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Centers for Disease Control and Prevention |
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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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| PDF | 0.261307 |
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| different file formats | 0.938484 |
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Centers for Disease Control and Prevention |
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Section 302 of the Tobacco Control Act - Study and Report |
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| tobacco products | 0.927305 |
| Comptroller General | 0.414981 |
| United States Code | 0.275763 |
| United States | 0.761038 |
| Indian country | 0.274462 |
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| collect data | 0.573308 |
| cross-border advertising | 0.400239 |
| counterfeit tobacco products | 0.374182 |
| Study. The Comptroller | 0.243627 |
| cross-border trade | 0.798282 |
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Centers for Disease Control and Prevention |
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About one in five U.S. adult cigarette smokers have tried an electronic cigarette |
[Title] |
| Office | 0.428962 |
| Centers | 0.435397 |
| study | 0.471498 |
| e-cigarette marketing | 0.549771 |
| adults | 0.587741 |
| large numbers | 0.556646 |
| changes | 0.433123 |
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| traditional cigarettes | 0.964368 |
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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 |
| visit http://www.cdc.gov/tips | 0.557357 |
| HUMAN SERVICES | 0.554329 |
| information | 0.428237 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | State Practitioner Insights Into Local Public Health Challenges and Opportunities in Obesity Prevention: a Qualitative Study - CDC |
The extent of obesity prevention activities conducted by local health departments (LHDs) varies widely. The purpose of this qualitative study was to characterize how state obesity prevention program directors perceived the role of LHDs in obesity prevention and factors that impact LHDs’ success in obesity prevention. |
| obesity prevention program | 0.520922 |
| LHDs | 0.466144 |
| public health practitioners | 0.385014 |
| obesity prevention programs | 0.524027 |
| LHD prevention activities | 0.398508 |
| state obesity prevention | 0.505018 |
| national public health | 0.386456 |
| obesity prevention | 0.969306 |
| obesity prevention activities | 0.493812 |
| public health systems | 0.377639 |
| Prevent Obesity | 0.394335 |
| obesity prevention efforts | 0.526952 |
| local prevention efforts | 0.417425 |
| local practitioners | 0.390777 |
| public health activities | 0.380824 |
| public health officials | 0.378496 |
| public health jurisdictions | 0.385443 |
| county-level obesity prevalence | 0.445609 |
| prevention program directors | 0.413072 |
| public health practice | 0.382392 |
| state public health | 0.389067 |
| public health response | 0.38736 |
| public health governance | 0.408163 |
| LHD success | 0.430437 |
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| robust community health | 0.379842 |
| centralized states | 0.41653 |
| environmental change | 0.459118 |
| public health effort | 0.385441 |
| high obesity prevalence | 0.42007 |
| Public Health Challenges | 0.391083 |
| evidence-informed public health | 0.377212 |
| states | 0.440498 |
| Prevention Research Center | 0.385902 |
| public health structures | 0.421924 |
| federally funded obesity | 0.450419 |
| time obesity prevalence | 0.41962 |
| state health department | 0.383955 |
| local health units | 0.440959 |
| local health departments | 0.434376 |
| public health | 0.830299 |
| public health organizations | 0.406638 |
| health governance structure | 0.397321 |
| Obesity prevention coordinators | 0.438556 |
| qualitative study | 0.381787 |
| local public health | 0.549489 |
| state-identified public health | 0.379759 |
| community health assessment | 0.409721 |
| local level | 0.406256 |
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Centers for Disease Control and Prevention |
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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 |
| ill person | 0.419113 |
| general care facilities | 0.401996 |
| Ebola reporting | 0.488417 |
| 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 |
| non-HCW Ebola patients | 0.530958 |
| HCWs | 0.576105 |
| health care facility | 0.383933 |
| Ebola wards | 0.494985 |
| standard operating procedures | 0.40451 |
| broad range | 0.384438 |
| personal protective equipment | 0.551901 |
| inadequate training | 0.384198 |
| HCW Ebola cases | 0.610137 |
| Global Health | 0.384802 |
| health facility administrators | 0.475616 |
| health care services | 0.384113 |
| ebola virus disease | 0.596402 |
| health workforce | 0.42204 |
| Ebola incidence rate | 0.522588 |
|
| public health events | 0.420725 |
