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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
681	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | The Effect of Philadelphia and Pennsylvania Clean Indoor Air Act on Food Services and Drinking Places Sales and Numbers, 1998-2011 - CDC	Philadelphia enacted its Clean Indoor Air Act (CIAA) nearly 2 years before the statewide CIAA. In this study, we assessed the economic impact of CIAAs on 4 types of food services and drinking places and addressed the predominant limitation of previous pre–post ban studies, namely the lack of control for confounders and changes in secular trends over time.	previous pre–post ban 0.373639 statewide CIAA 0.417165 special food services 0.786172 adjusted outcomes 0.374557 trend 0.410423 regression analysis 0.438006 sales 0.507862 Philadelphia’s CIAA 0.416519 number 0.479286 comprehensive CIAA ordinance 0.426689 Philadelphia CIAA 0.634005 drinking establishments 0.434006 support comprehensive CIAA 0.411117 places revenue sales 0.369203 beginning post CIAA 0.417521 level 0.3685 impact 0.409785 type-specific adjusted sales 0.417604 drinking places 0.866458 indoor smoking bans 0.395206 NAICS code 0.378904 Quarterly adjusted revenue 0.398865 drinking places sales 0.476595 adjusted revenue sales 0.4659 food services 0.98075	effect 0.368182 Pennsylvania CIAA 0.736198 counties 0.377747 Indoor Air Act 0.513925 analytic approach 0.369516 limited-service eating places 0.478224 general economic indicator 0.438631 ordinary regression analysis 0.432931 Philadelphia County 0.415171 food services sales 0.410428 adjusted sales/adjusted number 0.465169 adjusted special food 0.404119 Pennsylvania Clean Indoor 0.378846 interrupted time-series 0.402315 Clean Indoor Air 0.46285 economic impact 0.386428 predominant limitation 0.406352 CIAA statutes 0.39651 full-service restaurants 0.418891 adjusted quarterly revenue 0.399373 pre–post ban studies 0.402381 Monica A. Fisher 0.368831 Pennsylvania’s CIAA 0.42304 consumer spending 0.381169	CLICK HERE
7249	Centers for Disease Control and Prevention	Html	en	Tornado-Related Fatalities - Five States, Southeastern United States, April 25-28, 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.	Red Cross 0.836693 particular tornado 0.695022 mean lead time 0.659611 head injuries 0.639269 safe room 0.770862 tornado-related deaths 0.714137 multistate deadly tornado 0.715323 injury 0.64215 specific tornadoes 0.62463 tornado track overlap 0.713685 tornado severity 0.710826 National Weather 0.696914 National Weather Service 0.680393 risk factors 0.639515 personal protective actions 0.63833 carbon monoxide 0.641975 third-deadliest tornado event 0.762162 mobile homes 0.785066 southeastern United States 0.744169 Health Statistics 0.639098 vital statistics offices 0.674183 numerous long-track tornadoes 0.664793 additional tornado-related deaths 0.621754 deadly tornadoes 0.767507	National Weather Svc 0.671643 tornado tracks 0.696962 Rebecca S. Noe 0.650377 night-time tornado impact 0.763391 tornado meteorology 0.695603 tornado survey points 0.708673 death 0.716179 indirect tornado-related fatalities 0.648933 Tornado preparedness 0.676581 head injury 0.630314 tornado forecasting 0.710274 single-family homes 0.771454 death certificates 0.698224 Enhanced Fujita 0.644184 public health 0.709347 tornado-related fatalities 0.683611 tornado 0.986914 American Red Cross 0.772613 numerous tornado 0.698927 body recovery 0.629238 fatalities 0.714282 tornado impact 0.787384 associated tornado 0.671024 tornado exposure 0.684699	CLICK HERE
