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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
931	Centers for Disease Control and Prevention	Html	en	International Travel with Your Pet | CDC Features	Taking your faithful pooch or kitty on a flight? Make sure you’ve got your pet’s paperwork wherever you go—and bring it back with you, too. The United States expects the same documents regardless of whether your pet is a first-time traveler to the United States or is a returning from an international trip.	pets 0.446973 International Air Transport 0.799367 U.S. carriers 0.435388 Agriculture pet travel 0.626235 Blood tests 0.454379 family member 0.43399 U.S. Department 0.718133 special carriers 0.44181 trip 0.448447 different rules 0.445584 Northern Hemisphere 0.443147 hot destination 0.463711 shipping kennel 0.443282 Plant Health Inspection 0.575358 pet 0.982567 sturdy container 0.442095 different requirements 0.559254 pet’s documents 0.514079 specific ones 0.447692 destination country 0.616752 arrival times 0.437556 nighttime arrival 0.438161 separate flight 0.445944 rabies vaccination 0.815935 dog 0.618579	destination state 0.456387 flight 0.51236 United States 0.977604 dimly lit hold 0.553223 Purchase flights 0.435191 animal autopsy 0.43397 cabin 0.447671 ground handlers 0.439793 pet travel website 0.836271 natural position 0.437981 extreme heat 0.434548 Air Transport Association 0.799318 rabies vaccinations 0.466711 airline staff 0.441098 great place 0.452373 small dogs 0.45046 dog’s rabies 0.485131 rabies vaccination certificate 0.587126 fewer connections 0.435272 air cargo shipment 0.766559 medical care 0.464163 Different airlines 0.449262 final destination 0.470619 time 0.471818	CLICK HERE
1318	Centers for Disease Control and Prevention	Html	en	NCIRD | DBD Bulletin Fall 2013 | Labs Pass CLIA	Division of Bacterial Diseases Bulletin Fall	U.S. facilities 0.694539 Laboratory Improvement Amendments 0.864705 records 0.530923 documents 0.530722 important task 0.667483 Clinical 0.533017 DBD labs 0.802487 sites 0.533561 proficiency tests 0.68327 CLIA inspection 0.975685 Bacterial Diseases 0.708085 summer 0.534605 colors 0.532057	emphasis 0.530817 Division 0.5345 historical reasons 0.720539 CLIA-certified lab 0.666915 competency tests 0.683391 CDC laboratories—undergo 0.715599 important inspection 0.684382 extraordinary efforts 0.696921 health assessment 0.69345 human specimens 0.700551 Content 0.537536 page 0.537467	CLICK HERE
4503	Centers for Disease Control and Prevention	Html	en	CDC A-Z Index - C	CDC A-Z Index	Clostridium tetani Infection 0.772546 Cryptosporidium Infection 0.731759 Corynebacterium diphtheriae Infection 0.798609 Bartonella henselae Infection 0.783804 Corynebacterium diphtheria Infection 0.763609 Clinical Laboratory Improvement 0.734592 CDC WONDER 0.673635 Nairovirus Infection 0.71222 Health Worker Resources 0.725806 Candida Infection 0.766026 (Cytomegalovirus Infection) 0.76405 Chlamydia pneumoniae Infection 0.902711 Trypanosoma cruzi Infection 0.772031 Crimean-Congo hemorrhagic fever 0.682347 Cancer Control Program 0.758149 Chronic Disease Notes 0.680336 CDC Drug Service 0.70757 CDC Surveillance Strategy 0.704825 Cystoisospora Infection 0.728265 Colorectal Cancer Control 0.773578 Riot Control Agents 0.700585 infection 0.961035 CDC Organization 0.674823 Countermeasure Inventory Tracking 0.67477	Capillaria Infection 0.7662 Clostridium botulinum Infection 0.771077 Clostridium difficile Infection 0.868098 CDC TV 0.676879 Clonorchis Infection 0.747318 C. gattii cryptococcosis 0.685402 Chlamydia psittaci Infection 0.855209 Cytomegalovirus Infection 0.764857 Chronic Disease Indicators 0.743004 Chronic Disease Resources 0.696993 Cat Scratch Disease 0.753766 Chlamydia trachomatis Disease 0.683973 Search The CDC 0.698962 (Campylobacter Infection) 0.792136 Chronic Kidney Disease 0.713515 Vibrio cholerae Infection 0.765964 Cyclospora Infection 0.731733 Chronic Disease Prevention 0.685662 Chronic Wasting Disease 0.680692 Community Health Worker 0.723218 Chlamyophila pneumoniae Infection 0.786428 Classic Creutzfeldt-Jakob Disease 0.785347 urinary tract infection 0.820477 CDC A-Z Index 0.771454	CLICK HERE
