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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
935	Centers for Disease Control and Prevention	Html	en	Multiple-Serotype Salmonella Outbreaks in Two State Prisons- Arkansas, August 2012	Rachel E. Gicquelais, MPH1, Jamae F. Morris, PhD2, H.	Salmonella 0.82078 positive stool cultures 0.440616 stool culture plate 0.39451 prison population 0.377476 stool specimens 0.915685 Salmonella Adelaide 0.46261 symptom onset 0.42626 Salmonella serotypes 0.476418 Salmonella Enteritidis 0.413583 Salmonella morphologies 0.416128 Salmonella PFGE patterns 0.466502 safe food preparation 0.44681 prison cafeterias 0.402298 Prison kitchen staff 0.50344 Salmonella Anatum 0.52641 prison 0.931017 stool culture 0.498222 multiple-serotype Salmonella infections 0.442612 prison A investigation 0.427555 prison A kitchen 0.4229 Salmonella colonization 0.404116 Salmonella clearance 0.476381 prison staff 0.532323 prison B. Weekly 0.434886 food safety training 0.700181	food preparation 0.525576 Salmonella testing 0.482429 inmate kitchen workers 0.863816 Salmonella Heidelberg 0.425683 prison B. Laboratory 0.418529 weekly stool specimens 0.57819 prison B outbreak 0.412191 certain Salmonella serotypes 0.451356 chicken salad 0.909982 prison B. 0.542628 multiple-serotype Salmonella outbreaks 0.489066 inmates 0.680355 Salmonella Cerro patterns 0.47301 prison B kitchen 0.462901 Salmonella Anatum pattern 0.445228 food items 0.399604 ADH sanitarians 0.403596 prison housing unit 0.440988 successive stool specimens 0.405488 prison kitchens 0.376605 Prison B officials 0.38773 infected inmates 0.376469 food storage containers 0.388757 food preparation practices 0.381627	CLICK HERE
4653	Centers for Disease Control and Prevention	Html	en	Environmental metrics for community health improvement	null	community metrics 0.654623 well-characterized health effects 0.63404 data 0.636034 long-term health determinants 0.616075 automobile dependence metrics 0.639638 Potential metrics 0.62367 community health information 0.726901 human health 0.646822 environmental health indicators 0.666563 general health 0.622338 health outcomes 0.672948 potential health effect 0.61629 direct health effects 0.627818 Rev Public Health 0.62924 assess health disparities 0.677959 air quality 0.616366 Health Rankings-Mobilizing Action 0.614645 Health Institute project 0.61466 community level 0.703932 population health 0.611781 environmental factors 0.620076 practicable metrics 0.616853 Optimal metrics 0.6345 feasible metrics 0.623996 community health determinants 0.696295	water quality 0.622357 community health 0.866049 environmental health metrics 0.797766 health effects 0.672947 health information base 0.682446 National environmental health 0.671264 environmental public health 0.71797 useful metrics 0.618357 Health Promot Practice 0.61348 environmental health policy 0.667224 drinking water 0.619746 local health departments 0.673742 public health 0.85776 general health outcomes 0.622313 health 0.917155 community health improvements 0.656804 self-reported poor health 0.625486 physical activity 0.620961 environmental metrics 0.759288 Environmental Health program 0.660009 community health aspirations 0.662979 Table). 0.614686 community health metrics 0.848065 public health action 0.664982	CLICK HERE
5257	Centers for Disease Control and Prevention	Html	en	Associations Between Severe Obesity and Depression: Results From the National Health and Nutrition Examination Survey, 2005-2006	null	severely obese women 0.502512 health professional interview 0.483636 poor physical health 0.703213 possible mediators 0.487899 mental health 0.485149 significant differences 0.503532 number 0.481161 self-rated health 0.697479 cross-sectional study 0.47797 class III obesity 0.739488 Nutrition Examination Survey 0.512701 health behaviors 0.533091 obesity 0.853249 major depression 0.488775 demographic factors 0.537162 specific health behaviors 0.49145 Patient Health Questionnaire 0.53777 waist circumference 0.903838 body mass index 0.567724 depression screener score 0.516127 self-rated health status 0.578996 National Health 0.486679 large waist circumference 0.64816 Wardle J. Depression 0.502377 waist circumference models 0.517888	severe obesity 0.491058 women 0.678516 study 0.488517 class II obesity 0.529501 association 0.552524 small waist circumference 0.547465 optimal waist circumference 0.519109 health status ratings 0.485691 PHQ-9 score 0.509622 alcohol consumption 0.485564 self-reported physical health 0.479478 men 0.525816 current depression 0.541793 BMI 0.558416 previous depression 0.47914 health 0.806602 depression status 0.496451 chronic conditions 0.847033 dependent variable 0.488854 physical activity 0.486698 prior obesity 0.49074 earlier obesity 0.492419 reference group 0.59813 logistic regression models 0.507815	CLICK HERE
5650	Centers for Disease Control and Prevention	Html	en	Stoddard solvent - 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
