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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | The Tennessee Department of Health WORKshops on Use of Secondary Data for Community Health Assessment, 2012 - CDC |
Community health assessment is a core function of public health departments, a standard for accreditation of public health departments, and a core competency for public health professionals. The Tennessee Department of Health developed a statewide initiative to improve the processes for engaging county health departments in assessing their community’s health status through the collection and analysis of secondary data. One aim of the Tennessee Department of Health was to position county public health departments as trusted leaders in providing population data and engaging community stakeholders in assessments. |
| county health councils | 0.418876 |
| data | 0.668529 |
| TDH priority health | 0.30976 |
| health department staffs | 0.293145 |
| public health departments | 0.38454 |
| health issues | 0.352669 |
| public health accreditation | 0.437613 |
| PPA staff | 0.35975 |
| health department staff | 0.292376 |
| public health services | 0.403385 |
| Tennessee Public Health | 0.313517 |
| population health data | 0.358431 |
| Public Health Infrastructure | 0.346589 |
| TDH data resources | 0.307774 |
| health status | 0.309164 |
| regional health department | 0.302983 |
| state public health | 0.328098 |
| Improved Health Outcomes | 0.318157 |
| county health department | 0.571314 |
| county health issues | 0.339133 |
| county health | 0.732501 |
| CHA data | 0.316783 |
| public health staff | 0.379542 |
| county public health | 0.369872 |
| essential public health | 0.328561 |
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| core public health | 0.312262 |
| National Public Health | 0.310281 |
| local health department | 0.292848 |
| train public health | 0.301844 |
| county health council | 0.332101 |
| state health department | 0.318222 |
| regional county health | 0.309068 |
| TDH | 0.326263 |
| public health professionals | 0.414018 |
| local health | 0.315491 |
| public health needs | 0.308315 |
| public health | 0.998812 |
| participants | 0.409604 |
| Tennessee Department | 0.34791 |
| metropolitan county health | 0.309666 |
| health data | 0.360481 |
| problem statements | 0.322842 |
| Public health leaders | 0.289437 |
| statewide CHA | 0.31091 |
| secondary data | 0.481497 |
| local public health | 0.319686 |
| county health departments | 0.590094 |
| community health assessment | 0.453094 |
| public health data | 0.35698 |
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Centers for Disease Control and Prevention |
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Meningococcal Vaccine for Preteens and Teens |
Meningococcal Vaccine for Preteens, Teens, and Adolescents |
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Centers for Disease Control and Prevention |
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Recommendations - Physical Activity |
Physical Activity Recommendations & Guidelines. Learn more... |
| U.S. Health | 0.368218 |
| Task Force | 0.357241 |
| Mid-course Report | 0.363939 |
| education | 0.311083 |
| Activity Among Youth | 0.390902 |
| Human Services | 0.364496 |
| research | 0.311105 |
| young people ages | 0.419339 |
| amounts | 0.311376 |
| children | 0.32118 |
| school | 0.3205 |
| childcare center | 0.365471 |
| percentage | 0.310759 |
| fitness professionals—and | 0.367067 |
| evidence-based strategies | 0.366551 |
| health care professionals | 0.426065 |
| substantial health benefits | 0.414237 |
| Approaches Combining Transportation | 0.406223 |
| Americans Midcourse Report | 0.446878 |
| adolescents | 0.324047 |
| researchers | 0.311164 |
| wide variety | 0.366336 |
| list | 0.311915 |
| Activity Guidelines Advisory | 0.434706 |
| coaches | 0.311138 |
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| physically active lifestyle | 0.401977 |
