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National Women’s History Month | CDC Features |
She's your friend, sister, wife, mother, daughter, neighbor, or co-worker, and she has a story to tell. March is National Women's History Month and the 2015 theme is Weaving the Stories of Women's Lives. Women share their personal health journeys, challenges, and triumphs to help you better understand what you can do to improve your health. |
| Ebola samples | 0.769452 |
| grade school | 0.708054 |
| CDC | 0.888042 |
| tiny girl | 0.717925 |
| Christine Branche | 0.833285 |
| Shana shares | 0.731842 |
| Stop HIV | 0.707904 |
| personal health journeys | 0.865835 |
| Distinguished Service Award | 0.993158 |
| daughter Faith | 0.716728 |
| Cancer Survivor Story | 0.843359 |
| female staff | 0.72858 |
| Bleeding Disorders | 0.729421 |
| TB story | 0.794982 |
| public health activities | 0.820815 |
| diverse career opportunities | 0.831546 |
| Principal Associate Director | 0.788785 |
| medical school | 0.709026 |
| high achievers | 0.709865 |
| Bio Lab Team | 0.807077 |
| Denise Koo | 0.803969 |
| Shana'a Story | 0.741564 |
| Construction Safety | 0.722322 |
| husband Bear | 0.712736 |
| von Willebrand Disease | 0.977577 |
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| National Women | 0.76191 |
| difficult relationship | 0.712619 |
| workplace safety | 0.716286 |
| TB medication | 0.765685 |
| Ebola testing lab | 0.859786 |
| TB disease | 0.784635 |
| Occupational Safety | 0.716424 |
| CDC Women | 0.825128 |
| Disease Detectives Respond | 0.817112 |
| Service Award Presented | 0.800793 |
| Sierra Leone epidemic | 0.797401 |
| Hurley Distinguished Service | 0.800691 |
| all-woman team | 0.719378 |
| CDC Responds | 0.795871 |
| Michelle Hynes | 0.716758 |
| health education class | 0.816164 |
| STEM careers share | 0.831518 |
| International Safety Equipment | 0.813846 |
| border security agents | 0.792194 |
| West Africa | 0.707409 |
| Dr. Hynes | 0.718876 |
| healthier place | 0.728609 |
| airport workers | 0.707586 |
| ebola outbreak | 0.990512 |
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Promoting Policy and Systems Change to Expand Employment of Community Health Workers (CHWs)'eLearning'DHDSP'CDC |
This course is designed to provide state programs and other stakeholders with basic knowledge about Community Health Workers (CHWs), such as official definitions of CHWs, workforce development, and other topic areas. In addition, the course covers how states can become engaged in policy and systems change efforts to establish sustainability for the work of CHWs, including examples of states that have proven success in this arena. |
| financial interests | 0.621916 |
| CDC | 0.571262 |
| collaborative effort | 0.632572 |
| course sessions | 0.696722 |
| arena | 0.440222 |
| planners | 0.437267 |
| commercial supporters | 0.624032 |
| workforce development | 0.682773 |
| Disease Control | 0.631959 |
| Carl Rush | 0.628823 |
| five-minute survey | 0.679309 |
| Completion time | 0.656589 |
| addition | 0.440922 |
| topic areas | 0.666618 |
| commercial services | 0.62629 |
| Community Health Workers | 0.90041 |
| primary author | 0.632089 |
| six-session course | 0.705462 |
| GEARS | 0.441173 |
| sustainability | 0.448418 |
| Heart Disease | 0.633519 |
| official definitions | 0.667669 |
| efforts | 0.438313 |
| commercial products | 0.626782 |
| examples | 0.442834 |
|
| success | 0.44273 |
| CHWs | 0.513443 |
| Centers | 0.437724 |
| commercial support | 0.633895 |
| REACH Program | 0.636642 |
| MRP | 0.455 |
| stakeholders | 0.464073 |
| basic knowledge | 0.674068 |
| states | 0.47302 |
| conclusion | 0.456986 |
| state programs | 0.674721 |
| content experts | 0.622491 |
| systems | 0.44306 |
| course | 0.773708 |
| Division | 0.437977 |
| policy | 0.443095 |
