| 993 |
Centers for Disease Control and Prevention |
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Update on Vaccine-Derived Polioviruses - Worldwide, July2012-December 2013 |
Ousmane M. Diop, PhD1, Cara C. Burns, PhD2, Steven G. |
| AFP onset | 0.684842 |
| corresponding OPV strain | 0.769631 |
| sewage samples | 0.714735 |
| polio outbreaks | 0.625161 |
| Polio Laboratory Network | 0.747116 |
| AFP patients | 0.939848 |
| cVDPV3 outbreak | 0.674196 |
| new circulating VDPV | 0.649814 |
| AFP cases | 0.701442 |
| divergent vaccine-derived polioviruses | 0.621607 |
| prolonged iVDPV infections | 0.656416 |
| vaccination coverage | 0.656545 |
| cVDPV outbreaks | 0.6532 |
| indigenous cVDPV2 outbreak | 0.710934 |
| highly divergent avdpv1s | 0.657831 |
| OPV | 0.800189 |
| reporting period | 0.688565 |
| primary immunodeficiency | 0.698349 |
| new outbreak | 0.635933 |
| new outbreaks | 0.657958 |
| Nigeria | 0.684245 |
| routine immunization schedules | 0.675559 |
| iVDPV infections | 0.732102 |
|
| polio vaccination coverage | 0.656017 |
| World Health Organization | 0.675028 |
| VDPVs | 0.674684 |
| environmental samples | 0.701625 |
| immunologically normal OPV | 0.632351 |
| inactivated poliovirus vaccine | 0.68906 |
| Chad. Circulating VDPV2s | 0.620606 |
| countries | 0.659679 |
| severe combined immunodeficiency | 0.764305 |
| low OPV coverage | 0.64685 |
| AFP case | 0.689104 |
| acute flaccid paralysis | 0.664403 |
| AFP patient | 0.932867 |
| vaccine-derived polioviruses | 0.643852 |
| large outbreak | 0.709025 |
| primary immunodeficiencies | 0.623439 |
| recent cVDPV outbreaks | 0.635393 |
| high OPV coverage | 0.620033 |
| newly identified persons | 0.619682 |
| Global Polio Laboratory | 0.744032 |
| Regional Office | 0.687754 |
| outbreaks | 0.689392 |
| Angola. An AFP | 0.681445 |
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| 4928 |
Centers for Disease Control and Prevention |
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Science Clips - Monday, January 31, 2011 |
null |
| skin cancer risk | 0.873844 |
| equid herpesvirus-2 infection | 0.867564 |
| skin cancer prevention | 0.874584 |
| intertypic vaccine-related poliovirus | 0.870038 |
| public health genomics | 0.917723 |
| filter-based gas adsorption | 0.867499 |
| Inj Contr Saf | 0.879749 |
| PLoS One. | 0.982748 |
| nanoparticle surface area | 0.870095 |
| CDC Science Clips | 0.985151 |
| U.S. young adults | 0.875035 |
| arboviral disease threat | 0.872227 |
| Chief Science Officer | 0.883318 |
| herpes zoster disease | 0.868086 |
| Public Relat Res. | 0.880266 |
| Sobsey MD | 0.87772 |
| Stefaniak AB | 0.868953 |
| 2009 pandemic | 0.880396 |
| public relations practitioners | 0.875174 |
| Stephen B. Thacker | 0.945185 |
| Int J Epidemiol. | 0.878326 |
| pneumococcal polysaccharide vaccine | 0.871406 |
| congenital heart defects | 0.866255 |
| United States | 0.873923 |
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| BMC Infect Dis. | 0.892595 |
| Borne Zoonotic Dis. | 0.872287 |
| Linked Mortality Study | 0.866017 |
| Non-fatal conductive energy | 0.866081 |
| short message service | 0.87536 |
| acute respiratory infection | 0.874543 |
| blood stream infection | 0.865424 |
| national birth defects | 0.871013 |
| Eastern equine encephalitis | 0.869558 |
| pandemic influenza | 0.875009 |
| Atlanta metropolitan area | 0.872563 |
| public health | 0.959082 |
| public health investigation | 0.905552 |
| tobacco prevention messages | 0.86878 |
| public health literature | 0.899212 |
| Older adult pedestrian | 0.866581 |
| B. Thacker CDC | 0.974352 |
| health care germicides | 0.891332 |
| lung alveolar macrophage | 0.865965 |
| Jan | 0.965852 |
| Infect Dis J. | 0.8833 |
| antiretroviral treatment adherence | 0.872612 |
| low birth weight | 0.873636 |
| Ventricular septal defects | 0.868136 |
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Centers for Disease Control and Prevention |
