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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
499	Centers for Disease Control and Prevention	Html	null	Vaccine Acronyms and Abbreviations LP	*Abbreviations used on U.S. immunization records.			CLICK HERE
5349	Centers for Disease Control and Prevention	Html	en	In-Depth Information - Q Fever	Q fever is a worldwide disease with acute and chronic stages caused by the bacteria Coxiella burnetii.	general public 0.512443 distinct reporting categories 0.59817 IHC 0.422283 contact your state 0.505103 Page 0.439713 rickettsial diseases 0.862092 CDC Case Report 0.867946 state health departments 0.700243 probable cases 0.508503 CDC policy 0.598975 commercial options 0.500445 fever cases 0.62281 CDC scientist 0.638175 additional information 0.504847 epidemiologic consultation 0.495859 local laws 0.513728 u.s. healthcare providers 0.696364 routine diagnostic testing 0.590993 nationally notifiable condition 0.62182 non-u.s. healthcare providers 0.681654 Fever Case 0.614737 chronic Q fever 0.609604 suspect rickettsial case 0.633469 state public health 0.735956 CRF 0.453773	public health laboratories 0.583398 Private citizens 0.500762 suspect case 0.501681 healthcare providers 0.905326 fever 0.807142 National Notifiable Disease 0.607897 local health department 0.617079 different state-specific form 0.597693 additional important information 0.593132 general questions 0.579593 fever surveillance case 0.699854 state health department 0.995438 public health labs 0.591308 PCR testing 0.506656 definition 0.434523 lieu 0.423613 Case Report Form 0.760276 business 0.456351 specimens 0.553988 specimen submission 0.597998 fever testing 0.597776 infected patient 0.494291 fever infections 0.611876 Serum antibody 0.508607	CLICK HERE
7297	Centers for Disease Control and Prevention	Html	en	QuickStats: Ten Most Common Chronic Conditions* Among Persons Living in Residential Care Facilities - National Survey of Residential Care Facilities, United States, 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.	mmwrq@cdc.gov. 0.40469 endorsement 0.346958 residential care facilities 0.952591 Alternate Text 0.394323 Human Services 0.47932 assistive technology 0.411321 U.S. Department 0.47489 MMWR HTML versions 0.459641 identification 0.315643 electronic PDF version 0.455823 e-mail 0.336258 Contact GPO 0.403923 commercial sources 0.392966 dementias 0.354263 osteoporosis 0.340483 current prices 0.387176 persons 0.375931 arthritis 0.338318 original paper copy 0.451238 residents 0.374905 United States 0.397605 original MMWR paper 0.45612 Superintendent 0.316821 assistance 0.318372	title 0.31729 Alzheimer 0.33694 MMWR readers 0.392236 character translation 0.387778 file 0.318488 heart disease 0.484708 National Survey 0.397386 format errors 0.387288 subject line 0.402495 Health 0.331505 typeset documents 0.390827 common chronic conditions 0.825703 trade names 0.393037 official text 0.384891 non-CDC sites 0.390107 high blood pressure 0.652182 report 0.317277 cancer 0.333379 information 0.318502 depression 0.332792 Accommodation 0.317302 electronic conversions 0.385276 printable versions 0.382821 age 0.334824	CLICK HERE
7641	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | State Quitlines and Cessation Patterns Among Adults With Selected Chronic Diseases in 15 States, 2005"2008 - CDC	The death rate of people who have a chronic disease is lower among former smokers than current smokers. State tobacco cessation quitlines are available for free in every state. The objective of our study was to compare demographic characteristics, use of quitline services, and quit rates among a sample of quitline callers.	