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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5822	Centers for Disease Control and Prevention	Html	en	Carbon black - 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
6991	Centers for Disease Control and Prevention	Html	en	Investigation of Viral Hepatitis Infections Possibly Associated with Health-Care Delivery - New York City, 2008-2011	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.	HCV antibodies 0.307548 HCV infections 0.432627 resource-intensive components 0.285693 positive HCV test 0.350723 infection control lapses 0.350881 acute HBV 0.418216 New York City 0.581974 health-care–associated viral hepatitis 0.314165 DOHMH 0.497711 single case reports 0.405598 HBV 0.458849 HCV genotype 0.307493 risk factors 0.286677 DOHMH approach 0.375807 patients 0.404525 safe injection practices 0.329779 infection control breaches 0.316158 Public health investigations 0.326181 resource-intensive investigation 0.30448 hepatitis c virus 0.29424 single-use propofol vials 0.301676 public health response 0.415445 acute HCV infection 0.460496 potentially health-care–associated HBV 0.350049	HCV surveillance database 0.3535 single case 0.435123 HCV RNA 0.314178 single case report 0.386232 HCV infection 0.946555 infection control 0.640936 health-care providers 0.447354 HCV testing 0.435938 index patient 0.692765 health departments 0.326527 health-care settings 0.468776 initial investigation 0.328128 public health 0.624755 infection control practices 0.330132 possible source patient 0.284635 anesthesiologist 0.324114 procedure 0.279012 York City Department 0.287458 public health problem 0.317273 viral hepatitis transmission 0.333371 patient-to-patient HCV transmission 0.370277 et al 0.30356 investigation 0.408096 appropriate infection control 0.32506	CLICK HERE
8714	Centers for Disease Control and Prevention	Html	en	Cross-Sector Collaboration - Emergency Preparedness for Older Adults	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
8812	Centers for Disease Control and Prevention	Html	en	Naegleria fowleri - Policy & Recommendations	Policy and Recommendations concerning Naegleria fowleri. Education and information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals.	Acanthamoeba spp 0.277918 warm fresh water 0.331728 stiff neck 0.273247 visual disturbances 0.274531 laboratory confirmed.** 0.269239 recent history 0.274123 state health departments 0.353488 nasal mucosa 0.295234 mental-state abnormalities 0.279407 primary amoebic meningoencephalitis 0.363542 disease trends 0.273263 healthy children 0.271289 voluntary assistance 0.277816 water exposure 0.269102 sudden onset 0.280696 Naegleria fowleri infections 0.909276 clinically similar illness 0.331403 nasal discharge 0.286815 Initial signs 0.2734 young adults 0.274584 reference laboratory 0.267973 Territorial Epidemiologists 0.365269 standard case definition 0.34206 olfactory nerve 0.278024 nationally notifiable disease 0.490142	amebic encephalitis 0.317088 Acanthamoeba spp. 0.280178 U.S. Naegleria 0.41794 primary amebic meningoencephalitis 0.555487 molecular characterization 0.268855 State Health Services 0.330309 positive Kernig 0.273656 clinically compatible illness 0.330061 Infectious Disease Committee. 0.327594 free-living ameboflagellate 0.286098 fulminant hemorrhagic meningoencephalitis 0.386105 bacterial meningitis 0.268894 Definitive diagnosis 0.267559 Laboratory-confirmed Naegleria fowleri 0.581967 Brudzinski’s signs 0.274673 healthcare provider awareness 0.323587 non-notifiable infections 0.295808 free-living amebae 0.275762 Yoder JS 0.267437 Balamuthia mandrillaris 0.367384 nasal obstruction 0.290724 Texas notifiable conditions 0.35176 infected persons 0.270898 important environmental factors 0.320164	CLICK HERE
10038	Centers for Disease Control and Prevention	Html	en	Social Media Campaigns, Current and Past	Social Media Tools for CDC.	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
10790	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Association of the Neighborhood Retail Food Environment with Sodium and Potassium Intake Among US Adults - CDC	High sodium intake and low potassium intake, which can contribute to hypertension and risk of cardiovascular disease, may be related to the availability of healthful food in neighborhood stores. Despite evidence linking food environment with diet quality, this relationship has not been evaluated in the United States. The modified retail food environment index (mRFEI) provides a composite measure of the retail food environment and represents the percentage of healthful-food vendors within a 0.5 mile buffer of a census tract.	food environment 0.818668 High sodium intake 0.272023 percentage white population 0.213189 sodium intake 0.696534 potassium intake 0.995745	low potassium intake 0.271506 healthful food 0.249251 sodium–potassium ratio 0.485221 total energy intake 0.230668 retail food environment 0.559864	CLICK HERE