| succession | 0.450624 |
| charge | 0.437664 |
| Stroke Prevention | 0.631933 |
| satisfaction | 0.44496 |
| Launch | 0.437223 |
| Community Resources | 0.628402 |
| DHDSP web site | 0.811589 |
| user | 0.440347 |
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Science Clips - Monday, June 28, 2010 |
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| community coalitions | 0.697072 |
| Wheeler LS | 0.69456 |
| Rev Med Virol. | 0.755971 |
| secondary household transmission | 0.861496 |
| Lee VJ | 0.770279 |
| Low secondary transmission | 0.754284 |
| Chan KH | 0.697179 |
| snake oil remedy | 0.766259 |
| protective role | 0.743216 |
| Tangka FK | 0.707286 |
| young Swedish men | 0.753215 |
| Action Science Clips | 0.934505 |
| fatal breast cancer | 0.782062 |
| new weekly digest | 0.787408 |
| Tan BH | 0.763819 |
| Chief Science Officer | 0.781411 |
| urban police officers | 0.752777 |
| pedestrian injury research | 0.757619 |
| Fung RO | 0.700036 |
| Clin Infect Dis. | 0.777313 |
| school outbreak | 0.763097 |
| health facility management | 0.764459 |
| Tay JK | 0.761003 |
| Infect Dis. | 0.795575 |
|
| Fang VJ | 0.731782 |
| Public Health Rep. | 0.926824 |
| fatal occupational injuries | 0.770259 |
| school medical inspection | 0.774689 |
| occupational mortality | 0.697934 |
| United States | 0.923848 |
| potential life | 0.694688 |
| public health strategy | 0.78073 |
| pandemic influenza | 0.747462 |
| cancer deaths-United States | 0.792213 |
| trachomatis genital infection | 0.758722 |
| Moll HA | 0.696279 |
| law enforcement | 0.694647 |
| Jun | 0.763697 |
| Doctor LJ | 0.696803 |
| 1918-1919 influenza pandemic | 0.83831 |
| B. Thacker CDC | 0.807137 |
| Ind Med. | 0.697621 |
| Cetron MS | 0.776806 |
| Prev Med. | 0.694137 |
| Mol Cancer. | 0.69416 |
| Ma ES | 0.695768 |
| et al | 0.936717 |
| coronary heart disease | 0.75318 |
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ACE Center Descriptions: University of Michigan - Violence Prevention - Injury Center |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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CDC: Tips from Former Smokers - Terrie's Ad |
Smoking causes cancer. In this TV ad for CDC's "Tips From Former Smokers" campaign, Terrie talks about how she gets ready for the day after the effects of treatments for throat cancer caused her to lose her teeth and hair, and to have a laryngectomy.
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=5ef043d34ab9ba7ea4dd7fcb6af8df3e20120313113225393
To learn more about tobacco control and prevention, go to BeTobaccoFree.gov |
| Smokers | 0.65829 |
| CDC | 0.6486 |
| Terrie | 0.793054 |
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| Tip Ad | 0.947186 |
| YouTube | 0.626532 |
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Prepare Your Home for Winter Weather |
Taking preventive action is your best defense against having to deal with extreme cold-weather conditions. By preparing your home and car in advance for winter emergencies, and by observing safety precautions during times of extremely cold weather, you can reduce the risk of weather-related health problems. |
| temperatures | 0.458116 |
| winter storms | 0.788413 |
| stages | 0.371516 |
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| challenge | 0.397336 |
| winter storm | 0.722421 |
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Preventing Chronic Disease | Impact of Individual and Worksite Environmental Factors on Water and Sugar-Sweetened Beverage Consumption Among Overweight Employees - CDC |
The worksite environment may influence employees’ dietary behaviors. Consumption of water and sugar-sweetened beverages (SSBs) affect weight management; however, little research has evaluated the influence of worksite factors on beverage consumption. Our purpose was to determine whether individual and worksite factors are associated with water and SSB intake among overweight and obese employees. |
