| 4760 |
Centers for Disease Control and Prevention |
Html |
en |
An exploration into the determinants of noncommunicable diseases among rural-to-urban migrants in periurban South Africa. |
null |
| social determinants-based approach | 0.325966 |
| safe outdoor activities | 0.311099 |
| major risk factor | 0.314596 |
| Cape Town | 0.378398 |
| in-depth interviews | 0.364745 |
| Prev Chronic Dis | 0.322091 |
| club members | 0.543741 |
| noncommunicable diseases | 0.807364 |
| disease prevention program | 0.34692 |
| impoverished periurban township | 0.322771 |
| broader social networks | 0.316176 |
| weekly health clubs | 0.34361 |
| healthy food | 0.315375 |
| rural areas | 0.534313 |
| risk factors | 0.438984 |
| Cape Town average | 0.31588 |
| social integration | 0.321315 |
| participatory action | 0.428999 |
| role models | 0.30988 |
| Western Cape | 0.471639 |
| reflection groups | 0.421678 |
| recent rural-to-urban migration | 0.310108 |
| respondents | 0.648455 |
| group discussions | 0.388907 |
| empowers club members | 0.314356 |
|
| community health workers | 0.589958 |
| urban lifestyle | 0.372529 |
| South Africa | 0.461831 |
| substantive participatory action | 0.309403 |
| community members | 0.321964 |
| weight gain | 0.512027 |
| health clubs | 0.596294 |
| limited outdoor space | 0.319153 |
| Khayelitsha noncommunicable disease | 0.357557 |
| quantitative study | 0.327847 |
| health services | 0.325037 |
| Lungiswa Tsolekile | 0.323625 |
| noncommunicable disease prevention | 0.910895 |
| focus group discussions | 0.32848 |
| urban Cape Town | 0.340546 |
| qualitative study | 0.437187 |
| public information events | 0.31459 |
| people | 0.482785 |
| food | 0.339309 |
| impoverished rural communities | 0.308035 |
| physical activity | 0.592285 |
| physical activity declines | 0.327591 |
| higher living standards | 0.309609 |
| high blood pressure | 0.315426 |
|
CLICK HERE |
| 6756 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - South Africa - CDC's HIV Prevention Programs: Most At-Risk Populations |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
|
| key risk populations | 0.36954 |
| sexually transmitted infection | 0.213284 |
| specific HIV prevention | 0.307526 |
| coverage gaps | 0.22724 |
| potentially weak family | 0.226363 |
| most-at-risk key populations | 0.415845 |
| HIV epidemic | 0.249263 |
| HIV prevention | 0.340058 |
| HIV prevalence rates | 0.286239 |
| relatively new focus | 0.220241 |
| key populations research | 0.357077 |
| key populations | 0.938221 |
| Future prevention efforts | 0.230195 |
| comprehensive prevention services | 0.241015 |
| social support systems | 0.227535 |
|
| at-risk key populations | 0.39332 |
| HIV transmission | 0.287685 |
| Human Sciences Research | 0.23939 |
| national HIV-prevention campaigns | 0.226364 |
| Global AIDS Program | 0.228057 |
| At-risk populations | 0.349247 |
| average HIV prevalence | 0.309263 |
| key CDC South | 0.283398 |
| HIV prevention strategies | 0.28697 |
| high-risk populations | 0.287999 |
| South African AIDS | 0.244448 |
| respondent-driven sampling methodology | 0.210441 |
| South African National | 0.23308 |
| CDC South Africa | 0.806512 |
|
CLICK HERE |
| 6993 |
Centers for Disease Control and Prevention |
Html |
en |
Drowning - United States, 2005-2009 |
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. |
| death certificate data | 0.477749 |
| U.S. hospital EDs | 0.339155 |
| recreational water settings | 0.421024 |
| Nonfatal estimates | 0.404033 |
| National Child Death | 0.35299 |
| nonfatal drowning | 0.947715 |
| nonfatal drowning injuries | 0.67672 |
| unintentional drownings | 0.340746 |
| children | 0.522442 |
| nonfatal data | 0.440295 |
| Nonfatal rates | 0.432798 |
| formal swimming lessons | 0.410854 |