11175	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | The Geography of Diabetes by Census Tract in a Large Sample of Insured Adults in King County, Washington, 2005"2006 - CDC	Identifying areas of high diabetes prevalence can have an impact on public health prevention and intervention programs. Local health practitioners and public health agencies lack small-area data on obesity and diabetes.	diabetes prevention 0.439362 census tracts 0.571389 Cooperative health care 0.389433 unsmoothed prevalence 0.411001 EB-smoothed prevalence 0.418036 Health Cooperative health 0.403878 self-reported diabetes 0.416233 college education 0.397284 population density 0.522217 median household income 0.534104 area-level diabetes 0.411073 Food Environment Index 0.412448 countywide prevalence 0.412069 Census-tract–level prevalence 0.408495 obesity prevalence 0.51571 adult diabetes 0.43632 Diabetes status 0.43069 census tract–level diabetes 0.479789 high diabetes risk 0.465359 random spatial pattern 0.406946 high diabetes prevalence 0.580845 census-tract–level diabetes prevalence 0.524791 geographic distribution 0.424309 Modified Retail Food 0.408991 spatial clustering 0.38901	Group Health Cooperative 0.428285 spatial dependence 0.430946 crude prevalence 0.406723 percentage points 0.455445 southeast King County 0.428034 prevalence estimates 0.414612 diabetes prevalence 0.90654 diabetes belt 0.449373 childhood obesity prevalence 0.475298 median home value 0.601178 residual spatial dependence 0.391214 public health 0.402073 Retail Food Environment 0.413242 text description 0.396383 food environment 0.520472 diabetes incidence 0.437408 high prevalence 0.426779 college degree 0.431577 smoothed diabetes prevalence 0.641925 low prevalence 0.406366 census-tract level 0.449048 diabetes data 0.431464 King County 0.760435 Group Health 0.51009	CLICK HERE
11664	Centers for Disease Control and Prevention	Video	en	Ebola video: What Airline Crew and Staff Need to Know	Includes information about Ebola, how to protect yourself when traveling to countries with Ebola, what is being done to stop the spread of Ebola, what to do with an ill passenger, and additional resources and information. 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=c20f5b002bc1b2ff885f5dd95553493c20140926110236042	Airline Crew 0.99432 Staff Need 0.624226	Ebola 0.833248	CLICK HERE
12044	Centers for Disease Control and Prevention	Html	en	Human Parainfluenza Viruses | Symptoms and HPIV Illnesses | CDC	Human parainfluenza viruses (HPIVs) commonly cause upper and lower respiratory illnesses. After infected, takes about 2-7 days before develop symptoms: fever, runny nose, and cough.	cold-like symptoms 0.533877 vocal cords 0.553248 runny nose 0.587037 multiple HPIV illnesses 0.666941 cough 0.439794 navigation Skip 0.654821 cause croup 0.616489 larynx 0.440179 upper respiratory illness 0.803349 pneumonia 0.480476 medical attention 0.543318 immune systems 0.572154 sore throat 0.568528 young children 0.563001 lungs 0.527343 severe respiratory illnesses 0.756473	main air passages 0.676104 smallest air passages 0.678593 irritability 0.447513 list Skip 0.657312 infants 0.432483 commonly cause 0.615684 air passages 0.700247 page options Skip 0.792016 bronchial tubes 0.549303 respiratory illnesses 0.774467 lower respiratory illness 0.992844 symptoms 0.562447 Human parainfluenza viruses 0.712359 ear pain 0.545244 older adults 0.566902	CLICK HERE
12843	Centers for Disease Control and Prevention	Html	en	Patients Face More Lethal Infections from CRE | CDC Features	Some germs are beating even our strongest antibiotics. Rapid action by clinicians and healthcare leaders is needed to stop the rise of lethal CRE infections.	common type 0.484308 wound infections 0.527152 CDC 0.467647 control steps 0.477102 lethal infections 0.628142 new information 0.488053 state health departments 0.543594 seven-fold increase 0.483112 routine bladder 0.486434 germs 0.659945 regional lab network 0.548527 patients 0.470141 antibiotic resistant pathogens. 0.560996 drug-resistant pathogens 0.486888 large cities 0.481121 strongest antibiotics 0.532688 severe infections 0.528015 healthy people 0.477945 intense infection prevention 0.546664 CRE 0.901737 inpatient medical care 0.574335 usual forms 0.490455 acute care hospitals 0.54472 outbreaks 0.430415	acute care facilities 0.568847 nursing homes 0.566822 Antibiotic Resistance Prevention 0.561386 outpatient practices 0.476927 United States 0.481018 germs.This means 0.481056 rapid improvement 0.47976 antibiotic-fighting abilities 0.481556 Rapid action 0.497013 KB 0.431388 healthcare leaders 0.497925 lethal germs 0.618059 50 states 0.48074 Vital Signs report 0.564427 Enterobacteriaceae family 0.489167 major successes 0.481796 CRE prevention toolkit 0.742798 critical national infrastructure 0.543806 practical CRE prevention 0.744795 lethal CRE infections 0.898734 long-term acute care 0.69913 medical staff 0.483834 medical facilities 0.611352 e.g. E. coli 0.567271	CLICK HERE