| 4801 |
Centers for Disease Control and Prevention |
Html |
en |
2010 Haiti Cholera Outbreak: Multimedia Index |
CDC - Global Health |
| 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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CLICK HERE |
| 5511 |
Centers for Disease Control and Prevention |
Html |
en |
p-Nitrotoluene - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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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CLICK HERE |
| 6367 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, October 24, 2011 |
null |
| pneumococcal conjugate vaccines | 0.426904 |
| full-text link | 0.330737 |
| Work-related asthma | 0.362581 |
| CDC Science Clips | 0.824091 |
| asthma care | 0.358387 |
| Gange SJ | 0.324764 |
| secular changes | 0.319986 |
| factual accuracy | 0.325326 |
| mathematical assessment model | 0.42664 |
| Asthma Call-back Survey | 0.47969 |
| Chief Science Officer | 0.473212 |
| sexual violence victimization | 0.437295 |
| perinatal risk factors | 0.423315 |
| Bitsko RH | 0.331723 |
| HIV-related mortality | 0.333067 |
| DHHS | 0.335164 |
| Cancer screening | 0.321996 |
| Hanna DB | 0.322046 |
| routinely collected surveillance | 0.425152 |
| public domain | 0.343856 |
| Smith AC | 0.316893 |
| CDC licensed materials | 0.628714 |
| Stephen B. Thacker | 0.686468 |
| International Clearinghouse | 0.316769 |
| financial barriers | 0.326074 |
|
| environmental public health | 0.443429 |
| United States | 0.334615 |
| Dietz PM | 0.331559 |
| SFX window | 0.348169 |
| Farr SL | 0.327787 |
| Birth Defects Surveillance | 0.41522 |
| adverse asthma | 0.357989 |
| public health | 0.517745 |
| weekly digest | 0.338292 |
| Bladder exstrophy | 0.332416 |
| Science Clips | 0.914374 |
| Selik RM | 0.335741 |
| recent autism prevalence | 0.426774 |
| U.S. adults | 0.330472 |
| public health literature | 0.426633 |
| SFX server | 0.348783 |
| B. Thacker CDC | 0.861501 |
| Public health department | 0.443684 |
| original authors | 0.318808 |
| epidemiologic study | 0.325402 |
| antiviral treatment | 0.33256 |
| U.S. states | 0.332362 |
| original sources | 0.339084 |
| news sources | 0.320953 |
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CLICK HERE |
| 8211 |
Centers for Disease Control and Prevention |
Html |
en |
Sickle Cell Disease, Data and Statistics |
Sickle cell disease (SCD) is a common inherited blood disorder in the United States, affecting an estimated 70,000 to 100,000 Americans. SCD can lead to lifelong disabilities and reduce average life expectancy. CDC considers SCD a major public health concern and is committed to conducting surveillance, raising awareness, and promoting health education. |
| Central America | 0.246685 |
| family physicians | 0.26981 |
| sickle cell trait | 0.721111 |
| Emergency Department | 0.271728 |
| genetic disorders | 0.243326 |
| African-American infants | 0.249701 |
| lower medical costs | 0.264269 |
| sickle cell disease | 0.914117 |
| Cell Data Collection | 0.335034 |
| Sickle cell-related death | 0.394459 |
| Program Data Useful | 0.275707 |
| Key Findings | 0.26825 |
| young children | 0.266894 |
| New Death Rate | 0.275668 |
| African-American babies | 0.251827 |
| Cell Trait Toolkit | 0.342094 |
| sickle cell anemia | 0.382041 |
| Read summary | 0.35993 |
| California’s SCD | 0.332075 |
| Hispanic-American births | 0.247571 |
| Sickle Cell Data | 0.427812 |
| Read article | 0.284036 |
| comprehensive team care | 0.278752 |
| African-American children | 0.288666 |
|
| Hb SS disease | 0.290039 |
| exact number | 0.244994 |
| African-American newborns | 0.251523 |
| employer-sponsored insurance | 0.243458 |
| newborn screening programs | 0.268198 |
| Data Collection Program | 0.328894 |
| African-American births | 0.254587 |
| United States | 0.307965 |
| Mediterranean countries | 0.245467 |
| invasive pneumococcal disease | 0.397155 |