8082	Centers for Disease Control and Prevention	Html	en	Notifiable Diseases and Mortality Tables - February 15, 2013	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.	CDC 0.334863 California serogroup 0.339738 †† Data 0.335656 HL7 format 0.332306 Northern Mariana Islands 0.881297 provisional cases 0.341176 Maximum 0.424972 Streptococcus pneumoniae disease 0.354162 Commonwealth 0.417133 western equine diseases 0.350859 probable cases 0.346284 Spotted fever rickettsioses 0.35528 influenza A virus 0.338857 National Center 0.391471 STD Prevention 0.333838 TB Prevention 0.334184 Viral Hepatitis 0.333179 similar clinical presentation 0.352583 complete list 0.332308 notifiable disease data 0.384605 Cumulative total E. 0.38188 Influenza Division 0.339754 serogroup 0.34292 Cumulative year-to-date counts 0.91463	2009 pandemic 0.389744 Respiratory Diseases 0.333789 Includes drug resistant 0.352443 human infection 0.334057 H. influenzae 0.337908 Max 0.416911 novel influenza 0.366685 total cases 0.339276 Unavailable. 0.40493 pandemic influenza 0.394416 measles cases 0.348013 susceptible cases 0.338375 viral hemorrhagic fever 0.366403 rubella cases 0.347229 table 0.341908 virus infections 0.331934 C.N.M.I. 0.400321 cases 0.542452 Total case counts 0.382805 serogroup non-O157 0.340163 Vector-Borne Infectious Diseases 0.352235 fever group rickettsia 0.356631 dengue hemorrhagic fever 0.368097 sterile body site 0.353807	CLICK HERE
9197	Centers for Disease Control and Prevention	Html	en	CDC Features - PulseNet & Foodborne Illness Detection | CDC Features	PulseNet connects foodborne diseases together, quickly finding outbreaks by revealing matching patterns and linking illnesses across states and countries.	recent mulitistate outbreak 0.586063 PulseNet 0.733704 outbreak strains 0.502011 PulseNet International 0.468939 foodborne infections 0.460413 following bacteria 0.435612 worldwide foodborne illnesses 0.636888 public health surveillance 0.502237 outbreak 0.600142 public health systems 0.50432 clinical diagnostic community 0.475826 DNA fingerprinting technique 0.532778 multi-state outbreaks 0.434209 O157 outbreak 0.526788 standardized molecular subtyping 0.496311 PulseNet USA 0.454287 outbreak investigation programs 0.567905 different states 0.497994 disease-causing foodborne bacteria 0.578566 foodborne illness 0.670383 Listeria illnesses 0.458787 public health laboratories 0.671402 human foodborne illness 0.566652 ratio cost-benefit ratio 0.472279 foodborne outbreaks 0.475001	foodborne illness cases 0.599177 outbreak investigations 0.490899 molecular strain typing 0.474626 PulseNet database 0.447485 food regulatory agency 0.528759 national laboratory network 0.489642 rapid turnaround times 0.468977 different tainted products 0.480176 old fashioned test 0.46982 public health 0.915447 common food source 0.699478 E. coli 0.695192 toxin-producing E. coli 0.516611 number tandem repeat 0.470259 food safety systems 0.546171 foodborne illness pathogens 0.542202 Colorado,PulseNet public health 0.520521 people 0.440403 improved food safety 0.500277 large outbreak 0.493276 public health efforts 0.502677 foodborne disease-causing bacteria 0.615485 subtype data 0.528766 annual human illness 0.496492	CLICK HERE
11558	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Outstanding Student Research: Li et al on Investigating the Placement of Green Carts to Improve Access to Healthful Foods in Food Deserts - CDC	Each year since 2011 Preventing Chronic Disease (PCD) has issued a special call for student papers for our Student Research Paper Contest. This year PCD received 67 submissions from students throughout the world. We are very excited to recognize Kathleen Li and colleagues as the winners of the 2014 contest for their paper entitled “Evaluation of the Placement of Mobile Fruit and Vegetable Vendors to Alleviate Food Deserts in New York City”	intermediate outcomes 0.366383 public health intervention 0.341276 PCD Editorial Board 0.26582 geographic analysis 0.26106 public health interventions 0.445308 Green Cart licenses 0.257516 public health researchers 0.285558 healthful selections 0.26007 City Green Carts 0.284107 outstanding work 0.235193 New York City 0.887939 Preventing Chronic Disease 0.240094 health outcomes 0.4504 higher traffic areas 0.269438 sophisticated geographic analysis 0.240998 vegetable vendors 0.351388 paper Ms Li 0.323182 mobile fruit 0.352125 food vendors intervention 0.308059 PCD staff members 0.266168 City licensing program 0.274394 health status 0.26227 Dr Deesha Patel 0.241553 Alleviate Food Deserts 0.382931	chronic disease 0.354689 York City program 0.284423 Green Cart program 0.407882 colleagues 0.269988 Drs Ana Diez-Roux 0.236421 Research Paper Contest 0.562102 chronic disease prevention 0.250183 limited access 0.257442 access 0.275203 Public Health Research 0.291026 assistance programs 0.270095 environmental change 0.259268 food deserts 0.916779 high-traffic areas 0.285496 Dr Carol Horowitz 0.269275 Nutrition Assistance Program 0.274044 public health 0.601437 public health perspective 0.306515 healthful ways 0.252522 Drs Barbara Bowman 0.237721 Green Carts 0.415536 Student Research Paper 0.561878 Samuel F. Posner 0.24118 population health outcomes 0.326809	CLICK HERE