6710	Centers for Disease Control and Prevention	Html	en	Evaluation of a telephone-based physical activity promotion program for disadvantaged older adults.	Lack of adequate physical activity among older adults has been widely documented. Although interventions aimed at increasing physical activity that are based on behavioral strategies and theories have been shown to increase activity levels among older adults, little is known about responses to these interventions in different population segments.	PALS participants 0.629335 PALS target communities 0.554556 PALS evaluation 0.635039 physical activity assessment 0.494504 RAPA assessment 0.519908 PALS evaluation team 0.565436 potential participants 0.480321 physical activity standard 0.481323 telephone calls 0.495574 Active Choices 0.505169 physical activity programs 0.48569 PALS 0.822495 SSSC PALS coordinator 0.561673 sedentary older adults 0.56074 ethnically diverse population 0.540724 PALS recruitment 0.529684 physical activity level 0.486775 average PALS 0.526665 PALS stakeholders 0.632043 evaluation team members 0.490003 minimal physical activity 0.485069 PALS participation 0.532901 community-dwelling older adults 0.479911 current PALS coordinator 0.558504 PALS coordinator 0.576477	adequate physical activity 0.496854 PALS intervention 0.54443 physical activity program 0.503573 target audience 0.489855 participant physical activity 0.495852 program’s participants 0.485269 low-income target population 0.49689 PALS telephone buddy 0.591408 PALS program 0.643185 PALS implementation 0.526857 public health 0.48201 participants 0.663926 PALS model 0.621468 target population 0.499139 key PALS stakeholders 0.619488 PALS volunteers 0.579623 6-month RAPA assessment 0.507308 PALS experience 0.562097 physical activity 0.980178 PALS research team 0.556823 PALS program coordinators 0.573976 improved physical activity 0.495286 older adults 0.803463 primary care provider 0.481072	CLICK HERE
7208	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0295	The objective of this study was to use a life course model with multiple competing causes of death to elucidate the ongoing benefits of tobacco-use control efforts on US death rates.	smoking rates 0.581287 cause-specific mortality 0.557534 current cigarette smoking 0.506954 cessation rates 0.757852 National Health Interview 0.529165 smoking smoking initiation 0.606309 smoking reduction efforts 0.530551 lung cancer 0.557148 higher smoking prevalence 0.523026 Smoking behavior 0.518876 smoking status 0.55435 smoking prevalence lead 0.530329 Morb Mortal Wkly 0.504874 age-adjusted smoking prevalence 0.551296 tobacco-use control efforts 0.63654 heart disease 0.522877 life span 0.503768 smoothed cessation rates 0.498477 lifetime smoking prevalence 0.530879 cause-specific mortality rates 0.500467 Health Interview Survey 0.528666 life expectancy 0.945026 smoking cessation 0.555397 smoking intensity 0.509685 smoking prevalence 0.810296	smoking status change 0.519695 death 0.546951 United States 0.660922 life course 0.523322 passive smoking 0.520585 simulated smoking rates 0.532056 MMWR Morb Mortal 0.504877 cigarette smoking 0.520319 life expectancy gains 0.562864 smoking 0.825713 smoking attributable deaths 0.532268 Mortal Wkly Rep 0.501449 Coronary heart disease 0.522308 additional life expectancy 0.524018 life expectancy gain 0.508545 health 0.576705 lifelong smoking vs 0.512162 smoking abstention 0.501972 current smoking status 0.535525 various smoking scenarios 0.522331 reference scenario 0.504571 simulation model 0.512321 mortality 0.642005 annual cessation rates 0.498227	CLICK HERE
