| 6676 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Preventing Chronic Disease: General Information |
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. |
| copyright | 0.345926 |
| PCD. Make | 0.472505 |
| Editorial Policy page | 0.582525 |
| Human Services | 0.45063 |
| written permission | 0.467639 |
| U.S. Department | 0.450791 |
| following information | 0.462203 |
| thorough editorial | 0.447731 |
| proofing stage | 0.56764 |
| Disease Control | 0.448444 |
| Special Topics | 0.471358 |
| manuscript submission | 0.621839 |
| PCD Manuscript Central | 0.890606 |
| proprietary rights | 0.458984 |
| exclusive rights | 0.458714 |
| inquiries | 0.362675 |
| minor changes | 0.448863 |
| affiliated institutions | 0.449983 |
| public domain | 0.607291 |
| Research Briefs | 0.468651 |
| style | 0.349606 |
| production process | 0.451842 |
| Chronic Disease | 0.478904 |
| authors | 0.403064 |
| Original Research | 0.469798 |
|
| derivative works | 0.4643 |
| GIS Snapshots | 0.461391 |
| author hereby grants | 0.463365 |
| substantive changes | 0.459136 |
| United States Government | 0.995274 |
| Community Case Studies | 0.614639 |
| PCD editors | 0.586924 |
| article types | 0.476752 |
| complete descriptions | 0.469835 |
| AMA Manual | 0.446202 |
| PubMed Central | 0.460044 |
| journal | 0.355973 |
| publishing articles | 0.495481 |
| Manuscript Requirements | 0.618055 |
| revised editions | 0.456581 |
| NIH grant | 0.451771 |
| following sections | 0.44922 |
| article length | 0.469294 |
| Word version | 0.448857 |
| material | 0.354263 |
| official publication | 0.48441 |
| Public Health Service | 0.574625 |
| Implementation Evaluation | 0.471992 |
| initial edit | 0.443066 |
|
CLICK HERE |
| 9697 |
Centers for Disease Control and Prevention |
Html |
es |
La historia de Brandon - Historias de la vida real - Consejos de exfumadores |
La historia de Brandon, un ex fumador con la enfermedad de Buerger, es parte de la campaña Consejos de exfumadores de los CDC. |
| Archivo Apple Quicktime | 0.594816 |
| Archivo RealPlayer | 0.505194 |
| Archivo Zip Comprimido | 0.603014 |
| Archivo Microsoft PowerPoint | 0.622857 |
|
| Archivo Adobe PDF | 0.597914 |
| Archivo Microsoft Excel | 0.593466 |
| terrible enfermedad | 0.497982 |
| Archivo Microsoft | 0.995252 |
|
CLICK HERE |
| 10344 |
Centers for Disease Control and Prevention |
Html |
en |
2014 West Virginia Chemical Release'Chemical Emergencies |
Information on chemical emergencies and public health. Provided by the Centers for Disease Control and Prevention (CDC). |
| 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 |
| 10423 |
Centers for Disease Control and Prevention |
Html |
null |
Social Determinants of Health Maps'Maps'DHDSP'CDC |
null |
|
|
CLICK HERE |
| 10871 |
Centers for Disease Control and Prevention |
Html |
en |
World Cup 2014: Travelers to Brazil Urged to Get Flu Vaccine |
World Cup 2014: Travelers to Brazil Urged to Get Flu Vaccine - CDC |
| single best way | 0.412952 |
| seasonal vaccine | 0.369849 |
| H3N2 flu viruses | 0.672028 |
| longer periods | 0.303084 |
| large numbers | 0.333033 |
| supply | 0.220203 |
| H1N1 virus | 0.321397 |
| flu vaccines | 0.687775 |
| pregnant women | 0.31237 |
| children | 0.220068 |
| Brazil | 0.417169 |
| games | 0.221953 |
| close quarters | 0.321141 |
| 2013-14 season | 0.328334 |
| Southern Hemisphere | 0.443645 |
| media reports | 0.320266 |
| chronic medical conditions | 0.401322 |
| flu illness | 0.520374 |
| community | 0.220427 |
| travelers | 0.280108 |
| visitors | 0.222139 |
