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Cessation - Smoking & Tobacco Use |
Links to cessation guides, quitline resources, and case studies with comprehensive treatment options. |
| comprehensive cessation benefit | 0.384661 |
| academic detailing | 0.319785 |
| tobacco cessation approaches | 0.523297 |
| Harvard Vanguard Medical | 0.3042 |
| State University Health | 0.306852 |
| Wisconsin Tobacco Prevention | 0.431385 |
| state tobacco prevention | 0.428114 |
| cessation interventions | 0.399943 |
| cessation topics | 0.371846 |
| state quitline capacity | 0.330202 |
| tobacco cessation | 0.936215 |
| tobacco control programs | 0.663952 |
| health care providers | 0.321999 |
| tobacco quitlines | 0.367019 |
| tobacco cessation coverage | 0.603362 |
| Vanguard Medical Associates | 0.307122 |
| health systems | 0.385243 |
| comprehensive state tobacco | 0.4594 |
| Asked Questions | 0.320541 |
| Prevent Tobacco | 0.361848 |
| national tobacco education | 0.393365 |
| case study | 0.395545 |
| Tobacco Use Cessation | 0.561493 |
| tobacco control cessation | 0.651448 |
| CDC-funded cooperative agreement | 0.326454 |
|
| tobacco dependence treatment | 0.475999 |
| cessation treatments | 0.375901 |
| Tobacco Cessation Quitlines | 0.555308 |
| control cessation activities | 0.426327 |
| Tobacco Research | 0.370207 |
| tobacco cessation activities | 0.530726 |
| tobacco use identification | 0.363028 |
| Medicaid cessation coverage | 0.399817 |
| Hearts® Tobacco Cessation | 0.500992 |
| Comprehensive Tobacco Control | 0.456795 |
| Louisiana State University | 0.31941 |
| Medicaid Tobacco Cessation | 0.534364 |
| KB | 0.301176 |
| tobacco dependence | 0.492278 |
| tobacco cessation insurance | 0.539196 |
| health care | 0.325194 |
| public health | 0.309763 |
| state tobacco control | 0.676203 |
| Cessation Technical Assistance | 0.406751 |
| tobacco assessment | 0.364873 |
| tobacco control organizations | 0.498156 |
| youth cessation programs | 0.370054 |
| best practices | 0.306364 |
| Tobacco Control Initiative | 0.445581 |
|
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Centers for Disease Control and Prevention |
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Recent Publications - Injections Safety |
This page lists recent injection safety related publications |
| new infections | 0.529227 |
| inform health professionals | 0.806898 |
| York | 0.338691 |
| myelogram procedures | 0.603756 |
| Diabetes Science | 0.534124 |
| Case-control study | 0.571442 |
| media | 0.341621 |
| parenteral medication vials | 0.779208 |
| PDF | 0.359442 |
| CDC conducts | 0.585942 |
| public | 0.341512 |
| healthcare exposures | 0.549334 |
| KB | 0.428513 |
| supports research | 0.570918 |
| intrapartum spinal anesthesia—New | 0.766187 |
| viral hepatitis | 0.665611 |
| basic infection control | 0.958324 |
| adherence | 0.377142 |
|
| Epidemiol. | 0.337471 |
| Special Safety Needs | 0.733627 |
| safe injection practices | 0.796277 |
| Blood Glucose | 0.608883 |
| healthcare-associated infection | 0.637077 |
| American Journal | 0.522197 |
| Infect Control Hosp | 0.834978 |
| contamination | 0.348026 |
| virus infection outbreaks | 0.843737 |
| Bacterial meningitis | 0.640177 |
| Streptococcal meningitis | 0.658594 |
| Inappropriate sharing | 0.553645 |
| Testing Glucose | 0.60659 |
| policy makers | 0.567941 |
| older adults | 0.522246 |
| healthcare settings | 0.525441 |
| Ohio | 0.338639 |
|
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Centers for Disease Control and Prevention |
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Minority Health Surveillance- REACH U.S. 2009 | CDC Features |
Substantial racial/ethnic health disparities exist in the United States. Although racial/ethnic minorities are growing at a rapid pace, large-scale community-based surveys and surveillance systems designed to monitor the health status of minority populations are limited. |
