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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
512	Centers for Disease Control and Prevention	Html	en	Protect Your Baby with Immunization	Immunization is one of the best ways parents can protect their infants from 14 serious childhood diseases before age 2. Check to see if your baby is up to date on immunizations.	country 0.454443 CDC 0.499264 insurance provider 0.480874 administration fee 0.558215 Measles cases 0.552545 children 0.770176 VFC vaccine 0.49545 best protection 0.487405 childhood illnesses—like measles 0.622744 best ways parents 0.591102 young children 0.581464 disease protection 0.499751 eligible child 0.505934 infants 0.46371 childhood diseases 0.508406 following diseases 0.493059 immunization rates 0.51253 unvaccinated U.S. residents 0.567069 recent study 0.498686 eligibility requirements 0.488066 highest risk 0.495036 vaccine website 0.50057 outbreaks 0.504382 U.S. Measles 0.550109	United States 0.904234 immunization schedule 0.816016 vaccines 0.7819 young babies 0.500597 Health page 0.490564 vaccination protection 0.486862 babies 0.508214 potentially life-threatening diseases 0.573156 record high levels 0.565039 vfc program 0.539725 whooping cough deaths 0.611367 VFC vaccines 0.605903 case counts 0.498826 eligible children 0.558035 devastating consequences 0.500644 health insurance plans 0.552469 staff members 0.490569 Visit CDC 0.489502 whooping cough 0.789417 federal program 0.487577 vaccine-preventable diseases 0.784676 family 0.460215 measles 0.635262 childhood vaccines 0.555071	CLICK HERE
4679	Centers for Disease Control and Prevention	Html	en	Seal Up! | Rodents	null	nickel 0.226415 checking 0.213593 small holes 0.81935 trailer skirtings 0.639743 half dollar 0.686582 entry holes 0.741885 house 0.256056 rodents 0.587121 home 0.254806 garages 0.221623 large holes 0.78457 Fix gaps 0.738877	cement 0.208513 lath metal 0.728338 size 0.256646 caulk 0.283913 Outbuildings 0.254392 local hardware store 0.904964 steel wool 0.992687 Mice 0.230663 lath screen 0.752412 rats 0.229588 hardware cloth 0.559968	CLICK HERE
6923	Centers for Disease Control and Prevention	Html	en	Occupational Phosphine Gas Poisoning at Veterinary Hospitals from Dogs that Ingested Zinc Phosphide - Michigan, Iowa, and Washington, 2006-2011	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.	PH3 poisoning 0.878139 veterinary hospital 0.876611 PH3 toxicity 0.596465 Public Health 0.490441 American Veterinary Medical 0.539942 poisoning case definition 0.452063 adverse health effects 0.443818 different veterinary hospitals 0.45474 occupational PH3 poisoning 0.767385 PH3 inhalation 0.647333 veterinary staff members 0.643445 poisoning case 0.465797 female veterinary technician 0.446249 Washington veterinary hospital 0.4706 Washington veterinary association 0.44874 state poison control 0.74047 pet owners 0.541463 phosphine product precautions 0.531259 veterinary hospitals 0.480021 Community Health 0.489147 multiple poisoning symptoms 0.481005 Michigan veterinary hospital 0.471409 poisoning cases 0.43663 staff members 0.959985	Rebecca J. Tsai 0.478448 examination room 0.459516 unintentional rodenticide poisoning 0.459397 health 0.537873 female staff member 0.437575 Veterinary Medical Association 0.538387 Iowa veterinary hospital 0.469875 medical care 0.542828 Washington State Department 0.660181 veterinary hospital staff 0.606654 hospital staff members 0.593459 PH3 exposure 0.619145 snap traps 0.474076 case definition 0.46545 poison control center 0.836542 PH3) gas. 0.60964 alternative methods 0.478196 PH3 0.892691 stomach acid 0.473636 hospital emergency department 0.445177 PH3 poisonings 0.610756 mole control 0.472445 dog 0.440528	CLICK HERE
