| 4450 |
Centers for Disease Control and Prevention |
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Taking Care of Yourself When You Have Seasonal Flu |
Taking Care of Yourself: What to Do if You Get Sick with Flu. |
| flu symptoms | 0.646716 |
| social events | 0.217722 |
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| emergency room | 0.56828 |
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| flu-related complications | 0.420171 |
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| high risk group | 0.533841 |
| illness | 0.284327 |
|
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| seasonal flu | 0.427339 |
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| people | 0.379418 |
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| antiviral treatment | 0.249217 |
| physician assistant | 0.234449 |
| novel flu virus | 0.537219 |
| high risk status | 0.339815 |
| high risk | 0.988392 |
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| 4660 |
Centers for Disease Control and Prevention |
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Lessons learned from a collaborative to improve care for patients with diabetes in 17 community health centers, Massachusetts, 2006 |
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| multiple CHC teams | 0.39315 |
| future collaborative efforts | 0.389834 |
| patient data | 0.370535 |
| CHC team members | 0.398855 |
| PDSA cycles | 0.443949 |
| team leaders | 0.41824 |
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| senior leadership | 0.375618 |
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| Chronic Care Model | 0.994369 |
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| provider champions | 0.374693 |
| provider champion | 0.393606 |
| self-management goals | 0.371997 |
| Disparities Collaborative team | 0.40234 |
| Carolina Diabetes Collaborative | 0.394604 |
| teams | 0.452631 |
| patients | 0.459727 |
| CHCs | 0.57386 |
| patient registries | 0.38663 |
| team members | 0.558775 |
|
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| CHC teams | 0.409713 |
| primary care provider | 0.376294 |
| Massachusetts Diabetes Health | 0.457876 |
| support | 0.372179 |
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| electronic medical record | 0.384225 |
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| intercoder agreement | 0.382356 |
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| Health Disparities Collaborative | 0.521762 |
| National Health Disparities | 0.384327 |
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| Massachusetts League | 0.415131 |
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| community health centers | 0.843311 |
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| Diabetes Health Disparities | 0.463652 |
| community health center | 0.376206 |
|
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Centers for Disease Control and Prevention |
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1,1,2-Trichloroethane - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
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| DOC | 0.368812 |
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|
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| 7150 |
Centers for Disease Control and Prevention |
Html |
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Global Health - Saudi Arabia |
CDC has worked with the Kingdom of Saudi Arabia for over 20 years. It has formed partnerships with the Ministry of Health, WHO, local partners, and other U.S. Government agencies to reduce the impact of emerging diseases, build capacity in areas such as laboratory systems and epidemiology, strengthen immunization services, respond to public health emergencies, and conduct surveillance, surveys, and studies. |
| immunization services | 0.471557 |
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| CDC | 0.38363 |
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| U.S. Government agencies | 0.732975 |
| diseases | 0.203316 |
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|
| capacity | 0.254423 |
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| HHS | 0.201248 |
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| Kingdom | 0.207099 |
| Download Overview Fact | 0.70488 |
| public health systems | 0.642437 |
|
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| 7455 |
Centers for Disease Control and Prevention |
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National Center for Environmental Health - Publications and Products |