coronary artery disease 0.585324 state tobacco quitlines 0.570166 7-month follow-up survey 0.580801 smoking-related chronic disease 0.629073 current tobacco user 0.556474 intent-to-treat quit rates 0.554424 NRT 0.577918 tobacco control programs 0.581081 Disease Control 0.57695 tobacco cessation quitlines 0.600051 lower quit rates 0.577329 tobacco users 0.739006 logistic regression 0.56335 State tobacco cessation 0.582806 American Quitline Consortium 0.571197 clinical practice guideline 0.585511 single disease groups 0.5535 asthma 0.587648 disease groups 0.561788 survey response rates 0.55425 smoking cessation 0.55502 chronic disease 0.967905 North American Quitline 0.571595 state tobacco quitline 0.56661 obstructive pulmonary disease 0.58361	chronic disease staff 0.591651 study 0.587775 chronic disease vs 0.601303 African American callers 0.597712 quitline callers 0.646449 multicall program 0.604331 cessation treatment 0.554603 quitline services 0.594618 uninsured callers 0.589021 heart disease 0.558389 chronic diseases 0.786927 chronic disease programs 0.604295 counseling calls 0.559553 following chronic diseases 0.596069 quit rates 0.64381 Chronic Disease Prevention 0.59331 30-day quit rates 0.598114 7-day quit rates 0.556826 chronic disease status 0.652695 Public Health Service 0.582769 higher quit rates 0.554747 callers 0.791207 randomly selected callers 0.603405 state quitlines 0.66584	CLICK HERE
9890	Centers for Disease Control and Prevention	Html	en	What Is Lung Cancer?	An overview of lung cancer, how it spreads, and the two main types.	main types 0.552337 organ 0.438409 organs 0.500822 disease 0.439882 cancer cells 0.541447 control 0.43957 body 0.478059 brain 0.435683	lung cancer 0.967445 metastases 0.455432 nodes 0.449239 cell lung cancer 0.853114 small cell lung 0.754205 National Cancer Institute 0.658584 lungs 0.602042 Non-small cell lung 0.803063	CLICK HERE
13398	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Measles Transmission in anInternational Airport at a Domestic Terminal Gate - April-May2014	Emily Banerjee, MPH1; Cynthia Hickman, MPH1; Kathryn Engels1; Cynthia Kenyon, MPH1 (Author affiliations at end of text).	CDC 0.33891 Measles transmission 0.540531 Minnesota Department 0.604182 flight exposures 0.350357 Chicago airport 0.332 international flight 0.355021 Zoonotic Infectious Diseases 0.443162 immunoglobulin M serology 0.688206 Health Public Health 0.560995 Minneapolis Quarantine Station 0.437036 National Center 0.416822 classic clinical presentation 0.422413 County Public Health 0.588604 improper vaccine storage 0.455349 Minnesota hospital 0.335876 serology result 0.345218 Dakota County Public 0.440956 infectious droplets 0.349889 gate area 0.444138 Massachusetts Department 0.536469 primary vaccine failure 0.444214 child 0.480188 Public Health Laboratory 0.707296 Public Health 0.919258 Ramsey County Public 0.439039	corresponding nucleotide sequences 0.432896 United States 0.341072 infectious period 0.336551 Kathryn Engels 0.352352 Minnesota resident 0.341668 secondary vaccine failure 0.441922 Cynthia Hickman 0.350007 Massachusetts hospital 0.331885 Cynthia Kenyon 0.348728 Emily Banerjee 0.488624 rubella vaccine 0.500681 Public Health Department 0.591508 polymerase chain reaction 0.729382 Hennepin County Human 0.430495 Author affiliations 0.346882 acute immunoglobulin 0.346742 domestic flights 0.457136 international travel 0.341206 Global Migration 0.456733 potentially exposed persons 0.457047 unknown vaccination status 0.443386 highly communicable disease 0.438147 rash onset 0.365305 measles 0.810893	CLICK HERE
13448	Centers for Disease Control and Prevention	Html	en	Knowledge and Attitudes Regarding Antibiotic Use Among AdultConsumers, Adult Hispanic Consumers, and Health Care Providers -United States, 2012-2013	Louise K. Francois Watkins, MD1,2; Guillermo V. Sanchez, MPH2; Alison P.	