| 6273 |
Centers for Disease Control and Prevention |
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Multimedia and Tools - FASD |
FASDs are 100% preventable if a woman does not drink alcohol during pregnancy. There is no known safe amount of alcohol to drink while pregnant. There is also no safe time during pregnancy to drink and no safe kind of alcohol. |
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| 7262 |
Centers for Disease Control and Prevention |
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en |
Workgroup Participants in the 2009 Consultation on CDC'sVision for Public Health Surveillance in the 21 |
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. |
| J. Michael Soucie | 0.511144 |
| Karin A. Mack | 0.511079 |
| Larry L. Jackson | 0.505296 |
| Peter A. Briss | 0.512365 |
| Steven L. Reynolds | 0.512081 |
| MPH | 0.553434 |
| Mark A. Rayfield | 0.520638 |
| Carla A. Winston | 0.511329 |
| Daniel M. Sosin | 0.506283 |
| Samuel L. Groseclose | 0.511921 |
| Health Promotion | 0.52102 |
| Public Health Informatics | 0.652869 |
| Patricia A. Drehobl | 0.51186 |
| MD | 0.545869 |
| National Center | 0.99695 |
| Environmental Health | 0.614234 |
| TB Prevention | 0.514503 |
| Global Health | 0.564172 |
| Health Marketing | 0.519424 |
| Myron J. Katzoff | 0.51082 |
| Public Health Statistics | 0.590957 |
| Mark A. Pallansch | 0.519504 |
| PhD | 0.807088 |
| Health Statistics | 0.638357 |
|
| Public Health Genomics | 0.565376 |
| Daniel A. Pollock | 0.514217 |
| City Health Officials | 0.564324 |
| Judith R. Qualters | 0.507458 |
| Stephen L. Cochi | 0.516634 |
| Renee L. Johnson | 0.509977 |
| Respiratory Diseases | 0.508802 |
| Health Metrics Network | 0.566018 |
| Public Health | 0.684171 |
| Injury Prevention | 0.544917 |
| Debra L. Karch | 0.512564 |
| Public Health Laboratories | 0.57882 |
| Public Health Practice | 0.56917 |
| Joseph L. Annest | 0.512231 |
| National Institute | 0.550894 |
| Coordinating Office | 0.543681 |
| Territorial Health Officials | 0.566471 |
| Timothy A. Dignam | 0.514604 |
| National Association | 0.537482 |
| Chronic Disease Prevention | 0.506484 |
| Coordination Center | 0.506183 |
| Hillard S. Weinstock | 0.506024 |
| Health Information | 0.613471 |
| Enteric Diseases | 0.516002 |
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| 7832 |
Centers for Disease Control and Prevention |
Html |
en |
Domestic and Intimate Partner Violence - Health Communication |
Domestic and Intimate Partner Violence - Gateway to Health Communication - CDC |
| severe physical violence | 0.579726 |
| Unhealthy relationships | 0.453522 |
| EDUCATE viewers | 0.453723 |
| Sexual Violence Survey | 0.583801 |
| ongoing battering | 0.453542 |
| National Intimate Partner | 0.583398 |
| IPV | 0.644832 |
| Intimate partners | 0.495584 |
| physical force | 0.467307 |
| Female victims | 0.460438 |
| sexual coercion | 0.469835 |
| physical violence | 0.655788 |
| Psychological/emotional aggression | 0.45951 |
| teen dating violence | 0.560785 |
| victims | 0.492286 |
| violence prevention | 0.526696 |
| sexual health | 0.463673 |
| physical injuries | 0.459208 |
| mental health services | 0.488651 |
| sexual assault | 0.460649 |
| severe IPV | 0.468489 |
| sex act | 0.45735 |
| unwanted sexual contact | 0.513829 |
