studies 0.35963 Whitehead A. Meta-analysis 0.360672 public health practice 0.296353 J. Meta-analysis 0.363127 systematic reviews differs 0.399418 cohort studies 0.339073 Biederman J. Meta-analysis 0.349786 Obstet Gynecol 0.318621 eligible systematic reviews 0.395823 included studies 0.316862 Jansen S. Quality 0.297455 nontherapeutic observational studies 0.320997 various quality criteria 0.300364 epidemiologic studies 0.315411 comprehensive internal quality 0.316849 abstracted quality criteria 0.311433	Harvey J. Meta-analysis 0.356698 phenotype-specific meta-analysis 0.330731 studies 0.572894 formal internal quality 0.540036 public health 0.474581 interventional studies 0.300686 prospective cohort studies 0.338148 study flow 0.304495 studies examined levels 0.298235 meta-analysis 0.580203 Arch Intern Med 0.609765 systematic review 0.533428 risk factor 0.352173 high-quality systematic reviews 0.42528 internal quality evaluations 0.404406 methodologic quality 0.304557 quality criteria 0.402732 interventional therapeutic studies 0.301484 prospective studies 0.31751 et al 0.538282 multiple systematic reviews 0.401 coronary heart disease 0.560466 reviews abstracted sponsorship 0.307049 systematic reviews 0.960267	CLICK HERE
5051	Centers for Disease Control and Prevention	Html	en	Preventing Weight Gain	If you're currently at a healthy weight, you're already one step ahead of the game. To stay at a healthy weight, it's worth doing a little planning now. Learn more.	foods 0.348965 people age 0.421357 shift 0.324508 Page 0.322618 type 0.323464 little planning 0.441844 body composition 0.422625 healthy eating plan 0.572037 visit Physical Activity 0.508929 active lifestyle 0.413527 case 0.325588 addition 0.34751 height 0.322914 weight management 0.437731 weight 0.968986 healthy eating 0.572174 healthful eating plan 0.554952 activity level 0.616333 higher risks 0.422436 reasonable goals 0.411457 person 0.340998 metabolism 0.325302 poor food choices 0.49807 good eating habits 0.547946 body burns 0.413157	game 0.326259 proportion 0.356249 osteoarthritis 0.326538 weight gain 0.815003 muscle decreases 0.434827 good news 0.423961 food diary 0.40881 regular basis 0.414488 heart disease 0.427551 daily physical activity 0.535444 fat increases 0.429292 Regular physical activity 0.512351 current weight 0.44621 chronic diseases 0.541187 better food choices 0.498636 healthy weight 0.792235 calories 0.395074 physical activity 0.968364 appropriate number 0.417106 high blood pressure 0.531225 worthy goal 0.434548 step 0.35103 cancer 0.323402 small weight gains 0.528479	CLICK HERE
6382	Centers for Disease Control and Prevention	Html	en	Resources for Pandemic Flu	CDC’s pandemic preparedness efforts include ongoing surveillance of human and animal influenza viruses, risk assessments of influenza viruses with pandemic potential.	list Skip 0.676355 hospital administrators 0.544947 Pandemics 0.449237 influenza pandemic 0.985601 seasonal influenza 0.717228 United States 0.669775 page options Skip 0.812379 local health officials 0.658554 new flu virus 0.657441	global outbreak 0.567517 people 0.451552 navigation Skip 0.677551 way 0.426528 CDC influenza programs 0.842946 MB 0.4327 person 0.459149 emerge 0.441057	CLICK HERE
6772	Centers for Disease Control and Prevention	Html	en	Global Health - Dr. Frieden visits Kenya	In Kenya, the CDC is addressing the region's toughest health problems at their source, directly working with vulnerable families and communities in local hospitals, clinics, and laboratories.	clean water 0.639522 significant challenges 0.661899 productive lives 0.637284 Laboratory Training Program 0.746511 previous post 0.629796 basic health services 0.825254 AIDS Relief 0.631315 urban slum 0.667523 adequate nutrition 0.6496 public health systems 0.79731 excellent value 0.625981 global health 0.681149 Emergency Plan 0.637849 Epidemic Intelligence Service 0.745475 highly vulnerable populations 0.757302 important information 0.6436 public health leaders 0.797992 rural western Kenya 0.974813 U.S. government agencies 0.747986 Kenya Medical Research 0.928549 ongoing challenges 0.659056 young teacher 0.638799 Demographic Surveillance 0.637878 FELTP model 0.632425 Poor health damages 0.784796	health threat 0.684369 great strides 0.642854 International Emerging Infections 0.757623 outbreak investigations 0.63572 U.S. President 0.634856 privilege 0.569529 CDC-supported Kenya Field 0.903324 poor health 0.787715 burden 0.59744 disease spreads 0.639182 public health professionals 0.797591 extraordinary international work 0.794423 population-based surveillance project 0.781383 public health 0.843641 health ministries 0.699096 health care 0.695939 local partners 0.633033 heightened sense 0.652495 preventable causes 0.663348 U.S. Embassy 0.638024 interventions 0.550916 technical capabilities 0.63204 childhood illnesses 0.639333 urban Kenya 0.811864	CLICK HERE
7459	Centers for Disease Control and Prevention	Html	en	NCEH A to Z Index - T	Resources for the National Center for Environmental Health	MPEG 0.741242 site 0.541063 PDF 0.544429	PPT 0.837268 DOC 0.733754	CLICK HERE
