| 543 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Community Size as a Factor in Health Partnerships in Community Parks and Recreation, 2007 - CDC |
Although partnerships between park and recreation agencies and health agencies are prevalent, little research has examined partnership characteristics and effectiveness among communities of different sizes. The objective of this study was to determine whether park and recreation leaders’ perceptions of partnership characteristics, effectiveness, and outcomes vary by community size. |
| partnership effectiveness items | 0.390861 |
| public health issues | 0.380894 |
| recreation agencies | 0.557441 |
| significantly fewer partnerships | 0.42517 |
| agencies given health | 0.395214 |
| partnership decision making | 0.416019 |
| mission statement | 0.408318 |
| nonprofit health promotion | 0.514421 |
| senior services | 0.41266 |
| 5-point Likert-type scale | 0.428157 |
| effective partnerships | 0.426177 |
| small rural communities | 0.430238 |
| rural areas | 0.389848 |
| large communities | 0.605919 |
| Laura L. Payne | 0.393695 |
| partnership practices | 0.419199 |
| health insurance companies | 0.415123 |
| health promotion agencies | 0.517489 |
| health partnership decision | 0.437996 |
| additional resources | 0.424013 |
| medium communities | 0.491153 |
| formal partnerships | 0.398878 |
| decision making | 0.45613 |
| community parks | 0.394661 |
| public health agencies | 0.468343 |
|
| partnership outcomes | 0.396651 |
| community health concerns | 0.392722 |
| partnership characteristics | 0.403597 |
| interagency health partnerships | 0.451337 |
| inclusive decision making | 0.381643 |
| partnerships | 0.773001 |
| different health/wellness partnerships | 0.419588 |
| larger communities | 0.393161 |
| Interorganizational partnerships | 0.401711 |
| agency partnership practices | 0.383553 |
| public health | 0.49754 |
| park | 0.421456 |
| National Recreation | 0.38666 |
| Pennsylvania State University | 0.389397 |
| size shapes partnership | 0.396303 |
| transportation agencies | 0.385369 |
| community size | 0.922679 |
| partnership effectiveness | 0.444263 |
| community park | 0.38596 |
| Geoffrey C. Godbey | 0.397304 |
| organizations | 0.400541 |
| small communities | 0.530692 |
| health partnerships | 0.738089 |
| smaller communities | 0.408423 |
|
CLICK HERE |
| 1180 |
Centers for Disease Control and Prevention |
Html |
en |
Smokeless Tobacco Use Among Working Adults - United States,2005 and 2010 |
Jacek M. Mazurek, MD1, Girija Syamlal, MPH1, Brian A. King, PhD2, Robert M. |
| increased tobacco prices | 0.495625 |
| employer-sponsored health insurance | 0.44036 |
| U.S. civilian population | 0.438951 |
| tobacco-free workplace policies | 0.439206 |
| complex sample design | 0.438745 |
| National Health Interview | 0.449849 |
| randomly selected adult | 0.439784 |
| high school education | 0.508599 |
| combustible tobacco | 0.48126 |
| reliable estimates | 0.45882 |
| self-reported smokeless tobacco | 0.554815 |
| tobacco control programs | 0.541239 |
| current cigarette smokers | 0.47548 |
| Current smokeless tobacco | 0.609662 |
| tobacco use prevalence | 0.503026 |
| groups.§ Current cigarette | 0.450395 |
| dissolvable tobacco | 0.482941 |
| current cigarette smoking | 0.514929 |
| comprehensive tobacco control | 0.510863 |
| comprehensive state tobacco | 0.496445 |
| smokeless tobacco marketing | 0.558298 |
| certain smokeless tobacco | 0.549762 |
| Jacek M. Mazurek | 0.480865 |
| survey response rates | 0.439263 |
| smokeless tobacco promotes | 0.556378 |
|
| cigarette smoking status | 0.449323 |
| Tobacco industry | 0.484394 |
| workplace-based tobacco cessation | 0.50106 |
| adults | 0.453218 |
| smokeless tobacco users | 0.589688 |