8135	Centers for Disease Control and Prevention	Html	en	Preconception Care, Show Your Love Campaign - Images, Physical Activity	null	Save target 0.868127 right click 0.950907	Save link 0.813989	CLICK HERE
12929	Centers for Disease Control and Prevention	Video	en	Concussion Videos - Responding to a Concussion	null	Response 0.36343	Heads 0.860411	CLICK HERE
13505	Centers for Disease Control and Prevention	Html	en	Populations and Settings | Division of Viral Hepatitis | CDC	null	MPEG 0.741242 site 0.541063 PDF 0.544429	PPT 0.837268 DOC 0.733754	CLICK HERE
14351	Centers for Disease Control and Prevention	Html	en	"Well-Being in All Policies": Promoting Cross-SectoralCollaboration to Improve People's Lives	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.	health care spending 0.421959 state health surveys 0.382044 health plans 0.375677 World Health Organisation 0.366344 health care policy 0.63 social determinants 0.386121 health outcomes 0.396273 Community Health Plans 0.370274 Health Communities Model 0.384137 life satisfaction 0.387122 health policy makers 0.414369 health care organization 0.444727 well-being 0.638341 self-reported health 0.408306 World Health Organization 0.481121 population health 0.376784 subjective well-being 0.573736 health care circles 0.476006 Consuming Health Care. 0.393781 health determinants 0.40536 National Health 0.384828 health problems 0.366736 health care organizations 0.45105 social well-being 0.490326 health fields 0.366954	Health care costs 0.390959 self-reported health ratings 0.379473 United States 0.374637 well-being goals 0.389557 community well-being 0.392169 health promotion 0.37918 National Public Health 0.397676 health policy 0.523949 health care 0.769839 public health 0.476855 fewest health limitations 0.374509 health care systems 0.395201 total health 0.370647 poor self-reported health 0.380157 positive mental health 0.365939 complete mental health 0.382218 health 0.926142 activities increase well-being 0.385143 greater well-being 0.401899 Occup Environ Med 0.376171 health care sector 0.455434 nonprofit integrated health 0.366456 health plan programs 0.365593 overall well-being 0.37038	CLICK HERE
15912	Centers for Disease Control and Prevention	Html	en	Notes from the Field | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	public health requests 0.435083 public locations 0.368627 County Health Department 0.778102 hospital security videos 0.341097 uncertain vaccination history 0.355475 C. Age range 0.3449 tertiary care hospital 0.349955 Shelby County 0.706607 health care facility 0.429971 measles virus 0.625623 epidemiologic link 0.367126 Shelby County Health 0.663904 measles diagnosis 0.442077 Regional Health Department 0.40558 3Shelby County Health 0.398678 recent international travel 0.348586 rapid public health 0.418765 daily active monitoring 0.335703 public health officials 0.897097 initial measles 0.458993 2-dose MMR vaccination 0.518385 high 2-dose MMR 0.498048 public health response 0.534143 health care settings 0.420866 effective public health 0.444027	recent measles cases 0.514241 United States 0.353119 intramuscular immune globulin 0.335835 unidentified epidemiologic link 0.354909 Measles Response Team 0.496524 previous measles outbreaks 0.529622 MMR vaccination coverage 0.518358 health care workers 0.723698 measles vaccine 0.475577 public health 0.994802 health care 0.804048 polymerase chain reaction 0.353665 health care systems 0.433432 international travel 0.349235 potentially exposed persons 0.35669 measles patients 0.483723 local public health 0.475015 positive measles IgM 0.58878 Public Health Preparedness 0.415502 close contacts 0.424664 measles IgM testing 0.521769 rash onset 0.374666 measles 0.711161 public health vaccination 0.459833	CLICK HERE
16228	Centers for Disease Control and Prevention	Html	en	Principles of Epidemiology: Lesson 1, Section 6|Self-Study Course SS1978	null	data 0.817907 10-year age groups 0.64123 public health interventions 0.620916 lower socioeconomic status 0.641831 all-terrain vehicle crashes 0.618868 health officials 0.622731 lower socioeconomic areas 0.630513 lung cancer 0.691409 number 0.733045 World Trade Center 0.705445 disease occurrence 0.851521 different age groups 0.717596 West Nile 0.623047 influenza vaccination campaign 0.62482 farm tractor fatalities 0.684417 diseases 0.653917 age groups 0.791609 graph 0.643737 exposure 0.625474 person data 0.657946 low socioeconomic status 0.643876 time periods 0.637094 relevant time scale 0.643843 differences 0.632867 Seasonality. Disease occurrence 0.681431	description 0.63951 higher socioeconomic status 0.698012 epidemiologists 0.637842 graphs 0.618075 5-year age groups 0.701997 lung cancer rates 0.67126 lower socioeconomic strata 0.629341 bar chart 0.701981 displays SARS data 0.633735 epidemic curve 0.652012 place 0.618908 public health 0.686423 Time data 0.625327 disease 0.923764 cases 0.69889 monitoring disease occurrence 0.686163 standard 5-year age 0.630459 5-year age group 0.629133 Figure 0.711031 lung cancer deaths 0.666383 public health problem 0.630567 shorter time periods 0.633186 time 0.821768 adverse health conditions 0.677288	CLICK HERE