10143	Centers for Disease Control and Prevention	Html	en	Mycoplasma pneumoniae: Fast Facts	Facts about Mycoplasma pneumoniae.	true size 0.286187 population-based active surveillance 0.360066 urban area 0.277247 health problem 0.286089 Michelow IC 0.278929 Pneumoniae Incidence Study 0.510693 Marston BJ 0.291203 macrolide treatment 0.283872 lungs 0.21919 gradual onset 0.300177 Plouffe JF 0.301382 Auwaerter PG 0.278712 possible carrier state 0.34352 Hackman BA 0.28721 Grayston JT 0.29178 Clin Infect Dis. 0.362599 small bacterium 0.297934 M. pneumoniae.1,3,4,5,6 0.293801 Salstrom SJ 0.287092 Arch Intern Med. 0.35298 Kolczak MS 0.283273 Foy HM 0.385608 respiratory tract 0.294802 lung infections 0.288426 antibiotics 0.217649	United States 0.365366 adults 0.226333 Lieberman D. 0.284132 clinical characteristics 0.277347 Lozano 0.218054 epidemiology 0.230805 different populations 0.2799 Kenny GE 0.27909 Porath 0.223677 person-to-person 0.2239 atypical bacterial pneumonia 0.552507 Lipman HB 0.292104 long incubation period 0.372848 cases 0.241908 common cause 0.282024 different symptoms 0.295851 Mundy LM 0.284842 community-acquired pneumonia 0.985085 likely underestimated.1,2 0.285891 File Jr TM 0.355731 pneumonia-related hospitalization 0.299196 et al 0.334795 M. pneumoniae infection 0.791562 Breiman RF 0.281415	CLICK HERE
11402	Centers for Disease Control and Prevention	Html	null	Palm Card | Campaign Materials | We Can Stop HIV One Conversation | Act Against AIDS	Promotional palmcard with an overview of One Conversation at a Time, CDC’s first national effort to encourage Hispanic/Latino families, friends, and communities to talk openly about HIV			CLICK HERE
12758	Centers for Disease Control and Prevention	Video	en	Parents Are the Key to Safe Teen Drivers | I Pledge Video	This one-minute video shows a number of moms and dads pledging to protect their teen drivers—the same way they pledged to keep them safe since the day they were born. 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://www.cdc.gov/ParentsAreTheKey/socialmedia/video-ipledge.html			CLICK HERE
15736	Centers for Disease Control and Prevention	Html	en	Opportunistic Infections | Living with HIV | HIV Basics | HIV/AIDS | CDC	HIV can weaken your immune system. Learn more about illnesses called opportunistic infections that you should be on the lookout for.	Infectious Disease Society 0.425672 United States 0.245652 healthy immune systems 0.390779 protozoan parasite Cryptosporidium 0.227498 bacteria Mycobacterium tuberculosis 0.255626 Pneumocystis carinii pneumonia 0.255384 body 0.337831 Invasive cervical cancer 0.223948 spinal cord disease 0.226421 opportunistic infections 0.44522 active TB coughs 0.228881 abdominal pain 0.227265 HIV levels 0.315945 sexually transmitted infections 0.230171 immune systems 0.687827 acute HIV infection 0.484572 OIs 0.316227 HIV medications 0.362516 lungs 0.311018 healthcare professionals 0.282181 HIV Medicine Association 0.533198 care provider 0.293403 National Institutes 0.280262 Opportunistic Infection pages 0.406674	common OIs 0.291872 bacteria Streptococcus pneumoniae 0.224381 Mycobacterium kansasii 0.239366 weakened immune systems 0.335468 weight loss 0.291905 damaged immune systems 0.478389 brain 0.234341 CMV retinitis 0.229583 care provider perform 0.228221 people 0.24813 chronic HIV infection 0.484928 HIV treatment 0.324688 Mycobacterium avium complex 0.245537 lymph nodes 0.290471 progressive disseminated histoplasmosis 0.227503 contaminated food 0.22385 HIV-Infected Adults 0.292567 fungus Cryptococcus neoformans 0.230751 fungus Histoplasma capsulatum 0.228776 HIV Wasting 0.276808 specific OIs 0.242651 HIV infection 0.931991 lung infection 0.289811	CLICK HERE
16362	Centers for Disease Control and Prevention	Html	en	Racial/Ethnic Differences in Associations BetweenNeighborhood Social Cohesion and Meeting Physical ActivityGuidelines, United States, 2013-2014	Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.	median score 0.380858 moderate-equivalent physical activity 0.335862 social cohesion score 0.55503 data 0.362161 neighborhood cohesion 0.388882 United States 0.372502 score units 0.364217 social cohesion variables 0.35889 higher odds 0.33913 physical activity behaviors 0.333104 National Health Interview 0.337742 Introduction Neighborhood factors 0.361563 physical activity variables 0.336324 California Health Interview 0.334515 binary neighborhood cohesion 0.384939 meeting physical activity 0.354393 Hispanic adults 0.335435 nationally representative sample 0.332569 vigorous physical activity 0.359152 non-Hispanic whites 0.352633 English language proficiency 0.383145 physical activity guidelines 0.402107 neighborhood factors 0.365376 non-Hispanic white adults 0.350868	New York 0.342027 social cohesion scores 0.39625 annual income 0.351662 present neighborhood 0.34687 neighborhood help 0.368072 moderate activity 0.346407 Health Interview Survey 0.369739 leisure-time physical activities 0.338525 median neighborhood 0.367784 higher neighborhood 0.355682 physical activity 0.759031 mean neighborhood 0.355165 aerobic physical activity 0.567993 higher levels 0.382978 overall mean neighborhood 0.351464 Interview Survey data 0.338743 non-Hispanic white race/ethnicity 0.333219 leisure-time physical activity 0.346394 regular physical activity 0.338458 close-knit neighborhood 0.369061 vigorous activity 0.346638 neighborhood social cohesion 0.929243 high school diploma 0.347129	CLICK HERE