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Epilepsy Often Comes With Other Health Issues | CDC Features |
If you have epilepsy, you also are more likely to have other health issues. Reduce your risk of other health problems by getting recommended screenings and services, eating a healthy diet, exercising safely, and managing your epilepsy well. |
| medical comorbidities | 0.556866 |
| list Skip | 0.752285 |
| United States | 0.411256 |
| selected non-psychiatric conditions | 0.723264 |
|
| epilepsy status | 0.548673 |
| page options Skip | 0.936249 |
| especially active epilepsy | 0.807372 |
| adults | 0.247547 |
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Using social marketing to manage population health performance |
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| Wood Johnson Health | 0.464926 |
| Social marketing practitioners | 0.485466 |
| P4P). | 0.529515 |
| population health successes | 0.480901 |
| Marketing managers | 0.456497 |
| behavior change | 0.487898 |
| alternative choices | 0.596875 |
| marketing bottom-up perspective | 0.466686 |
| population health | 0.836124 |
| physical environmental conditions | 0.504413 |
| social marketing paradigm | 0.477069 |
| pay | 0.474759 |
| macrolevel societal metrics | 0.45676 |
| commercial marketing | 0.469653 |
| public health strategies | 0.468341 |
| common P4P | 0.516025 |
| health care cases | 0.466304 |
| health care organizations | 0.473248 |
| stimulus–response–reinforcement model | 0.484563 |
| population health metrics | 0.554445 |
| macrolevel societal change | 0.456263 |
| managers | 0.558568 |
| Population Health Institute | 0.481307 |
| P4P exchange pleasing | 0.54359 |
| benefits | 0.539884 |
|
| long-term good health | 0.468546 |
| social marketing | 0.988308 |
| P4P offer | 0.550674 |
| Robert Wood Johnson | 0.48494 |
| public health work | 0.46857 |
| Population health performance | 0.486729 |
| consumers | 0.494172 |
| public health behaviors | 0.476706 |
| behavior | 0.594001 |
| public health | 0.577973 |
| costs | 0.478797 |
| Competitive alternative choices | 0.46749 |
| good health | 0.472407 |
| social marketing perspective | 0.563264 |
| Population health policy | 0.491478 |
| P4P terms | 0.499203 |
| P4P | 0.753926 |
| people | 0.540233 |
| Public health issues | 0.476469 |
| barriers | 0.475788 |
| appropriate behavior | 0.458184 |
| health top-down perspective | 0.467228 |
| policy makers | 0.562589 |
| bottom-up focus | 0.49004 |
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Georgia Activities to Prevent HAIs |
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| funding | 0.327178 |
| monthly update | 0.589414 |
| Infection Prevention | 0.30635 |
| infectious disease | 0.644612 |
| Laboratory Capacity | 0.898099 |
| email address | 0.817584 |
|
| Infectious Diseases | 0.922468 |
| Infection Control Assessment | 0.533327 |
| Affordable Care Act | 0.488614 |
| ELC | 0.356482 |
| Epidemiology | 0.280672 |
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Centers for Disease Control and Prevention |
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West Nile Virus - What You Need To Know |
Information on West Nile virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| vaccines | 0.355596 |
| protective clothing | 0.504387 |
| fever | 0.352842 |
| continental United States | 0.696656 |
| North America | 0.536706 |
| bites | 0.423912 |
| summer | 0.348018 |
| symptoms | 0.443581 |
| WNV cases | 0.467447 |
|
| fall | 0.349814 |
| West Nile virus | 0.948056 |
| infected people | 0.523165 |
| medications | 0.351507 |
| season | 0.3482 |
| WNV | 0.727797 |
| headaches | 0.352059 |
| insect repellant | 0.505528 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | High Prevalence of DiabetesAmong Indo-Guyanese Adults, Schenectady, New York - CDC |
The Indo-Guyanese population is the largest immigrant minority population in Schenectady, New York. A clinic-based study in Schenectady and surveillance reports from Guyana found high diabetes prevalence and mortality among Guyanese of Indian descent. |
| Indo-Guyanese women | 0.545247 |
| Indo-Guyanese population | 0.722317 |
| higher prevalence | 0.521414 |
