| 4543 |
Centers for Disease Control and Prevention |
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Seasonal Influenza Vaccination Resources for Health Professionals |
CDC Centers for Disease Control and Prevention Influenza Flu - vaccination resources for healh care professionals includes links to ACIP resources, flu vaccine information and patient education materials. |
| medical setting | 0.419715 |
| age-appropriate influenza vaccine | 0.730123 |
| health care provider | 0.59442 |
| egg allergies | 0.928041 |
|
| people | 0.307448 |
| recommendations | 0.26152 |
| severe egg allergies | 0.808769 |
| severe allergic conditions | 0.65992 |
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| 4969 |
Centers for Disease Control and Prevention |
Html |
en |
Barriers to colorectal cancer screening: physician and general population perspectives, New Mexico, 2006 |
null |
| CRC testing | 0.487735 |
| electronic medical records | 0.483249 |
| New Mexico BRFSS | 0.501863 |
| upper age limit | 0.502456 |
| primary care providers | 0.588708 |
| CRC screening decision | 0.587979 |
| New Mexico VA | 0.49121 |
| physician respondents | 0.519209 |
| barium enema | 0.500531 |
| CRC screening | 0.894644 |
| Prevention Initiative CRC | 0.496478 |
| Clinical Prevention Initiative | 0.511819 |
| patients | 0.55038 |
| Cancer Screening Practices | 0.560214 |
| markedly different perspectives | 0.48288 |
| CRC incidence | 0.499643 |
| primary care physicians | 0.635761 |
| new CRC cases | 0.525478 |
| respondents | 0.584176 |
| BRFSS respondents | 0.492092 |
| New Mexico Cancer | 0.491576 |
| fecal occult blood | 0.485411 |
| average-risk patients | 0.51859 |
| cancer screening beliefs | 0.56773 |
|
| screening barriers | 0.578602 |
| cancer screening | 0.585632 |
| screening tests | 0.526552 |
| home FOBT | 0.492296 |
| lower endoscopy | 0.548546 |
| general population | 0.505856 |
| flexible sigmoidoscopy | 0.525799 |
| screening practices | 0.668128 |
| CRC screening practices | 0.65687 |
| state-specific CRC screening | 0.632645 |
| effective screening | 0.549411 |
| colonoscopy | 0.483917 |
| health care | 0.483544 |
| New Mexico School | 0.492657 |
| health | 0.485736 |
| barriers | 0.602525 |
| New Mexico | 0.984575 |
| screening procedures | 0.533417 |
| primary care | 0.72679 |
| low screening proportions | 0.573358 |
| screening rates | 0.55476 |
| physician survey | 0.516656 |
| higher screening rates | 0.538624 |
| New Mexico Department | 0.611365 |
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| 6045 |
Centers for Disease Control and Prevention |
Html |
en |
Warfarin - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 7525 |
Centers for Disease Control and Prevention |
Html |
en |
Transportation HIA Toolkit - Strategies: Incorporate Healthy Community Design Features |
Designing and Building Healthy Places |
| social capital | 0.953235 |
| two-year observational study | 0.644965 |
| Street-scale urban design | 0.673177 |
| T. A. Glass | 0.639183 |
| P. P. Groenewegen | 0.640676 |
| mental health | 0.614973 |
| community design characteristics | 0.700336 |
| green space | 0.813863 |
| health outcomes | 0.620917 |
| transit-oriented development | 0.678998 |
| fewer obese residents | 0.636584 |
| minimum parking requirements | 0.623855 |
| Environ Health | 0.628153 |
| community facilities | 0.617002 |
| low social capital | 0.658374 |
| adverse birth outcomes | 0.650557 |
| body mass index | 0.645937 |
| Design streets | 0.622524 |
| lower BMI scores | 0.638539 |
| Community Preventative Services. | 0.665839 |
| grid-like street patterns | 0.659449 |
| G. C. Liu | 0.645336 |
| Mitigate roadway noise | 0.649659 |
| Epidemiol Community Health | 0.695131 |
| urban design | 0.72078 |
|
| Soc Sci Med | 0.633379 |
| W. F. Stewart | 0.637267 |
| cardiovascular health | 0.613537 |
| F. C. Curriero | 0.642998 |
| Transportation Research Board | 0.64274 |
| D. G. Shendell | 0.650794 |
| B. S. Schwartz | 0.639836 |
| Incorporate communal gathering | 0.641593 |
| mixed land uses | 0.679581 |
| individual health | 0.60796 |
| J. S. Wilson | 0.654572 |
| public health | 0.617209 |
| county sprawl index | 0.638578 |
| greater intersection density | 0.653586 |
| health perception | 0.613225 |
| lower socio-economic status | 0.631018 |
| R. A. Verheij | 0.638174 |
| Health Place | 0.617083 |
| systematic review | 0.64696 |
| physical activity | 0.825618 |
| Annual Meeting CD-ROM | 0.637004 |
| Healthy community design | 0.819538 |
| LEED-ND Core Committee. | 0.640002 |
| Measuring Network Connectivity | 0.638773 |
|
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| 8823 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Use of Practice-Based Research Network Data to Measure Neighborhood Smoking Prevalence - CDC |