| World Cup | 0.565459 |
| high risk | 0.421888 |
| American Health Organization | 0.417892 |
| important health tips | 0.391459 |
|
| region | 0.223623 |
| doses | 0.223352 |
| United States | 0.550994 |
| adults | 0.220098 |
| Health page | 0.302803 |
| flu vaccine | 0.801752 |
| globe convening | 0.330782 |
| CDC’s Traveler | 0.310978 |
| different influenza viruses | 0.47577 |
| significant influenza activity | 0.437011 |
| Flu vaccination | 0.635386 |
| heart disease | 0.311813 |
| immunizations | 0.222637 |
| preventive actions | 0.30635 |
| flu viruses | 0.676079 |
| protective antibodies | 0.314292 |
| people | 0.372616 |
| flu | 0.902177 |
| respiratory virus samples | 0.427528 |
| influenza B virus | 0.346424 |
| flu season | 0.622865 |
| location | 0.220463 |
| information | 0.219684 |
| time | 0.240716 |
|
CLICK HERE |
| 11091 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Impact of San Francisco™s Toy Ordinance on Restaurants and Children™s Food Purchases, 2011"2012 - CDC |
In 2011, San Francisco passed the first citywide ordinance to improve the nutritional standards of children’s meals sold at restaurants by preventing the giving away of free toys or other incentives with meals unless nutritional criteria were met. This study examined the impact of the Healthy Food Incentives Ordinance at ordinance-affected restaurants on restaurant response (eg, toy-distribution practices, change in children’s menus), and the energy and nutrient content of all orders and children’s-meal–only orders purchased for children aged 0 through12 years. |
| test purchases | 0.493293 |
| Food Incentives Ordinance | 0.752709 |
| data | 0.467736 |
| positive restaurant changes | 0.465699 |
| public health policies | 0.466062 |
| restaurant response | 0.472074 |
| french fries | 0.517573 |
| children | 0.709144 |
| ordinance nutritional criteria | 0.504426 |
| public health ordinance | 0.496907 |
| healthful meals | 0.470703 |
| ordinance enactment | 0.562826 |
| Santa Clara County | 0.588091 |
| toy ordinance | 0.521445 |
| National Academies Press | 0.466806 |
| Healthy Food Incentives | 0.697256 |
| San Francisco Healthy | 0.50444 |
| significant decrease | 0.495389 |
| food restaurant chains | 0.477568 |
| Ordinance wording | 0.476793 |
| restaurant food environments | 0.493712 |
| restaurants | 0.523154 |
| fast food restaurants | 0.491992 |
| food chain restaurants | 0.482047 |
| free toys | 0.518995 |
|
| meals | 0.586329 |
| study | 0.49383 |
| restaurant chains | 0.55677 |
| fast food | 0.519587 |
| pre-ordinance time point | 0.915693 |
| county-level ordinance | 0.486072 |
| similar ordinance | 0.4769 |
| pre-ordinance time point1 | 0.46937 |
| healthful default | 0.502884 |
| beverage | 0.485527 |
| children’s meal | 0.46806 |
| study time points | 0.477468 |
| public health | 0.529682 |
| ordinance intent | 0.474203 |
| citywide ordinance | 0.49301 |
| menu changes | 0.484017 |
| ordinance prohibits restaurants | 0.517811 |
| Francisco Healthy Food | 0.509932 |
| Significantly fewer children | 0.464798 |
| San Francisco | 0.713428 |
| ordinance criteria | 0.531173 |
| ordinance language | 0.476872 |
| default side dish | 0.540455 |
| time points | 0.619372 |
|
CLICK HERE |
| 14244 |
Centers for Disease Control and Prevention |
Html |
en |
Test Your Produce Safety Savvy | CDC Features |
Do you have the know-how to make good produce safety choices? Take the quiz below to test your knowledge on selecting, storing, and preparing produce. |
| chopping boards | 0.50819 |