| National Electronic Injury | 0.522462 |
| Electronic Injury Surveillance | 0.518466 |
| greater risk | 0.346252 |
| survival swimming skills | 0.425223 |
| unintentional injury death | 0.501531 |
| Child Death Review | 0.403681 |
| National Vital Statistics | 0.537327 |
| swimming pools | 0.486355 |
| Unintentional Injury Prevention | 0.37123 |
| nonfatal cases | 0.471002 |
| older age groups | 0.399303 |
| persons | 0.377743 |
|
| fatal incidents | 0.410822 |
| Injury Program | 0.380341 |
| United States | 0.836653 |
| age group | 0.471665 |
| death rate | 0.64931 |
| transportation injury death | 0.351962 |
| U.S. EDs.§ Data | 0.350222 |
| injury death worldwide | 0.389379 |
| nonfatal drowning patients | 0.682455 |
| nonfatal incidents | 0.486639 |
| cardiopulmonary resuscitation | 0.37202 |
| overall death rate | 0.425181 |
| vehicle crash–related drownings | 0.359411 |
| death certificates | 0.341579 |
| boating-related drowning | 0.4477 |
| drowning death rates | 0.572161 |
| nonfatal unintentional drowning | 0.794545 |
| nonfatal drowning rates | 0.72053 |
| estimated nonfatal drownings | 0.49466 |
| nonfatal injury rates | 0.565754 |
| highest rates | 0.333147 |
| fatal drowning victims | 0.545862 |
| Fatal unintentional drowning | 0.626211 |
| nonfatal drownings | 0.640677 |
|
CLICK HERE |
| 9823 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, November 18, 2013 |
null |
| Trop Med Hyg. | 0.616394 |
| Huskins WC | 0.571283 |
| van Niekerk DJ | 0.613167 |
| Burns SM | 0.658281 |
| Hall JE | 0.570746 |
| Marks SM | 0.586558 |
| multiple chronic conditions | 0.601451 |
| Islander long-term survivors | 0.606842 |
| pregnant women | 0.614509 |
| Disease Control | 0.625825 |
| CDC Science Clips | 0.64373 |
| primary human papillomavirus | 0.620208 |
| Weinstein RA | 0.569625 |
| Danziger LH | 0.569264 |
| Deutschman CS | 0.6628 |
| phthalate metabolite concentrations | 0.605373 |
| Infect Genet Evol. | 0.644338 |
| colorectal cancer | 0.567937 |
| Dellit TH | 0.579274 |
| Science Clips Production | 0.611665 |
| discussion S64-73 | 0.569905 |
| cervical cancer | 0.567405 |
| Clin Infect Dis. | 0.672003 |
| Hunkler RJ | 0.617764 |
| Infect Dis. | 0.713933 |
|
| Nov | 0.650043 |
| northern Puerto Rico | 0.597293 |
| Hersh AL | 0.654066 |
| Hicks LA | 0.594397 |
| Cancer Surviv. | 0.569364 |
| population-based cohort study | 0.612585 |
| United States | 0.677918 |
| Gerding DN | 0.574246 |
| Taylor TH | 0.569213 |
| antibiotic expenditures | 0.583832 |
| respiratory tract infections | 0.608682 |
| structural-level needle/syringe programs | 0.616404 |
| Acquir Immune Defic | 0.609707 |
| McGowan JE | 0.585223 |
| cigarette smoking rates | 0.595066 |
| Infect Control. | 0.603151 |
| Pollack LA | 0.578466 |
| public health literature | 0.606557 |
| Pinney SM | 0.585082 |
| ambulatory care | 0.569933 |
| B. Thacker CDC | 0.637804 |
| high school students | 0.601013 |
| Magill SS | 0.657411 |
| et al | 0.974073 |
|
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| 10681 |
Centers for Disease Control and Prevention |
Html |
en |
Personal Reflections - Rima F. Khabbaz, MD |
Severe acute respiratory syndrome (SARS) is a viral respiratory illness caused by a coronavirus, called SARS-associated coronavirus (SARS-CoV). |
| CDC | 0.669723 |
| public health journalism | 0.284123 |
| CDC’s response | 0.348551 |
| infectious diseases | 0.329219 |
| Dr. Mary Chamberland | 0.239174 |
| potential SARS cases | 0.434575 |
| public health guidance | 0.311088 |
| SARS case definition | 0.444591 |
| CDC′s SARS pamphlets | 0.378091 |
| Public Health Advisor | 0.269985 |
| novel coronavirus | 0.235923 |
| SARS response volunteers | 0.428057 |
| National Center | 0.265029 |
| public health crises | 0.287615 |
| CDC leadership | 0.311878 |
| World Health Organization | 0.247512 |