| highest median percentage | 0.712771 |
| United States | 0.358336 |
| Asian/Pacific Islander women | 0.482105 |
| individual level changes | 0.429719 |
| median influenza vaccination | 0.633204 |
| Risk Factor Surveillance | 0.458397 |
| lowest Pap smear | 0.446839 |
| corresponding MMSA | 0.460765 |
| national median percentage | 0.689118 |
| minority populations | 0.523847 |
| black communities | 0.381732 |
| Asian/Pacific Islander | 0.495109 |
| median percentages | 0.556246 |
| AI communities | 0.393242 |
| Factor Survey | 0.468269 |
| surveillance systems | 0.351394 |
| physical activity recommendations | 0.440268 |
| self-reported hypertension | 0.346906 |
| median percentage | 0.923257 |
| Community Health | 0.372837 |
| lowest percentages | 0.349965 |
| 50 states | 0.448798 |
| AI men | 0.371226 |
| micropolitan statistical area | 0.45983 |
|
| Risk Factor Survey | 0.441451 |
| community-level survey data | 0.441393 |
| American Indian women | 0.451614 |
| median prevalence | 0.599763 |
| Pneumococcal vaccination rates | 0.424049 |
| high prevalence | 0.355608 |
| racial/ethnic minorities | 0.353038 |
| ethnic minority communities | 0.509745 |
| minority communities | 0.847482 |
| lower percentage | 0.383537 |
| health status | 0.606508 |
| Self-reported data | 0.364605 |
| address-based sampling design | 0.467274 |
| Hispanic communities | 0.368906 |
| leisure-time physical activity | 0.457683 |
| national estimates | 0.347196 |
| high blood pressure | 0.432248 |
| culturally tailored strategies | 0.425245 |
| racial/ethnic health disparities | 0.495297 |
| self-perceived health status | 0.449982 |
| Risk Factor | 0.460055 |
| black women | 0.374451 |
| large-scale community-based surveys | 0.477099 |
|
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Centers for Disease Control and Prevention |
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Global Health - Nepal |
null |
| Micronutrient powder | 0.665411 |
| CDC | 0.88389 |
| avian influenza | 0.667903 |
| micronutrient malnutrition survey | 0.744315 |
| novel influenza viruses | 0.783764 |
| complex humanitarian emergencies | 0.900414 |
| new country project | 0.746962 |
| CDC s response | 0.773187 |
| various international partnership | 0.766024 |
| International Society | 0.638207 |
| World Health Organization | 0.947805 |
| Refugee Health Branch | 0.755607 |
| Global Influenza Network | 0.804145 |
| vaccine preventable diseases | 0.711779 |
| VPD surveillance | 0.634499 |
| CDC works | 0.791464 |
| diverse health issues | 0.733235 |
| adequate outbreak response | 0.72371 |
| country capacity development | 0.743533 |
| Travel Medicine | 0.629759 |
| public health impact | 0.738697 |
| travel/tropical medicine clinics | 0.737529 |
| Additional technical assistance | 0.717601 |
| final diagnoses | 0.626526 |
| U.S. government | 0.625086 |
|
| United States Government | 0.773778 |
| entire network | 0.629914 |
| United Nations Children | 0.715035 |
| travel-related illnesses | 0.633452 |
| pandemic influenza | 0.675566 |
| CDC funding | 0.815192 |
| civilian populations | 0.643411 |
| international network | 0.651729 |
| full-performance sites | 0.628833 |
| War-related Injury Team | 0.728775 |
| global governments | 0.631461 |
| global programs | 0.649753 |
| civil strife | 0.624965 |
| similar geographic exposures | 0.727259 |
| flu viruses | 0.632452 |
| clinic sites | 0.631894 |
| government strategy | 0.637213 |
| GeoSentinel members program | 0.738285 |
| Complex Humanitarian Emergency | 0.736427 |
| United Nations agencies | 0.727888 |
| refugee camps | 0.626885 |
| direct Congressional appropriation | 0.774205 |
| sentinel sites | 0.631709 |
| GeoSentinel network | 0.64586 |
|
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Fact Sheets-Excessive Alcohol Use And Men's Health - Alcohol |
Excessive alcohol use can lead to increased risk of health problems such as injuries, violence, liver diseases, and cancer.The CDC Alcohol Program works to strengthen the scientific foundation for preventing excessive alcohol use. |
