| 4501 |
Centers for Disease Control and Prevention |
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CDC A-Z Index - F |
CDC A-Z Index |
| Field Epidemiology Training | 0.745543 |
| Health Prevention Service | 0.648772 |
| Microsoft PowerPoint file | 0.563469 |
| Foodborne Illness Estimates | 0.582287 |
| Microsoft Word file | 0.56709 |
| Fungal Meningitis | 0.557429 |
| Histoplasma capsulatum Infection | 0.767362 |
| Epidemiology Training Program | 0.746255 |
| Search Form Controls | 0.708911 |
| Francisella tularensis Infection | 0.664216 |
| C. gattii cryptococcosis | 0.543482 |
| Public Health Prevention | 0.648521 |
| Privacy Act | 0.557453 |
| A-Z Index | 0.959763 |
| Program (FETP) | 0.553062 |
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| Strep Infection | 0.620565 |
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| Fragile X Syndrome | 0.546036 |
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| Older Adults | 0.58842 |
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| [Dermatophyte Infection] | 0.66145 |
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| Foodborne Diseases Centers | 0.679744 |
| Fungal Eye Infections | 0.658354 |
| Apple Quicktime file | 0.558347 |
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| FEMA Trailer Study | 0.674611 |
| Foodborne Illness | 0.611072 |
| Pandemic Flu | 0.580624 |
| Information Act | 0.59876 |
| Multistate Foodborne Outbreaks | 0.597339 |
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| Adobe PDF file | 0.55971 |
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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 |
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| people | 0.307448 |
| recommendations | 0.26152 |
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| severe allergic conditions | 0.65992 |
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Centers for Disease Control and Prevention |
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Warfarin - NIOSH Pocket Guide to Chemical Hazards |
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| PDF | 0.261307 |
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| DOC | 0.368812 |
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Centers for Disease Control and Prevention |
Html |
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Dialysis BSI Prevention Collaborative | Dialysis Safety | CDC |
CDC – Chronic hemodialysis patients are at high risk for infection because the process of hemodialysis requires vascular access for prolonged periods. |
| Centers | 0.324545 |
| country | 0.321677 |
| BSI Prevention Collaborative | 0.858947 |
| outpatient dialysis | 0.786408 |
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| hospital-based outpatient dialysis | 0.775461 |
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| CDC Dialysis BSI | 0.814116 |
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| Mid-Atlantic Renal Coalition | 0.594081 |
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| bloodstream infections | 0.705641 |
| Maryland Department | 0.452305 |
| facilities measure BSIs | 0.546894 |
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| Dialysis BSI Prevention | 0.978523 |
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Centers for Disease Control and Prevention |
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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 |
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| green space | 0.813863 |
| health outcomes | 0.620917 |
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| fewer obese residents | 0.636584 |
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| community facilities | 0.617002 |
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| 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 |
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| 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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Centers for Disease Control and Prevention |
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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 |
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| 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 |
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| 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 |
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| practice-based research networks | 0.605088 |
| health system data | 0.605215 |
| Behavioral Risk Factor | 0.597609 |
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| 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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Centers for Disease Control and Prevention |
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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. |
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Centers for Disease Control and Prevention |
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DHDSP Data Trends and Maps Using this Site - Viewing Location Summary'DHDSP'CDC |
DHDSP Data Trends and Maps Help |
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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). |
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| Ebola surveillance | 0.560902 |
| Jennifer C. Baumgartner | 0.447418 |
| New York City | 0.46414 |
| MMWR Early Release | 0.453649 |
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| laboratory studies | 0.433873 |
| citywide conference calls | 0.430647 |
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| F. Kennedy International | 0.43349 |
| Isaac Benowitz | 0.444424 |
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| 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 |
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| Ebola cases | 0.570302 |
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| Ebola case | 0.569331 |
| Sharon E. Balter | 0.452081 |
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| health care workers | 0.637277 |
| Scott A. Harper | 0.448699 |
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| New York | 0.540533 |
| Lucretia E. Jones | 0.453748 |
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| local health care | 0.48883 |
| Ebola testing | 0.61777 |
| West Africa | 0.57623 |
| DOHMH medical epidemiologists | 0.457572 |
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| MD2 | 0.444716 |
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Type 2 Diabetes: All in the Family? |
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| family members | 0.716599 |
| risk factors | 0.431036 |
| certain habits | 0.471154 |
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| share experiences | 0.411363 |
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| type | 0.365761 |
| mm Hg | 0.491318 |
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| CDC Diabetes | 0.809017 |
| diabetes | 0.972951 |
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