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Information for Specific Groups|Extreme Heat |
Information on extreme heat. Provided by the Centers for Disease Control and Prevention (CDC). |
| Microsoft PowerPoint file | 0.74017 |
| Extreme Heat Older | 0.751517 |
| Carbon Monoxide Poisoning | 0.877735 |
| Vibrio vulnificus Wound | 0.730501 |
| Water Safe | 0.739683 |
| Winter Weather Checklists | 0.742172 |
| Evacuation Center Play | 0.745751 |
| Microsoft Word file | 0.743603 |
| Hot Weather Tips | 0.741497 |
| Control Infection Control | 0.72308 |
| Response Workers Health | 0.758893 |
| Natural Disasters | 0.722601 |
| Lightning Safety Tips | 0.762197 |
| Microsoft Excel file | 0.739118 |
| page options Skip | 0.756821 |
| Safety Food Safety | 0.813127 |
| different file formats | 0.741651 |
| Public Evacuation Centers | 0.757339 |
| Disaster Resources Educational | 0.768623 |
| Apple Quicktime file | 0.735615 |
| Missouri Cooling Centers | 0.73642 |
| Cold Weather Hypothermia | 0.72842 |
| Wildfires PSAs | 0.729848 |
| Building Water Systems | 0.737473 |
| Adobe PDF file | 0.736935 |
|
| Pressure Washer Safety | 0.743718 |
| Evacuation Centers | 0.86552 |
| Storm Indoor Safety | 0.759848 |
| Tsunamis Health Effects | 0.740713 |
| Social Media | 0.727358 |
| processing SSI file | 0.739857 |
| Winter Weather | 0.752879 |
| Search Form Controls | 0.862389 |
| Pesticide Safety Guidance | 0.749867 |
| Disaster Evacuation Centers | 0.793259 |
| Emergency Health Professionals | 0.754397 |
| Disaster Immunization Immunization | 0.75949 |
| Extreme Heat PSAs | 0.816382 |
| Outdoor Safety | 0.761917 |
| Extreme Heat | 0.99106 |
| outdoor workers | 0.733624 |
| Vulnerable Groups | 0.800172 |
| Search Controls | 0.750042 |
| Tsunami Worker Safety | 0.758587 |
| Floods PSAs | 0.730319 |
| Educational Materials | 0.818311 |
| Community Evacuation Centers | 0.758463 |
| Worker Safety | 0.847706 |
| Severe Weather | 0.722519 |
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Preventing Chronic Disease | Racial and Ethnic Differences in Physical Activity and Bone Density: National Health and Nutrition Examination Survey, 2007"2008 - CDC |
Participation in regular physical activity (PA) may help maintain bone health as people age. However, most American adults do not engage in the recommended minimum levels of PA, and there are racial/ethnic differences in PA participation. |
| femoral bone mineral | 0.402554 |
| bone density groups | 0.401617 |
| Non-Hispanic white men | 0.402309 |
| low PA category | 0.363107 |
| mineral density values | 0.390173 |
| high school education | 0.379979 |
| non-Hispanic black women | 0.41698 |
| bone mineral density | 0.928468 |
| higher bone mineral | 0.409023 |
| normal bone density | 0.408042 |
| mineral density analysis | 0.385308 |
| bone mineral content | 0.393582 |
| low levels | 0.38317 |
| Nutrition Examination Survey | 0.361862 |
| femur bone mineral | 0.382512 |
| osteoporosis medications | 0.424035 |
| high bone mineral | 0.401368 |
| body mass index | 0.391283 |
| bone health | 0.452994 |
| bone health data | 0.376298 |
| osteoporosis | 0.432182 |
| peak bone mass | 0.366325 |
| poverty–income ratio | 0.469493 |
| lower levels | 0.404351 |
| bone density differences | 0.437443 |
|
| non-Hispanic black men | 0.416695 |
| linear regression models | 0.388524 |
| normal bone mineral | 0.384826 |
| high levels | 0.4089 |
| lower bone mineral | 0.398512 |
| non-Hispanic black counterparts | 0.396747 |
| mineral density distribution | 0.379082 |
| PA participation | 0.365879 |
| mineral density test | 0.383604 |
| racial/ethnically diverse sample | 0.386666 |
| non-Hispanic whites | 0.543458 |
| current physical activity | 0.366668 |
| bone density | 0.557951 |
| non-Hispanic white participants | 0.406248 |
| non-hispanic blacks | 0.607905 |
| bone loss | 0.374171 |
| physical activity | 0.436553 |
