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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
749	Centers for Disease Control and Prevention	Html	en	Trends in the Prevalence of Excess Dietary Sodium Intake -United States, 2003-2010	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.	average population sodium 0.45004 usual sodium intake 0.833827 in-person dietary recall 0.342744 higher calorie intake 0.432891 sodium density 0.637872 total sample size 0.351391 U.S. civilian population 0.339957 usual excess sodium 0.47743 U.S. children 0.367752 tolerable upper intake 0.44906 dietary recall underestimates 0.339276 usual mean sodium 0.462299 excess sodium intake 0.789053 sodium content 0.478458 mean energy reduction 0.341353 upper intake levels 0.426154 Iowa State University 0.358673 dietary recall data 0.345276 average sodium consumption 0.44825 average energy intake 0.412305 sodium density target 0.450399 sodium consumption 0.472222 sodium intake 0.986588 upper intake level 0.466593	mean U.S. sodium 0.45582 statistically significant declines 0.341296 mean sodium intake 0.568962 excess usual sodium 0.544259 excess intake 0.417014 human milk 0.380895 population sodium intake 0.585983 slight declines 0.36262 sodium intakes 0.448158 linear regression model 0.350875 usual sodium density 0.487627 U.S. sodium intake 0.599514 excess sodium consumption 0.455282 slight decrease 0.350419 energy intake 0.448517 higher sodium intake 0.56109 cycle.§ Sodium intake 0.541885 U.S. population 0.348452 24-hour dietary recall 0.393321 mg sodium 0.442729 mean usual sodium 0.504049 caloric intake 0.393548 sodium intake density 0.589653 average sodium intake 0.5137	CLICK HERE
4706	Centers for Disease Control and Prevention	Html	en	Dengue in Puerto Rico - Dengue	Dengue, Dengue virus, dengue hemorrhagic fever, dengue fever, flavivirus, Aedes mosquitoes, DHF, DF, DSS	citizen involvement 0.25852 innovative methods 0.26023 public health interventions 0.302039 number 0.239477 Disease Control 0.272681 historic data 0.257352 dengue cases 0.783308 U.S. territories 0.267227 PDSS data 0.25557 diagnostic testing 0.258332 Dengue fever 0.483781 large epidemics 0.268751 serum samples 0.259831 weekly summary 0.310256 insect repellent 0.260814 vector control activities 0.303847 household inspections 0.258807 dengue case-patients 0.480337 geographic distribution 0.25522 Puerto Rico 0.913897 U.S. Centers 0.268863 dengue infections 0.648295 clinical information 0.255751 Puerto Rico Department 0.395198 continental United States 0.324868	personal protection 0.260917 dengue outbreaks 0.537802 endemic transmission 0.268636 Prevention 0.211953 PRDH staff 0.257656 pesticides 0.210613 Dengue Branch 0.582031 electronic data 0.25685 Spanish/en español 0.260679 timely medical care 0.310637 Dengue Case Investigation 0.529129 San Juan 0.268196 laboratory-based passive dengue 0.540705 weekly summary report 0.298458 travel-associated dengue infections 0.59698 epidemic dengue activity 0.587917 dengue 0.882504 dengue hemorrhagic fever 0.534527 reportable diseases 0.263833 application 0.21059 municipal level 0.254653 75th percentile 0.261752 DCIR 0.220279 dengue serotypes 0.473597	CLICK HERE
8141	Centers for Disease Control and Prevention	Html	en	Preconception Care, Show Your Love Campaign - Image, Nutrition	null	full-size image,right click 0.975192 Save target 0.792221	Save target as… 0.23338	CLICK HERE
9315	Centers for Disease Control and Prevention	Html	es	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0249	CDC - Wide Page example description goes here	alto nivel 0.651895 mayores imc 0.658733	alta hospitalaria materna 0.811227 diabetes mellitus 0.702365	CLICK HERE
