| 4728 |
Centers for Disease Control and Prevention |
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Breastfeeding: Data: Breastfeeding Report Card | DNPAO | CDC |
null |
| community members | 0.342381 |
| CDC Breastfeeding Report | 0.735557 |
| public health practitioners | 0.466011 |
| key community settings | 0.446131 |
| breastfeeding practices | 0.540649 |
| interactive tool | 0.319451 |
| latest rates | 0.323935 |
| variety | 0.219206 |
| child care providers | 0.467359 |
| Trends | 0.247966 |
| Healthy People | 0.332037 |
| Card indicators measure | 0.454667 |
| obesity | 0.22431 |
| goals | 0.221083 |
| National Immunization Survey | 0.664883 |
| health professionals | 0.344178 |
|
| family members | 0.343264 |
| U.S. infants | 0.328506 |
| types | 0.221295 |
| Immunization Survey data | 0.468854 |
| DNPAO National Immunization | 0.465636 |
| state-specific data | 0.440703 |
| Breastfeeding Report Card | 0.90573 |
| Indicator Category | 0.329581 |
| view statistics | 0.321104 |
| Survey web page | 0.433228 |
| physical activity | 0.318631 |
| breastfeeding data | 0.568352 |
| support | 0.219847 |
| state-level data | 0.377912 |
| current data | 0.348232 |
| Maps database | 0.327017 |
|
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Centers for Disease Control and Prevention |
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Barriers to colorectal cancer screening: physician and general population perspectives, New Mexico, 2006 |
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| 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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Centers for Disease Control and Prevention |
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Radiation Emergencies - Protecting Yourself and Your Family |
Information on terrorism and public health. Provided by the Centers for Disease Control and Prevention (CDC). |
| pets | 0.402189 |
| disaster situations | 0.907171 |
| local officials | 0.849797 |
| radiation emergency | 0.851651 |
|
| specific actions | 0.888701 |
| ones | 0.469126 |
| people | 0.471712 |
|
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| 7611 |
Centers for Disease Control and Prevention |
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Years of Potential Life Lost from Unintentional Injuries Among Persons Aged 0-19 Years - United States, 2000-2009 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| injury prevention programs | 0.391293 |
| motor vehicle traffic | 0.447481 |
| unintentional injuries | 0.928281 |
| South Central states | 0.459102 |
| premature injury death | 0.398255 |
| annual population estimates | 0.387437 |
| YPLL rate | 0.503049 |
| national YPLL rate | 0.414903 |
| injury–related crude mortality | 0.450827 |
| YPLL rates | 0.512102 |
| transport-related injuries | 0.404343 |
| National Vital Statistics | 0.466153 |
| unintentional firearm | 0.43048 |
| unintentional injury–related crude | 0.524368 |
| injury prevention strategies | 0.524096 |
| Nagesh N. Borse | 0.440291 |
| Unintentional Injury Prevention | 0.474342 |
| persons | 0.526657 |
| lowest YPLL rates | 0.405284 |
| crude mortality rate | 0.449419 |
| Childhood Injury Prevention | 0.427331 |
| pedestrian injuries | 0.397265 |
| Unintentional injury deaths | 0.494777 |
| suffocation injuries | 0.416016 |
| United States | 0.573068 |
|
| potential life | 0.480326 |
| age group | 0.408696 |
| 100,000 | 0.400459 |
| injury mechanism | 0.42389 |
| premature death | 0.391274 |
| motor vehicle | 0.523679 |
| YPLL rate calculations | 0.41545 |
| highlights childhood causes | 0.387299 |
| 5-year age groups | 0.391076 |
| multiple cause | 0.387289 |
| injury prevention | 0.589242 |
| local health departments | 0.43696 |
| highest YPLL rates | 0.404371 |
| Unintentional childhood injuries | 0.521098 |
| adjacent states | 0.39029 |
| South Dakota | 0.43105 |
| Mountain states | 0.391692 |
| 5-year age | 0.391216 |
| young persons | 0.43718 |
| simple method | 0.390021 |
| nonfatal injuries | 0.441237 |
| American Indian/Alaska Native | 0.464873 |
| death files | 0.395018 |
| National Action Plan | 0.425231 |
|
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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 |