| unhealthier beverage consumption | 0.472839 |
| beverage consumption behaviors | 0.540869 |
| daily water intake | 0.408216 |
| worksite environmental factors | 0.40697 |
| higher beverage intake | 0.397932 |
| validated beverage intake | 0.428481 |
| worksite environmental characteristics | 0.456607 |
| worksite break policy | 0.404177 |
| water consumption information | 0.418294 |
| unhealthy beverage consumption | 0.496389 |
| Habitual beverage intake | 0.413196 |
| beverage intake patterns | 0.483636 |
| worksite water coolers | 0.496575 |
| SSB consumption | 0.708808 |
| worksite conditions | 0.438925 |
| Lower SSB consumption | 0.50049 |
| daily water consumption | 0.42748 |
| water consumption | 0.745874 |
| worksite type | 0.429937 |
| beverage consumption patterns | 0.465183 |
| water consumption model | 0.417497 |
| highest water consumption | 0.409342 |
| beverage consumption model | 0.434696 |
| higher SSB consumption | 0.42841 |
| total beverage consumption | 0.441981 |
|
| healthier beverage consumption | 0.522876 |
| lower SSB intake | 0.433937 |
| healthier beverage intake | 0.48843 |
| water consumption account | 0.415248 |
| worksite beverage environment | 0.500792 |
| fl oz | 0.482886 |
| beverage intake | 0.657972 |
| lowest water consumption | 0.411272 |
| water intake | 0.417606 |
| worksite factors | 0.469465 |
| worksite vending machines | 0.413589 |
| healthful beverage intake | 0.406268 |
| SSB caloric intake | 0.484258 |
| beverage consumption habits | 0.426797 |
| energy intake | 0.420499 |
| beverage consumption | 0.905508 |
| worksite weight management | 0.406013 |
| beverage consumption equation | 0.422005 |
| regular soda slots | 0.622814 |
| SSB intake | 0.565483 |
| habitual beverage consumption | 0.505556 |
| worksite | 0.556381 |
| beverage intake questionnaire | 0.473375 |
| higher SSB intake | 0.435032 |
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HIV Care Saves Lives |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| Mortality Weekly Report | 0.277437 |
| HIV prevention | 0.448124 |
| Doctor’s Channel | 0.242079 |
| body | 0.209412 |
| Counsel patients | 0.284808 |
| clinical data | 0.286377 |
| low levels | 0.25081 |
| viral suppression | 0.571721 |
| HIV status | 0.392176 |
| Work | 0.21731 |
| guidelines | 0.208265 |
| HIV testing site | 0.420759 |
| health care providers | 0.289497 |
| support services | 0.244064 |
| mental health services | 0.345118 |
| nearly normal lifespans | 0.284936 |
| HIV Diagnosis | 0.390475 |
| Signs Issue details | 0.276135 |
| smart phone | 0.241075 |
| HIV medical care | 0.938019 |
| Affordable Care Act | 0.286781 |
| HIV medicines | 0.547257 |
| nutrition | 0.217397 |
| chances | 0.209224 |
| high risk | 0.241266 |
|
| quality health care | 0.288912 |
| treatment | 0.217056 |
| zip code | 0.241075 |
| access | 0.208207 |
| Vital Signs | 0.275069 |
| United States | 0.242706 |
| housing | 0.21739 |
| training | 0.208261 |
| HIV testing services | 0.422268 |
| HIV Care Saves | 0.427938 |
| virus | 0.226632 |
| Persons | 0.207927 |
| supportive services | 0.282357 |
| health departments | 0.279255 |
| health care | 0.297652 |
| public health | 0.279486 |
| MMWR | 0.2079 |
| health care systems | 0.293685 |
| Text | 0.207867 |
| people | 0.384455 |
| Morbidity | 0.208873 |
| Test patients | 0.284667 |
| partners | 0.208044 |
| HIV testing | 0.532792 |
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Asthma Prevention and Management for Aboriginal People: Lessons From Mi'kmaq Communities, Unama'ki, Canada, 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. |
| monthly asthma education | 0.463324 |
| community-wide asthma initiatives | 0.440689 |