| CDC response | 0.339775 |
| SARS | 0.777163 |
| public health officials | 0.295155 |
| international public health | 0.286141 |
| global public health | 0.372708 |
| International Health Regulations | 0.348948 |
| public health information | 0.329815 |
| CDC staffer | 0.307989 |
|
| CDC teams | 0.351252 |
| healthcare providers | 0.228146 |
| large CDC team | 0.3539 |
| outbreak risk communication | 0.230644 |
| SARS cases | 0.490218 |
| Hong Kong | 0.285613 |
| Dr. Khabbaz | 0.445258 |
| SARS Epidemiology | 0.359671 |
| subsequent SARS cases | 0.402749 |
| public health community | 0.370028 |
| CDC SARS response | 0.661055 |
| public health emergency | 0.287539 |
| CDC technical information | 0.374172 |
| local health departments | 0.261805 |
| public health | 0.905098 |
| SARS daily reports | 0.412349 |
| potential public health | 0.274958 |
| CDC scientists | 0.315152 |
| CDC laboratory | 0.31145 |
| new International Health | 0.275004 |
| public health capacity | 0.29421 |
| private healthcare providers | 0.221921 |
| SARS infection | 0.369379 |
| SARS outbreak | 0.579918 |
|
CLICK HERE |
| 11083 |
Centers for Disease Control and Prevention |
Html |
en |
Watch Me! Celebrating Milestones and Sharing Concerns |
“Watch Me! Celebrating Milestones and Sharing Concerns” is a free, 1-hour, web-based CEU course from CDC that helps early care and education providers identify and monitor developmental milestones of children in their care and share observations with parents. |
| associations | 0.467661 |
| instructions | 0.470754 |
| extra help | 0.831229 |
| Click | 0.47819 |
| FREE | 0.474315 |
| tools | 0.472575 |
| commercial supporters | 0.768653 |
| feedback | 0.471108 |
| early care | 0.84758 |
| DISCLOSURE | 0.50091 |
| children | 0.633528 |
| critical role | 0.845194 |
| quiz | 0.469121 |
| development | 0.547369 |
| commercial services | 0.764058 |
| manufacturers | 0.467529 |
|
| unlabeled product | 0.830081 |
| final evaluation | 0.794875 |
| health | 0.481081 |
| modules | 0.469252 |
| Sharing Concerns | 0.824708 |
| 4-module course | 0.803874 |
| Milestones | 0.500345 |
| commercial products | 0.76525 |
| education provider | 0.841747 |
| compliance | 0.468277 |
| best practices | 0.81515 |
| presenters | 0.49675 |
| online training course | 0.952876 |
| suggestions | 0.47133 |
| education requirements | 0.769068 |
|
CLICK HERE |
| 11930 |
Centers for Disease Control and Prevention |
Html |
en |
Journal Summaries |
Public health news releases, CDC press releases, medical news, health news, CDC studies, news |
| press summaries | 0.556108 |
| open access | 0.345468 |
| open exchange | 0.317571 |
| Mortality Weekly Report | 0.616506 |
| infectious diseases | 0.52072 |
| science-based research | 0.377421 |
| weekly journal | 0.367793 |
| journalists | 0.202371 |
| social determinants | 0.339116 |
| Health Promotion | 0.332525 |
| morbidity | 0.232829 |
| National Center | 0.326863 |
| contact information | 0.581589 |
| public health investigation | 0.605396 |
| premier forum | 0.331756 |
| Media Relations | 0.576218 |
|
| chronic diseases | 0.347482 |
| highlighted articles | 0.335912 |
| life span | 0.321078 |
| visit Hookup | 0.352188 |
| peer-reviewed journal | 0.347153 |
| embargoed basis | 0.579585 |
| peer-reviewed electronic journal | 0.506264 |
| disease emergence | 0.346089 |
| PCD | 0.270155 |
| practitioners | 0.213315 |
| hardcopy edition | 0.355506 |
| press summary packets | 0.903892 |
| policy makers | 0.642 |
| e-mail updates | 0.538195 |
| e-mail list | 0.543632 |
| CDC Media Relations | 0.534996 |
|
CLICK HERE |
| 12494 |
Centers for Disease Control and Prevention |
Video |
en |
February 2014 ACIP Meeting -- Pneumococcal Conjugate Vaccine (PCV) -- Part 2 |
Considerations for a 3-dose PCV13 schedule for infants.
