| 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 |
|
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| 5569 |
Centers for Disease Control and Prevention |
Html |
en |
2,4,6-Trinitrotoluene - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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 |
|
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| 8102 |
Centers for Disease Control and Prevention |
Html |
en |
Notifiable Diseases and Mortality Tables - February 22, 2013 |
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. |
| H. influenzae | 0.385129 |
| National Center | 0.301583 |
| cases | 0.436533 |
| CDC | 0.294622 |
| novel influenza | 0.643924 |
| Total case counts | 0.467161 |
| pandemic influenza | 0.951943 |
| measles cases | 0.342141 |
| ** Data | 0.347558 |
|
| Cumulative total E. | 0.475127 |
| Influenza Division | 0.442359 |
| 2009 pandemic | 0.765397 |
| probable cases | 0.328045 |
| Respiratory Diseases | 0.308075 |
| rubella cases | 0.31017 |
| human infection | 0.329997 |
| influenza A virus | 0.477823 |
|
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 |
|
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| 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 |
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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 |
| 15409 |
Centers for Disease Control and Prevention |
Html |
en |
Sociodemographic and Psychological Characteristics of VeryLight Smoking Among Women in Emerging Adulthood, National Survey ofDrug Use and Health, 2011 |
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. |
| smoking cessation interventions | 0.484041 |
| sociodemographic factors | 0.472806 |
| smoking status groups | 0.492025 |
| light smoking | 0.669334 |
| light smokers | 0.969483 |
| Current cigarette smoking | 0.493483 |
| higher smoking risks | 0.500367 |
| psychological distress | 0.60723 |
| rigid smoking patterns | 0.487924 |
| college education | 0.470736 |
| current smokers | 0.686931 |
| smoking status | 0.521995 |
| heavy smokers | 0.549353 |
| low-rate daily smoking | 0.482099 |
| nondaily smokers | 0.617601 |
| smoking levels | 0.488328 |
| continuous smoking | 0.483717 |
| college student smokers | 0.563856 |
| intermittent smoking | 0.502555 |
| smoking behavior | 0.512381 |
| Cigarette smoking patterns | 0.487811 |
| Nicotine Tob Res | 0.591362 |
| heavier smokers | 0.781277 |
| smoking status question | 0.49243 |
|
| social smoking | 0.472121 |
| smoking prevalence | 0.487674 |
| United States | 0.491072 |
| cigarette smoking | 0.531361 |
| smoking onset | 0.477349 |
| smoking | 0.808643 |
| substance misuse | 0.469846 |
| intermittent smokers | 0.531377 |
| women smokers | 0.565205 |
| non-Hispanic white smokers | 0.531786 |
| nicotine dependence | 0.546319 |
| smoking initiation | 0.522432 |
| daily smoking | 0.545009 |
| psychological adjustment | 0.477466 |
| daily smokers | 0.572427 |
| health | 0.490155 |
| young women smokers | 0.548519 |
| multinomial logistic regression | 0.476919 |
| African-American smokers | 0.517967 |
| current smoking status | 0.488854 |
| reference group | 0.508773 |
| total scores | 0.504013 |
| smoking patterns | 0.48859 |
| smoking drive | 0.492682 |
|
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 |