| 4750 |
Centers for Disease Control and Prevention |
Html |
en |
FluView: Flu Activity & Surveillance |
Influenza surveillance reports and methods in the United States - CDC |
| Influenza surveillance data | 0.915176 |
| Internet user | 0.46843 |
| CDC | 0.314603 |
| systems | 0.239803 |
|
| series | 0.242376 |
| influenza information | 0.641788 |
| dynamic visualizations | 0.573337 |
|
CLICK HERE |
| 4968 |
Centers for Disease Control and Prevention |
Html |
en |
The quality of school wellness policies and energy-balance behaviors of adolescent mothers |
null |
| lowest policy rating | 0.272975 |
| strength | 0.358162 |
| BMI z scores | 0.287786 |
| policy language tertiles | 0.285641 |
| school wellness policies | 0.94229 |
| postpartum adolescents | 0.350482 |
| 96-item School Wellness | 0.31486 |
| School Lunch Program | 0.320943 |
| policy initiatives | 0.272844 |
| weak school wellness | 0.305478 |
| strength scores | 0.334116 |
| wellness policy comprehensiveness | 0.46299 |
| district policy score | 0.27938 |
| school districts | 0.441739 |
| wellness policy quality | 0.316018 |
| school policies | 0.286069 |
| PAT Teen Parent | 0.277885 |
| Wellness report cards | 0.27398 |
| body mass index | 0.300294 |
| policy comprehensiveness scores | 0.353219 |
| Wellness Policy Coding | 0.388286 |
| policy score tertile | 0.299852 |
| wellness policy strength | 0.353507 |
| energy-balance behaviors | 0.503847 |
| school district wellness | 0.331419 |
|
| National School Lunch | 0.321158 |
| strength section scores | 0.279619 |
| healthy school environment | 0.317073 |
| school environmental changes | 0.27294 |
| high-risk postpartum adolescents | 0.275799 |
| policy language scores | 0.296436 |
| energy balance | 0.281264 |
| quality school wellness | 0.315746 |
| policy coding tool | 0.438743 |
| policy language quality | 0.294668 |
| fewer daily calories | 0.295488 |
| policy item | 0.290248 |
| weight loss study | 0.305963 |
| St. Louis | 0.300941 |
| policy quality | 0.334577 |
| BMI z score | 0.279438 |
| postpartum weight retention | 0.291691 |
| wellness policy language | 0.412771 |
| school wellness | 0.950741 |
| school wellness policy | 0.783919 |
| physical activity | 0.348219 |
| adolescent mothers | 0.496392 |
| lowest policy | 0.276734 |
| highest policy rating | 0.272957 |
|
CLICK HERE |
| 6657 |
Centers for Disease Control and Prevention |
Html |
en |
Research - TickNET |
This site aims to make it easier for TickNET collaborators to publish and share information, providing TickNET members a central repository where ideas, information, meeting information (times, dates, and minutes), and data can be shared; it will provide those interested in tickborne diseases and research with the latest studies and findings, and it will provide time-strapped public health officials a place where they can find solutions to common problems that they encounter. |
| major commercial testing | 0.395309 |
| Neitzel D. Validation | 0.397051 |
| Pet ownership increases | 0.400947 |
| Connally NP | 0.543719 |
| additional households | 0.36593 |
| large commercial laboratories | 0.479014 |
| Meek JI | 0.549606 |
| non-Lyme tickborne diseases | 0.475684 |
| 16s metagenomics | 0.367963 |
| Bait Box Intervention | 0.411112 |
| current testing methods | 0.395217 |
| Lyme disease patients | 0.509989 |
| Lyme disease-endemic areas | 0.473704 |
| 2011-12 Lyme | 0.434807 |
| MN Department | 0.370585 |
| Clin Infect Dis. | 0.398071 |
| 3-year period | 0.364664 |
| Jones EH | 0.363502 |
| new york state | 0.482545 |
| Infect Dis. | 0.407338 |
| individual level costs | 0.410252 |
| Vanderbilt University | 0.36172 |
| Feldman KA | 0.687063 |
| specific tickborne bacteria | 0.505689 |
| Hinckley AF | 0.69027 |
|
| Zoonoses Public Health. | 0.931153 |
| Tickborne Diseases Prevention | 0.499306 |
| study | 0.373896 |
| United States | 0.440661 |
| AMD methods | 0.364236 |
| Advanced Molecular Detection | 0.415453 |
| Lyme disease surveillance | 0.747403 |
| Lyme Disease Testing | 0.476455 |
