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September is National Cholesterol Education Month - CDC Features |
Learn what steps you can take to prevent high cholesterol or to reduce your LDL bad cholesterol level. |
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Centers for Disease Control and Prevention |
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Core State Preconception Health Indicators - Pregnancy Risk Assessment Monitoring System and Behavioral Risk Factor Surveillance System, 2009 |
Cheryl L. Robbins, PhD. |
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Centers for Disease Control and Prevention |
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Flood Water After a Disaster or Emergency|Floods |
Information on floods. Provided by the Centers for Disease Control and Prevention (CDC). |
| clean water | 0.466617 |
| fallen power lines | 0.299952 |
| rubber gloves | 0.342833 |
| foam-rubber items | 0.236785 |
| hazardous chemical containers | 0.28674 |
| flood water areas | 0.475965 |
| NIOSH-approved N-95 respirator | 0.348857 |
| uncontaminated clothes | 0.384387 |
| shallow water | 0.269325 |
| Practice good hygiene | 0.30418 |
| fallen power line | 0.291759 |
| carpet padding | 0.232072 |
| hot water | 0.565911 |
| clear water | 0.341389 |
| emergency medical help | 0.302523 |
| Wash children | 0.241593 |
| personal protective equipment | 0.337832 |
| Wear rubber boots | 0.317507 |
| certain coastal waters | 0.329412 |
| immediate medical attention | 0.749183 |
| normal storage places | 0.292973 |
| shallow standing water | 0.356601 |
| household chlorine bleach | 0.495872 |
| downed power lines | 0.304735 |
| sewage water | 0.294302 |
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| old wound | 0.253347 |
| cleanup | 0.393488 |
| CDC Healthy Water | 0.36706 |
| flood waters | 0.942498 |
| overhead power lines | 0.297831 |
| wound care | 0.359211 |
| baby toys | 0.231702 |
| onsite waste-water | 0.355936 |
| affected area | 0.553129 |
| Bleach section | 0.230173 |
| rubber boots | 0.345045 |
| natural disaster | 0.30705 |
| open wound | 0.260698 |
| air conditioning units | 0.336034 |
| flood water | 0.676765 |
| Seek medical attention | 0.30869 |
| open wounds | 0.412015 |
| dish detergent | 0.253164 |
| Emergency Wound Care | 0.33902 |
| potential chemical hazards | 0.295102 |
| power lines | 0.368081 |
| paper products | 0.233144 |
| Wash clothes | 0.282108 |
| chemical hazards | 0.31402 |
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Centers for Disease Control and Prevention |
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Antimony - NIOSH Pocket Guide to Chemical Hazards |
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Centers for Disease Control and Prevention |
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Evidence-based health: necessary but not sufficient [letter |
As public health practitioners from the National Asthma Control Program (NACP) of the Centers for Disease Control and Prevention, we read the essay “From Evidence-Based Medicine to Evidence-Based Health: the Example of Asthma” (1) with great interest. |
| evidence-based clinical medicine | 0.736814 |
| clinical management | 0.529545 |
| demonstration projects | 0.628022 |
| successful asthma interventions | 0.88622 |
| public health practitioners | 0.709166 |
| population-level asthma surveillance | 0.823247 |
| organized research effort | 0.621807 |
| clinical teams | 0.532331 |
| key demonstration projects | 0.613005 |
| health services research | 0.66814 |
| multicomponent interventions | 0.623077 |
| sufficient evidence | 0.522387 |
| asthma self-management support | 0.866016 |
| Disease Control | 0.721709 |
| change elements | 0.537002 |
| community-level interventions | 0.623245 |
| convincing insurers | 0.523853 |
| public’s health | 0.634988 |
| Environmental Health | 0.547742 |
| asthma | 0.980021 |
| community health interventions | 0.751461 |
| Evidence-Based Medicine | 0.612434 |
| cost-effective ways | 0.522312 |
| Community Preventive Services | 0.640074 |
| public health response | 0.690884 |
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| clinical case studies | 0.625977 |
| evidence-based practice | 0.593589 |
| community health services | 0.679855 |
| National Asthma Control | 0.891986 |
| recent article | 0.528234 |
| asthma triggers | 0.711048 |
| Expert Panel Report | 0.642462 |
| disparately high prevalence | 0.633207 |
| community resources | 0.528341 |
| state asthma programs | 0.822942 |
| asthma prevalence | 0.729222 |
| public health | 0.764931 |
| evidence-based treatments | 0.577207 |
| program implementation questions | 0.618393 |
| evidence-based health | 0.818578 |
| clinical guidelines | 0.526545 |
| case studies | 0.632496 |
| research dollars | 0.52555 |
| behavioral interventions | 0.604466 |
| racial/ethnic minorities | 0.522382 |
| systematic review | 0.524317 |
| Public Health Service | 0.655345 |
| vastly disproportionate funding | 0.617741 |
| new medications | 0.525745 |
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Basic TB Facts - What to Do If You Have Been Exposed To TB |
Centers for Disease Control and Prevention, Division of Tuberculosis Elimination |
| sings | 0.217252 |
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| body | 0.213127 |
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| local health department | 0.326075 |
| nurse | 0.214112 |
| lungs | 0.218568 |
| active TB disease | 0.728065 |
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| people | 0.273743 |
| sneezes | 0.215292 |
| TB | 0.965007 |
| doctor | 0.229572 |
| persons | 0.213544 |
| person | 0.254784 |
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About one in five U.S. adult cigarette smokers have tried an electronic cigarette |
[Title] |
| Office | 0.428962 |
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| large numbers | 0.556646 |