10906	Centers for Disease Control and Prevention	Html	en	Skin Cancer Risk Factors	People with certain risk factors are more likely than others to develop skin cancer.	tan 0.401822 skin cancer 0.575998 skin types 0.300774 risk factors 0.89572 UV rays 0.717972 good health 0.372312 skin type 0.322495 melanin 0.309514 skin 0.938704	pigment 0.253536 people 0.28164 general risk factors 0.627347 different types 0.378571 skin cells 0.329078 certain risk factors 0.643436 highest risk 0.331903 UV exposure 0.439654 outer layers 0.390025	CLICK HERE
11826	Centers for Disease Control and Prevention	Html	en	Procedures for Personal Protective Equipment | EbolaHemorrhagic Fever | CDCInformation for Health Care Workers | EbolaHemorrhagic Fever | CDC	null	PPE donning 0.235618 *EPA-registered disinfectant wipe 0.698566 inner gloves 0.433091 PPE 0.91881 doffing area 0.278533 PPE removal area 0.464752 trained observer 0.273325 patient care area 0.296086	patient care 0.543649 PPE removal process 0.218483 patient room 0.237959 doffing process 0.227205 outer gloves 0.217286 healthcare workers 0.671021 disinfect inner gloves 0.359738 PPE ensemble 0.276263	CLICK HERE
13342	Centers for Disease Control and Prevention	Html	en	Rapid Large-Scale Deployment of Tuberculosis Testing in a High School - Riverside County, California, 2013-2014	Cameron Kaiser, MD1; Barbara Cole, MSN1; Kimberly Saruwatari, MPH1; Ramon Leon, MPH1 (Author affiliations at end of text).	high school 0.554153 latent TB infection 0.522602 initial cohort 0.470318 TB clinic 0.468058 contact investigation 0.495083 health department administration 0.482479 health staff members 0.482913 on-campus clinic 0.488586 tuberculin skin testing 0.473214 skin test results 0.477192 public health department 0.571384 onsite TB testing 0.540512 positive TB test 0.520536 test results 0.664391 public health officer 0.550096 tuberculin skin 0.693701 tuberculin skin tests 0.525083 effective media relations 0.528126 four-drug TB treatment 0.525055 first-line TB medications 0.511157 high school staff 0.484383 persons 0.470952 school term 0.46183 positive tuberculin skin 0.553063 disease control branch 0.522553	positive test results 0.524063 public health information 0.47376 county public health 0.582024 potentially cavitary mass 0.517841 previously known TB 0.508504 California high school 0.480106 county health care 0.472976 directly observed therapy 0.498653 school nursing staff 0.460343 index patient 0.523665 testing operations 0.490847 Riverside Department 0.472715 public health 0.917297 active pulmonary TB 0.530938 TB treatment 0.539335 organized testing operations 0.472927 school staff members 0.658256 staff members 0.860589 health department 0.841347 active TB 0.506447 tuberculin skin test 0.654704 TB 0.64934 on-campus health clinic 0.471226 Riverside County 0.497937	CLICK HERE
15411	Centers for Disease Control and Prevention	Html	en	Assessing Child Obesity and Physical Activity in aHard-to-Reach Population in California&rsquos Central Valley,2012&ndash2013	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.	greater daily MVPA 0.662481 activity intervention effectiveness 0.658624 valid physical activity 0.681912 healthy BMI 0.673689 Latino children 0.660232 physical activity measurement 0.707091 preschool children 0.654508 physical activity quantity 0.69173 physical activity data 0.785793 Measuring physical activity 0.674035 children 0.794519 average MVPA time 0.669231 Familia Sana 0.663812 vigorous physical activity 0.694484 childhood obesity prevention 0.680089 children’s activity 0.68175 body mass index 0.690708 pre-adolescent school-age children 0.654816 physical activity interventions 0.678811 regular physical activity 0.691803 physical activity intervention 0.690404 Healthy Children 0.674475 anthropometric standardization reference 0.657343 MVPA time 0.707475 United States 0.715251	Niños Sanos 0.664234 Accelerometer-derived physical activity 0.673993 daily MVPA time 0.668175 physical activity program 0.695442 energy expenditure 0.686218 Central