7377	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Prevalence, Disparities, and Trends in Obesity and Severe Obesity Among Students in the Philadelphia, Pennsylvania, School District, 2006"2010 - CDC	Epidemic increases in obesity negatively affect the health of US children, individually and at the population level. Although surveillance of childhood obesity at the local level is challenging, height and weight data routinely collected by school districts are valuable and often underused public health resources.	public health issue 0.380007 public school children 0.711358 data 0.459456 school statewide BMI 0.399996 public health resources 0.381484 highest prevalence 0.45466 African Americans 0.38744 students 0.508188 childhood obesity epidemic 0.506479 girls 0.395035 Philadelphia School Reform 0.387732 weight data 0.384567 entire school population 0.382641 New York City 0.592533 school health environments 0.380826 severe obesity face 0.493177 Philadelphia Department 0.389366 African American girls 0.388968 charter schools 0.375512 reduced-price meals 0.372258 public health surveillance 0.373127 obesity prevalence 0.557034 child obesity 0.447745 public health 0.456374	trends 0.382274 school districts 0.38142 Philadelphia public school 0.489967 99th percentile 0.467413 CDC growth charts 0.380632 African American boys 0.389938 reduced-price school meals 0.377851 total school population 0.410375 childhood obesity 0.632244 high school students 0.486796 Philadelphia public schools 0.438199 School Health 0.381695 recent school 0.377437 secure school district 0.389277 Philadelphia data 0.378491 baseline prevalence 0.374738 lower overall prevalence 0.387445 public school students 0.412474 Drexel University School 0.370568 school district 0.627362 severe obesity 0.984599 severe obesity prevalence 0.550575 Philadelphia 0.502399	CLICK HERE
9113	Centers for Disease Control and Prevention	Html	en	Salmonella Enteritidis Infections Associated with FoodsPurchased from Mobile Lunch Trucks - Alberta, Canada, October2010-February 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.	Outbreak SE 0.605111 infected catering employees 0.587025 unlicensed food facilities 0.579961 public health interventions 0.629673 robust health department 0.613551 health department inspections 0.612462 phage type 0.701605 lunch trucks 0.996685 pork dumplings 0.663155 food-handling duties 0.585518 Public Health Agency 0.618334 Alberta Health Services 0.805316 Salmonella Enteritidis 0.637046 Patient food histories 0.578336 food samples 0.598337 laboratory-confirmed Salmonella Enteritidis 0.57603 public health department 0.672647 eggs 0.609492 Human SE outbreak 0.683172 lunch truck customer 0.662534 lunch truck 0.807573 Illness onset dates 0.609553 SE-contaminated eggs 0.582583 lunch truck suppliers 0.656384 cooked pork dumplings 0.58537	employees 0.601162 outbreak cases 0.747226 Alberta public health 0.589856 laboratory culture-confirmed SE 0.596152 local health department 0.578836 caterer 0.60801 human SE infections 0.587084 recent large SE 0.584841 food-handling training courses 0.578927 catering company 0.607933 infected food handlers 0.577496 lunch truck operators 0.644278 public health 0.767468 health department 0.691475 food items 0.601336 SE phage type 0.637302 food 0.674581 local public health 0.637084 food-handling employee training 0.578977 catering facility 0.657561 lunch truck food 0.630597 safe food-handling procedures 0.590717 previously cooked food 0.579774 lunch truck drivers 0.612124	CLICK HERE