| Indo-Guyanese respondents | 0.57797 |
| New York City | 0.427531 |
| Indo-Guyanese trace | 0.581767 |
| Disease Control | 0.387013 |
| overweight non-Hispanic whites | 0.390552 |
| Indian Diabetes Risk | 0.482104 |
| County Public Health | 0.393375 |
| Schenectady County Public | 0.37792 |
| higher diabetes prevalence | 0.626252 |
| Indo-Guyanese people | 0.586023 |
| Public Health Services | 0.392818 |
| Schenectady County | 0.391355 |
| Indo-Guyanese cultural beliefs | 0.561496 |
| diabetes risks | 0.480592 |
| age-standardized prevalence | 0.474987 |
| significantly higher prevalence | 0.385819 |
| high diabetes prevalence | 0.649269 |
| diabetes control | 0.504909 |
| diabetes status | 0.474115 |
| visible Indo-Guyanese communities | 0.614154 |
| Indo-Guyanese participants | 0.634893 |
| United States | 0.608427 |
|
| diabetes mellitus | 0.453422 |
| crude prevalence | 0.388824 |
| cross-sectional health survey | 0.379903 |
| Diabetes screening criteria | 0.460189 |
| diabetes cases | 0.445478 |
| diabetes prevalence | 0.719017 |
| expected prevalence difference | 0.376621 |
| diabetes disparities | 0.439032 |
| Indo-Guyanese men | 0.543808 |
| non-Hispanic whites | 0.899921 |
| Indo-Guyanese patients | 0.563627 |
| public health | 0.519556 |
| poor diabetes control | 0.477351 |
| Prim Care Diabetes | 0.452746 |
| non-Hispanic white adults | 0.491328 |
| New York | 0.669742 |
| Diabetes Res Clin | 0.518701 |
| Indo-Guyanese immigrants | 0.676119 |
| Diabetes Care | 0.437005 |
| Indo-Guyanese community | 0.692374 |
| dependent diabetes mellitus | 0.453411 |
| diabetes complications | 0.457104 |
| Indo-Guyanese adults | 0.778863 |
| diabetes | 0.920261 |
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Vital Signs: Avoidable Deaths from Heart Disease, Stroke,and Hypertensive Disease - United States, 2001-2010 |
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. |
| avoidable death rates | 0.693606 |
| highest avoidable death | 0.409527 |
| risk factors | 0.20341 |
| United States | 0.320257 |
| age group | 0.233541 |
| avoidable deaths | 0.904191 |
| ischemic heart disease | 0.222956 |
|
| stroke | 0.218865 |
| avoidable death measures | 0.205426 |
| hypertensive disease | 0.523955 |
| heart disease | 0.874865 |
| high blood pressure | 0.257343 |
| avoidable heart disease | 0.267103 |
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Centers for Disease Control and Prevention |
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Prevent Bullying | CDC Features |
October is National Bullying Prevention Awareness Month |
| young person | 0.32625 |
| School Crime Supplement | 0.660552 |
| Risk Behavior Surveillance—United | 0.439881 |
| students ages | 0.342834 |
| U.S. Department | 0.506639 |
| Disease Control | 0.327582 |
| Youth Risk Behavior | 0.659658 |
| school property | 0.355763 |
| Crime Victimization Surveys | 0.473794 |
| Understanding Bullying | 0.671303 |
| evidence-based actions | 0.337287 |
| National Center | 0.325594 |
| Female students | 0.341633 |
| text messaging | 0.328704 |
| poor impulse control | 0.428593 |
| public schools | 0.349617 |
| male students | 0.340352 |
| middle schools | 0.349293 |
| damaging effects | 0.342191 |
| research activities | 0.34247 |
| Violence Prevention | 0.360856 |
| CDC fact sheet | 0.454412 |
| additional resources | 0.32606 |
| Crime Victimization Survey | 0.457192 |
| Justice Statistics | 0.411674 |
|
| power imbalance | 0.34653 |
| chat room | 0.336563 |
| higher likelihood | 0.459489 |
| Numerous factors | 0.341938 |
| school environment | 0.378416 |
| best ways | 0.358688 |
| school-wide programs | 0.353788 |
| federal leader | 0.346401 |
| percent | 0.355203 |
| National Crime Victimization | 0.676204 |
| positive problem | 0.325441 |
| National Bullying Prevention | 0.930391 |
| negatively impacts peers | 0.461906 |
| youth violence | 0.357573 |
| promising evidence | 0.339036 |
| relationship difficulties | 0.326842 |
| cell phones | 0.330977 |
| months.2 Electronic bullying | 0.822145 |
| positive school climate | 0.441812 |
| includes actions | 0.334825 |
| Justice Programs | 0.325775 |
| high school students | 0.633481 |