| raw sprouts | 0.565518 |
| clean container | 0.496474 |
| Enjoy uncooked fruits | 0.685266 |
| Dry fruit | 0.499979 |
| pregnant women | 0.61874 |
| peel—so dirt | 0.501442 |
| immune systems | 0.615186 |
| young children | 0.60937 |
| outbreak | 0.423928 |
| Maradol papayas | 0.64503 |
| kitchen utensils | 0.506037 |
| foodborne illnesses | 0.531594 |
| Unwashed fresh vegetables | 0.745557 |
| steps | 0.438414 |
| lettuce | 0.422343 |
| clean paper towel | 0.583325 |
| high-calorie foods | 0.511235 |
| food preparation | 0.504629 |
| foodborne illness | 0.73929 |
| fresh fruits | 0.590123 |
| nearly half | 0.507829 |
| United States | 0.509578 |
| advice | 0.423419 |
| important health benefits | 0.61928 |
|
| harmful germs | 0.5461 |
| raw meat | 0.496495 |
| lightly cooked sprouts | 0.675333 |
| vegetables | 0.955411 |
| certain groups | 0.49414 |
| fruits | 0.810116 |
| salads | 0.450735 |
| Listeria | 0.424878 |
| Salmonella infections | 0.537955 |
| heart disease | 0.515871 |
| particular concern | 0.509586 |
| diet | 0.440389 |
| E. coli | 0.626427 |
| food poisoning | 0.938742 |
| Check fruits | 0.592067 |
| greater chance | 0.49988 |
| Safer choices | 0.5112 |
| fresh produce | 0.588179 |
| humid conditions | 0.516104 |
| people | 0.509184 |
| home | 0.422328 |
| raw fruits | 0.603239 |
| older adults | 0.50019 |
| Mexico | 0.442093 |
|
CLICK HERE |
| 14478 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR Zika Reports |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Congenital Zika Virus | 0.494033 |
| Female-to-Male Sexual Transmission | 0.247462 |
| Zika Virus Transmission | 0.446868 |
| Interim Guidelines | 0.261577 |
| Birth Defects | 0.245569 |
| Infection Among U.S. | 0.239843 |
| Zika Virus Infection | 0.78826 |
| Update | 0.253766 |
| Travel-Associated Zika Virus | 0.349254 |
| Virus Through Sexual | 0.29029 |
| New York City | 0.283659 |
| Zika Virus—10 Public | 0.252866 |
| Zika Virus Outbreak | 0.322762 |
| Pregnant Women | 0.313722 |
| Chikungunya Virus Infection | 0.329374 |
| Mosquito-Borne Zika Virus | 0.323709 |
| Possible Zika Virus | 0.493917 |
| Zika Virus | 0.968027 |
| Ongoing Zika Virus | 0.365647 |
| Subsequent Ongoing Transmission | 0.2453 |
| Zika Virus-Associated Neonatal | 0.257349 |
| Zika Virus Spreads | 0.322738 |
| Virus Disease Cases | 0.335883 |
| Continental United States | 0.241651 |
| Virus Disease Acquired | 0.313743 |
|
| Puerto Rico | 0.376714 |
| United States | 0.507019 |
| Local Mosquito-Borne Transmission | 0.271734 |
| Care Providers Caring | 0.337293 |
| Zika Virus Exposure | 0.491065 |
| Zika Virus Disease | 0.51648 |
| Possible Congenital Zika | 0.30506 |
| Health Care Providers | 0.376031 |
| Zika Virus Testing | 0.351054 |
| Prevent Zika Virus | 0.347768 |
| Zika Travel Notices | 0.245575 |
| Zika Virus Importation | 0.328966 |
| Confirmed Zika Virus | 0.320346 |
| Sexual Transmission | 0.322194 |
| Zika Virus Surveillance | 0.326613 |
| Zika Virus–Associated Birth | 0.254607 |
| Interim Guidance | 0.369842 |
| Infection Among Pregnant | 0.244831 |
| Zika Virus RNA | 0.326077 |
| Transfusion-Transmitted Zika Virus | 0.324207 |
| Maternal Zika Virus | 0.348852 |
| U.S. Zika Pregnancy | 0.260032 |
| Asymptomatic Pregnant Women | 0.240763 |
| Virus Disease Outbreak | 0.305494 |
|
CLICK HERE |
| 15361 |
Centers for Disease Control and Prevention |
Html |
en |
Characteristics of Joint Use Agreements in School Districts in the United States: Findings From the School Health Policies and Practices Study, 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. |