| male secondary sex | 0.639771 |
| Nolen-Hoeksema S. Gender | 0.622279 |
| Highway Traffic Safety | 0.711041 |
| Risk Factor Surveillance | 0.636073 |
| Prev Chronic Dis | 0.627714 |
| binge drinking | 0.703925 |
| suicide attempters—post-mortem findings | 0.623748 |
| Stud Alcohol | 0.805596 |
| American Cancer Society | 0.707903 |
| Disease Control | 0.68739 |
| short-stay community hospital | 0.62708 |
| Alcohol Abuse | 0.751697 |
| S. Blood alcohol | 0.802671 |
| Suicide Life Threat | 0.624875 |
| alcohol | 0.997962 |
| Health Fact Sheet | 0.648896 |
| Clinical Psychology Review | 0.62682 |
| Cancer Monograph Working | 0.624478 |
| National Highway Traffic | 0.715562 |
| adult men | 0.659992 |
| National Vital Statistics | 0.640386 |
| alcohol drinking | 0.778536 |
| Traffic Safety Facts | 0.639064 |
| risky sexual activity | 0.636908 |
| sexually transmitted diseases | 0.625315 |
|
| Brewer RD | 0.632406 |
| Alcohol involvement | 0.762254 |
| Epidemiol Community Health | 0.636713 |
| CDC National Center | 0.662905 |
| male hormone production | 0.63339 |
| Alcohol-Related Disease Impact | 0.670426 |
| drinking increases | 0.662469 |
| NIAAA Surveillance Report | 0.627184 |
| Alcohol Research | 0.741955 |
| risk increases | 0.643745 |
| excessive alcohol | 0.939383 |
| alcohol dependence | 0.846096 |
| blood alcohol concentration | 0.837576 |
| Chronic Disease Indicators | 0.632056 |
| Excessive alcohol consumption | 0.879549 |
| excessive drinking | 0.700056 |
| Traffic Safety Administration | 0.716675 |
| Serna P. Alcohol | 0.800042 |
| motor-vehicle traffic crashes | 0.640627 |
| Alcohol-related sexual assault | 0.643057 |
| Chronic alcohol problems | 0.796564 |
| Naimi TS | 0.634144 |
| Stud Alcohol Suppl | 0.789318 |
| Alcohol’s effects | 0.739943 |
|
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Ellie's Biography - Ellie's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
The biography of Ellie, had asthma attack triggered by secondhand smoke, who is featured in CDC's Tips from Former Smokers campaign. |
| feet | 0.446509 |
| mid-thirties | 0.450029 |
| smell | 0.446824 |
| trouble breathing | 0.621158 |
| moment | 0.440776 |
| bar | 0.493858 |
| person smoking | 0.601535 |
| car | 0.441191 |
| bartender | 0.452431 |
| secondhand smoke | 0.792838 |
| Ellie | 0.954685 |
| family members | 0.592493 |
| asthma attacks | 0.83279 |
| smoke-free environment | 0.594497 |
| middle | 0.442306 |
| twenties | 0.445467 |
| 10-foot personality | 0.647111 |
| night | 0.479269 |
| change | 0.442931 |
| health | 0.493427 |
|
| hospital visits | 0.607953 |
| asthma attack | 0.732347 |
| vivid memories | 0.596792 |
| strangers | 0.443133 |
| windows | 0.441163 |
| people | 0.59167 |
| friends | 0.476416 |
| guitar | 0.497343 |
| active member | 0.629913 |
| doctor | 0.443372 |
| help | 0.4434 |
| LGBT communities | 0.632267 |
| trips | 0.441237 |
| household | 0.440941 |
| cigarettes | 0.571128 |
| time | 0.442997 |
| job | 0.602529 |
| choice | 0.441563 |
| smoke-free workplace | 0.599994 |
|
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Servicios clínicos preventivos para pacientes con riesgo de enfermedades cardiovasculares, Encuesta Nacional de Atención Médica Ambulatoria, 2005-2006 |
null |
| servicios clÃnicos | 0.754737 |
| Yoon PW | 0.492386 |
| pacientes jóvenes | 0.571774 |
| Matson-Koffman D | 0.479766 |
| Atención Médica Ambulatoria | 0.917397 |
|
| Tong X | 0.490236 |
| seguro médico | 0.723047 |
| Chronic Dis | 0.502824 |
| Schmidt SM | 0.491443 |
| profesionales clÃnicos | 0.449536 |
|
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Career Development Opportunities - Tribal Support |