11696	Centers for Disease Control and Prevention	Html	en	Top 10 Ebola Response Planning Tips: Ebola Readiness Self-Assessment for State and Local Public Health Officials	Top 10 Ebola Response Planning Tips: Ebola Readiness Self-Assessment for State and Local Public Health Officials - CDC	ebola outbreaks 0.687467 national capability standards 0.550274 healthcare coalitions 0.50428 CDC guidance 0.50395 health preparedness capabilities 0.626538 Healthcare Preparedness Capabilities 0.55995 Ebola symptoms 0.619828 public health authorities 0.51615 Healthcare System Preparedness 0.516629 local epidemiologic staff 0.506086 state 0.524023 public health systems 0.534703 following guidance documents 0.502996 state emergency operations 0.507437 local response partners 0.516357 Ebola Outbreaks web 0.650986 public health partners 0.521834 potential Ebola response 0.656314 ebola virus disease 0.65416 health emergency response 0.527835 public health officials 0.529792 sufficient PPE quantities 0.497693 public health response 0.54224 Ebola patients 0.59014 Ebola 0.816615	Ebola epidemic 0.603928 CDC Health Alert 0.539851 appropriate public health 0.524056 local planning 0.506327 Ebola outbreak information 0.622452 public health staff 0.519703 CDC Interim Guidance 0.540371 public health jurisdiction 0.515643 Ebola response planning 0.649104 align preparedness 0.497508 Ebola planning 0.59776 CDC resources 0.521193 key public health 0.527012 public health emergency 0.574172 public health 0.924392 preparedness national standards 0.550313 local jurisdictions 0.506499 local public health 0.842003 Ebola response 0.771644 latest Ebola information 0.629747 healthcare preparedness capability 0.555282 CDC Ebola website 0.659645 health emergency preparedness 0.565977 public health preparedness 0.712099	CLICK HERE
11969	Centers for Disease Control and Prevention	Html	en	NIOSH-Approved P100 Particulate Filtering Facepiece Respirators - Suppliers List	This page contains a suppliers list of NIOSH-Approved P100 Particulate Filtering Facepiece Respirators.	PDF version 0.678571 P100 0.547665 facepiece respirator 0.81326 JSP 0.481804 airborne particles 0.804667 CDC/NIOSH 0.538743 section 0.453154 procedure 0.470887 Disclaimer 0.513678	official endorsement 0.791087 content 0.487315 NIOSH policy 0.993978 oil 0.457931 Ltd. 0.450635 statement 0.486775 websites 0.48888 links 0.453343	CLICK HERE
12355	Centers for Disease Control and Prevention	Image	null	Decoding the Model Aquatic Health Code (78W x 558H)	null			CLICK HERE
12498	Centers for Disease Control and Prevention	Video	en	February 2014 ACIP Meeting -- Public Comment on Influenza Vaccine	Public comment submitted to ACIP read by Dr. Temte. 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=bba839d6adf4d33fb6512e9c5672bb3820140410081919050	Public Comment 0.745127 Influenza Vaccine 0.910412	ACIP Meeting 0.896474	CLICK HERE
15604	Centers for Disease Control and Prevention	Html	en	The Plan: Increasing Awareness, Emphasizing Prevention	A Toolkit for Long-Term Care Employers: Increasing Influenza Vaccination among Health Care Personnel in Long-term Care Settings - CDC	position statements 0.377327 medical setting 0.248825 national influenza vaccination 0.748672 U.S. health care 0.430678 long-term care 0.420213 medical organizations 0.251528 Healthcare Personnel Position 0.414852 coverage rates 0.262306 long-term care facility 0.411781	mandatory influenza vaccination 0.900644 Practices Advisory Committee 0.425953 influenza vaccination 0.968951 influenza vaccination policies 0.697915 Immunization Practices 0.305131 annual influenza vaccination 0.696634 healthcare settings 0.274488 healthcare institution 0.259304	CLICK HERE