| comprehensive set | 0.358646 |
| environment strategies | 0.35892 |
| Lifelong Physical Activity | 0.4432 |
| American population | 0.356387 |
| public health policy | 0.425399 |
| National Physical Activity | 0.44686 |
| important health benefits | 0.418212 |
| young people | 0.460889 |
| Federal Government | 0.361718 |
| Physical Activity Guidelines | 0.788018 |
| teachers | 0.311145 |
| daily physical activity | 0.455702 |
| common activities | 0.371513 |
| Physical Activities | 0.439645 |
| Committee Report | 0.360538 |
| opportunities | 0.310735 |
| Youth Compendium | 0.438858 |
| physical activity | 0.93271 |
| home | 0.31068 |
| Environmental Design | 0.359341 |
| interventions | 0.341343 |
| Community Preventive Services | 0.406908 |
| energy cost | 0.371557 |
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Centers for Disease Control and Prevention |
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West Nile Virus - Health Communication |
Gateway to Health Communication and Social Marketing Practice - West Nile Virus |
| U. S. | 0.56001 |
| townhouse | 0.309867 |
| human cases | 0.347402 |
| Warm weather | 0.346468 |
| West Coast | 0.355891 |
| CDC experts | 0.345772 |
| dramatic increase | 0.346979 |
| New York City | 0.387704 |
| 67-year-old retiree | 0.347689 |
| mode | 0.317097 |
| special roses | 0.345009 |
| severe diseases coma | 0.394972 |
| backyard flower pots | 0.38428 |
| bird | 0.318147 |
| outbreak | 0.321084 |
| increasingly small world | 0.385228 |
| deaths | 0.31996 |
| rare afternoon shower | 0.381696 |
| additional cases | 0.349146 |
| mosquitoes | 0.337982 |
| water shortage | 0.345483 |
| blood meal | 0.34992 |
| Nile virus cases | 0.469447 |
| severe cases | 0.349156 |
| viral encephalitis | 0.353997 |
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| sewage drains | 0.347761 |
| person | 0.328802 |
| tiny plot | 0.344529 |
| flu symptoms | 0.354663 |
| leg muscles | 0.352239 |
| death | 0.318518 |
| west nile virus | 0.916328 |
| summer | 0.314315 |
| timeframe | 0.311084 |
| new disease threats | 0.381762 |
| infected people | 0.406548 |
| West Nile fever | 0.459786 |
| WNV | 0.328774 |
| New York | 0.391466 |
| mosquito-borne diseases | 0.349503 |
| Harold | 0.324227 |
| stagnant pools | 0.350714 |
| Nile Virus infection | 0.466292 |
| bites | 0.319549 |
| rash | 0.310319 |
| infected mosquito | 0.387444 |
| flu shot | 0.343734 |
| disease-carrying insects | 0.346794 |
| clear example | 0.343567 |
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Centers for Disease Control and Prevention |
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Salt - Funding Opportunity Announcement (FOA) - DHDSP |
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| FOA conference | 0.650539 |
| CDC | 0.637763 |
| sound data collection | 0.596109 |
| awardees | 0.600326 |
| applicants | 0.81404 |
| performance measures | 0.68797 |
| sodium reduction | 0.628674 |
| Potential applicants | 0.569502 |
| project period | 0.588823 |
| FOA page | 0.623861 |
| outcome performance measures | 0.606256 |
| FOA | 0.94303 |
| food sector organization/group | 0.599877 |
| budget | 0.589598 |
| indirect costs | 0.583525 |
| cooperative agreement | 0.616657 |
| organizational capacity | 0.653311 |
| FOA outcomes | 0.63597 |
| FOA pages | 0.625541 |
| potential food sector | 0.572396 |
| budget periods | 0.569809 |
| eligible applicants | 0.581732 |
| food sector | 0.840915 |
| priority venues | 0.570969 |
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| long term | 0.572532 |
| largest populations | 0.644608 |
| senior meal site | 0.578308 |
| FOA’s application | 0.62578 |
| venue | 0.674444 |
| data collection instruments | 0.622756 |
| performance measurement plan | 0.599789 |
| trade association affiliates | 0.635363 |
| potential reach | 0.570485 |
| required outcome performance | 0.610017 |
| food sector partners | 0.571346 |
| congregate meal program | 0.569789 |
| senior meal programs | 0.632238 |