| health care facilities | 0.397324 |
| low-risk Ebola zones | 0.522896 |
| Ebola patients | 0.71048 |
| Health care worker | 0.390586 |
| Sierra Leone | 0.874388 |
| Hemorrhagic Fever database | 0.529939 |
| Sierra Leone health | 0.420804 |
| dedicated Ebola treatment | 0.515407 |
| Ebola cases | 0.940656 |
| HCW Ebola patients | 0.579031 |
| site visits | 0.387154 |
| health care workers | 0.430584 |
| health care | 0.529287 |
| national Viral Hemorrhagic | 0.46407 |
| live Ebola patient | 0.520743 |
| laboratory-confirmed Ebola cases | 0.589228 |
| Kenema District | 0.425899 |
| Viral Hemorrhagic Fever | 0.597424 |
| infection prevention | 0.657079 |
| Ebola incidence | 0.556695 |
| Ebola patient | 0.594626 |
| probable Ebola | 0.517241 |
| control measures | 0.38256 |
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Centers for Disease Control and Prevention |
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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 |
| advise African CDC | 0.604658 |
| Response Unit | 0.449421 |
| U.S. CDC | 0.665109 |
| African CDC. | 0.393492 |
| African CDC leadership | 0.674617 |
| African Union Special | 0.461738 |
| Disease Control | 0.445273 |
| African epidemiologists | 0.407897 |
| African Union | 0.705129 |
| African ownership | 0.393482 |
| Nkosazana Dlamini Zuma | 0.407945 |
| CDC Coordinating Center | 0.624279 |
| African Surveillance | 0.406082 |
| African CDC | 0.950868 |
| CDC Director Tom | 0.604885 |
| future health emergency | 0.421787 |
| public health emergencies | 0.436826 |
| African CDC partners | 0.597303 |
| Emergency Operations Center | 0.398841 |
| public health experts | 0.425247 |
| African Centres | 0.442159 |
| technical expertise | 0.396996 |
| CDC Media Relations | 0.549828 |
| public health entities | 0.421934 |
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| African CDC Coordinating | 0.731669 |
| global health security | 0.501831 |
| public health institute | 0.448737 |
| health security work | 0.412341 |
| African Union Member | 0.442241 |
| African Union Commission | 0.518724 |
| DC –A Memorandum | 0.409343 |
| public health responders | 0.434043 |
| 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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School-Based Intervention as a Component of a Comprehensive Community Program for Overweight and Obesity Prevention, Sousse, Tunisia, 2009-2014 |
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. |
| obesity rates | 0.514828 |
| physical activity behaviors | 0.551791 |
| control group | 0.637117 |
| schoolchildren leaders | 0.483415 |
| school-based intervention program | 0.547346 |
| intervention group | 0.770403 |
| usual intervention | 0.497904 |
| physical activity programs | 0.471723 |
| 13-or-younger age group | 0.473133 |
| intervention children | 0.50853 |
| obesity | 0.547232 |
| intervention schools | 0.495103 |
| school-based childhood obesity | 0.474243 |
| community behavioral intervention | 0.521022 |
| World Health Organization | 0.500818 |
| newly enrolled schoolchildren | 0.488991 |
| community intervention | 0.483846 |
| school-based intervention | 0.678955 |
| healthy eating | 0.4737 |
| recommended physical activity | 0.477847 |
| schoolchildren | 0.618553 |
| short intervention | 0.493327 |
| obese schoolchildren | 0.472097 |
| physical activity interventions | 0.473651 |
| regular physical activity | 0.476303 |
|
| safe physical activity | 0.471933 |
| quasi-experimental school-based intervention | 0.5765 |
| 3-year community-based intervention | 0.496312 |
| 13-year old schoolchildren | 0.477844 |
| American Indian schoolchildren | 0.478631 |
| intervention group data | 0.532347 |
| healthy behaviors | 0.486276 |
| community-based intervention limits | 0.501849 |
| intervention study | 0.518518 |
| larger community-based intervention | 0.537379 |
| intervention effect | 0.534266 |
| excess weight | 0.557205 |
| overweight | 0.501892 |
| intervention lowers incidence | 0.495727 |
| public health | 0.483624 |
| vegetable intake | 0.481867 |
| healthy physical activity | 0.484592 |
| control group postintervention | 0.475682 |
| physical activity | 0.960192 |
| H. School-based intervention | 0.524321 |
| school-based physical activity | 0.550903 |
| one-year intervention | 0.49087 |
| et al | 0.516697 |
| community-based intervention | 0.539531 |
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Other Infectious Diseases - Topics - Did You Know - STLT Gateway |
“Did You Know?” is a weekly feature from CDC's Office for State, Tribal, Local and Territorial Support to inform your prevention activities. We invite you to read, share, and take action! |
| CDC | 0.768907 |
| human Salmonella outbreaks | 0.462589 |
| CDC guidance | 0.43383 |
| public health authorities | 0.426815 |
| CDC tools | 0.44881 |
| CDC materials | 0.45228 |
| pregnant women | 0.502009 |
| recreational water illnesses | 0.437031 |
| fungal diseases | 0.439633 |
| critical public health | 0.425616 |
| CDC’s Zika | 0.461646 |
