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Centers for Disease Control and Prevention |
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Announcement: Surgeon General's Call to Action to PreventSkin Cancer |
On July 29, the Office of the Surgeon General released its Call to Action to Prevent Skin Cancer (http://www.surgeongeneral.gov/library/calls/prevent-skin-cancer/index. |
| skin cancer | 0.951578 |
| Perna FM | 0.310057 |
| Photochem Photobiol | 0.312168 |
| A. The epidemiology | 0.310283 |
| United States | 0.634813 |
| U.S. Government Printing | 0.396018 |
| original MMWR paper | 0.394969 |
| Arch Dermatol | 0.337582 |
| JAMA Intern Med | 0.391927 |
| Human Services | 0.584677 |
| skin cancer rates | 0.533273 |
| concrete strategies | 0.311995 |
| U.S. Adults—National Health | 0.426268 |
| MMWR HTML versions | 0.387448 |
| U.S. Department | 0.373422 |
| frequently diagnosed cancer | 0.488188 |
| Bath-Hextall F. | 0.311436 |
| electronic PDF version | 0.387892 |
| Yabroff KR | 0.319038 |
| faith-based organizations | 0.312862 |
| national public health | 0.45443 |
| National Cancer Institute | 0.779786 |
| Weinstock MA | 0.316344 |
| skin cancer treatment | 0.495239 |
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| Cancer Statistics | 0.418337 |
| non-Hispanic white females | 0.405737 |
| health care | 0.342138 |
| National Institutes | 0.404191 |
| U.S. residents | 0.334001 |
| Prevent Skin Cancer | 0.532993 |
| Contact GPO | 0.316243 |
| indoor tanning | 0.407011 |
| systematic review | 0.307473 |
| Prev Med.In press | 0.423276 |
| Guy GP | 0.525804 |
| Br J Dermatol | 0.343177 |
| sun protection | 0.320771 |
| Surgeon General | 0.430146 |
| United States Cancer | 0.46772 |
| Incidence estimate | 0.33502 |
| Incidence Database | 0.330295 |
| original paper copy | 0.381572 |
| non-Hispanic white women | 0.43416 |
| policy makers | 0.312537 |
| Rogers HW | 0.311484 |
| nonmelanoma skin cancer | 0.651001 |
| Holman DM | 0.414641 |
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Centers for Disease Control and Prevention |
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Science Clips - Monday, July 05, 2010 |
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| respondent-driven sampling surveys | 0.671178 |
| disease control research | 0.69216 |
| health information technology. | 0.69007 |
| Acute radiation syndrome | 0.671562 |
| public health challenges | 0.701951 |
| National Construction Agenda | 0.678179 |
| CDC Knowledge | 0.723767 |
| temporary certification program | 0.670016 |
| Action Science Clips | 0.952483 |
| early personal health | 0.688163 |
| new weekly digest | 0.68495 |
| field testing draft | 0.68649 |
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| County Osteoarthritis Project | 0.682608 |
| child health study | 0.694798 |
| rotavirus vaccination program | 0.688538 |
| Clin Infect Dis. | 0.678051 |
| national probability sample | 0.678008 |
| child psychological problems | 0.668615 |
| Bennett NM | 0.671579 |
| Environ Health Perspect. | 0.70262 |
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| Rotavirus disease burden | 0.69309 |
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| folic acid | 0.711516 |
| public health | 0.736093 |
| Jun | 0.689948 |
| state physical education | 0.672619 |
| Longini Jr IM | 0.675184 |
| avian influenza virus | 0.671223 |
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| public health literature | 0.696045 |
| B. Thacker CDC | 0.792904 |
| Vaccinia virus infection | 0.669894 |
| Arnold KE | 0.676441 |
| Candida albicans group | 0.672424 |
| progressive radiographic osteoarthritis | 0.6823 |
| military smallpox vaccinee | 0.669978 |
| H1N1 influenza pandemic | 0.679632 |
| West Nile virus | 0.674086 |
| NIOSH Construction Program | 0.676598 |
| Thacker CDC Library | 0.79289 |
| vaccine stockpile design | 0.673361 |
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Centers for Disease Control and Prevention |
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en |
Section 302 of the Tobacco Control Act - Study and Report |
null |
