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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4716	Centers for Disease Control and Prevention	Html	en	CDC - Chagas Disease - Blood Screening FAQs	Blood screening fact sheet regarding Chagas Disease.	needles 0.30643 general information 0.329435 United States Blood 0.399304 United States 0.411278 Yes. The blood 0.330571 health care provider 0.500514 Vector-borne Transmission 0.364262 potentially infectious blood 0.360844 blood tests 0.349836 Drug Administration 0.333502 sensitive tests 0.329511 substitute 0.306238 United States Trypanosoma 0.410456 false-positive result 0.354207 self-diagnosis 0.306925 Probably. 0.306788 Evidence 0.313248 Yes. The disease 0.331024 cruzi Infection Study 0.416753 Yes. Most donors 0.329482 Yes. Chagas disease 0.427605 Food 0.306747 blood transfusion 0.340973 blood banks 0.384505	organs 0.305973 blood bank 0.349099 Sterile procedures 0.330613 Chagas disease infection 0.42378 testing 0.306312 Parasite 0.314757 organ transplant 0.326874 equipment 0.306124 potential risk 0.326817 No. 0.318963 blood 0.532154 Trypanosoma cruzi Infection 0.419921 people 0.306686 initial test 0.329497 States Blood Donors 0.402507 Congenital Transmission 0.36243 chagas disease 0.908171 blood supply 0.357772 screening test 0.335262 person 0.325735 parasitic infection 0.329043 false-positive results 0.328505 consultation 0.306	CLICK HERE
5550	Centers for Disease Control and Prevention	Html	en	Paraquat (Paraquat dichloride) - NIOSH Pocket Guide to Chemical Hazards	null	MPEG 0.378858 search 0.263099 PDF 0.261307 PPT 0.446092	DOC 0.368812 information 0.262482 different file formats 0.938484 page 0.276773	CLICK HERE
5735	Centers for Disease Control and Prevention	Html	en	2-Isopropoxyethanol - NIOSH Pocket Guide to Chemical Hazards	null	MPEG 0.378858 search 0.263099 PDF 0.261307 PPT 0.446092	DOC 0.368812 information 0.262482 different file formats 0.938484 page 0.276773	CLICK HERE
6500	Centers for Disease Control and Prevention	Html	en	Vaccine - Yellow Fever	Who should be vaccinated for Yellow fever?	South America 0.239365 YF-Vax 0.223615 CDC’s Travelers 0.248356 specific country requirements 0.265049 Healthcare Providers 0.234237 areas 0.206885 Health Yellow Fever 0.375408 low-grade fevers 0.241367 yellow fever virus 0.381126 trip 0.206341 yellow fever vaccine 0.957097 lifelong protection 0.241443 Additional Vaccine Information 0.319862 area 0.206335 live-virus vaccine 0.311773 Africa 0.206863 Locations 0.206653 adverse event 0.271893 long-lasting protection 0.238313 travelers 0.249214 certain countries 0.276526 life-threatening allergic reaction 0.265191 entry 0.206814 booster dose 0.349831 delays 0.208269	production process 0.242632 single dose 0.300043 yellow fever vaccination 0.566892 United States 0.242841 Health page 0.237441 certain people 0.24117 specific countries 0.23655 travel health clinic 0.263152 manufacturer 0.2075 local health department 0.269379 vaccination centers 0.250026 CDC Travelers 0.249209 muscle aches 0.238592 headaches 0.20685 visit Travelers 0.24509 fever vaccination requirements 0.34117 disease 0.211118 Sanofi Pasteur 0.247901 adverse events 0.239484 Talk 0.22013 healthcare provider 0.299742 risk 0.228873 decades 0.207347 certain internal organs 0.271068	CLICK HERE
7089	Centers for Disease Control and Prevention	Html	en	Global Health - Cent. African Republic	null	Content source 0.422709 HHS 0.297574 list Skip 0.74332 endorsement 0.291872 CDC 0.271556 non-federal site 0.4688	Notice 0.270187 sponsors 0.241885 page options Skip 0.947337 information 0.241652 employees 0.242118	CLICK HERE
7097	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012:11_0170	This study investigates the independent association of waist circumference with hypertension and diabetes in African American women.	health risk 0.471014 study participants 0.455101 African Methodist Episcopal 0.451994 vegetable consumption 0.455606 systolic blood pressure 0.447689 diastolic blood pressure 0.447677 abdominal obesity 0.455415 self-reported hypertension 0.45939 normal risk 0.449938 waist circumference categories 0.560295 blood pressure 0.522755 risk factors 0.48394 World Health Organization 0.482386 substantially increased health 0.446525 waist circumference 0.994507 body mass index 0.535708 substantially increased-risk waist 0.546703 vigorous-intensity physical activity 0.448357 study 0.467196 waist circumference threshold 0.558353 United States 0.459443 South Carolina 0.46743 total physical activity 0.480373 