| novel smokeless tobacco | 0.55855 |
| industry groups | 0.440295 |
| dual users | 0.455114 |
| cigarette smoking cessation | 0.453842 |
| cigarette smoking | 0.542961 |
| occupation groups | 0.441674 |
| Respiratory Disease Studies | 0.461788 |
| non-Hispanic whites | 0.463497 |
| Brian A. King | 0.443799 |
| tobacco use information | 0.479919 |
| response rates | 0.440691 |
| cigarette smoking prevalence | 0.495491 |
| cigarette smokers | 0.483498 |
| smokeless tobacco products | 0.588935 |
| Chronic Disease Prevention | 0.461193 |
| smokeless tobacco | 0.938669 |
| employee health insurance | 0.445248 |
| statistically significant change | 0.441801 |
| effective employer interventions | 0.439926 |
|
CLICK HERE |
| 6404 |
Centers for Disease Control and Prevention |
Html |
en |
National Diabetes Month - November 2011 |
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. |
| mmwrq@cdc.gov. | 0.556902 |
| CDC | 0.623044 |
| Human Services | 0.756231 |
| control programs | 0.546142 |
| assistive technology | 0.558813 |
| Fowler SE | 0.531766 |
| type | 0.537739 |
| Engl J Med | 0.54924 |
| MMWR HTML versions | 0.640434 |
| U.S. Department | 0.622474 |
| Native Diabetes Wellness | 0.903234 |
| private partners | 0.54255 |
| National Diabetes Prevention | 0.925594 |
| fact sheet | 0.5366 |
| electronic PDF version | 0.629816 |
| Contact GPO | 0.553548 |
| National Diabetes | 0.931955 |
| weight loss | 0.543826 |
| yearly influenza vaccine | 0.646165 |
| commercial sources | 0.531632 |
| cooperative agreements | 0.536754 |
| current prices | 0.528638 |
| national estimates | 0.542594 |
| diabetes control | 0.791157 |
|
| original paper copy | 0.635366 |
| Knowler WC | 0.556918 |
| new cases | 0.542193 |
| general information | 0.539698 |
| United States | 0.676321 |
| U.S. Government Printing | 0.641992 |
| original MMWR paper | 0.636375 |
| kidney failure | 0.537489 |
| nontraumatic lower-limb amputations | 0.679132 |
| MMWR readers | 0.537339 |
| character translation | 0.525945 |
| territorial diabetes prevention | 0.924304 |
| Alaska Native communities | 0.656711 |
| CDC. National | 0.544263 |
| format errors | 0.525489 |
| subject line | 0.555907 |
| evidence-based lifestyle interventions | 0.652921 |
| typeset documents | 0.531994 |
| trade names | 0.531718 |
| official text | 0.524584 |
| physical activity | 0.676766 |
| non-CDC sites | 0.530403 |
| traditional local foods | 0.65641 |
| et al | 0.528805 |
|
CLICK HERE |
| 6541 |
Centers for Disease Control and Prevention |
Html |
en |
Working to Protect Against the Dangers of Dengue |
CDC Works For You 24/7 Protecting People - Working to Protect Against the Dangers of Dengue - Dengue, a painful and sometimes deadly viral disease transmitted by mosquitoes, threatens more than 3.5 billion people worldwide. Dengue is endemic in at least 100 countries in Southeast Asia, the Pacific Islands, the Caribbean, Central America, South America, and parts of Africa. As many as 100 million people become infected yearly, and nearly 500,000, mostly children, develop the potentially deadly dengue hemorrhagic fever. |
| South America | 0.575962 |
| Central America | 0.576208 |
| Puerto Rico | 0.571512 |
| increasingly critical threat | 0.731864 |
| Large numbers | 0.558335 |
| United States | 0.675047 |
| changes | 0.430314 |
| example | 0.429296 |
| Republic | 0.428966 |
| Southeast Asia | 0.584383 |
| Marshall Islands | 0.556528 |
| children | 0.431797 |
| potentially deadly dengue | 0.962387 |
| public health worldwide | 0.711949 |
| locally acquired dengue | 0.900054 |
| possibility | 0.433328 |
| new problem | 0.575984 |
| mosquitoes | 0.504308 |
|
| cases | 0.45354 |
| hemorrhagic fever | 0.596344 |
| Pacific Islands | 0.5767 |
| epidemic | 0.436659 |
| Africa | 0.432416 |