Antibiotics Work 0.491434 Guillermo V. Sanchez 0.470324 Estilos survey participants 0.492019 antibiotic prescription 0.52828 adult consumers 0.567251 health care provider 0.540936 family member 0.471529 potential participants 0.474333 Louise K. Francois 0.527623 Estilos survey questions 0.478422 national internet survey 0.483268 non-Hispanic consumers 0.545549 health care providers 0.666114 antibiotic self-administration 0.504469 response rate 0.502844 primary care physicians 0.473082 judicious antibiotic prescribing 0.530062 Community Survey data 0.475484 adverse drug events 0.515289 Hispanic communities 0.495293 patient expectations 0.499002 acculturation status 0.471395 K. Francois Watkins 0.52857 antibiotics 0.618656 Lauri A. Hicks 0.470574	antibiotic side effect 0.51328 Estilos survey 0.497111 United States 0.631401 HealthStyles survey participants 0.493564 low survey response 0.468388 neighborhood grocery store 0.528046 Hispanic consumers 0.920102 Hispanic respondents 0.500117 public health initiatives 0.525645 Alison P. Albert 0.468085 antibiotic resistance 0.638327 health care 0.735457 health care visit 0.479052 survey data 0.498844 U.S. consumers 0.535915 DocStyles survey participants 0.486837 over-the-counter antibiotic availability 0.533916 Hispanic subgroups 0.492286 Epocrates Allied Health 0.479006 Population Survey data 0.473595 national Hispanic population 0.519231 Hispanic consumer respondents 0.529053 leftover antibiotics 0.497588 adult Hispanic consumers 0.648253	CLICK HERE
13635	Centers for Disease Control and Prevention	Html	en	Caring for Someone Sick with Influenza	The flu is a contagious respiratory disease that can cause mild to severe illness, and can even lead to death - CDC	rest 0.27701 hands 0.335114 chin 0.272349 tissues 0.27175 alcohol-based hand rub 0.664779 sick person 0.926219 people 0.258366 house 0.25821 home 0.26396	face 0.277354 sick children 0.576214 Wash 0.304902 laundry 0.264433 close contact 0.747259 time 0.254732 shoulder 0.268717 Stay 0.27855	CLICK HERE
14102	Centers for Disease Control and Prevention	Html	en	HAN Archive - 00387|Health Alert Network (HAN)	Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC).	influenza 0.908849 influenza diagnostic test 0.635436 CDC Health Alert 0.436624 recent influenza season—the 0.573045 epidemiologic field studies 0.389096 United States 0.396049 false negative results 0.398109 symptom onset 0.4233 H1N1pdm09 virus infection 0.407415 2015-2016 influenza vaccines 0.576338 empiric antiviral therapy 0.483304 sickle cell disease 0.392866 influenza vaccine formulation 0.61257 influenza antiviral medications 0.687362 influenza virus infection 0.581869 influenza B viruses 0.578924 Seasonal influenza 0.531363 middle-aged adults 0.400965 prompt antiviral treatment 0.483448 intensive care unit 0.398314 influenza-associated medical visits 0.385099 influenza vaccine options 0.615573 severe influenza illness 0.667253 spinal cord injury 0.387264	influenza morbidity 0.572245 antiviral treatment decisions 0.484174 influenza activity 0.614566 patients 0.414371 national surveillance systems 0.388222 antigen detection tests 0.396443 influenza vaccination 0.552413 2015-2016 influenza season 0.612394 influenza complications 0.555159 influenza seasons 0.57597 vaccine effectiveness 0.390186 antiviral treatment 0.848138 influenza viruses 0.608005 negative RIDT results 0.401459 severe respiratory illness 0.426899 Early antiviral treatment 0.566999 high risk 0.399973 influenza virus 0.58519 long-term aspirin therapy 0.388731 clinical judgment 0.386517 illness onset 0.456424 RT-PCR testing results 0.409681 influenza diagnosis 0.56594	CLICK HERE
15368	Centers for Disease Control and Prevention	Html	en	Rural Adults' Perspectives on School Food in a North Carolina County	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.	North Carolina 0.438276 school meal guidelines 0.214803 key informant interviews 0.397561 portion sizes 0.223961 appealing school food 0.228128 fruit 0.227906 vegetable consumption 0.800603 school meals 0.259499 vegetables 0.35564 rural North Carolina 0.227361 school food 0.99393	Chapel Hill 0.210691 school cafeteria staff 0.271144 fruits 0.366214 children 0.311953 federal school meal 0.216707 elementary school food 0.27315 school lunch 0.391972 cafeteria staff member 0.202028 cafeteria staff 0.61355 current school food 0.323594 elementary school children 0.229967	CLICK HERE