| Pilot study | 0.367581 |
| Kemperman MM | 0.45941 |
| lyme disease | 0.818815 |
| epub | 0.409017 |
| tickborne diseases | 0.771152 |
| total societal | 0.36131 |
| disease detection | 0.373052 |
| descriptive study | 0.36944 |
| tickborne illness | 0.453011 |
| rodent-targeted bait boxes | 0.412964 |
| print | 0.361921 |
| placebo-controlled trial | 0.416405 |
| White JL | 0.514704 |
| Backenson PB | 0.46904 |
| Mead PS | 0.462048 |
| common tickborne diseases | 0.47283 |
|
CLICK HERE |
| 10048 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Global Health - Facts about Measles & Rubella |
null |
| different virus families | 0.587684 |
| contagious respiratory disease | 0.62174 |
| effective approach | 0.495997 |
| CDC | 0.438816 |
| endorsement | 0.420778 |
| public health interventions | 0.574318 |
| rubella | 0.835515 |
| heart defects | 0.507396 |
| unvaccinated woman | 0.503433 |
| MMR | 0.423928 |
| contagious diseases | 0.506784 |
| young adults | 0.506068 |
| single confirmed case | 0.571799 |
| congenital rubella syndrome | 0.78611 |
| combined measles-rubella | 0.49666 |
| global health security | 0.57417 |
| mumps | 0.419891 |
| fetal deaths | 0.506599 |
| Americas | 0.440942 |
| viral infection | 0.504548 |
| doses | 0.419951 |
| CRS | 0.522177 |
| vaccine-preventable disease | 0.500762 |
| vaccines | 0.436402 |
| unvaccinated children | 0.504869 |
|
| HHS | 0.422291 |
| world | 0.455052 |
| miscarriages | 0.426834 |
| pneumonia | 0.421489 |
| measles viruses | 0.721031 |
| measles vaccine | 0.702829 |
| domestic measles | 0.839878 |
| deadly disease | 0.495593 |
| health complications | 0.506926 |
| domestic measles virus | 0.809625 |
| positive impact | 0.494767 |
| German measles | 0.718953 |
| South-East Asia | 0.503537 |
| Western Hemisphere | 0.514782 |
| varicella | 0.422938 |
| Rubella Initiative | 0.673573 |
| lead scientific partner | 0.574649 |
| domestic rubella | 0.688432 |
| non-federal site | 0.500457 |
| field stories | 0.496243 |
| encephalitis | 0.423061 |
| chickenpox | 0.420551 |
| devastating birth defects | 0.597351 |
| measles | 0.972099 |
|
CLICK HERE |
| 10856 |
Centers for Disease Control and Prevention |
Html |
en |
Resources for TV Writers and Producers |
Gateway to Health Communication and Social Marketing Practice - Secondhand Smoke |
| Breathing secondhand | 0.345757 |
| smoke-free environments includingrestaurants | 0.298438 |
| nonsmoking adults | 0.265883 |
| burning cigarette | 0.259234 |
| immediate harmful effects | 0.300418 |
| lung cancer | 0.473893 |
| workplaces | 0.237283 |
| little girl | 0.248662 |
| white haze | 0.250722 |
| homes | 0.229048 |
| drip | 0.210379 |
| tip | 0.209901 |
| secondhand smoke | 0.972431 |
| particles | 0.210557 |
| chemicals | 0.211282 |
| gases | 0.21013 |
| non-smokers | 0.211355 |
| risk-free level | 0.319276 |
| doctors | 0.216357 |
| No-Smoking signs | 0.252863 |
| hospital room | 0.250205 |
| brief exposures | 0.260243 |
| heart attacks | 0.252798 |
| adult nonsmokers | 0.260049 |
|
| diner | 0.251932 |
| air conditioning | 0.249667 |
| United States | 0.254864 |
| vehicles | 0.220118 |
| percent | 0.220902 |
| public places | 0.306154 |
| heart disease | 0.350622 |
| separate area | 0.251609 |
| 40-year old daughter | 0.304832 |
| complex mixture | 0.260286 |
| heart disease deaths | 0.296926 |
| beloved daughter | 0.257124 |
| nonsmoking Americans | 0.258371 |
| business | 0.216869 |
| secondhand smoke exposure | 0.852815 |
| People | 0.209725 |
| predominant locations | 0.256123 |
| environmental tobacco smoke | 0.432731 |
| Jane | 0.253428 |
| heart disease risk | 0.29672 |
| home | 0.209982 |
| lung cancer deaths | 0.308893 |
| lung cancer risk | 0.308622 |
| veins | 0.210031 |
|
CLICK HERE |
| 12527 |
Centers for Disease Control and Prevention |
Video |
en |
Every Life is Vital in the National Vital Statistics System (Part 2 of 2) |
An introduction and brief history of the National Center for Health Statistics’ (NCHS) National Vital Statistics System (NVSS).