| 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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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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| 12398 |
Centers for Disease Control and Prevention |
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Measles Move Fast (616W x 1241H) |
null |
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Centers for Disease Control and Prevention |
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Hunger and Behavioral Risk Factors for NoncommunicableDiseases in School-Going Adolescents in Bolivia, 2012 |
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. |
| significantly greater odds | 0.457993 |
| public health interventions | 0.455356 |
| United Nations | 0.489144 |
| vegetable consumption | 0.932331 |
| complex sample design | 0.455651 |
| SAS Institute Inc. | 0.452719 |
| nondaily fruit | 0.830884 |
| odds ratio | 0.480919 |
| daily sugar-sweetened soda | 0.585344 |
| Urban Public Health | 0.450668 |
| fully conditional specification | 0.451923 |
| lowest hunger prevalence | 0.601621 |
| global school-based student | 0.644886 |
| sugar-sweetened soda consumption | 0.740797 |
| overall survey response | 0.462516 |
| school-going adolescents | 0.489156 |
| greater odds | 0.466348 |
| behavioral risk factors | 0.778553 |
| risk factors | 0.823792 |
| World Health Organization | 0.597194 |
| body mass index | 0.459364 |
| response rate | 0.50305 |
| current tobacco users | 0.481115 |
| current alcohol | 0.513523 |
|
| various risk factors | 0.461705 |
| highest hunger prevalence | 0.59786 |
| hunger | 0.987769 |
| traditional behavioral risk | 0.483494 |
| school response rate | 0.455376 |
| household food insecurity | 0.930803 |
| communicable disease burden | 0.468721 |
| current tobacco | 0.889143 |
| hunger contributes | 0.532655 |
| adequate physical activity | 0.477893 |
| Bolivia | 0.580603 |
| nationally representative survey | 0.469468 |
| school-based student health | 0.644662 |
| public health | 0.455414 |
| multivariable logistic regression | 0.612557 |
| AOR | 0.54175 |
| Student Health Survey | 0.640592 |
| sample design | 0.472783 |
| hunger status | 0.542236 |
| growth reference data | 0.465214 |
| physical activity | 0.516516 |
| Health Organization child | 0.472352 |
| school meal programs | 0.545536 |
| poorer general health | 0.459541 |
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Motor Vehicle Crash Deaths | VitalSigns |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| great public health | 0.630669 |
| car seat | 0.712177 |
| major risk factors | 0.608381 |
| booster seat | 0.71973 |
| 20th century | 0.567768 |
| high—income countries* | 0.563794 |
| MV PICCS | 0.556126 |
| comparison countries | 0.685465 |
| size-appropriate car seats | 0.62843 |
| risk factors | 0.622929 |
| direct medical costs | 0.722438 |
| Support traffic safety | 0.603899 |
| Police officers | 0.559887 |
| crash deaths | 0.990686 |
| motor vehicle safety | 0.617856 |
| booster seats | 0.675968 |
| car seats | 0.668743 |
| safe teen driving | 0.607207 |
| population size | 0.55818 |
| crash death rate | 0.687055 |
| New Zealand | 0.56321 |
| View large image | 0.609496 |
| impaired driving | 0.56818 |
| high—income countries | 0.57127 |
| Motor Vehicle Prioritizing | 0.614985 |
|
| Lower death rates | 0.621596 |
| seat belts | 0.739706 |
| high-income countries | 0.71647 |
| Obey speed limits | 0.729701 |
| cell phone | 0.620922 |
| motor vehicle | 0.777901 |
| motor vehicle injury | 0.618714 |
| vehicle crash deaths | 0.772238 |
| registered vehicles | 0.561083 |
| pre-set low limit | 0.610104 |
| drunk driving | 0.686149 |
| text description | 0.559679 |
| federal partners | 0.558763 |
| United Kingdom | 0.622323 |
| Zero—a road safety | 0.602567 |
| lower BAC levels | 0.615541 |
| define drunk driving | 0.612882 |
| visible police presence | 0.599264 |
| average rate | 0.562187 |
| seat belt | 0.918047 |
| highest death rate | 0.614677 |
| enforcement seat belt | 0.717071 |
| high percentage | 0.56533 |
| motor vehicle crashes | 0.644561 |
|
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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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