| MMWR Surveillance Summaries | 0.428416 |
| spit on.2-3 | 0.33245 |
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What CDC Is Doing About Lung Cancer |
A description of CDC's activities regarding lung cancer. |
| CDC | 0.851475 |
| community interventions | 0.462397 |
| Cancer Control P.L.A.N.E.T | 0.646965 |
| territorial health departments | 0.609338 |
| environmental health | 0.585404 |
| lung cancer | 0.900708 |
| federal agency | 0.449362 |
| CDC’s NCEH | 0.676749 |
| ongoing work | 0.462055 |
| cancer control programs | 0.644157 |
| National Center | 0.603663 |
| community level | 0.449625 |
| States Cancer Statistics | 0.678181 |
| National Vital Statistics | 0.628904 |
| National Program | 0.531538 |
| state-run quitline | 0.573844 |
| health tracking programs | 0.599607 |
| Cancer Control Program | 0.657013 |
| Health Statistics | 0.489169 |
| Web site | 0.573656 |
| cancer control | 0.751463 |
| Tobacco Cessation Quitlines | 0.574402 |
| tobacco-related diseases | 0.461944 |
| United States | 0.591588 |
|
| 1-800-QUITNOW. CDC | 0.605733 |
| cancer death statistics | 0.655675 |
| Cancer Control P.L.A.N.E.T. | 0.644713 |
| Occupational Safety | 0.444267 |
| national network | 0.545882 |
| technical support | 0.455368 |
| disease prevention | 0.448481 |
| National Cancer Institute | 0.714383 |
| North American Association | 0.605314 |
| National Institute | 0.488731 |
| workplace exposures | 0.480888 |
| health promotion programs | 0.588453 |
| NCI support | 0.462273 |
| single-access point | 0.439453 |
| lung cancer includes— | 0.716582 |
| National Tobacco Control | 0.679225 |
| cancer resources | 0.488098 |
| work-related injury | 0.454579 |
| program policy | 0.471825 |
| Central Cancer Registries | 0.686908 |
| Web-based report | 0.465249 |
| Community Preventive Services | 0.761956 |
| Disease Registry | 0.447134 |
| Toxic Substances | 0.442723 |
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Los Síntomas y la Gravedad de la Influenza |
La influenza es una enfermedad respiratoria contagiosa que puede causar una enfermedad leve o grave e incluso puede ocasionar la muerte - CDC |
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Multistate Outbreak of Salmonella Muenchen Infections Linked to Alfalfa Sprouts Produced by Sweetwater Farms | February 2016 | Salmonella |
Multistate Outbreak of Salmonella Muenchen Infections Linked to Alfalfa Sprouts Produced by Sweetwater Farms |
| Salmonella | 0.437798 |
| PulseNet | 0.296873 |
| ill person | 0.29798 |
| Public health investigators | 0.331697 |
| national database | 0.273019 |
| contaminated seeds | 0.270479 |
| regulatory officials | 0.346669 |
| outbreak case count | 0.281526 |
| likely source | 0.274174 |
| Salmonella Muenchen infections | 0.30117 |
| possible outbreaks | 0.277835 |
| outbreak | 0.339444 |
| DNA fingerprinting | 0.274187 |
| U.S. Food | 0.27656 |
| Kansas Department | 0.310526 |
| traceback investigations | 0.310585 |
| Salmonella Cubana | 0.332023 |
| median age | 0.273746 |
| brand alfalfa sprouts | 0.341696 |
| public health partners | 0.266056 |
| alfalfa sprouts | 0.813702 |
| public health officials | 0.392152 |
| pulsed-field gel electrophoresis | 0.342619 |
| national subtyping network | 0.34154 |
| ill people | 0.983971 |
|
| Salmonella bacteria | 0.307631 |
| multistate outbreak | 0.293567 |
| FDA | 0.270605 |
| Collaborative investigative efforts | 0.329952 |
| regulatory agency laboratories | 0.336194 |
| Drug Administration | 0.280551 |
| food regulatory agency | 0.334182 |
| CDC PulseNet database | 0.268909 |
| Salmonella infections | 0.277932 |
| multiple states | 0.271102 |
| public health | 0.595679 |
| additional ill people | 0.304868 |
| outbreak strain | 0.284801 |
| Sweetwater Farms | 0.708858 |
| Salmonella Kentucky | 0.33566 |
| Case Count Map | 0.271978 |
| DNA fingerprint | 0.308448 |
| contaminated sprouts | 0.298503 |
| possibly eating sprouts | 0.386783 |
| local public health | 0.318893 |
| irrigation water | 0.315721 |
| DNA fingerprints | 0.274399 |
| Salmonella Muenchen | 0.428571 |
| federal public health | 0.324017 |
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