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/nchs/videos/nvss-2014-part2.srt |
|
| National Vital Statistics | 0.984095 |
|
CLICK HERE |
| 12936 |
Centers for Disease Control and Prevention |
Video |
en |
Concussion Videos - Get a Head's Up on Helmets: Helmet Fit |
null |
|
|
CLICK HERE |
| 13592 |
Centers for Disease Control and Prevention |
Html |
en |
Is Your Neighborhood Designed to Support Physical Activity? A Brief Streetscape Audit Tool |
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. |
| self-reported physical activity | 0.474191 |
| Microscale Audit | 0.483449 |
| activity supportive microscale | 0.493216 |
| San Diego | 0.469775 |
| children | 0.495141 |
| active transportation | 0.539814 |
| MAPS-Mini | 0.51901 |
| microscale environment scores | 0.487023 |
| M. Physical activity | 0.47279 |
| CHAMPS physical activity | 0.47274 |
| Phys Act Health | 0.503709 |
| vigorous physical activity | 0.48147 |
| physical activity supportiveness | 0.497798 |
| Sci Sports Exerc | 0.522882 |
| global physical activity | 0.49785 |
| neighborhood physical activity | 0.565867 |
| microscale environmental features | 0.467238 |
| age groups | 0.68653 |
| Sallis JF | 0.547039 |
| group activity scores | 0.478919 |
| Conway TL | 0.476645 |
| total score | 0.534086 |
| Frank LD | 0.501146 |
| items | 0.484486 |
|
| multiple physical activity | 0.476465 |
| microscale attributes | 0.482883 |
| younger adults | 0.476464 |
| MAPS-Mini scores | 0.514164 |
| Physical Activity conference | 0.470029 |
| MAPS-Mini total scores | 0.509422 |
| physical activity questionnaire | 0.495668 |
| objective physical activity | 0.528912 |
| total physical activity | 0.493621 |
| quintile total scores | 0.470918 |
| leisure physical activity | 0.597537 |
| Med Sci Sports | 0.522563 |
| supportive microscale attributes | 0.473183 |
| macrolevel walkability | 0.468035 |
| 120-item Microscale Audit | 0.467239 |
| youth physical activity | 0.474375 |
| overall physical activity | 0.472665 |
| age group activity | 0.478131 |
| active transport | 0.605286 |
| street lights | 0.471861 |
| physical activity | 0.951863 |
| total scores | 0.522677 |
| older adults | 0.730242 |
| et al | 0.539073 |
|
CLICK HERE |
| 15716 |
Centers for Disease Control and Prevention |
Html |
en |
Environmental Scanning as a Public Health Tool: Kentucky'sHuman Papillomavirus Vaccination Project |
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. |
| environmental scans | 0.370476 |
| scan’s components | 0.284228 |
| public health issues | 0.278726 |
| Kentucky Markey Cancer | 0.321235 |
| environmental scan activities | 0.340023 |
| vaccination media scan | 0.339562 |
| environmental scan process | 0.400125 |
| public health effectiveness | 0.281321 |
| public health practitioners | 0.276 |
| research priorities | 0.289382 |
| stakeholders | 0.287916 |
| papillomavirus vaccination project | 0.306758 |
| Kentucky HPV vaccination | 0.329354 |
| HPV vaccination research | 0.331396 |
| quality improvement | 0.295621 |
| National Cancer Institute | 0.303382 |
| Kentucky HPV Initiatives | 0.293092 |
| vaccination project team | 0.292982 |
| environmental scan experience | 0.337523 |
| public health | 0.689642 |
| environmental scan plan | 0.330998 |
| Kentucky’s HPV | 0.28208 |
| HPV vaccination trends | 0.322416 |
| key informant interviews | 0.287187 |
|
| public health areas | 0.280155 |
| environmental scan | 0.964411 |
| vaccination environmental scan | 0.403814 |
| public health activities | 0.30288 |
| HPV vaccination data | 0.324671 |
| public health evaluation | 0.285347 |
| environmental scan team | 0.329129 |
| HPV vaccination uptake | 0.392308 |
| human papillomavirus vaccination | 0.330007 |
| HPV vaccination initiatives | 0.322785 |
| Kentucky Cancer Consortium | 0.280151 |
| Markey Cancer Center | 0.315293 |
| cancer centers | 0.27863 |
| HPV vaccination activities | 0.354261 |
| strategic planning | 0.286089 |
| public health practice | 0.409904 |
| environmental scan results | 0.33426 |
| scan’s design | 0.286639 |
| environmental scanning | 0.287717 |
| environmental scan steps | 0.323071 |
| environmental scanning process | 0.286078 |
| HPV environmental scan | 0.383517 |
| state mental health | 0.28504 |
|
CLICK HERE |
| 16312 |
Centers for Disease Control and Prevention |
Html |
en |
FastStats - Allergies and Hay Fever |
null |
| Summary Health Statistics | 0.594151 |
| Number | 0.248701 |
| Percent | 0.354121 |
| Health Statistics Tables | 0.593752 |
| diagnosed hay fever | 0.766573 |
|
| skin allergies | 0.340897 |
| Health Interview Survey | 0.590558 |
| National Health Interview | 0.590958 |
| food allergies | 0.382607 |
| hay fever | 0.903538 |
|
CLICK HERE |