Practice-Based Research Networks (PBRNs) and health systems may provide timely, reliable data to guide the development and distribution of public health resources to promote healthy behaviors, such as quitting smoking. The objective of this study was to determine if PBRN data could be used to make neighborhood-level estimates of smoking prevalence. |
| logistic regression model | 0.63639 |
| data | 0.700094 |
| overall smoking prevalence | 0.641904 |
| Patient smoking status | 0.599791 |
| Risk Factor Surveillance | 0.596099 |
| community-level smoking prevalence | 0.653606 |
| Harvard Medical School | 0.594824 |
| smoking status | 0.762497 |
| market share | 0.610593 |
| state health departments | 0.601173 |
| BRFSS population-based estimates | 0.616031 |
| BRFSS prevalence | 0.597404 |
| behavioral risk factors | 0.64142 |
| health systems | 0.640306 |
| population smoking data | 0.605777 |
| annual population-based data | 0.597134 |
| undocumented smoking status | 0.59468 |
| smoking status documentation | 0.609056 |
| Massachusetts General Hospital | 0.593822 |
| population-based estimates | 0.640062 |
| Care PBRN practices | 0.617491 |
| practice-based research networks | 0.605088 |
| health system data | 0.605215 |
| Behavioral Risk Factor | 0.597609 |
|
| PBRN prevalence | 0.60287 |
| smoking prevalence | 0.923288 |
| health record data | 0.607147 |
| multiple health systems | 0.612663 |
| Partners Primary Care | 0.766963 |
| EHR data | 0.608178 |
| percentage points | 0.610302 |
| smoking prevalence estimates | 0.675449 |
| national smoking prevalence | 0.632061 |
| routine clinical care | 0.633211 |
| public health | 0.654463 |
| health care | 0.63255 |
| population smoking prevalence | 0.645179 |
| PBRN data | 0.685057 |
| health | 0.712323 |
| neighborhood-level smoking prevalence | 0.738452 |
| neighborhood smoking prevalence | 0.656878 |
| practice-based smoking prevalence | 0.653992 |
| public health data | 0.611454 |
| PBRN estimates | 0.599589 |
| regional smoking prevalence | 0.62891 |
| primary care | 0.78436 |
| population-based smoking prevalence | 0.697837 |
| neighborhood smoking status | 0.614368 |
|
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| 9891 |
Centers for Disease Control and Prevention |
Html |
en |
Stephanie Sansom, Conversations with the CDC Director |
The CDC Director’s webpage offers information on Dr. Thomas Frieden, who became the agency’s 16th director in June 2009. The pages features information on Dr. Frieden’s Weekly Focus, the Latest from Dr. Frieden (his RSS feed), and links to his bio, statements, videos, press releases, media appearances, photos, presentations, and speeches. |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 10391 |
Centers for Disease Control and Prevention |
Html |
en |
DHDSP Data Trends and Maps Using this Site - Viewing Location Summary'DHDSP'CDC |
DHDSP Data Trends and Maps Help |
| indicator | 0.905712 |
| Cardiovascular Diseases | 0.352224 |
| data | 0.778796 |
| data source | 0.71773 |
| Notes section | 0.336494 |
| columns | 0.226171 |
| Suggested Citation section | 0.45533 |
| Source drop-down list | 0.513551 |
| Related Links section | 0.448586 |
| following graphics | 0.351881 |
| indicator category | 0.772336 |
| example | 0.224851 |
| DHDSP Data Trends | 0.458903 |
| indicator sub-category | 0.701812 |
| Maps | 0.224228 |
| data table | 0.380447 |
| Heart Failure | 0.349836 |
| specific indicator | 0.629574 |
|
| HF Mortality | 0.358198 |
| row | 0.226756 |
| Area drop-down list | 0.509473 |
| Calculation Details section | 0.447373 |
| right | 0.225695 |
| Footnotes section | 0.342589 |
| click | 0.225621 |
| priority area | 0.751705 |
| numerator | 0.238522 |
| denominator | 0.236011 |
| Indicator Details page | 0.732958 |
| current location | 0.342981 |
| selection | 0.229627 |
| Indicators column | 0.367813 |
| Location Summary page | 0.496055 |
| Data Source section | 0.464462 |
| information | 0.276267 |
|
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| 10795 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | Developing Theoretically Based and Culturally Appropriate Interventions to Promote Hepatitis B Testing in 4 Asian American Populations, 2006"2011 - CDC |
Hepatitis B infection is 5 to 12 times more common among Asian Americans than in the general US population and is the leading cause of liver disease and liver cancer among Asians. The purpose of this article is to describe the step-by-step approach that we followed in community-based participatory research projects in 4 Asian American groups, conducted from 2006 through 2011 in California and Washington state to develop theoretically based and culturally appropriate interventions to promote hepatitis B testing. We provide examples to illustrate how intervention messages addressing identical theoretical constructs of the Health Behavior Framework were modified to be culturally appropriate for each community. |