| adult victims | 0.464332 |
|
| police arrest policies | 0.488227 |
| coercive tactics | 0.456659 |
| prevention strategies | 0.451403 |
| male victims | 0.460391 |
| women | 0.456711 |
| future IPV | 0.472265 |
| nonviolent relationship skills | 0.490289 |
| post-traumatic stress disorder | 0.485631 |
| same-sex partners | 0.457504 |
| intimate partner | 0.953316 |
| INFORM viewers | 0.453809 |
| violence | 0.797561 |
| psychological/emotional harm | 0.463559 |
| sexual violence | 0.607865 |
| primary prevention activities | 0.492956 |
| unhealthy ways | 0.454813 |
| United States–more | 0.452245 |
| single episode | 0.454044 |
| high school students | 0.493235 |
| safety concerns | 0.455642 |
| strong prevention message | 0.488994 |
| public health problem | 0.507139 |
| intimate partner violence | 0.739284 |
| internal bleeding | 0.452033 |
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| 10422 |
Centers for Disease Control and Prevention |
Html |
en |
Sodium Reduction in Communities Program (SRCP)'Programs'DHDSP'CDC |
null |
| sodium intake | 0.559703 |
| Reduce Sodium Intake | 0.531015 |
| public health practitioners | 0.372305 |
| infographic highlights awardees | 0.315215 |
| public health strategy | 0.274454 |
| food service management | 0.271395 |
| sodium reduction | 0.938845 |
| award cycle | 0.278202 |
| PDF-1.7M] | 0.220391 |
| lower sodium options | 0.51076 |
| effective program evaluations | 0.281505 |
| food service | 0.394677 |
| public health | 0.389858 |
|
| lower sodium foods | 0.540015 |
| Communities Program | 0.467335 |
| Public Health Interventions | 0.278592 |
| Stroke Prevention | 0.206105 |
| Territorial Health Officials | 0.269503 |
| food service providers | 0.267852 |
| sodium reduction activities | 0.586379 |
| Heart Disease | 0.208963 |
| Dietary Guidelines | 0.207537 |
| CDC’s Division | 0.216656 |
| food industry partners | 0.288926 |
| CDC’s Evaluation | 0.204636 |
| Communities Program awardees | 0.337441 |
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Centers for Disease Control and Prevention |
Html |
en |
New Mexico: Supporting Breastfeeding in the Workplace - PRAMS - Reproductive Health |
New Mexico: Supporting Breastfeeding in the Workplace, PRAMS |
| flexible breastfeeding policies | 0.798022 |
| infant | 0.440499 |
| New Mexico mothers | 0.735889 |
| companies | 0.417927 |
| Disease Control | 0.492397 |
| school | 0.435746 |
| employer support | 0.517319 |
| postpartum | 0.444218 |
| New Mexico WIC | 0.779477 |
| WIC mothers | 0.683335 |
| Report Card—United States | 0.565407 |
| Mexico WIC program | 0.780864 |
| exclusive breastfeeding | 0.681458 |
| infants | 0.471976 |
| Special Supplemental Nutrition | 0.598257 |
| milk | 0.438551 |
| USDA Grow | 0.496863 |
| analysis | 0.418146 |
| schools | 0.417719 |
| legislators | 0.421996 |
| Glow curriculum | 0.500649 |
| women | 0.532596 |
| peer counseling | 0.596641 |
| physical private location | 0.594604 |
| New Mexico Medical-Legal | 0.600606 |
|
| flexible break times | 0.5889 |
| Annual Report | 0.491529 |
| legal support | 0.49923 |
| U.S. average | 0.491765 |
| breastfeeding law | 0.698796 |
| New Mexico employers | 0.611292 |
| prevalence | 0.449161 |
| nursing mothers | 0.596266 |
| live birth | 0.495489 |