CDC/ATSDR Tribal Support is the primary link between CDC, the Agency for Toxic Substance and Disease Registry (ATSDR), and tribal governments. CDC/ATSDR’s tribal support activities focus on fulfilling CDC's supportive role in ensuring that American Indian/Alaska Native (AI/AN) communities receive public health services that keep them safe and healthy. |
| internship opportunities | 0.535458 |
| Office | 0.432832 |
| Teutsch Prevention Effectiveness | 0.618076 |
| career development opportunities | 0.603622 |
| valuable exposure | 0.510621 |
| undergraduate students | 0.508495 |
| Fellowship Program | 0.519222 |
| current students | 0.506929 |
| fellowships | 0.425313 |
| Minority Health | 0.624682 |
| significant experience | 0.508413 |
| public health opportunities | 0.641545 |
| Health Equity Internships | 0.658263 |
| Public Health Informatics | 0.638488 |
| CDC/ATSDR Fellowship | 0.508934 |
| CDC training program | 0.670042 |
| year-long fellowship | 0.523445 |
| Health Associate Program | 0.835877 |
|
| state | 0.434168 |
| PHAP associate | 0.549768 |
| public health | 0.971629 |
| Epidemic Intelligence Service | 0.603336 |
| CDC Steven M. | 0.630949 |
| postdoctoral opportunities | 0.546425 |
| Public Health Associate | 0.837723 |
| tribal | 0.43413 |
| local public health | 0.661461 |
| EIS | 0.427883 |
| college degree | 0.506594 |
| Career Development Programs | 0.590718 |
| summer internship | 0.527076 |
| public health agencies | 0.652401 |
| public health setting | 0.642589 |
| territorial public health | 0.821264 |
| public health agency | 0.660014 |
|
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Global Health - Global Health Security - Detect |
null |
| disease detectives | 0.651335 |
| laboratory scientists | 0.633896 |
| country | 0.440015 |
| CDC | 0.528818 |
| endorsement | 0.465235 |
| United Nations | 0.653324 |
| transparent reporting | 0.662167 |
| networks | 0.442367 |
| bioinformatic systems | 0.693274 |
| international organizations | 0.65096 |
| networked information-sharing platforms | 0.935365 |
| infectious disease threats | 0.968355 |
| Content source | 0.641847 |
| HHS | 0.470615 |
| emergencies | 0.452901 |
| point-of-need | 0.439838 |
| Notice | 0.444726 |
| World Organization | 0.650789 |
| Strengthen capabilities | 0.781917 |
| Build capacity | 0.659549 |
| reagent sharing | 0.672569 |
|
| point-of-care | 0.474612 |
| earliest possible moment | 0.955839 |
| Food | 0.441093 |
| World Health Organization | 0.862879 |
| biosurveillance workforce | 0.648577 |
| biological threats | 0.764518 |
| regional capacity | 0.664079 |
| timely collection | 0.655523 |
| minimal bio-risk | 0.65125 |
| OIE | 0.475628 |
| establishment | 0.451153 |
| countries | 0.440621 |
| Agriculture Organization | 0.653024 |
| laboratory systems | 0.640051 |
| major dangerous pathogens | 0.86643 |
| non-federal site | 0.676654 |
| rapid sample | 0.649137 |
| FAO | 0.454826 |
| sub-national monitoring systems | 0.95027 |
| detecting | 0.486251 |
| Animal Health | 0.65124 |
|
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Obesity Prevalence Maps 2014 |
Obesity prevalence in 2014 varies across states and territories. Learn more... |
| high school graduates | 0.34492 |
| Maps Interactive Tool | 0.316306 |
| adult obesity prevalence | 0.98315 |
| Puerto Rico | 0.222301 |
| state obesity prevalence | 0.59142 |
| adults | 0.40499 |
| highest prevalence | 0.466823 |
| college graduates | 0.234754 |
| improvement changes | 0.205282 |
| states | 0.224423 |
| West Virginia | 0.220255 |
| *Sample size | 0.431197 |
| territory adult obesity | 0.888582 |
|
| high school degree | 0.346001 |
| public health surveillance | 0.304393 |
| middle-aged adults | 0.251255 |
| obesity prevalence estimates | 0.79457 |
| Young adults | 0.245584 |
| Virgin Islands | 0.222897 |
| highest self-reported obesity | 0.576944 |
| Acrobat file | 0.460132 |
| additional state | 0.214185 |
| powerpoint slide presentation | 0.740117 |
| lowest self-reported obesity | 0.54478 |
| relative standard error | 0.699783 |
|
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