| urban areas | 0.564329 |
| countries | 0.432734 |
| deadly viral disease | 0.784938 |
| Florida | 0.429194 |
| people | 0.467859 |
| travelers | 0.432084 |
| vectors | 0.438516 |
| epidemics | 0.506723 |
| dengue-endemic areas | 0.557858 |
| parts | 0.462175 |
| dengue viruses | 0.750256 |
| Caribbean | 0.430544 |
|
CLICK HERE |
| 8916 |
Centers for Disease Control and Prevention |
Html |
en |
Vaccine Information Statement: Chickenpox - Vaccines - CDC |
Chickenpox Vaccine Information Statement |
| Compensation Program | 0.351848 |
| blood products | 0.355103 |
| individual vaccines | 0.366195 |
| Page | 0.392412 |
| National Vaccine Injury | 0.499549 |
| severe skin infection | 0.431303 |
| nearest hospital | 0.352116 |
| severe allergic reaction | 0.570558 |
| Mild rash | 0.373353 |
| fast heartbeat | 0.352919 |
| chickenpox vaccine | 0.983305 |
| chickenpox vaccination | 0.53644 |
| chickenpox blisters | 0.582459 |
| severe brain reactions | 0.410445 |
| Vaccine Adverse Event | 0.491699 |
| Mild problems | 0.362256 |
| brain damage | 0.360477 |
| behavior changes | 0.352611 |
| varicella vaccines | 0.363893 |
| VAERS website | 0.360718 |
| life-threatening allergic reaction | 0.420235 |
| dose | 0.408991 |
| Pregnant women | 0.354224 |
| common childhood disease | 0.414837 |
|
| person | 0.408155 |
| previous dose | 0.37756 |
| difficulty breathing | 0.350449 |
| higher rates | 0.351705 |
| United States | 0.411585 |
| painful rash | 0.380294 |
| fever | 0.37824 |
| Severe problems | 0.370676 |
| medical advice | 0.353925 |
| fewer blisters | 0.364021 |
| MMRV vaccine | 0.453417 |
| state health department | 0.396284 |
| Current Edition Date | 0.419214 |
| young infants | 0.36599 |
| chickenpox virus | 0.578975 |
| MMR vaccines | 0.370204 |
| severe allergic reactions | 0.426292 |
| people | 0.447389 |
| certain vaccines | 0.359437 |
| doctor | 0.371462 |
| federal program | 0.351805 |
| chickenpox disease | 0.541772 |
| antibiotic neomycin | 0.360483 |
| Moderate problems | 0.357296 |
|
CLICK HERE |
| 9010 |
Centers for Disease Control and Prevention |
Video |
en |
Director's Briefing: Talk to Your Doc About Quitting Smoking |
In this Director's Briefing video, CDC Director Dr. Tom Frieden talks about how two-thirds of tobacco users want to quit, but fewer than one in ten succeed each year; however, advice from doctors can double or triple the odds that someone will quit for good. Doctors, pharmacists, physician assistants, nurses, and all healthcare providers need to play a critical role in helping tobacco users quit. For more information on CDC's Tips from Former Smokers campaign 2013, visit www.cdc.gov/tips.
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://streaming.cdc.gov/vod.php?id=a3fd6e7afbd3dd72d2f27a4011198d4220130514133811240 |
| Director | 0.345555 |
| Talk | 0.343898 |
|
| Doc About Quitting | 0.966112 |
| YouTube | 0.63058 |
|
CLICK HERE |
| 10130 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Global Health Security - Prevent |
null |
| endorsement | 0.282622 |
| CDC | 0.261195 |
| institutional factors | 0.552576 |
| supply chains | 0.540718 |
| Promote safe practices | 0.767667 |
| minimal number | 0.510735 |
| responsible conduct | 0.498205 |
| infection control | 0.494301 |
| effort | 0.25287 |
| epidemic-prone diseases | 0.481205 |
| research | 0.250211 |
| Content source | 0.508551 |
| HHS | 0.289022 |
| ways | 0.250539 |
| Notice | 0.25823 |
| novel zoonotic diseases | 0.881873 |
| antimicrobial resistance | 0.591719 |
| dangerous microbes | 0.569856 |
| early detection | 0.526106 |
| animals | 0.307619 |
| surveillance | 0.255805 |
|
| drug-resistant microorganisms | 0.608341 |
| disease threats | 0.563113 |
| settings | 0.256009 |
| development | 0.250599 |