| formal juas | 0.599542 |
| School Environment questionnaire | 0.606942 |
| white students | 0.620313 |
| School Health Policies | 0.623948 |
| Larger districts | 0.613693 |
| large school districts | 0.664484 |
| Safe School Environment | 0.609206 |
| joint use agreement | 0.659545 |
| percentage | 0.62043 |
| private entity | 0.574568 |
| school districts | 0.861417 |
| multivariate logistic regression | 0.627571 |
| health care services | 0.790843 |
| local public school | 0.572491 |
| metropolitan status | 0.663269 |
| community | 0.650747 |
| rural districts | 0.656249 |
| reduced-price lunch | 0.687048 |
| schools | 0.575024 |
| urban fringe | 0.625079 |
| community members | 0.604446 |
| Eligible districts | 0.62888 |
| school district characteristics | 0.615677 |
| outdoor recreation facilities | 0.680655 |
| public school districts | 0.701853 |
|
| entire school district | 0.586963 |
| districts | 0.987614 |
| students | 0.72931 |
| library services | 0.610029 |
| after-school care | 0.583854 |
| public school property | 0.600969 |
| adult education | 0.59188 |
| JUA | 0.76663 |
| nationally representative sample | 0.586367 |
| indoor recreation facilities | 0.616471 |
| public school facilities | 0.626337 |
| formal JUA | 0.733996 |
| small districts | 0.614508 |
| fewer students | 0.575132 |
| district characteristics | 0.652019 |
| small school districts | 0.693871 |
| physical activity | 0.6985 |
| central city districts | 0.710889 |
| school facilities | 0.675524 |
| recreation facilities | 0.694989 |
| formal joint | 0.592562 |
| logistic regression models | 0.620697 |
| facilities | 0.71646 |
| large town districts | 0.642565 |
|
CLICK HERE |
| 15397 |
Centers for Disease Control and Prevention |
Html |
en |
Participation in Older Adult Physical Activity Programs andRisk for Falls Requiring Medical Care, Washington State,2005-2011 |
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. |
| medical fall | 0.686093 |
| data | 0.453445 |
| fall prevention | 0.641106 |
| fall-related health care | 0.498352 |
| EF participation | 0.488928 |
| program | 0.656289 |
| Intermittent Silver Sneakers | 0.466575 |
| consistent users | 0.589627 |
| intermittent SS groups | 0.49561 |
| Health Research Institute | 0.593711 |
| group exercise classes | 0.496252 |
| Silver Sneakers | 0.580711 |
| Fall prevention research | 0.471679 |
| driven SS program | 0.471181 |
| EF | 0.714307 |
| reduced risk | 0.484164 |
| medical record data | 0.446378 |
| demographically representative sample | 0.575762 |
| consistent EF users | 0.588449 |
| study period | 0.611318 |
| medical falls | 0.585054 |
| fall risk | 0.545873 |
| available exercise programs | 0.445202 |
| EF program | 0.569058 |
|
| regular physical activity | 0.476967 |
| Silver Sneakers users | 0.449903 |
| intermittent users | 0.776522 |
| participation | 0.561486 |
| risk reduction | 0.469126 |
| medical treatment | 0.502304 |
| Group Health Research | 0.588196 |
| specific fall prevention | 0.465993 |
| retrospective cohort study | 0.495209 |
| fall injury risk | 0.469359 |
| consistent SS users | 0.517444 |
| SS | 0.650932 |
| fall prevention exercise | 0.535419 |
| intermittent EF users | 0.59727 |
| medical care | 0.584594 |
| exercise programs | 0.563699 |
| Medicare EF | 0.452748 |
| physical activity | 0.751218 |
| SS program | 0.512809 |
| medical record | 0.53581 |
| SS programs | 0.516775 |
| older adults | 0.947379 |
| accidental fall injury | 0.446764 |
| risk | 0.572746 |
|
CLICK HERE |