| Federal Regulations | 0.586863 |
| logic model | 0.569726 |
| data collection | 0.625074 |
| people | 0.57157 |
| applicant | 0.638362 |
| performance measure | 0.661764 |
| entities | 0.617614 |
| high blood pressure | 0.629334 |
| congregate meal | 0.575223 |
| venues | 0.629202 |
| FOA states | 0.659268 |
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CDC Telebriefing: New Vital Signs Report - What can be done to help children eat less sodium? | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| USDA Undersecretary | 0.686823 |
| media availability | 0.587134 |
| sodium intake | 0.885714 |
| Non-Media | 0.421559 |
| teens | 0.3589 |
| young people | 0.623121 |
| percent | 0.381576 |
| briefing | 0.369472 |
| life | 0.352213 |
| Kevin Concannon | 0.667188 |
| transcript | 0.419858 |
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| heart disease | 0.621175 |
| U.S. DEPARTMENT | 0.580171 |
| Ph.D. | 0.351777 |
| PASSCODE | 0.412589 |
| Tuesday | 0.359161 |
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| Important Instructions | 0.612482 |
| Food | 0.351124 |
| Vital Signs report | 0.953289 |
| CDC Media | 0.696335 |
| question | 0.482366 |
| Nutrition | 0.351061 |
| Consumer Services | 0.605299 |
| touchtone phone | 0.640219 |
| major sources | 0.650161 |
| Ileana Arias | 0.710848 |
| school-aged children | 0.693314 |
| Deputy Principal Director | 0.911224 |
| high blood pressure | 0.891408 |
| HUMAN SERVICES | 0.579256 |
| risk | 0.352594 |
| time | 0.350037 |
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Centers for Disease Control and Prevention |
Video |
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Cote de Pablo para la campaña Conozca Su Cuerpo (:30) |
La actriz Cote de Pablo habla sobre el susto que pasó con el cáncer de cuello uterino y comparte consejos para otras mujeres.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://www.cdc.gov/wcms/videos/low-res/NCCDPHP/2015/cote_video_spanish_30_925635.mp4 |
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Centers for Disease Control and Prevention |
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Hispanic Health: Preventing Type 2 Diabetes | CDC Features |
Government leaders and close-knit families. Olympic athletes and celebrated artist. This month we commemorate Hispanic and Latino culture, connection and contributions. |
| South America | 0.583491 |
| CDC-led National Diabetes | 0.740104 |
| Central America | 0.58352 |
| celebrated artists | 0.58561 |
| modest weight loss | 0.74556 |
| type | 0.719342 |
| Hispanic people | 0.733583 |
| body weight | 0.569307 |
| body’s cells | 0.573676 |
| better checkups | 0.57118 |
| National Hispanic Heritage | 0.788968 |
| Latino culture | 0.582861 |
| healthy lifestyle | 0.570689 |
| greater risk | 0.656576 |
| risk factors | 0.573137 |
| blood sugar levels | 0.768406 |
| close-knit families | 0.587431 |
| regular dialysis | 0.575868 |
| health problems | 0.642922 |
| regular physical activity | 0.626572 |
| Spanish-speaking nations | 0.586704 |
| half times | 0.573306 |
| young adults | 0.629838 |
| body attacks | 0.572613 |
| chronic kidney disease | 0.651078 |
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| kidney failure | 0.719971 |
| National DPP | 0.628359 |
| Olympic athletes | 0.580749 |
| gestational diabetes | 0.839954 |
| heart disease | 0.642844 |
| Hispanic men | 0.612565 |
| nerve damage | 0.572447 |
| health complications | 0.576565 |
| main types | 0.575702 |
| higher risk | 0.576032 |
| prediabetes risk | 0.579297 |
| autoimmune reaction | 0.573104 |
| prediabetes | 0.610393 |
| kidney transplant | 0.586449 |
| great new family | 0.626364 |
| risk factor | 0.577519 |
| physical activity | 0.778034 |
| Government leaders | 0.586665 |
| brisk walking | 0.57019 |
| family history | 0.638166 |
| high blood pressure | 0.635434 |
| simple quiz | 0.569275 |
| vision loss | 0.575898 |
| blood sugar | 0.770896 |
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Centers for Disease Control and Prevention |