| emergence | 0.278559 |
| strategies | 0.251283 |
| livestock production | 0.518466 |
| diagnosis | 0.250271 |
| biosurveillance | 0.250122 |
| countries | 0.250479 |
| food safety | 0.509984 |
| biological materials | 0.505122 |
| marketing | 0.252275 |
| non-federal site | 0.535025 |
| zoonotic diseases | 0.951589 |
| safely monitoring | 0.515269 |
| effective programs | 0.48883 |
| facilities | 0.249061 |
| employees | 0.248225 |
| antibiotics | 0.275006 |
| humans | 0.262839 |
|
CLICK HERE |
| 10959 |
Centers for Disease Control and Prevention |
Html |
en |
Decoding MERS Coronavirus: AMD provides quick answers |
To decode the 2014 Middle East Respiratory Syndrome (MERS-CoV), CDC used advanced molecular detection (AMD) methods. |
| CDC | 0.784477 |
| new sequence information | 0.565427 |
| traveler | 0.234564 |
| nation | 0.232614 |
| rapid pace | 0.379031 |
| Respiratory Syndrome Coronavirus | 0.600642 |
| public health investigators | 0.812259 |
| funded work | 0.408066 |
| emergent threats | 0.393171 |
| far-reaching effort | 0.428435 |
| number | 0.23306 |
| lower airways | 0.399334 |
| serum specimen | 0.444247 |
| AMD | 0.540147 |
| stronger safeguards | 0.409148 |
| case | 0.269333 |
| infectious disease outbreaks | 0.594276 |
| Indiana State Department | 0.575975 |
| additional sputum | 0.402224 |
| mucus | 0.256356 |
| timeliness | 0.245394 |
| person | 0.255206 |
| East Respiratory Syndrome | 0.954251 |
| positive result | 0.420351 |
| Action | 0.235846 |
|
| United States | 0.596467 |
| AMD methods | 0.477474 |
| Advanced Molecular Detection | 0.562293 |
| scientific community | 0.387478 |
| significant changes | 0.38065 |
| bioinformatics capabilities | 0.424276 |
| parallel work | 0.377288 |
| Saudi Arabia | 0.626885 |
| Major changes | 0.391272 |
| complete virus genome | 0.62684 |
| patient | 0.269213 |
| genetic sequencing methods | 0.648119 |
| Middle East Respiratory | 0.954449 |
| cases | 0.233042 |
| infectious disease outbreak | 0.621648 |
| unknown agents | 0.386162 |
| positive laboratory result | 0.592779 |
| GenBank | 0.242779 |
| AMD funding | 0.527522 |
| significant leap | 0.43059 |
| infectious disease | 0.623945 |
| AMD program | 0.53947 |
| responses | 0.235918 |
| MERS-CoV sequences | 0.382228 |
|
CLICK HERE |
| 12824 |
Centers for Disease Control and Prevention |
Image |
null |
Protect Your Child From Measles (725W x 380H) |
null |
|
|
CLICK HERE |
| 13899 |
Centers for Disease Control and Prevention |
Html |
en |
Final Cumulative Maps & Data for 1999-2014 | West Nile Virus | CDC |
Information on West Nile Virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| North Carolina | 0.87528 |
| Vermont | 0.57611 |
| Puerto Rico | 0.938142 |
| Indiana | 0.583067 |
| Maine | 0.581301 |
| Tennessee | 0.577166 |
| Dist. | 0.586532 |
| Alabama | 0.593276 |
| Arkansas | 0.592172 |
| South Carolina | 0.867726 |
| Utah | 0.576461 |
| Washington | 0.575407 |
| Nebraska | 0.578494 |
| West Virginia | 0.908651 |
| Colorado | 0.591438 |
| Massachusetts | 0.580597 |
| Missouri | 0.579194 |
| Alaska | 0.592908 |
| North Dakota | 0.874321 |
| Arizona | 0.59254 |
| Nevada | 0.578144 |
| Rhode Island | 0.938849 |
| New York | 0.879197 |
|
| Montana | 0.578844 |
| Kentucky | 0.582007 |
| South Dakota | 0.866775 |
| Hawaii | 0.584131 |
| Minnesota | 0.579895 |
| California | 0.591805 |
| Kansas | 0.58236 |
| Delaware | 0.590705 |
| Florida | 0.589955 |
| New Jersey | 0.881132 |
| Michigan | 0.580246 |
| Iowa | 0.582713 |
| Mississippi | 0.579544 |
| Columbia | 0.586514 |
| New Mexico | 0.890167 |
| Illinois | 0.583421 |
| Texas | 0.576814 |
| New Hampshire | 0.892145 |
| Connecticut | 0.591071 |
| Louisiana | 0.581654 |
| Ohio | 0.575656 |
| Georgia | 0.58959 |
| Maryland | 0.580949 |
|
CLICK HERE |