8405	Centers for Disease Control and Prevention	Html	en	CDC - Caregiving Activities - Aging	Promoting the Health and Well-being of Caregivers for Older Adults	Risk Factor Surveillance 0.97807 prospective caregivers 0.698024 potentially smaller pool 0.659128 family member 0.689271 caregiving status 0.654193 Critical Issue Brief 0.658674 caregiver age 0.651003 Older American Indians 0.656334 Disease Control 0.679729 10-item Caregiver Module 0.788071 care recipient 0.62009 BRFSS survey 0.760287 potential caregivers 0.750934 Communities Face Aging 0.647087 non-Indian caregivers 0.753829 Alaska Native Communities 0.665326 Indian family caregivers 0.802602 general U.S. population 0.66458 Public Health Road 0.660552 Chronic Disease Directors 0.692549 Fewer Caregivers 0.684168 long-term care services 0.692606 Caregiver Ratio Index 0.730119 M. Adult caregivers 0.771423 Behavioral Risk Factor 0.978804	Action Guide 0.821835 Chronic Disease 0.756216 state’s BRFSS 0.616464 Regional Caregiving Reports 0.750167 regular care 0.64517 Alzheimer’s disease 0.626133 Healthy Brain Initiative 0.644394 caregivers 0.838097 IHS Primary Care 0.685012 annual Behavioral Risk 0.693409 Native Adult Caregivers 0.761225 McGuire 0.643282 American Indian/Alaskan Native 0.678382 evidence-based caregiver support 0.745226 50 states 0.622923 indian country 0.649421 traditional family value 0.677376 BRFSS Caregiving module 0.793575 lifelong care 0.622611 caregiver interventions 0.660416 adult day care 0.628056 8-item Caregiving module 0.775473 Dementia Caregivers 0.719227 brfss caregiver module 0.92245	CLICK HERE
8561	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - War Stories, Paul J. Burke	War Stories, The first cases of illness from the 1918 flu pandemic in the United States were reported from Fort Riley, Kansas on March 11 when an Army private became ill; complaining of fever, sore throat, and headache. Military personnel were greatly impacted by the virus and many young recruits were dead from the flu before they ever saw combat.	high school 0.476259 coffins 0.352645 list Skip 0.678267 pandemic flu event 0.712142 recruit training base 0.614829 part–time 0.328173 page options Skip 0.84117 father 0.37868 job selling snacks 0.631516 David P. Burke 0.690262 navigation Skip 0.680546 Waltham 0.343157	Paul J. Burke 0.65685 Fort Devens 0.916481 cars 0.327809 railroad trains 0.53098 Storyteller 0.344441 Massachusetts 0.329074 Masachusetts 0.331189 railroad station 0.477706 time 0.327922 local trains 0.516615 recruits 0.339345	CLICK HERE
9809	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Obesity, Mortality, and Life Years Lost Associated With Breast Cancer in Nonsmoking US Women, National Health Interview Survey, 1997 - 2000 - CDC	The relationship between obesity and breast cancer has been extensively investigated. However, how obesity and breast cancer interplay to affect mortality and life expectancy of women in the United States has not been well studied.	female breast cancer 0.591942 data 0.556346 relevant financial relationships 0.574214 breast cancer diagnosis 0.612124 AMA PRA 0.558602 breast cancer interplay 0.620935 breast cancer deaths 0.583854 life 0.669742 Nonobese breast cancer 0.590024 blacks 0.577294 Linked Mortality Public-Use 0.568308 breast cancers 0.560136 whites 0.573983 breast cancer status 0.634108 premenopausal breast cancer 0.593926 NHIS Linked Mortality 0.567738 breast cancer progression 0.580979 obesity 0.578973 public health 0.570211 racial groups 0.698026 BMI 0.586675 obese racial groups 0.569338 obese whites 0.560589 fewer breast cancer 0.584426	nonobese women 0.575014 breast cancer patients 0.632326 Lisa M. Pollack 0.574835 postmenopausal breast cancer 0.619834 breast cancer 0.973764 relative risks 0.57681 Health Interview Survey 0.556459 Mortality Public-Use Files 0.569783 class III obese 0.568094 breast cancer survivors 0.598396 breast cancer mortality 0.644412 obesity status 0.560355 mortality rate 0.558918 life expectancy 0.57447 Breast cancer information 0.593021 obese blacks 0.564223 breast cancer cases 0.6048 black women 0.56066 obese women 0.641437 obese black woman 0.556758 age 0.578376 women 0.683288 Breast Cancer Res 0.580142	CLICK HERE
