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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
686	Centers for Disease Control and Prevention	Html	en	Quit Smoking - Smoking & Tobacco Use	Quitting smoking has immediate as well as long-term benefits, reducing risks for diseases caused by smoking and improving health in general. This section provides resources such as, quit tips, quit plans, and educational materials that support your effort to quit smoking.	free quit coaching 0.940691 referrals 0.318126 free quit plan 0.924865	free educational materials 0.700693 local resources 0.494791	CLICK HERE
1246	Centers for Disease Control and Prevention	Html	en	Prevalence of Nodding Syndrome — Uganda, 2012–2013	Preetha J. Iyengar, MD1, Joseph Wamala, MD2, Jeffrey Ratto, MPH3, Curtis Blanton, MS3, Mugagga Malimbo, MS2, Luswa Lukwago, PhD2, Steven Becknell, MPH4, Robert Downing, PhD4, Sudhir Bunga, MD3, James Sejvar, MD5, Issa Makumbi, MD2 (Author affiliations at end of text).	case definition modifications 0.500425 NS symptoms 0.566105 sexual development 0.504658 probable case definition 0.593574 head nodding frequency 0.561803 NS questions 0.544328 consensus case definition 0.838975 simple random sampling 0.469166 International Scientific Meeting 0.47303 probable NS cases 0.919869 Preetha J. Iyengar 0.543113 Nodding Syndrome 0.49141 village health teams 0.476907 NS cases 0.928452 central meeting point 0.470332 population-based prevalence assessment 0.503144 children 0.491047 future studies 0.475175 probable cases 0.529696 target sample size 0.469236 northern Uganda districts 0.501223 nodding episode 0.490429 NS investigations 0.580984 major criterion 0.503728	northern Ugandan districts 0.538567 head nodding cases 0.551746 atonic seizures 0.478287 head nodding 0.610453 South Sudan 0.565034 episodic head nodding 0.548266 Global Health 0.482387 meeting point 0.472454 repetitive involuntary drops 0.470855 additional seizure types 0.479021 minor criterion 0.592862 standardized case definition 0.525604 Statistics census data 0.473743 single-stage cluster 0.483612 persons 0.480658 standardized questionnaire 0.475338 single-stage cluster survey 0.478205 case definition 0.967651 possible NS cases 0.596496 NS prevalence 0.562597 health-care resources 0.478844 census survey data 0.474575 seizure disorder 0.478846	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
7811	Centers for Disease Control and Prevention	Html	en	Pandemic Flu - Health Communication	Gateway to Health Communication and Social Marketing Practice - Pandemic Flu	hospital staff 0.732807 influenza pandemic occurs 0.995032 individuals 0.370675 economic loss 0.480648 preparation checklists 0.458779 good health habits 0.606452 specific consequences 0.47402 balanced diet 0.461004 greatest risk 0.467083 daily life 0.47668 Health care facilities 0.620075 age groups 0.476133 short time 0.498836 public transportation 0.474881 global disease outbreak 0.676419 substantial percentage 0.471484 new influenza virus 0.730242 Tamiflu stock 0.475896 business closings 0.479658 young adults 0.474924 basic services 0.477746 food delivery 0.477505 optimal health 0.472768 Influenza pandemics 0.587566 sufficient rest 0.46361	high levels 0.481029 isolated incident 0.463235 annual influenza—will 0.474594 immunity 0.384818 Difficult decisions 0.459841 possible pandemic 0.711393 world 0.362157 local hospitals 0.44987 illness 0.442467 social disruption 0.497584 local hospital 0.462217 surveillance records 0.451504 underlying health conditions 0.629366 severe influenza pandemic 0.977532 health department 0.567366 antiviral drugs 0.653597 past century 0.484763 flu cases 0.468799 medical care 0.468074 larger problem 0.455854 people 0.397838 local public health 0.597045 vaccine 0.370079 pandemic outbreak 0.74866	CLICK HERE
9344	Centers for Disease Control and Prevention	Html	es	La incidencia y carga económica de la amputación isquémica en Minnesota, 2005-2008	null	Baumgartner I 0.913865 9.a edición 0.825766 Oldenburg NC 0.874249 altas hospitalarias 0.890197 arteriopatía periférica 0.826245 Jaff MR 0.950692	Keo HH 0.915969 Duval S 0.895899 alto costo 0.778269 altas tasas 0.820533 alta tasa 0.759753 Chronic Dis 0.91087	CLICK HERE
12004	Centers for Disease Control and Prevention	Html	en	Long-Term Care Toolkit: Snapshot of Healthcare Personnel in Long-term Care	Snapshot: Health Care Personnel in Long-term Care - CDC	United States 0.423395 hands-on LTC 0.451733 body substances 0.444835 long-term care 0.444065 Page 0.339281 orderlies 0.322153 air 0.324335 personal care aides 0.592074 nursing aides 0.592063 licensed practical nurses 0.535099 personal assistance 0.412078 number 0.341148 attendants 0.329083 nursing home residents 0.51788 pages 0.344108 dressing 0.322915 MB 0.32305 environmental surfaces 0.44095 KB 0.327411 LTC sector 0.443701 unpaid persons 0.452157 daily living 0.412666 workforce 0.324971	health care personnel 0.959182 home health aides 0.772475 health-care settings 0.449716 vulnerable populations 0.422914 potential 0.324573 residential care places 0.531188 estimates 0.32292 National Center 0.42466 patients 0.324536 infectious materials 0.442428 equipment 0.324408 home care services 0.532988 adult day care 0.42448 people 0.342669 long-term HCP 0.507157 nursing facilities 0.424288 medical supplies 0.442596 Health Statistics 0.433107 bathing 0.324738 HCP 0.508811 exposure 0.323679 annual influenza vaccination 0.535341 nursing assistants 0.421598	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
13579	Centers for Disease Control and Prevention	Html	en	Calendar | Meaningful Use | CDC	null	FACA Committees 0.286153 Collaboration Initiative Monthly 0.362374 CDC 0.255742 recommendations 0.240765 subcommittees 0.246103 –Electronic Health Records 0.363851 Joint Public Health 0.359598 Public Health Agencies 0.358252 potential barriers 0.295058 Disease Control 0.438369 Nationwide Monthly Webinar 0.37524 average attendance 0.306486 Federal Advisory Committee 0.450941 HIT Standards Committee 0.350566 Monthly Webinar Series 0.587075 Health Records 0.375092 Public Health Forum 0.352737 workgroups 0.273973 Vendors Collaboration Initiative 0.541488 public health objectives 0.344974 Reinvestment Act 0.262571 open forum 0.293694 Advisory Committee Act 0.300364 national coordinator 0.529376 Electronic Health Records 0.35949	Office 0.260544 Initiative Monthly Webinar 0.368887 health information infrastructure 0.266319 ONC 0.270606 Public Health associations 0.358196 meaningful use objectives 0.297342 Scheduled 0.262504 Prevention 0.260504 respective parent FACA 0.358744 HIT Policy Committee 0.395116 Health Information Exchanges 0.363024 parent FACA committee 0.345058 State Health Information 0.363322 public health 0.916105 ehr vendors 0.478035 initial focus 0.300474 implementation 0.251797 American Recovery 0.265164 Public Health Practitioners 0.349741 monthly webinars 0.297355 meeting schedule 0.292257 eligible healthcare professionals 0.386192 Regional Extension Centers 0.376055 PH 0.377504	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