| major public health | 0.274405 |
| Saudi Arabia | 0.245453 |
| sub-Saharan Africa | 0.247639 |
| state death records | 0.273198 |
| Key Study Findings | 0.334233 |
| Spanish-speaking regions | 0.245731 |
| CDC Raising Awareness | 0.274861 |
| Emergency Department Visits | 0.270978 |
| severe forms | 0.245539 |
| people | 0.30129 |
| SCD mortality rate | 0.382345 |
| equivalent cumulative mortality | 0.282782 |
| SCD | 0.502848 |
| sickle cell | 0.929777 |
|
CLICK HERE |
| 8646 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - In Memorial, The Phye Family |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| influenza | 0.359889 |
| daughter Florence | 0.701886 |
| Phye Family | 0.594281 |
| general hospital | 0.573483 |
| couple | 0.351494 |
| Red Cross | 0.582774 |
| Berthoud | 0.377023 |
| higher paying employment | 0.850747 |
| Jessie May Hines–Phye | 0.687186 |
| Cleveland Street | 0.580692 |
| Tommy | 0.351093 |
| oldest child | 0.608375 |
| Charlie Phye | 0.609818 |
| Phie | 0.350191 |
| sons | 0.351833 |
| children | 0.354652 |
| Community Building | 0.581021 |
| Colorado | 0.526523 |
| Storyteller | 0.365775 |
| Phyes | 0.352609 |
| floor | 0.349286 |
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| family members | 0.567657 |
| Willie | 0.35506 |
| son Charles Long | 0.833676 |
| Bobbie | 0.362395 |
| entire family | 0.585878 |
| prior marriage | 0.603507 |
| banquet hall | 0.585146 |
| Judy Walker | 0.639277 |
| emergency hospital | 0.769639 |
| Elk′s Lodge | 0.581897 |
| Eaton | 0.447747 |
| young son | 0.588492 |
| flu | 0.354612 |
| Dr. Adrienne LeBailly | 0.935881 |
| Loveland | 0.555223 |
| Davie | 0.360239 |
| family′s | 0.350336 |
| Charles Wayman | 0.620352 |
| Nov. | 0.53989 |
| southeast | 0.353392 |
| parents | 0.408725 |
|
CLICK HERE |
| 11451 |
Centers for Disease Control and Prevention |
Html |
en |
Letter from the Director |
There is no work quite like public health, and there is no agency quite like CDC. As America's health protection agency, we are unique in our ability to safeguard America's health security 24 hours a day, 7 days a week. |
| CDC | 0.765381 |
| new health threat | 0.701939 |
| MPH | 0.2584 |
| methods | 0.247164 |
| Tom Frieden | 0.489964 |
| emergency | 0.249671 |
| strong public health | 0.678648 |
| danger | 0.253987 |
| expertise | 0.249458 |
| critical nature | 0.48521 |
| nightmare bacteria | 0.492758 |
| advanced computing | 0.475364 |
| PDF | 0.256399 |
| U.S. | 0.246192 |
| world | 0.246117 |
| health security | 0.519413 |
| America | 0.386491 |
| 2M | 0.281842 |
| ability | 0.250067 |
| global health threats | 0.750426 |
| public health | 0.93113 |
| crucial public health | 0.700791 |
| strategic areas | 0.456932 |
| chronic condition | 0.487836 |
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| lives | 0.249245 |
| rapid disease detection | 0.716338 |
| work | 0.354634 |
| Americans | 0.246067 |
| priority | 0.250726 |
| new threats | 0.515606 |
| people | 0.246249 |
| short time | 0.465578 |
| major priorities | 0.468701 |
| 24 hours a day | 0.250345 |
| greatest health benefit | 0.690904 |
| preparedness | 0.256766 |
| infectious disease | 0.484333 |
| response | 0.249284 |
| cost-efficient way | 0.481471 |
| new technologies | 0.468854 |
| millions | 0.254207 |
| decades | 0.251187 |
| health protection agency | 0.7587 |
| page | 0.256442 |
| antibiotics | 0.260453 |
| deliberate attack | 0.507608 |
| DNA sequencing | 0.477193 |
|
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| 11751 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Acculturation and the Prevalence of Diabetes in US Latino Adults, National Health and Nutrition Examination Survey 2007"2010 - CDC |
