| 499 |
Centers for Disease Control and Prevention |
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Vaccine Acronyms and Abbreviations LP |
*Abbreviations used on U.S. immunization records. |
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| 686 |
Centers for Disease Control and Prevention |
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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 |
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| free educational materials | 0.700693 |
| local resources | 0.494791 |
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| 7415 |
Centers for Disease Control and Prevention |
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Emergency and Environmental Health Services: Improving the Practice of Environmental Health |
NCEH provides leadership to promote health & quality of life by preventing or controlling those diseases or disabilities resulting from interaction between people and the environment. Site has information/education resources on a broad range of topics, including asthma, birth defects, radiation, sanitation, lead in blood, and more. |
| cruise ship industry | 0.582846 |
| Health Services advances | 0.641406 |
| Technical expertise | 0.446088 |
| Surveillance data | 0.439076 |
| sanitation inspections | 0.470169 |
| chemical warfare agents | 0.997802 |
| environmental health programs | 0.604549 |
| Monitors gastrointestinal illnesses | 0.569315 |
| highest risk children | 0.552676 |
| Safe Water | 0.442415 |
| foodborne illnesses | 0.455429 |
| National Center | 0.461629 |
| cruise ship | 0.604093 |
| construction inspections | 0.436695 |
| Vessel Sanitation Program | 0.588778 |
| U.S. disposal facility | 0.573039 |
| emergency preparedness | 0.461868 |
| chemical weapons elimination | 0.853621 |
| safe disposal | 0.459915 |
| Blue Grass | 0.43691 |
| response efforts | 0.453888 |
| practice-based research | 0.447491 |
| limited resources | 0.439847 |
| lead exposure | 0.448234 |
| Poisoning Prevention Program | 0.614092 |
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| highly hazardous chemicals | 0.559811 |
| environmental public health | 0.680933 |
| Control Communicable Diseases | 0.541855 |
| Environmental Health/Division | 0.486092 |
| United States | 0.461337 |
| prevents childhood | 0.459838 |
| program’s resources | 0.460408 |
| Weapons Elimination team | 0.58017 |
| health departments | 0.473101 |
| funded program | 0.477027 |
| U.S. Army | 0.445945 |
| public health | 0.796779 |
| Lead surveillance | 0.464119 |
| recreational water | 0.437027 |
| cruise ships | 0.465012 |
| nonstockpile chemical warfare | 0.614546 |
| environmental health practitioners | 0.602843 |
| Healthy community design | 0.582912 |
| public health practices | 0.588732 |
| Public Health Service | 0.583703 |
| childhood lead poisoning | 0.86423 |
| independent oversight | 0.446432 |
| lead poisoning prevention | 0.852702 |
| technical guidance | 0.458386 |
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| 7641 |
Centers for Disease Control and Prevention |
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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 |
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| 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 |
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Centers for Disease Control and Prevention |
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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 |
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| 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 |
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Centers for Disease Control and Prevention |
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The Immunization Baby Book (4:16) |
For parents there's no greater joy then watching your child grow up happy and healthy. That's why most parents choose the safe, proven protection of vaccines. |
| National Center | 0.51992 |
| baby book | 0.522184 |
| Immunization | 0.441879 |
| vaccines babies | 0.579397 |
| greater joy | 0.547986 |
| childhood diseases | 0.517617 |
| protection | 0.345664 |
| visit https://www.cdc.gov/vaccines/parents | 0.524881 |
| feedback | 0.342894 |
| preparedness topics | 0.794775 |
| variety | 0.394424 |
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| children | 0.392653 |
| safety | 0.394208 |
| Respiratory Diseases | 0.51405 |
| safe | 0.345741 |
| different audiences | 0.779248 |
| public health professionals | 0.976221 |
| CDC-TV videos | 0.679996 |
| comment | 0.34489 |
| information | 0.342774 |
| power | 0.343494 |
| age | 0.343218 |
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Centers for Disease Control and Prevention |
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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 |
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| 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 |
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Centers for Disease Control and Prevention |
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Calendar | Meaningful Use | CDC |
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| 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 |
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| 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 |
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Centers for Disease Control and Prevention |
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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 |
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| 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 |
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Centers for Disease Control and Prevention |
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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 |
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| 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 |
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CLICK HERE |