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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5252	Centers for Disease Control and Prevention	Html	en	Misclassification of Survey Responses and Black-White Disparity in Mammography Use, Behavioral Risk Factor Surveillance System, 1995-2006	null	race-specific prevalence estimates 0.53128 estimated prevalence 0.473621 Risk Factor Surveillance 0.544557 mammography differ 0.513109 self-reported mammography questions 0.544442 mammography use questions 0.515346 self-report mammography 0.498737 Prev Med 0.561218 weighted prevalence estimates 0.487283 breast cancer incidence-mortality 0.489571 mammography 0.721526 annual BRFSS prevalence 0.47975 race-specific mammography 0.517523 low-income African-American women 0.500896 mammography practices 0.491936 BRFSS mammography data 0.544253 cancer death rates 0.507242 white women 0.906846 black women 0.874535 Behavioral Risk Factor 0.546548 self-reported mammography behavior 0.524462 mammography use data 0.557257 mammography survey questions 0.521664 BRFSS race-specific prevalence 0.49464	breast cancer death 0.512653 mammography use rates 0.577216 BRFSS prevalence estimates 0.524543 self-reported mammography 0.667469 prevalence estimates 0.59477 Health Care Women 0.486823 K. Mammography self-report 0.512619 self-reported data 0.476331 specificity 0.509783 screening mammography 0.49425 mammogram 0.501181 cancer incidence-mortality paradox 0.477477 Healthy People 0.562213 mammography prevalence 0.518986 public health 0.490486 age-adjusted prevalence estimates 0.491144 breast cancer survival 0.483342 breast cancer 0.74837 mammography claims 0.489707 sensitivity + specificity 0.488462 non-Hispanic white women 0.509258 et al 0.489707 data overestimate mammography 0.542606 Women’s Health 0.482379	CLICK HERE
5415	Centers for Disease Control and Prevention	Html	en	Associations between colorectal cancer screening and glycemic control in people with diabetes, Boston, Massachusetts, 2005-2010.	null	poorly controlled diabetes 0.262916 colorectal cancer 0.953565 average hba1c 0.234882 glycemic control 0.537073 patients 0.274227 good glycemic control 0.221851 end-stage renal disease 0.204468 people 0.207642	Boston University School 0.236927 primary care visits 0.62151 poor glycemic control 0.248075 colorectal cancer screening 0.790177 lower colorectal cancer 0.211173 diabetes 0.262924 HbA1c 0.251296	CLICK HERE
5603	Centers for Disease Control and Prevention	Html	en	Vinylidene chloride - 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
7026	Centers for Disease Control and Prevention	Html	en	Section 919 of the Federal Food, Drug, and Cosmetic Act -User Fees	null	Drug Administration programs 0.480614 particular class 0.453501 fees 0.751292 United States Code 0.553233 Reimbursed Amounts 0.457849 total user fee 0.499764 tobacco regulation activities 0.722299 Tobacco Control Act 0.618031 section 0.550954 Available Fee Collections 0.490845 subparagraph 0.457855 amounts 0.461104 tobacco product manufacturers 0.514063 percentage shares 0.463352 percentage share 0.631499 total user fees 0.503447 tobacco products 0.944393 Drug Administration salaries 0.484746 user fee 0.563992 Federal agency 0.489238 assess user fees 0.515453 General 0.512089 Family Smoking Prevention 0.598976 Unpaid Fees 0.456627 paragraph 0.567195	importer 0.509056 chapter 0.479196 subsection 0.707432 applicable percentage 0.551787 Secretary 0.593013 Drug Administration 0.707647 United States Government 0.484089 fiscal year limitation 0.559339 user fee assessment 0.499394 appropriate Federal agency 0.484701 expenses appropriation account 0.486477 Public Law 0.505795 quarterly fee 0.536211 user fees 0.746127 class 0.540414 Food 0.473934 clause 0.503109 necessary information 0.484522 costs 0.454356 tobacco product 0.570105 pro rata fees 0.492101 Fee Collected 0.454961 start-up period 0.568166 current quarter 0.456306	CLICK HERE
8557	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - In Memorial, Sally Repass Roman	In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss.	list Skip 0.845363 old home place 0.718447 Taylor 0.344437 Sally Repass Roman 0.854052 grandmother 0.378197 page options Skip 0.966599 winter 0.339956 navigation Skip 0.854491 flu 0.363877	Tunnel Hill 0.544329 Russell County 0.535925 children 0.338518 Storyteller 0.369131 Alfred Roman 0.606943 family plot 0.529344 son′s 0.339585 Virginia 0.377943	CLICK HERE