| successful bill passage | 0.497976 |
| employer compliance | 0.506187 |
| PRAMS data | 0.640749 |
| Children | 0.418643 |
| peer counseling programs | 0.579243 |
| education facilities | 0.503015 |
| nonworking mothers | 0.60478 |
| National Immunization Survey | 0.576963 |
| peer counseling program | 0.577181 |
| delivery | 0.42009 |
| Health | 0.418154 |
| Mexico breastfeeding taskforce | 0.833301 |
| NMSA | 0.418398 |
| New Mexico | 0.98775 |
| partners | 0.418607 |
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Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Seasonal Alterations in Park Visitation, Amenity Use, and Physical Activity " Grand Forks, North Dakota, 2012"2013 - CDC |
Park amenities promote visitation and physical activity during summer. Physical activity declines during winter. Identifying park amenities that promote visitation during winter would increase year-round activity. The purpose was to determine how park visitation, amenity choice, and physical activity intensity change across seasons. |
| winter activity | 0.482235 |
| park users | 0.469209 |
| park amenities | 0.488038 |
| spring | 0.491306 |
| parks | 0.524439 |
| Prev Med | 0.491058 |
| park visitors | 0.514165 |
| year-round physical activity | 0.532956 |
| season | 0.473127 |
| young children | 0.467018 |
| Phys Act Health | 0.469028 |
| mean activity intensity | 0.524927 |
| Sci Sports Exerc | 0.478069 |
| physical activity intensity | 0.559804 |
| log-linear models | 0.464709 |
| physical activity type | 0.506888 |
| adult physical activity | 0.493001 |
| winter visitation | 0.482292 |
| frequently used activity | 0.471644 |
| park visitation | 0.609267 |
| lowest park visitation | 0.485526 |
| CrossRef | 0.467085 |
| Agricultural Research Service | 0.519835 |
| winter | 0.566558 |
|
| summer | 0.505044 |
| Grand Forks Park | 0.465925 |
| Introduction
Park amenities | 0.475916 |
| lowest activity intensity | 0.511006 |
| Med Sci Sports | 0.479623 |
| certain park amenities | 0.47319 |
| physical health benefits | 0.482221 |
| North Dakota | 0.495284 |
| park visits | 0.477025 |
| Activity level classifications | 0.474856 |
| park-based physical activity | 0.546143 |
| activity intensity | 0.668519 |
| winter park visitation | 0.507975 |
| physical activity | 0.950028 |
| metabolic equivalents | 0.471728 |
| physical activity declines | 0.542918 |
| greater activity intensity | 0.529905 |
| leisure-time physical activity | 0.561117 |
| Grand Forks | 0.53203 |
| usual physical activity | 0.489474 |
| park observation studies | 0.46377 |
| et al | 0.494595 |
| encourage park visitation | 0.479763 |
| year-round activity | 0.463683 |
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Centers for Disease Control and Prevention |
Html |
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CDC Telebriefing: CDC update on first Ebola case diagnosed in the United States, 10-07-2014 | Transcript | CDC Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
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The New Smoking Story: Going Blind | CDC Features |
A leading cause of vision loss is now clearly linked to smoking. And a woman fighting to save her eyesight tells her story in CDC’s new ads—with the hope of inspiring smokers to quit now.