Valley 0.664988 obese children 0.660103 Polar Active 0.758712 obesity prevention strategy 0.656075 accelerometer-assessed physical activity 0.675836 community-based physical activity 0.677899 Physical activity guidelines 0.675501 average daily MVPA 0.666352 sedentary activity 0.657428 community-based participatory research 0.687988 adequate daily MVPA 0.670649 Mexican origin 0.676707 Latino-American preschool-aged children 0.655431 study population 0.657694 physical activity 0.960621 physical activity patterns 0.707761 childhood obesity 0.774426 current activity intensity 0.659876 daily MVPA 0.702507	CLICK HERE
16143	Centers for Disease Control and Prevention	Html	en	How Medicaid and Other Public Policies Affect Use of TobaccoCessation Therapy, United States, 2010-2014	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.	cessation coverage policies 0.360059 smoking cessation rates 0.37068 tobacco cessation therapies 0.34867 Medicaid policies 0.497882 state medicaid 0.425866 Medicaid’s drug 0.340623 George Washington University 0.331865 cessation medications 0.905478 tobacco cessation 0.678582 Medicaid smoking cessation 0.530172 state 0.455828 Medicaid 0.720048 Medicaid expansions 0.352972 Medicaid utilization rates 0.385065 state Medicaid smoking 0.418461 Broader Medicaid coverage 0.351102 mean cessation utilization 0.330272 Medicaid populations 0.339052 adult Medicaid smokers 0.371239 state Medicaid limitations 0.386211 smoking norms 0.331813 tobacco cessation medications 0.617212 effects 0.327868 State Medicaid programs 0.405713 Medicaid benefit policies 0.453286	Medicaid patients 0.3282 comprehensive Medicaid coverage 0.351917 smoking cessation initiatives 0.366193 medicaid smokers 0.520427 tobacco cessation benefits 0.378022 Medicaid cessation coverage 0.433238 Medicaid tobacco cessation 0.620523 Medicaid beneficiaries 0.409582 cessation utilization 0.338715 states 0.337747 state Medicaid agency 0.384187 Medicaid copayments 0.331531 cessation therapies 0.353907 Medicaid expenditures 0.349403 FDA-approved cessation medications 0.396729 tobacco cessation medication 0.328386 public health programs 0.396053 low-income Medicaid beneficiaries 0.350135 cessation therapy 0.328495 smoking cessation medications 0.439276 nondisabled Medicaid adults 0.357302 Medicaid agencies 0.347877 Medicaid coverage 0.385656 state tobacco policies 0.374608	CLICK HERE
16464	Centers for Disease Control and Prevention	Html	en	Increases in Drug and Opioid-Involved Overdose Deaths -United States, 2010-2015 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	specific drug 0.286821 harm reduction approaches 0.230853 illicit opioids 0.210009 deaths.† Drug overdose 0.206652 opioid subcategories 0.202969 U.S. opioid epidemic 0.278742 age-adjusted death rates 0.270365 commonly prescribed opioids 0.214303 South Carolina 0.20155 states 0.330766 cause-of-death codes 0.220032 percentage points 0.202319 heroin death rates 0.326373 overdose death rates 0.269049 synthetic opioids 0.595594 Prescribing Opioids 0.213799 disorder treatment capacity 0.232735 law enforcement strategies 0.230229 natural/semi-synthetic opioid death 0.214891 overall drug overdose 0.205337 joinpoint regression.¶ Opioid 0.201436	prescription opioids 0.223801 natural/semisynthetic opioids 0.268868 heroin deaths 0.23659 law enforcement 0.250358 natural/semisynthetic opioid deaths 0.269717 specific drug differing 0.233917 overdose death rate 0.203643 drug overdose deaths 0.957639 opioid deaths 0.290846 drug overdose death 0.459399 methadone death rates 0.315366 methadone deaths 0.230934 opioid death rates 0.389762 National Vital Statistics 0.273498 natural/semisynthetic opioid death 0.339992 fewer deaths 0.201421 opioid use disorder 0.210522 overdose death certificates 0.355323 illicit opioid supply 0.294476 death rates 0.847288 opioid overdose death 0.281969	CLICK HERE