minimum circumference 0.486863	Large waist circumference 0.546685 public health 0.455143 African American women 0.78417 abdominal adiposity 0.489304 BMI 0.482595 participants 0.47374 Waist circumference risk 0.568855 waist circumference measurements 0.558958 health-related variables 0.47747 substantially increased risk 0.451806 2-fold increased risk 0.442922 cm 0.465139 increased-risk waist circumference 0.633991 normal waist circumference 0.563953 Waist circumference cut-off 0.551113 larger waist circumference 0.572331 physical activity 0.63333 highest waist circumference 0.556028 substantially increased waist 0.509886 et al 0.48186 Waist circumference measurement 0.550682 S. Waist circumference 0.550958 hypertension 0.553988 diabetes 0.515905	CLICK HERE
7467	Centers for Disease Control and Prevention	Html	en	Summer Graduate Environmental Health Internship (GEH) - Application Materials	CDC Summer Graduate Environmental Health Internship	MPEG 0.741242 site 0.541063 PDF 0.544429	PPT 0.837268 DOC 0.733754	CLICK HERE
7888	Centers for Disease Control and Prevention	Html	en	Asthma in Women - Health Communication	Asthma in Women - Gateway to Health Communication - CDC	menstrual period 0.360876 absolute cure 0.354944 pregnant women 0.360538 menopause 0.338047 health professionals 0.356274 asthma attacks 0.740906 early morning coughing 0.404043 pet dander 0.354939 symptom prevention 0.357759 tobacco smoke 0.350792 dust mites 0.353318 people’s lungs 0.375137 daily life 0.351728 asthma 0.916165 asthma attack 0.541919 female hormones 0.354026 exact cause 0.353816 health problems 0.352519 menstrual cycle 0.425893 wood smoke 0.352957 early morning 0.418139 fresh air 0.356527 hormone levels 0.349792 women 0.364821 estrogen levels 0.358644	United States 0.359935 inflammatory response 0.359291 asthma triggers 0.745914 chronic lung disease 0.415699 cockroach droppings 0.358194 outdoor air pollution 0.397526 premature birth 0.3536 poor growth 0.351957 chest tightness 0.436249 rescue inhalers 0.36093 extra challenges 0.356025 common long-term diseases 0.401885 male asthma patients 0.611053 warning signs 0.356402 higher risk 0.351874 ongoing medical care 0.399587 chronic asthma 0.601329 Hannah 0.339958 daily maintenance medication 0.400996 maintenance medications 0.350024 doctor 0.335379 scary emergency room 0.396094 asthma symptoms 0.559128 entire pregnancy 0.351619	CLICK HERE
9359	Centers for Disease Control and Prevention	Html	es	Habilidad para investigar la legislación estatal: Manual y herramientas para la investigación legislativa por Internet en los Estados	CDC - Wide Page example description goes here	principales bases 0.824931	legislación estatal ayuda 0.9622	CLICK HERE
15751	Centers for Disease Control and Prevention	Html	en	Can States Simultaneously Improve Health Outcomes and ReduceHealth Outcome Disparities?	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.	mortality gap 0.538823 disparity gap improvement 0.496067 combined-race mortality rate 0.516877 relative gap reduction 0.448728 Annual overall mortality 0.493512 black age-adjusted mortality 0.431542 annual percentage 0.771389 relative racial disparity 0.610333 racial gap improvement 0.403541 absolute racial gap 0.540488 relative racial mortality 0.610174 racial mortality gap 0.527561 combined-race mortality improvement 0.518494 disparity measure reductions 0.453752 absolute disparity reduction 0.46004 age-adjusted mortality 0.546103 population health disparity 0.480067 disparity measure 0.729551 black–white mortality gap 0.483336 relative black-to-white mortality 0.473171 relative black-to-white ratio 0.435983 mortality disparity measures 0.619895 disparity reduction targets 0.421625 relative mortality disparity 0.679905 states 0.506516	relative disparity results 0.484568 relative disparity measure 0.702292 mortality absolute gap 0.494922 disparity reduction rates 0.472425 combined-race mortality 0.890185 white age-adjusted mortality 0.431604 annual percentage changes 0.442348 racial gap 0.592221 absolute mortality gap 0.522069 absolute disparity measure 0.549506 mean mortality improvement 0.515709 mortality racial gap 0.567504 mean combined-race mortality 0.460548 annual percentage improvement 0.451602 improvement 0.607338 annual improvement 0.4644 health disparity index 0.445662 absolute gap reduction 0.42305 disparity reduction 0.740488 annual percentage change 0.737382 ratio disparity measure 0.412848 relative disparity reduction 0.482033 mortality 0.944943 relative disparity 0.822316	CLICK HERE