| 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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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 |
Html |
en |
ELISA Software for Bioassays | Home |
Home page for the ELISA for Windows. A series of programs or program modules which process bioassay data collected from 96 well ELISA plates downloaded from several different models of ELISA readers. |
| ELISA readers | 0.77708 |
| validation documents | 0.633397 |
| instructions | 0.442913 |
| program modules | 0.631194 |
| list Skip | 0.850972 |
| software | 0.473064 |
| import | 0.447129 |
| page options Skip | 0.968464 |
| different models | 0.645581 |
| simple ASCII text | 0.838104 |
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| data file | 0.620226 |
| Windows | 0.486419 |
| navigation Skip | 0.854261 |
| analyses | 0.447522 |
| series | 0.48619 |
| Note | 0.444724 |
| Questions | 0.442514 |
| programs | 0.444705 |
| user | 0.44324 |
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Centers for Disease Control and Prevention |
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Healthy and Safe Swimming Week - May 18-24, 2015 |
May 18–24, 2015, marks the 11th annual Healthy and Safe Swimming Week (formerly known as Recreational Water Illness and Injury Prevention Week). This observance highlights ways in which swimmers, parents, pool owners and operators, beach managers, and public health can maximize the health benefits of water-based physical activity, while minimizing the risk for recreational water–associated illness and injury. More information is available at http://www. |
| endorsement | 0.575543 |
| observance | 0.5283 |
| Human Services | 0.775521 |
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| MMWR HTML versions | 0.763953 |
| beach managers | 0.666109 |
| electronic PDF version | 0.749085 |
| water playgrounds | 0.661243 |
| free promotional materials | 0.778226 |
| recreational water–associated illness | 0.806522 |
| water-based physical activity | 0.812494 |
| Contact GPO | 0.672114 |
| pool owners | 0.666311 |
| commercial sources | 0.643789 |
| Healthy Splash | 0.686453 |
| current prices | 0.638327 |
| voluntary guidance document | 0.763192 |
| original paper copy | 0.744769 |
| local authorities | 0.647389 |
| health benefits | 0.695941 |
| hot tubs | 0.655806 |
| parents | 0.550003 |
| public health communications | 0.794958 |
| potential MAHC changes | 0.769509 |
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| Injury Prevention | 0.668837 |
| Germs | 0.534236 |
| original MMWR paper | 0.758144 |
| U.S. Government Printing | 0.748139 |
| Safe Swimming | 0.799746 |
| infectious pathogens | 0.652194 |
| CMAHC members* | 0.647442 |
| MMWR readers | 0.651763 |
| character translation | 0.635784 |
| aquatics sector | 0.643576 |
| waterparks | 0.539061 |
| public health | 0.804419 |
| format errors | 0.639042 |
| typeset documents | 0.645852 |
| trade names | 0.6439 |
| official text | 0.633905 |
| non-CDC sites | 0.642949 |
| Model Aquatic Health | 0.931825 |
| Recreational Water Illness | 0.817546 |
| effective steps swimmers | 0.792862 |
| Aquatic Health Code | 0.931691 |
| water activities | 0.653863 |
| Swimming brochure | 0.656113 |
| electronic conversions | 0.634615 |
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Centers for Disease Control and Prevention |
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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 |
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| 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 |
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| 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 |
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| 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 |
| Descripción Instructor Participante | 0.417291 |
| This module | 0.994881 |
| Get Support This | 0.433409 |
| Module Description Coach | 0.418684 |
| lifestyle coach | 0.415593 |
| More Active This | 0.432766 |
| 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 |
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| 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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