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| electronic cigarettes | 0.686052 |
| traditional cigarettes | 0.964368 |
| Research | 0.429871 |
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| assistance | 0.428936 |
| percent | 0.541084 |
| MD MPH | 0.558577 |
| products | 0.431527 |
| sexes | 0.44032 |
| Prevention | 0.435342 |
| current smokers | 0.594435 |
| initiation | 0.43364 |
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| Disease Control | 0.588525 |
| awareness | 0.467337 |
| U.S. DEPARTMENT | 0.554595 |
| non-Hispanic Whites | 0.586035 |
| estimates | 0.437435 |
| Tim McAfee | 0.558185 |
| stories | 0.429365 |
| adult smokers | 0.589465 |
| long-term health | 0.548966 |
| Director Tom Frieden | 0.704903 |
| South | 0.432137 |
| visit www.BeTobaccoFree.gov | 0.551884 |
| e-cigarettes | 0.778806 |
| net public health | 0.672552 |
| users | 0.429335 |
| toxins | 0.434229 |
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Ebola Virus Disease in Health Care Workers - Sierra Leone,2014 |
On December 9, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| potential Ebola | 0.502941 |
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| Ebola cumulative incidence | 0.513665 |
| Leone Ebola Response | 0.542 |
| HCW patients | 0.408251 |
| Ebola care facilities | 0.599248 |
| Kenema General Hospital | 0.475713 |
| Ebola outbreak | 0.518169 |
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| Global Health | 0.384802 |
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| health care services | 0.384113 |
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| health workforce | 0.42204 |
| Ebola incidence rate | 0.522588 |
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| site visits | 0.387154 |
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| health care | 0.529287 |
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| Kenema District | 0.425899 |
| Viral Hemorrhagic Fever | 0.597424 |
| infection prevention | 0.657079 |
| Ebola incidence | 0.556695 |
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| probable Ebola | 0.517241 |
| control measures | 0.38256 |
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African Union and U.S. CDC Partner to Launch African CDC |
Teen births continue to decline in the U.S., but still more than 273,000 infants were born to teens ages 15 to 19 in 2013. Childbearing during the teen years can carry health, economic, and social costs for mothers and their children. |
| public health domains | 0.420019 |
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| U.S. CDC | 0.665109 |
| African CDC. | 0.393492 |
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| Disease Control | 0.445273 |
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| African Union | 0.705129 |
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| Nkosazana Dlamini Zuma | 0.407945 |
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| technical expertise | 0.396996 |
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| African CDC Coordinating | 0.731669 |
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| DC –A Memorandum | 0.409343 |
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| African CDC Surveillance | 0.692729 |
| African countries | 0.401849 |
| U.S. health protection | 0.422341 |
| AU geographic regions | 0.390569 |
| public health | 0.690811 |
| State John Kerry | 0.402739 |
| African citizens. Partners | 0.431858 |
| address complex health | 0.424387 |
| African continent | 0.395735 |
| health agencies | 0.38898 |
| African Ebola epidemic | 0.4715 |
| Regional Collaborating Centers | 0.643177 |
| Member States | 0.443514 |
| African ministries | 0.411305 |
| field epidemiologists | 0.411255 |
| Regional Economic Communities | 0.388758 |
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Current Cigarette Smoking Among Adults - United States,2005-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| smoking-related disease | 0.52228 |
| health insurance | 0.577961 |
| state-sponsored health plans | 0.560061 |
| sexual orientation | 0.537885 |
| private coverage | 0.498265 |
| National Health Interview | 0.532606 |
| psychological distress | 0.960925 |
| state-sponsored health plan | 0.499122 |
| private health insurance | 0.544441 |
| Health Insurance Program | 0.499779 |
| anti-tobacco mass media | 0.567621 |
| higher smoking prevalence | 0.524541 |
| psychological distress status§§ | 0.509864 |
| moderate psychological distress | 0.533322 |
| smoking status | 0.513446 |
| daily living | 0.547121 |
| high psychological distress | 0.582563 |
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| health insurance coverage | 0.514502 |
| Health Interview Survey | 0.532105 |
| persons | 0.539312 |
| cigarette smoking persist | 0.541377 |
| mass media campaigns | 0.563592 |
| cigarettes | 0.52998 |
| smoking prevalence | 0.782578 |
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| federal poverty level | 0.501149 |
| United States | 0.523389 |
| low psychological distress | 0.533952 |
| adults | 0.624855 |
| comprehensive smoke-free laws | 0.563699 |
| tobacco price increases | 0.561837 |
| highest smoking prevalence | 0.533766 |
| U.S. Census Bureau | 0.555331 |
| cigarette smoking | 0.740726 |
| Kessler psychological distress | 0.530205 |
| smoking prevalence persist | 0.521189 |
| adult smoking prevalence | 0.518044 |
| highest smoking prevalences | 0.497973 |
| family income | 0.523746 |
| General Education Development | 0.49822 |
| U.S. adults | 0.623246 |
| daily smokers | 0.609817 |
| health | 0.579199 |
| cigarette smoking prevalence | 0.688221 |
| psychological distress status | 0.511773 |
| tobacco cessation counseling | 0.509533 |
| commonly used tobacco | 0.49831 |
| psychological distress scale | 0.53099 |
| American Indian/Alaska Native | 0.504407 |
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