| Mi’kmaq-specific asthma programs | 0.458306 |
| Aboriginal health inequities | 0.425865 |
| asthma camp | 0.545574 |
| professional asthma support | 0.510082 |
| specific asthma statistics | 0.451491 |
| professional participants | 0.422667 |
| asthma expertise | 0.42751 |
| community asthma incidence | 0.48027 |
| Health professional Non-Mi’kmaq | 0.449402 |
| asthma prevention | 0.479467 |
| health care professionals | 0.539066 |
| community asthma support | 0.531526 |
| Aboriginal peoples | 0.478685 |
| Mi’kmaq communities | 0.505185 |
| asthma | 0.930516 |
| Background
Asthma | 0.451394 |
| Aboriginal communities | 0.526208 |
| asthma encounter | 0.41839 |
| culturally appropriate asthma | 0.43428 |
| community health | 0.774244 |
| asthma camp intervention | 0.450716 |
| annual asthma camp | 0.449389 |
| school-based asthma education | 0.468072 |
|
| asthma support strategies | 0.572614 |
| community members | 0.43703 |
| asthma support opportunity | 0.481435 |
| health promotion | 0.453734 |
| community-level asthma education | 0.457488 |
| asthma camps | 0.451317 |
| 2-day asthma camp | 0.448751 |
| aboriginal health | 0.433465 |
| health care | 0.640798 |
| asthma awareness | 0.456026 |
| asthma support initiatives | 0.485548 |
| health | 0.857001 |
| community health care | 0.425853 |
| Aboriginal children | 0.484711 |
| asthma sufferers | 0.42035 |
| community health centers | 0.614211 |
| asthma programs | 0.515846 |
| asthma support | 0.693627 |
| asthma education | 0.57033 |
| focus group | 0.440583 |
| Health professional Mi’kmaq | 0.438927 |
| asthma symptoms | 0.462571 |
| health directors | 0.449217 |
| community-based asthma champion | 0.443773 |
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Infection with Pathogens Transmitted Commonly Through Foodand the Effect of Increasing Use of Culture-Independent DiagnosticTests on Surveillance - Foodborne Diseases Active SurveillanceNetwork, 10 U.S. Sites, 2012-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Salmonella | 0.307837 |
| positive cidt reports | 0.98864 |
| Diagnostic testing practices | 0.308708 |
| Shiga toxin | 0.391544 |
| Escherichia coli | 0.288743 |
| STEC non-O157 infections | 0.467417 |
| Yersinia infections | 0.283627 |
| CIDT.†Positive CIDT | 0.287722 |
| U.S. Department | 0.277391 |
| enteric pathogens | 0.275351 |
| FoodNet | 0.32234 |
| infections | 0.579105 |
| positive cidt results | 0.364934 |
| public health surveillance | 0.333011 |
| STEC | 0.518204 |
| laboratory-confirmed infections | 0.315997 |
| serotype Typhimurium infections | 0.313934 |
| diagnostic testing | 0.310588 |
| culture-based methods | 0.287739 |
| enrichment broth | 0.289479 |
| non-O157 STEC infections | 0.426179 |
| incidence measurement | 0.279524 |
| Foodborne Diseases Active | 0.308649 |
| average incidence | 0.306326 |
| laboratory-confirmed parasitic infections | 0.435042 |
|
| health surveillance data | 0.332349 |
| clinical laboratories | 0.301178 |
| public health practice | 0.437893 |
| culture-independent diagnostic tests | 0.318558 |
| specimen collection | 0.278483 |
| STEC-positive CIDT reports | 0.278638 |
| Emerging Infections Program | 0.304554 |
| bacterial infections | 0.380152 |
| culture-independent diagnostic test | 0.295164 |
| FoodNet pathogens | 0.27803 |
| following incidence rates | 0.298951 |
| pathogens | 0.328776 |
| culture-confirmed infections | 0.312906 |
| STEC O157 incidence | 0.375869 |
| public health | 0.621278 |
| stool specimen | 0.287645 |
| Shiga toxin–positive reports | 0.279641 |
| HUS incidence | 0.275913 |
| bacterial pathogens | 0.301627 |
| CIDTs | 0.313595 |
| STEC O157 | 0.383912 |
| Diseases Active Surveillance | 0.306857 |
| incidence | 0.48037 |
| public health laboratory | 0.347646 |
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