| helpful CDC resources | 0.47949 |
| public health partners | 0.432637 |
| CDC’s Malaria | 0.440109 |
| new CDC study | 0.491649 |
| new CDC Vital | 0.473247 |
| state public health | 0.428505 |
| CDC Drug Service | 0.473116 |
| free CDC resources | 0.491317 |
| CDC’s infection | 0.463562 |
| healthcare providers | 0.547103 |
| United States | 0.946808 |
| recreational water illness | 0.495247 |
| CDC iTunes App | 0.461038 |
| CDC’s guidelines | 0.442064 |
|
| Zika virus infection | 0.464558 |
| major public health | 0.439558 |
| CDC resources—including infographics | 0.465278 |
| National Infant Immunization | 0.432778 |
| CDC resources | 0.506794 |
| health departments | 0.656904 |
| public health professionals | 0.496692 |
| healthcare professionals | 0.523368 |
| local health departments | 0.423805 |
| public health | 0.810843 |
| water management programs | 0.455205 |
| new CDC | 0.517605 |
| Vital Signs report | 0.431927 |
| disease | 0.456721 |
| CDC mobile app | 0.462925 |
| Public Health Veterinarians | 0.447004 |
| people | 0.489345 |
| birth defects | 0.440287 |
| flu | 0.458694 |
| whooping cough | 0.438714 |
| West Nile virus | 0.454268 |
| illness—share CDC | 0.45161 |
| valley fever | 0.431257 |
| materials public health | 0.421907 |
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Curricula and Handouts | NDPP | Diabetes |
National Diabetes Prevention Program |
| Heart Healthy This | 0.433423 |
| Stay Motivated | 0.416019 |
| module teaches participants | 0.657722 |
| teaches participants how | 0.652529 |
| curriculum is based | 0.439977 |
| each session | 0.432765 |
| after each session | 0.420413 |
| about curriculum requirements | 0.417411 |
| This module teaches | 0.758095 |
| fifth session | 0.41517 |
| approved curriculum that | 0.417672 |
| curriculum also offers | 0.41562 |
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| This module | 0.994881 |
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| lifestyle coach | 0.415593 |
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| your program must | 0.428761 |
| Your Thoughts This | 0.437269 |
| session outlines objectives | 0.419838 |
| sixth session | 0.415078 |
| PreventT2 curriculum | 0.428357 |
| with helpful thoughts | 0.415931 |
| calorÃas view | 0.499562 |
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| change program | 0.427433 |
| six months | 0.415069 |
| PreventT2 Lifestyle program | 0.423732 |
| participantes conocimientos | 0.421501 |
| Your Activity This | 0.442481 |
| program must | 0.433285 |
| Your Food This | 0.437634 |
| Take In This | 0.431737 |
| fourth session | 0.415475 |
| Program This | 0.440071 |
| Diabetes View | 0.496607 |
| diabetes tipo | 0.416164 |
| CDC-developed curriculum | 0.426472 |
| Track Your | 0.42171 |
| módulo descripción instructor | 0.453598 |
| Program Overview This | 0.439821 |
| third session | 0.415176 |
| stress view | 0.509631 |
| with triggers this | 0.436458 |
| Manage Stress This | 0.431142 |
| Fitness This | 0.42752 |
| seventh session | 0.415148 |
| physical activity | 0.420727 |
| change program curriculum | 0.42708 |
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Incidence of Zika Virus Disease by Age and Sex - PuertoRico, November 1, 2015-October 20, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| persons report symptoms | 0.229997 |
| virus disease outbreak | 0.272953 |
| health care provider | 0.229691 |
| higher reported incidence | 0.242775 |
| pregnant women | 0.255762 |
| El Salvador | 0.242999 |
| probable Zika virus | 0.298454 |
| nonpregnant females | 0.233222 |
| health care facility | 0.233664 |
| differential disease rates | 0.240376 |
| age groups females | 0.242199 |
| Puerto Rico population | 0.249772 |
| Zika virus disease | 0.961527 |
| males | 0.255408 |
| age groups | 0.301941 |
| older age groups | 0.231814 |
| persons | 0.277053 |
| avoidance behaviors | 0.246367 |
| public health practice | 0.23209 |
| Zika virus transmission | 0.273752 |
| dengue virus IgM | 0.268557 |
| virus-infected pregnant women | 0.233072 |
| nonpregnant persons | 0.253951 |
| women | 0.303008 |
| Puerto Rico | 0.621814 |
|
| age group | 0.257331 |
| presumptive Zika virus | 0.358373 |
| Zika virus infection | 0.444601 |
| Puerto Rico Department | 0.295284 |
| symptomatic Zika virus | 0.285964 |
| overall estimated incidence | 0.236193 |
| virus disease incidence | 0.313455 |
| health care workers | 0.230926 |
| health care | 0.255991 |
| Zika virus infections | 0.275906 |
| virus disease cases | 0.599528 |
| sexual transmission | 0.307129 |
| positive Zika virus | 0.28499 |
| females | 0.280537 |
| chikungunya virus infection | 0.278218 |
| health | 0.259027 |
| certain age groups | 0.230313 |
| medical care | 0.274658 |
| presumptive cases | 0.236549 |
| clinically suspected Zika | 0.251378 |
| highest incidence | 0.237251 |
| congenitally acquired Zika | 0.237243 |
| female Zika virus | 0.279835 |
| nonpregnant Zika virus | 0.27978 |
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