| PA distribution levels | 0.362457 |
| mineral density measurement | 0.383268 |
| poor bone health | 0.382578 |
| higher bone density | 0.420458 |
| non-Hispanic white samples | 0.410439 |
| non-Hispanic white women | 0.416972 |
| levels | 0.42011 |
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Vaccine Storage|Natural Disasters and Severe Weather |
Information on disasters. Provided by the Centers for Disease Control and Prevention (CDC). |
| family… | 0.339238 |
| Guide | 0.335933 |
| charcoal grills | 0.649458 |
| carbon monoxide | 0.950552 |
| General info | 0.582777 |
| hurricane | 0.369657 |
| steps | 0.367412 |
| flood | 0.369387 |
| food | 0.342904 |
|
| heat-related illness | 0.64169 |
| water safety | 0.580568 |
| aftermath | 0.380931 |
| heat stress | 0.542196 |
| camp stoves | 0.599626 |
| powerline hazards | 0.69177 |
| carbon monoxide poisoning | 0.935865 |
| Extreme Heat Prevention | 0.74894 |
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Centers for Disease Control and Prevention |
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HIV Infection and HIV-Associated Behaviors Among Persons WhoInject Drugs - 20 Cities, United States, 2012 |
Michael W. Spiller, PhD1, Dita Broz, PhD1, Cyprian Wejnert, PhD1, Lina Nerlander, BMBCh1, Gabriela Paz-Bailey, MD, PhD1, for the National HIV Behavioral Surveillance System Study Group (Author affiliations at end of text). |
| HIV behavioral interventions | 0.395095 |
| new HIV infections | 0.372842 |
| behavioral survey data | 0.298802 |
| health insurance | 0.409653 |
| PWID | 0.69269 |
| male-to-male sexual contact | 0.452984 |
| Michael W. Spiller | 0.345367 |
| HIV prevention | 0.430213 |
| risk behaviors | 0.36404 |
| HIV behavioral intervention | 0.748993 |
| HIV prevalence | 0.483113 |
| male PWID | 0.292893 |
| anonymous HIV testing | 0.40138 |
| HIV infections | 0.434148 |
| HIV-positive test results | 0.412616 |
| higher HIV prevalence | 0.401831 |
| PWID network size | 0.31014 |
| HIV-positive PWID | 0.287446 |
| previous HIV-positive test | 0.357318 |
| group HIV | 0.34658 |
| screening test result | 0.322746 |
| personal HIV status | 0.397291 |
| HIV prevention programs | 0.418857 |
|
| opposite sex partner | 0.386803 |
| positive HIV test | 0.420956 |
| participants | 0.322899 |
| HIV Behavioral Surveillance | 0.472709 |
| HIV acquisition | 0.343116 |
| HIV prevention efforts | 0.375736 |
| HIV behavioral intervention.** | 0.414166 |
| CI | 0.422506 |
| HIV test | 0.450136 |
| NHBS survey | 0.280074 |
| behavioral analysis | 0.355509 |
| HIV-positive test result | 0.34906 |
| injection equipment | 0.346981 |
| vaginal sex | 0.281189 |
| nonreactive screening test | 0.276642 |
| National HIV Behavioral | 0.47325 |
| HIV risk | 0.381233 |
| heterosexual anal sex | 0.353286 |
| HIV | 0.917234 |
| HIV test results | 0.381602 |
| HIV testing | 0.561187 |
| substance abuse treatment | 0.277355 |
| HCV | 0.27672 |
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CDC Community Health Improvement Navigator | CDC Features |
Invest in Your Community: Improve Health and Well-Being for All |
| stakeholders expert-vetted tools | 0.402206 |
| IRS Final Rule | 0.544794 |
| Service Final Rule | 0.35147 |
| online CHI Navigator | 0.477816 |
| community stakeholders | 0.405849 |
| Health Needs Assessments | 0.72902 |
| Collaborative CHI section | 0.418676 |
| collaborative CHI process | 0.370967 |
| targeted tools | 0.240755 |
| Disease Control | 0.241905 |
| brief vignettes highlight | 0.355698 |
| health behaviors | 0.301336 |
| health systems | 0.618767 |
| high-priority actions | 0.245559 |
| population health | 0.296303 |
| greater impact | 0.357925 |
| Asked Questions section | 0.359929 |
| economic vitality | 0.243892 |
| Excise Tax Return | 0.319892 |
| community health | 0.916758 |
| adequate nutrition—and | 0.228738 |
| relevant quotations | 0.230905 |
| public health agencies | 0.632349 |