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=307770b7a23d726d6ba2ea498c9b7e8f20140410083023341 |
| PCV | 0.482323 |
| Pneumococcal Conjugate Vaccine | 0.984626 |
|
|
CLICK HERE |
| 13909 |
Centers for Disease Control and Prevention |
Html |
en |
Brain Injury Safety Tips and Prevention | HEADS UP | CDC Injury Center |
null |
| high school | 0.903985 |
| athletes proper techniques | 0.424195 |
| school soccer players | 0.354346 |
| health care provider | 0.472457 |
| high school cheerleaders | 0.393596 |
| concussion Work | 0.409605 |
| Enforce Safe Play | 0.370067 |
| high school lacrosse | 0.411164 |
| rules | 0.360056 |
| athletes proper fielding | 0.42503 |
| safety | 0.361223 |
| contact | 0.364166 |
| concussion symptom reporting | 0.452795 |
| concussion symptoms | 0.453159 |
| possible concussion report | 0.440911 |
| athletes proper takedown | 0.382533 |
| high school basketball | 0.420084 |
| concussion education | 0.406624 |
| athletes | 0.605249 |
| event administrator | 0.546135 |
| close eye | 0.402039 |
| fair play | 0.523789 |
| good condition | 0.65836 |
| concussion rates | 0.417689 |
| concussion | 0.71324 |
|
| concussion information | 0.418516 |
| high school baseball | 0.372724 |
| proper fielding techniques | 0.384639 |
| Athletes May Try | 0.36861 |
| States High School | 0.367826 |
| game | 0.388069 |
| possible concussion | 0.546731 |
| school ice hockey | 0.451851 |
| high school soccer | 0.39987 |
| hazards | 0.354558 |
| High School Athletics | 0.364272 |
| helmet | 0.36119 |
| Culture Around Concussion | 0.404487 |
| high school athletes | 0.540176 |
| sportsmanship | 0.366954 |
| high school ice | 0.451565 |
| padding | 0.359496 |
| potential concussion | 0.409504 |
| young athletes | 0.438386 |
| safe sport culture | 0.356216 |
| concussion law | 0.40294 |
| youth sports coach | 0.355921 |
| high school football | 0.414018 |
| Sports-Related Concussions | 0.388795 |
|
CLICK HERE |
| 14407 |
Centers for Disease Control and Prevention |
Html |
en |
Using Small-Area Estimation to Calculate the Prevalence ofSmoking by Subcounty Geographic Areas in King County, Washington,Behavioral Risk Factor Surveillance System, 2009-2013 |
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 rates | 0.398963 |
| smoking prevalence rates | 0.397542 |
| data | 0.518676 |
| census tracts | 0.780352 |
| multiple imputation | 0.568715 |
| Risk Factor Surveillance | 0.424642 |
| Prev Chronic Dis | 0.413524 |
| King County HRAs | 0.391962 |
| King County sample | 0.418574 |
| nearest intersection question | 0.446671 |
| BRFSS data | 0.398013 |
| zip codes | 0.504769 |
| single census tract | 0.443148 |
| County health reporting | 0.393922 |
| census tract data | 0.462701 |
| census blocks | 0.403175 |
| sample size | 0.570247 |
| census tract level | 0.670387 |
| HRA levels | 0.39096 |
| hierarchical Bayesian models | 0.411333 |
| SAE census tract | 0.446261 |
| respondents | 0.396025 |
| King County BRFSS | 0.401269 |
| census geographic units | 0.42468 |
|
| census tract | 0.968157 |
| Behavioral Risk Factor | 0.423721 |
| direct estimation method | 0.401084 |
| small area estimation | 0.512294 |
| nearest intersection | 0.504123 |
| direct estimation | 0.497156 |
| zip code | 0.456015 |
| King County health | 0.406471 |
| percentage points | 0.566048 |
| health reporting areas | 0.418623 |
| county-level data mask | 0.394999 |
| census block-group level | 0.404099 |
| small sample size | 0.4549 |
| census tract-level analysis | 0.408981 |
| public health | 0.424579 |
| smoothed estimates | 0.408054 |
| census tract estimates | 0.45436 |
| census tract smoking | 0.441774 |
| smoothed–multiple imputation methods | 0.390919 |
| imputation methods | 0.439214 |
| small-area estimation | 0.439233 |
| single imputation methods | 0.39866 |
| census block-group–based areas | 0.42234 |
| King County | 0.780165 |
|
CLICK HERE |