Data Resources for the National Center for Environmental Health |
| MPEG | 0.244631 |
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|
| nutrition status | 0.519161 |
| inspectors | 0.281426 |
| DOC | 0.234232 |
| public health professionals | 0.976114 |
| housing managers | 0.592644 |
| home inspection | 0.603126 |
|
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| 7729 |
Centers for Disease Control and Prevention |
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Progress in Voluntary Medical Male Circumcision ServiceProvision - Kenya, 2008-2011 |
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. |
| VMMC implementation | 0.514358 |
| new HIV infections | 0.530746 |
| HIV prevention program | 0.5727 |
| HIV prevention | 0.802945 |
| HIV prevalence rates | 0.501849 |
| VMMC coverage | 0.630076 |
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| Provider-initiated HIV testing | 0.472688 |
| voluntary medical male | 0.763147 |
| provincial prevalence rates | 0.441348 |
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| VMMC clients | 0.730599 |
| World Health Organization | 0.525411 |
| severe postoperative AEs | 0.439167 |
| uncircumcised males | 0.984792 |
| VMMC | 0.95272 |
| Rift Valley | 0.472511 |
| VMMC services | 0.575436 |
| Kenya Medical Research | 0.527667 |
| scale-up — Kenya | 0.468282 |
| VMMC target | 0.458368 |
| additional HIV prevention | 0.503515 |
| human immunodeficiency virus | 0.567063 |
| medical male circumcision | 0.726616 |
| Program – Kenya | 0.473425 |
|
| medical male circumcisions | 0.499503 |
| effective HIV prevention | 0.474819 |
| HIV prevalence | 0.596044 |
| HIV prevention intervention | 0.578915 |
| postoperative review | 0.543174 |
| future VMMC programming | 0.479159 |
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| Nyanza Province | 0.899664 |
| VMMC strategies | 0.453126 |
| VMMC coverage data | 0.48561 |
| HIV acquisition | 0.475764 |
| VMMCs | 0.532447 |
| VMMC scale-up | 0.474298 |
| male circumcision | 0.754967 |
| Kenya | 0.936849 |
| CDC support | 0.464109 |
| HIV test results | 0.475959 |
| CDC Kenya | 0.535223 |
| Kenya reside | 0.491202 |
| older males | 0.466988 |
| Nyanza Reproductive Health | 0.454379 |
| high HIV prevalence | 0.585419 |
| Svcs – Kenya | 0.472052 |
| reliable VMMC coverage | 0.473291 |
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| 8427 |
Centers for Disease Control and Prevention |
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Roosevelt's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
The story of Roosevelt, a former smoker who had a heart attack and is featured in CDC's Tips from Former Smokers campaign. |
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| CDC | 0.471133 |
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| teens | 0.477116 |
| video | 0.458641 |
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| smoking cigarettes | 0.793224 |
|
| smoking | 0.903539 |
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| bypass surgery | 0.725589 |
| hospital | 0.463989 |
| Roosevelt | 0.861143 |
| bypasses | 0.503439 |
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| addiction | 0.47401 |
| doctors | 0.467852 |
| ones | 0.465893 |
| campaign | 0.458428 |
| time | 0.468629 |
|
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Centers for Disease Control and Prevention |
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CDC announces second imported case of Middle East Respiratory Syndrome (MERS) in the United States | Press Release | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| airborne isolation precautions | 0.52192 |
| CDC | 0.574908 |
| CDC’s National | 0.506395 |
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| health officials | 0.675065 |
| dramatic increase | 0.46595 |
| Dr. Anne Schuchat | 0.526078 |
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| CDC Director Tom | 0.571578 |
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| assistant surgeon general | 0.525076 |
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| Respiratory Diseases | 0.486864 |
| U.S. imported case | 0.558731 |
| East Respiratory Syndrome | 0.669266 |
| late night | 0.476993 |
| Arabian Peninsula | 0.712772 |
| United States | 0.547025 |
| respiratory illness | 0.521116 |
|
| MERS Coronavirus | 0.588518 |
| slight cough | 0.482023 |
| global ability | 0.471021 |
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| U.S. travelers | 0.46662 |
| additional imported cases | 0.540657 |
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| severe acute respiratory | 0.531147 |