| Taylor VM | 0.493171 |
| hepatitis B transmission | 0.487375 |
| hepatitis B virus | 0.594569 |
| hepatitis B booklets | 0.470776 |
| hepatitis B. | 0.549685 |
| self-reported hepatitis | 0.486605 |
| hepatitis b screening | 0.482212 |
| hepatitis b knowledge | 0.522956 |
| hepatitis B blood | 0.553091 |
| intervention development | 0.479528 |
| hepatitis B. Hmong | 0.536597 |
| Hepatitis B Information | 0.476853 |
| guide listing hepatitis | 0.490458 |
| Asian American groups | 0.503112 |
| hepatitis B vaccination | 0.492629 |
| liver disease | 0.498919 |
| hepatitis B infectioncMany | 0.467695 |
| cervical cancer screening | 0.471903 |
| hepatitis B testeThe | 0.466769 |
| community | 0.55447 |
| Asian American populations | 0.490079 |
| cervical cancer | 0.478708 |
| hepatitis B surface | 0.471775 |
| hepatitis B pamphlet | 0.473469 |
| hepatitis BaHepatitis | 0.468942 |
|
| health promotion interventions | 0.508288 |
| Chen MS Jr | 0.475603 |
| intervention | 0.638828 |
| intervention approach | 0.478394 |
| Hepatitis B Internet | 0.47206 |
| cancer screening | 0.521928 |
| print materials | 0.472168 |
| pilot testing | 0.471123 |
| hepatitis b infection | 0.661555 |
| intervention messages | 0.496608 |
| hepatitis B info-cards | 0.471967 |
| Introduction
Hepatitis | 0.512343 |
| health behavior | 0.770886 |
| community-based participatory research | 0.466221 |
| hepatitis B vaccinations | 0.474322 |
| hepatitis B vaccine | 0.468725 |
| hepatitis B infections | 0.487487 |
| hepatitis | 0.92811 |
| lay health workers | 0.692048 |
| chronic hepatitis | 0.594489 |
| hepatitis b testing | 0.920868 |
| et al | 0.681898 |
| high school diploma | 0.515437 |
| liver cancer | 0.607726 |
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| 11792 |
Centers for Disease Control and Prevention |
Html |
en |
Surveillance and Preparedness for Ebola Virus Disease - NewYork City, 2014 |
On October 14, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| clear reporting criteria | 0.427993 |
| Ebola surveillance | 0.560902 |
| Jennifer C. Baumgartner | 0.447418 |
| New York City | 0.46414 |
| MMWR Early Release | 0.453649 |
| infection control guidance | 0.431619 |
| health care providers | 0.698071 |
| laboratory studies | 0.433873 |
| citywide conference calls | 0.430647 |
| West African immigrants | 0.455142 |
| health care community | 0.48425 |
| F. Kennedy International | 0.43349 |
| Isaac Benowitz | 0.444424 |
| health care facilities | 0.496085 |
| low-risk exposure | 0.44037 |
| health care settings | 0.49989 |
| electronic health | 0.469059 |
| Ebola patients | 0.737469 |
| Ebola | 0.824322 |
| Jay K. Varma | 0.446069 |
| Ebola virus disease | 0.654863 |
| alternate diagnoses | 0.436204 |
| affected area | 0.429403 |
| infection control | 0.443698 |
| Ebola cases | 0.570302 |
|
| recent travel history | 0.445553 |
| emergency medical services | 0.442733 |
| Ebola case | 0.569331 |
| Sharon E. Balter | 0.452081 |
| infection control precautions | 0.433143 |
| viral hemorrhagic fever | 0.43475 |
| health care workers | 0.637277 |
| Scott A. Harper | 0.448699 |
| local hospitals | 0.442358 |
| health care | 0.99183 |
| travel history | 0.487191 |
| electronic health alert | 0.46415 |
| Ebola-affected country | 0.446089 |
| New York | 0.540533 |
| Lucretia E. Jones | 0.453748 |
| American health care | 0.522303 |
| Public Health Preparedness | 0.472418 |
| Ellen H. Lee | 0.44708 |
| local health care | 0.48883 |
| Ebola testing | 0.61777 |
| West Africa | 0.57623 |
| DOHMH medical epidemiologists | 0.457572 |
| Ebola-specific data collection | 0.435022 |
| MD2 | 0.444716 |
|
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| 15592 |
Centers for Disease Control and Prevention |
Html |
en |
Type 2 Diabetes: All in the Family? |
null |
| family members | 0.716599 |
| risk factors | 0.431036 |
| certain habits | 0.471154 |
| lifestyle coach | 0.431206 |
| share experiences | 0.411363 |
| Diabetes Program | 0.719725 |
| type | 0.365761 |
| mm Hg | 0.491318 |
| Family history | 0.4361 |
|
| healthy lifestyle—including | 0.436429 |
| good news | 0.438084 |
| physical activity | 0.435476 |
| National Diabetes Prevention | 0.931271 |
| lifestyle changes | 0.435169 |
| better checkups | 0.462223 |
| high blood pressure | 0.727292 |
| CDC Diabetes | 0.809017 |
| diabetes | 0.972951 |
|
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