11606	Centers for Disease Control and Prevention	Html	en	Meningococcal | Home | CDC	Meningococcal disease can refer to any illness that is caused by Neisseria meningitidis, also known as meningococcus bacteria.	influenza 0.621064 bacteria 0.653478 illnesses 0.624069 fever 0.618464 throat secretions 0.717692 stiff neck 0.699052 type 0.620399 meningococcal vaccines 0.837906 comprehensive information 0.692042 septicemia 0.632317 medical attention 0.700043 close quarters 0.705763 spinal cord 0.706707 meningococcus 0.620291 vomiting 0.62337 illness 0.621182 bacteremia 0.61861 sudden onset 0.701826	meningitis 0.625368 brain 0.618722 risk factor 0.693746 flu 0.620684 nausea 0.62449 Doctors 0.618292 bloodstream infections 0.721708 symptoms 0.630815 meningococcal disease 0.993228 rash 0.624094 best defense 0.697276 Neisseria 0.635406 lining 0.621509 exchange 0.618352 sensitivity 0.621244 headache 0.620433 antibiotics 0.623619	CLICK HERE
12169	Centers for Disease Control and Prevention	Html	en	Meningitis | Lab Manual | Id and Characterization of Neisseria | CDC	Primary Culture and Presumptive Identification Laboratory Methods.	saline 0.447735 filter paper 0.517411 strips 0.437671 saline control 0.424799 cytochrome oxidase 0.419206 antisera bind 0.459437 characterization testing procedures 0.418746 available antisera 0.473704 µl 0.535836 nongroupable N. meningitidis 0.531607 colonies 0.440578 Well-characterized QC strains 0.439456 lower portion 0.41378 oxidase reagent 0.776023 carbohydrate utilization 0.602541 glass slide 0.422348 slide 0.452601 cell suspension 0.468406 individual serogroup-specific antisera 0.509103 proper SASG reaction 0.413641 stock oxidase powder 0.452282 Polyvalent antisera 0.468027 room temperature 0.5144 SASG testing 0.454515 oxidase test 0.493481	example qc sheet 0.461348 Kovac’s oxidase 0.431068 plate 0.41455 N. meningitidis 0.942392 sodium acetate buffer 0.45003 antisera 0.691794 CTA sugars 0.578039 µl inoculation loops 0.519058 negative QC strain 0.502174 5-10 µl 0.446776 different serogroup-specific antisera 0.506842 CTA sugar 0.492406 color change 0.506204 costly antisera 0.490382 carbohydrate utilization test 0.443335 serogroup-specific antisera 0.671632 CTA sugar media 0.481543 saline negative control 0.428869 Figure 0.423715 Carbohydrate utilization tests 0.413996 BAP 0.479971 CTA sugar results 0.414676 N. sicca QC 0.449756 µl disposable loop 0.472446	CLICK HERE
12610	Centers for Disease Control and Prevention	Video	en	Video: CDC Responds to Earthquake in Haiti	CDC Health Scientist Dr. W. Roodly Archer, born in Haiti, is one of the more than 300 CDC employees who has helped Haiti recover after the 2010 earthquake. Hear her story about making a difference in Haiti. 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://www.cdc.gov/globalhealth/video/haiti/haiti.htm	Haiti 0.694955 Earthquake 0.668098	CDC Responds 0.959384	CLICK HERE
15563	Centers for Disease Control and Prevention	Html	en	Type 2 Diabetes: All in the Family?	null	family members 0.716599 risk factors 0.431036 certain habits 0.471154 lifestyle coach 0.431206 share experiences 0.411363 Diabetes Program 0.719725 type 0.365761 mm Hg 0.491318 Family history 0.4361	healthy lifestyle—including 0.436429 good news 0.438084 physical activity 0.435476 National Diabetes Prevention 0.931271 lifestyle changes 0.435169 better checkups 0.462223 high blood pressure 0.727292 CDC Diabetes 0.809017 diabetes 0.972951	CLICK HERE