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Graduated Driver Licensing Night Driving Restrictions andDrivers Aged 16 or 17 Years Involved in Fatal Night Crashes -United States, 2009-2014 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| total fatal crashes | 0.535952 |
| start time | 0.475105 |
| Highway Traffic Safety | 0.493805 |
| fatal night crashes | 0.53873 |
| GDL provisional license | 0.501649 |
| fatal crash involvements | 0.733314 |
| inexperienced drivers | 0.476551 |
| night fatal crashes | 0.535347 |
| state-level sample sizes | 0.560221 |
| newly licensed teens | 0.553924 |
| minimal protection | 0.493325 |
| GDL system.* GDL | 0.475082 |
| fatal crash | 0.743579 |
| a.m. | 0.586525 |
| 6-year study period | 0.502858 |
| Fatal crash risk | 0.50192 |
| night | 0.735376 |
| National Highway Traffic | 0.493713 |
| young beginner drivers | 0.468764 |
| fatal nighttime crashes | 0.537949 |
| NDRs begin | 0.490984 |
| teen drivers | 0.595247 |
| NDRs | 0.570977 |
| Columbia | 0.491997 |
| provisional license | 0.516431 |
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| State-level analyses | 0.493215 |
| drivers | 0.872762 |
| District | 0.492005 |
| night crashes | 0.657461 |
| South Carolina | 0.483967 |
| states | 0.626747 |
| NDR coverage | 0.494696 |
| U.S. drivers | 0.471063 |
| fatal crash involvement | 0.532907 |
| NDRs beginning | 0.486007 |
| earlier nighttime | 0.490439 |
| NDR | 0.559285 |
| small state-level sample | 0.506934 |
| Traffic Safety Administration | 0.498865 |
| North Dakota | 0.483978 |
| fatal crashes | 0.997392 |
| South Dakota | 0.479712 |
| fatal traffic crashes | 0.527014 |
| night fatal crash | 0.644695 |
| beginner teen drivers | 0.473121 |
| Graduated Driver Licensing | 0.512472 |
| New Mexico | 0.483989 |
| approximately twofold variation | 0.568969 |
| proportions | 0.477086 |
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Centers for Disease Control and Prevention |
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Strengthening the Connection Between the SupplementalNutrition Assistance Program and Farmer's Markets |
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. |
| reasonable proximity | 0.347537 |
| geographic distribution | 0.337476 |
| rural census blocks | 0.424062 |
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| Food Insecurity Nutrition | 0.378353 |
| 10-minute service areas | 0.321062 |
| high SNAP populations | 0.508395 |
| Census Bureau American | 0.298614 |
| SNAP participation | 0.350977 |
| Health’s FINI | 0.361995 |
| market offering FINI | 0.406708 |
| chronic disease risk | 0.288705 |
| Agriculture Food Insecurity | 0.290339 |
| socioeconomically advantaged groups | 0.287592 |
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| large SNAP populations | 0.390937 |
| Insecurity Nutrition Incentive | 0.382823 |
| heart disease | 0.343164 |
| high-SNAP areas | 0.400445 |
| Nutrition Assistance Program | 0.376703 |
| rural areas | 0.326409 |
| SNAP incentive program | 0.426697 |
| Supplemental Nutrition Assistance | 0.375491 |
| GIS Snapshot | 0.316241 |
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| farmer’s markets | 0.992821 |
| vegetable incentives | 0.340061 |
| census tract level | 0.297365 |
| Urban census blocks | 0.305902 |
| future SNAP incentive | 0.509621 |
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| SNAP program | 0.359268 |
| urban areas | 0.31508 |
| FINI grant | 0.457454 |
| potential farmer | 0.323621 |
| service area | 0.343282 |
| Washington State Department | 0.501098 |
| FINI programs | 0.654066 |
| SNAP incentive programming | 0.439984 |
| SNAP incentives | 0.374619 |
| 10-minute drive times | 0.477839 |
| fresh fruits | 0.287634 |
| market locations | 0.286987 |
| SNAP benefits | 0.376143 |
| farmer’s market | 0.425165 |
| extra market tokens | 0.2864 |
| SNAP Nutrition Education | 0.41364 |
| census tract | 0.346501 |
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