10192	Centers for Disease Control and Prevention	Html	en	First Aid Recommendations | Lightning	CDC provides lightning strike first aid recommendations including call for help, assess the situation, respond, and resuscitate with CPR.	average 0.25313 list Skip 0.72381 United States 0.42455 page options Skip 0.942919 mold 0.252047 thunder 0.255266 insects 0.249259 navigation Skip 0.731772 disaster 0.244593 lightning strike injuries 0.791929 times 0.241753	Illnesses 0.252101 cleanup 0.258289 earth 0.241937 carbon monoxide poisoning 0.650553 environmental concerns 0.425608 warning 0.257512 consequences 0.256428 risk 0.239677 animals 0.237091 family 0.242511	CLICK HERE
13112	Centers for Disease Control and Prevention	Html	en	Malaria | Diagnosis and Treatment (UnitedStates)	Education and information regarding diagnosis and treatment of malaria in the United States.	Additional factors 0.508967 pregnancy status 0.506733 clinical advice 0.504273 malaria-endemic area 0.52578 weekends 0.418864 reference microscopic diagnosis 0.615501 individuals 0.419018 malaria treatment 0.725561 malaria parasite 0.740239 urgent issues 0.509701 accurate diagnosis 0.522647 serology 0.430873 clinicians 0.41984 organism 0.421089 probability 0.418749 specialized tests 0.512576 certain antimalarial drugs 0.656908 community 0.418943 person 0.439985 delays 0.421995 parasitic diseases 0.51451 available options 0.506533 PCR 0.420378 infection 0.47125 telediagnosis 0.41822	drug-resistance testing 0.513534 training 0.418207 malaria 0.939307 Health-care providers 0.537105 CDC Malaria Hotline 0.863045 adverse antimalarial drug 0.653438 technical assistance 0.514004 CDC Emergency Operation 0.658167 national reference center 0.610145 disease severity 0.518224 travel history 0.527472 email 0.429085 febrile patients 0.540385 malaria diagnosis 0.791988 Malaria Branch 0.722627 DPDx website 0.521064 24-hour basis 0.505072 Fever 0.421202 spread 0.41802 antimalarial medication 0.563585 malaria cases 0.720004 appropriate treatment 0.524726 species 0.41789 pm Eastern Time 0.58804	CLICK HERE
14493	Centers for Disease Control and Prevention	Html	en	Sodium in Store and Restaurant Food Environments - Guam,2015 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	regular soy sauce 0.4694 Disease Strategic Plan 0.540931 soy sauce 0.907365 lower-sodium foods 0.759246 population-wide sodium reduction 0.41482 regular-sodium soy sauce 0.380074 significant difference 0.420389 small stores 0.701762 sodium reduction 0.563428 lower-sodium products 0.527334 Guam 0.540778 hot dogs 0.449833 Supplemental Nutrition Assistance 0.408428 sodium information 0.438963 Guam Non-Communicable Disease 0.397474 nutrition environment 0.638435 sodium labeling 0.378156 sodium content 0.565565 excess sodium intake 0.561953 regular-sodium products 0.377239 food supply 0.373373 restaurants promoted sodium 0.47442 restaurants 0.540179 sodium measures 0.387653 sodium consumption 0.384633	sodium intake 0.644714 Nutrition Environment Measures 0.39312 dietary sodium 0.369948 Environment Measures Surveys 0.386532 Guam DPHSS 0.406342 soy sauce cost 0.383567 Guam Supplemental Nutrition 0.478281 certain lower-sodium products 0.432316 Lower-sodium food options 0.385297 Nutrition Assistance Program 0.411563 better assess sodium 0.428238 public health 0.468619 cardiovascular disease 0.441085 stores 0.817706 reduced-sodium soy sauce 0.714028 no-salt-added canned vegetables 0.401157 Guam Department 0.382925 sodium reduction efforts 0.534018 higher sodium content 0.420771 mg sodium 0.38413 salad dressing 0.449871 store managers 0.411757 Non-Communicable Disease Strategic 0.551575 large stores 0.46412	CLICK HERE