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| high school | 0.366467 |
| eyesight | 0.358667 |
| blurry vision | 0.358583 |
| health care provider | 0.471944 |
| electronic cigarettes | 0.39802 |
| long-term damage | 0.339985 |
| small portion | 0.34601 |
| cancer deaths | 0.36601 |
| best way | 0.487136 |
| lung cancer | 0.468283 |
| Marlene | 0.385049 |
| church choir | 0.342709 |
| breathing secondhand smoke | 0.42884 |
| age-related macular degeneration | 0.526645 |
| colorectal cancer | 0.552407 |
| U.S. Surgeon General | 0.743126 |
| cancer diagnosis | 0.361769 |
| hard-hitting ads | 0.363827 |
| national tobacco education | 0.505516 |
| macular degeneration | 0.905535 |
| tobacco products | 0.457839 |
| health problems | 0.448706 |
| real people | 0.364689 |
| smokeless tobacco—and | 0.342437 |
| eye disease | 0.651151 |
|
| largest number | 0.346474 |
| United States | 0.365464 |
| Health Consequences | 0.358224 |
| vision problems | 0.347271 |
| dilated eye exam | 0.465922 |
| smokers | 0.553018 |
| colon exam | 0.343338 |
| life | 0.340257 |
| regular cigarettes | 0.608766 |
| heart disease | 0.354759 |
| smoking | 0.945309 |
| free help | 0.361424 |
| early symptoms | 0.344368 |
| central vision | 0.353924 |
| tobacco product | 0.339806 |
| long list | 0.367334 |
| colon cancer | 0.45291 |
| rectal cancer | 0.488213 |
| personal struggles | 0.353495 |
| people | 0.372567 |
| smokeless tobacco | 0.339306 |
| greatest threats | 0.343839 |
| vision loss | 0.647044 |
| cancer | 0.622943 |
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Centers for Disease Control and Prevention |
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Assessment of Epidemiology Capacity in State HealthDepartments - United States, 2013 |
James L. Hadler, MD1, Rebecca Lampkins, MPH2, Jennifer Lemmings, MPH2, Meredith Lichtenstein, MPH2, Monica Huang, MPH2, Jeffrey Engel, MD2 (Author affiliations at end of text). |
| adequate epidemiology capacity | 0.424673 |
| mental health | 0.395208 |
| CSTE epidemiology capacity | 0.440023 |
| occupational health | 0.37903 |
| public health problems | 0.356607 |
| substantial capacity | 0.334047 |
| state health departments | 0.430865 |
| public health surveillance | 0.345361 |
| national capacity | 0.321009 |
| measured epidemiology capacity | 0.41006 |
| public health services | 0.45619 |
| program-specific epidemiology capacity | 0.488286 |
| mental health epidemiology | 0.377011 |
| health epidemiology capacity | 0.514928 |
| epidemiology capacity | 0.947747 |
| oral health | 0.415384 |
| health problems | 0.4561 |
| part-time epidemiology work | 0.322335 |
| minimal capacity | 0.334255 |
| Territorial Epidemiologists | 0.329125 |
| current core epidemiology | 0.327221 |
| key technology capacity | 0.34998 |
| public health epidemiology | 0.372621 |
| abuse epidemiology capacity | 0.433248 |
| state epidemiologists | 0.339539 |
|
| ideal capacity | 0.324066 |
| minimal-to-no capacity | 0.33044 |
| essential public health | 0.594434 |
| surveillance capacity | 0.37724 |
| public health services* | 0.339346 |
| substantial-to-full epidemiology capacity | 0.45322 |
| epidemiologists | 0.42109 |
| state-level epidemiology capacity | 0.40696 |
| substantial-to-full capacity | 0.397231 |
| state health department | 0.335457 |
| substance abuse | 0.413931 |
| public health | 0.773042 |
| James L. Hadler | 0.32648 |
| partial capacity | 0.333853 |
| public health service.§ | 0.324636 |
| new insights | 0.331582 |
| community health problems | 0.362977 |
| comprehensive epidemiology services | 0.321741 |
| local public health | 0.316431 |
| program areas | 0.428572 |
| workforce capacity | 0.351732 |
| technology capacity | 0.387232 |
| population-based health services | 0.368712 |
| innovative solutions | 0.33909 |
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HPV | For Parents | Human Papillomavirus |
null |
| National Center | 0.743875 |
| Chronic Disease Prevention | 0.563597 |
| Immunization | 0.277375 |
| list Skip | 0.714059 |
| TB Prevention | 0.386425 |
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| Health Promotion | 0.351095 |
| page options Skip | 0.92913 |
| Respiratory Diseases | 0.595257 |
| Viral Hepatitis | 0.418075 |
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