| Community Health Needs | 0.720483 |
|
| community health systems | 0.451256 |
| collaborative CHI work | 0.414127 |
| Charitable Hospitals | 0.573209 |
| Key target audiences | 0.33202 |
| fact sheets | 0.234992 |
| patient outcomes | 0.228389 |
| action areas | 0.359102 |
| Interventions section | 0.277073 |
| potential partners | 0.237492 |
| health departments | 0.304765 |
| health care | 0.588331 |
| community organizations | 0.281314 |
| community partners | 0.282665 |
| clinical care | 0.232919 |
| Review information | 0.234377 |
| CHI Efforts section | 0.410008 |
| CHI process | 0.438213 |
| CHI Navigator | 0.93956 |
| collaborative chi | 0.449364 |
| community health assessment | 0.466575 |
| health care sector | 0.417083 |
| sustainable financial model | 0.328748 |
| greatest impact | 0.237523 |
| Community health improvement | 0.516138 |
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Centers for Disease Control and Prevention |
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EstadÍsticas sobre el cÁncer asociado al VPH |
Estadísticas sobre el cáncer asociado al VPH. |
| Archivo Apple Quicktime | 0.635592 |
| Archivo RealPlayer | 0.511281 |
| Archivo Zip Comprimido | 0.629015 |
| Archivo Microsoft PowerPoint | 0.640958 |
|
| Archivo Adobe PDF | 0.617618 |
| Archivo Microsoft Excel | 0.611209 |
| Archivo Microsoft | 0.918953 |
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Centers for Disease Control and Prevention |
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Microsite Home Page | Million Hearts |
Million Hearts microsite home page. |
| practice | 0.359471 |
| public health practitioners | 0.636369 |
| Physical Activity | 0.699224 |
| cardiovascular risk factors | 0.610337 |
| tobacco cessation | 0.49669 |
| Disease Control | 0.516009 |
| clinical support | 0.472525 |
| lower their blood | 0.480467 |
| Action Guides | 0.486661 |
| bimonthly e-newsletters | 0.47552 |
| physical activity programs | 0.618142 |
| evidence-based strategies | 0.48911 |
| blood pressure | 0.987045 |
| individual’s risk | 0.473927 |
| Numerous medication adherence | 0.671402 |
| plain sight | 0.478325 |
| ambitious goal | 0.505092 |
| Help patients | 0.473423 |
| blood pressure control | 0.658203 |
| Access information | 0.470681 |
| self-measured blood pressure | 0.848862 |
| Explore heart disease | 0.620383 |
| smoking cessation | 0.492818 |
| clinician-led interventions | 0.46819 |
| Million Hearts® Action | 0.712324 |
|
| outdoor activity | 0.47696 |
| heart attacks | 0.658111 |
| hypertension treatment | 0.551902 |
| evidence-based protocols | 0.496435 |
| assess information | 0.470555 |
| clinical quality | 0.463242 |
| poor air quality | 0.609472 |
| stroke risks | 0.466914 |
| Hearts® news | 0.470685 |
| cardiovascular health | 0.498649 |
| Medicaid Services | 0.500459 |
| undiagnosed hypertension | 0.709018 |
| cholesterol management | 0.679409 |
| heart disease | 0.983401 |
| latest data | 0.458659 |
| home blood pressure | 0.644673 |
| long-term exposure | 0.465179 |
| social media | 0.463012 |
| blood pressure monitoring | 0.841305 |
| Particle Pollution | 0.46956 |
| health IT-related tools | 0.623804 |
| national initiative | 0.492153 |
| adverse impact | 0.47525 |
| Guide series | 0.481468 |
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Gay and Bisexual Men's Health | CDC |
Learn more about the diverse population of men who have sex with men (MSM), including their unique public health needs. |
| well-being | 0.381244 |
| overview | 0.348783 |
| website | 0.34898 |
| different health | 0.546272 |
| CDC | 0.383721 |
| unique experiences | 0.599637 |
| services | 0.35047 |
| bisexual men | 0.974117 |
|
| issues | 0.348325 |
| high quality health | 0.79844 |
| mental health needs | 0.80505 |
| activities | 0.348725 |
| ability | 0.36929 |
| programs | 0.34859 |
| diverse community | 0.647819 |
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