11889	Centers for Disease Control and Prevention	Html	en	Pertussis | Whooping Cough | Prevention | CDC	Preventing Pertussis	CDC 0.431331 bacteria 0.430591 Español 0.422242 Pediatr Infect Dis 0.537961 best way 0.490245 pertussis 0.941554 preventive antibiotics 0.546979 tetanus 0.470487 children 0.432141 pregnant woman 0.534386 observational studies 0.480172 lifelong protection 0.476961 increased risk 0.473257 pertussis vaccines 0.788617 preventative antibiotics 0.486296 diseases 0.443062 pertussis spreads 0.673687 Englund JA 0.480526 Pregnant women 0.481431 high risk 0.486807 pertussis vaccine 0.80794 fades 0.42406 Pertussis Vaccine Site 0.792345 United States 0.484299	adults 0.449693 future pertussis infections 0.765489 contained protection 0.480115 babies 0.453612 teens 0.453504 booster 0.432698 local health department 0.540783 infected people 0.487286 following groups 0.477777 close contact 0.467663 combination vaccine 0.503027 good hygiene 0.529742 diphtheria 0.472332 Wendelboe 0.419785 Vaccine protection 0.501649 disease 0.427993 preteens 0.419696 respiratory illnesses 0.531468 Rie 0.419765 pertussis complications 0.738834 doctor 0.445284 natural infection 0.470381 pertussis vaccination 0.698534 baby 0.424473	CLICK HERE
13608	Centers for Disease Control and Prevention	Html	en	Multistate Outbreak of Salmonella Poona Infections Linked to Imported Cucumbers	Multistate Outbreak of Salmonella Poona Infections Linked to Imported Cucumbers	CDC 0.261663 outbreak strains 0.570849 illnesses 0.401005 Antimicrobial Resistance Monitoring 0.293575 Human Services 0.267278 San Diego County 0.26772 number 0.284101 Williamson Fresh Produce 0.650812 ill persons 0.269879 state 0.292155 Arizona 0.309367 Montana 0.263491 median age 0.37594 Andrew 0.280653 new ill people 0.314924 California 0.360756 public health officials 0.498835 salmonella infection 0.398335 National Antimicrobial Resistance 0.290417 Texas 0.309709 person 0.277281 time public health 0.328614 pulsed-field gel electrophoresis 0.265316 Human Services Agency 0.261072	Reporting Cases 0.348642 ill people 0.982113 Oklahoma 0.292036 antibiotic resistance testing 0.325701 percent 0.300233 South Carolina 0.385603 states 0.334908 illness clusters 0.276919 retail locations 0.308645 North Dakota 0.374948 public health 0.583678 illness 0.291785 Nevada 0.263626 New York 0.341305 unrelated ill persons 0.265079 South Dakota 0.284694 Fresh Produce facility 0.285091 local public health 0.308154 food 0.276466 Salmonella Poona 0.525131 cucumbers 0.520498 New Mexico 0.38023 available information 0.348854 information 0.372057	CLICK HERE
15337	Centers for Disease Control and Prevention	Html	en	Salmonella and Food | CDC Features	You may know that Salmonella can contaminate poultry and eggs but it also sneaks its way into many other foods – ground beef, tuna, pork, tomatoes, sprouts, and even peanut butter. Learn what you can do to make your food safer to eat.	Sanitize food contact 0.548876 chicken nuggets 0.49287 nut butters 0.490157 Salmonella 0.992126 foods 0.657842 chicken entrees 0.493236 Salmonella causes 0.668057 unrefrigerated foods 0.499351 liquid chlorine bleach 0.540103 Salmonella infection 0.88058 frozen pot pies 0.560597 pregnant women 0.479727 immune systems 0.565919 young children 0.47835 foodborne illnesses 0.57985 eggs 0.748758 antibiotic treatment 0.485855 severe diarrhea 0.487831 Chill guidelines 0.478914 foodborne illness 0.517831 food poisoning. 0.504485 medical conditions 0.482554 deli meat 0.492779 perfectly normal-looking eggs 0.610046 United States 0.497388	wash raw poultry 0.564288 food item 0.482055 kidney disease 0.480643 raw meat 0.715967 ground beef 0.493947 separate cutting boards 0.543209 certain people 0.484911 local health department 0.551596 ready-to-eat foods 0.493828 Wash hands 0.478659 uncooked eggs 0.539793 ideal conditions 0.483542 Salmonella illness 0.920806 freshly made solution 0.479699 food poisoning 0.55564 raw tuna 0.500793 stomach cramps 0.488318 Warmer weather 0.490369 peanut butter 0.497167 soapy water 0.567442 people 0.506138 food 0.616107 Wash utensils 0.480461 older adults 0.562254	CLICK HERE
16276	Centers for Disease Control and Prevention	Html	en	FastStats - Chronic Obstructive Pulmonary Disease (COPD) Includes: Chronic Bronchitis and Emphysema	null	Summary Health Statistics 0.642778 Emergency Department Summary 0.635105 United States 0.615591 potential life 0.522644 Final Data 0.521537 emphysema deaths 0.740187 adults 0.557793 Care Survey 0.529756 National Health Interview 0.642021 Source 0.476621 tables 0.476346 Number 0.573166 Hospital Ambulatory Medical 0.64821 chronic lower respiratory 0.814803	death rank 0.526601 lower respiratory diseases 0.897203 race 0.441096 Percent 0.468423 Hispanic origin 0.622362 Hispanic origin Health 0.614449 sex 0.441131 asthma 0.558991 emergency departments 0.527937 selected causes 0.517212 population 0.503819 U.S. Adults 0.53507 chronic bronchitis 0.955232 Age-adjusted death rates 0.625746	CLICK HERE
16337	Centers for Disease Control and Prevention	Html	en	FastStats - Obstetrical Procedures	null	Final Data 0.57111 Births 0.412196 Procedures 0.346371 National Hospital Discharge 0.954057 Source 0.367872 Survey 0.347119	PDF 0.363963 Number 0.345474 MB 0.396631 KB 0.425904 procedure category 0.687702 selected patient characteristics 0.864322	CLICK HERE