| CDC’s recommendations | 0.493741 |
| patient | 0.583467 |
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| Florida Department | 0.470435 |
| health care | 0.482481 |
| travel history | 0.471018 |
| Middle East Respiratory | 0.669298 |
| local health officials | 0.546613 |
| respiratory illnesses | 0.478176 |
| MERS-CoV infection | 0.532054 |
| U.S. general public | 0.646696 |
| healthcare provider | 0.469447 |
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| healthcare setting | 0.465804 |
| MERS | 0.769288 |
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Centers for Disease Control and Prevention |
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Million Hearts Recognizes 2014 Hypertension Control Champions |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Dr. Janet Wright | 0.528 |
| American adults | 0.477988 |
| successful strategies | 0.471612 |
| blood pressure down—a | 0.55692 |
| Human Services | 0.487596 |
| Hypertension Control Champions | 0.86126 |
| executive director | 0.471277 |
| U.S. Department | 0.487428 |
| pressure control data | 0.559645 |
| rural areas | 0.485909 |
| evidence-based strategies | 0.480444 |
| high performance | 0.481783 |
| hypertension control rates | 0.630277 |
| blood pressure | 0.898223 |
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| greater risk | 0.477267 |
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| CDC Director Tom | 0.545979 |
| hypertension control | 0.901833 |
| solo practitioners | 0.478401 |
| health care practices | 0.58307 |
| health care teams | 0.556547 |
| blood pressure control | 0.762034 |
| appropriate clinical care | 0.531464 |
| large systems | 0.48825 |
|
| different states | 0.485249 |
| verifiable high blood | 0.547373 |
| private-sector partners | 0.474721 |
| tribal clinical practices | 0.561668 |
| heart attacks | 0.545445 |
| heart attack | 0.478063 |
| team-based care | 0.481868 |
| health information technology | 0.54759 |
| Medicaid Services | 0.46949 |
| heart disease | 0.612253 |
| adult patients | 0.551942 |
| health services | 0.500338 |
| avoidable heart disease | 0.55316 |
| federal agencies | 0.471487 |
| Hypertension Control Challenge | 0.701411 |
| better heart health | 0.569485 |
| Million Hearts initiative | 0.599043 |
| nonprofit organizations | 0.471533 |
| strong sign | 0.475203 |
| national initiative | 0.478163 |
| evidence-based ways | 0.47268 |
| board-certified cardiologist | 0.475475 |
| high blood pressure | 0.809928 |
| best practices | 0.47789 |
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Centers for Disease Control and Prevention |
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Worksite Influences on Obesogenic Behaviors in Low-WageWorkers in St Louis, Missouri, 2013-2014 |
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. |
| work groups | 0.568675 |
| SF-8 Health Survey | 0.523474 |
| future workplace interventions | 0.585934 |
| WHP participation | 0.695765 |
| retail sales workers | 0.61646 |
| Washington University | 0.538319 |
| overlooked health disparity | 0.520016 |
| Irregular work schedules | 0.521298 |
| Univariate logistic regression | 0.52838 |
| irregular schedules | 0.687465 |
| modifiable workplace factors | 0.684787 |
| health behaviors | 0.557847 |
| obesity | 0.533552 |
| workplace wellness efforts | 0.540407 |
| multivariate logistic regression | 0.526624 |
| particularly low-wage workers | 0.591523 |
| large health care | 0.524128 |
| overall health | 0.519563 |
| REAP-S total score | 0.527057 |
| healthy workers | 0.540937 |
| work schedule | 0.539606 |
| wellness programs | 0.525412 |
| health status | 0.56385 |
| low-wage workers | 0.790015 |
| workplace health programs | 0.707434 |
|
| retail workers | 0.970928 |
| Public Health | 0.537255 |
| healthy behaviors | 0.528692 |
| obesogenic behaviors | 0.718078 |
| exercise | 0.624114 |
| food service workers | 0.573651 |
| multivariate models | 0.536639 |
| Energy Balance Survey | 0.533459 |
| low-wage American workers | 0.56318 |
| obesogenic behaviors workers | 0.601928 |
| hospital workers | 0.829936 |
| workplace health behavior | 0.538986 |
| diet | 0.53132 |
| Coworker Support scales | 0.526626 |
| health care | 0.533866 |
| health promotion programs | 0.526646 |
| health | 0.769948 |
| food source | 0.553871 |
| exercise programs | 0.519751 |
| food | 0.592028 |
| younger age | 0.517718 |
| physical activity | 0.958386 |
| significant predictors | 0.640503 |
| little physical activity | 0.516293 |
|
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