US Latinos are growing at the fastest rate of any racial/ethnic group in the United States and have the highest lifetime risk of diabetes. Acculturation may increase the risk of diabetes among all Latinos, but this hypothesis has not been studied in a nationally representative sample. The objective of this study was to test the hypothesis that acculturation was associated with an increased risk of diabetes in such a sample. |
| study | 0.387559 |
| acculturation increases | 0.491091 |
| federal poverty level | 0.421022 |
| data | 0.397615 |
| United States | 0.509578 |
| undiagnosed diabetes limits | 0.449328 |
| total dietary calories | 0.748607 |
| individual acculturation variables | 0.503829 |
| educational attainment | 0.412088 |
| association | 0.395648 |
| Temple University | 0.421053 |
| acculturation | 0.914651 |
| diabetes burden | 0.438545 |
| diabetes prevalence | 0.466558 |
| doctor-diagnosed diabetes | 0.493555 |
| undiagnosed diabetes | 0.57329 |
| acculturation — nativity | 0.48512 |
| nationally representative sample | 0.489779 |
| marital status | 0.414341 |
| Nutrition Examination Survey | 0.510287 |
| different acculturation experiences | 0.484926 |
| acculturation score | 0.886244 |
| participants | 0.418321 |
| BMI | 0.391666 |
|
| diabetes incidence | 0.419281 |
| Mexican Americans | 0.390926 |
| body mass index | 0.557547 |
| participant characteristics | 0.41223 |
| Hispanic origin | 0.390137 |
| acculturation process | 0.471038 |
| successive acculturation score | 0.491723 |
| insurance status | 0.392986 |
| diabetes risk | 0.516132 |
| acculturation level | 0.510962 |
| physical activity | 0.414779 |
| National Health | 0.411904 |
| household income | 0.426278 |
| HbA1c value | 0.400506 |
| leisure-time physical activity | 0.414743 |
| available data | 0.393476 |
| diabetes increases | 0.451431 |
| NHANES | 0.394655 |
| Latinos | 0.513245 |
| usual source | 0.440006 |
| diabetes | 0.936477 |
| acculturation scores | 0.476125 |
| diabetes rates | 0.424922 |
|
CLICK HERE |
| 12508 |
Centers for Disease Control and Prevention |
Video |
en |
June 2014 ACIP Meeting: General Recommendations and Yellow Fever Vaccine |
General Recommendations on Immunization Altered Immunocompetence
Vaccination Programs, Altered Immunocompetence, Child & Adolescent Immunization Schedules being used, ACIP Japanese Encephalitis (JE) and Yellow Fever (YF) Vaccines Work Group, GRADE and Work Group conclusions regarding YF vaccine booster doses.
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=db99e98ef428d476f621b758e8361eda20140728120512100 |
| Yellow Fever Vaccine | 0.903944 |
| ACIP Meeting | 0.709804 |
|
|
CLICK HERE |
| 12927 |
Centers for Disease Control and Prevention |
Video |
en |
Concussion Videos - Concussion Animation |
Learn exactly what a concussion is and why it is so important to allow your brain to fully recover.
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/concussion/index.html |
|
|
CLICK HERE |
| 13765 |
Centers for Disease Control and Prevention |
Html |
en |
Human Papillomavirus Vaccination Coverage Among School Girlsin a Demonstration Project - Botswana, 2013 |
Mmakgomo Mimi Raesima, MD1; Sara E. Forhan, MD2; Andrew C. Voetsch, PhD2; Shannon Hewitt3; Susan Hariri, PhD4; Susan A. |
| complete vaccination | 0.512484 |
| girls | 0.629706 |
| HPV types | 0.64571 |
| Botswana MOH | 0.57346 |
| vaccination completion | 0.519742 |
| National Cervical Cancer | 0.504118 |
| vaccination coverage | 0.726926 |
| cervical cancer worldwide | 0.510364 |
| Out-of-school preadolescent girls | 0.494915 |
| HPV vaccination coverage | 0.682394 |
| HPV vaccination project | 0.695384 |
| 3-dose series | 0.497735 |
| parental consent | 0.573903 |
| HPV vaccination demonstration | 0.727452 |
| HPV vaccination date | 0.642564 |
| primary schools | 0.525892 |
| school vaccination | 0.532818 |
| Vaccination data | 0.525789 |
| Botswana Ministry | 0.521354 |
| cervical cancer screening | 0.496891 |
| HPV vaccine implementation | 0.578042 |
| cervical cancer | 0.688476 |
| targeted HPV types | 0.548521 |
| HPV vaccines | 0.526658 |
| 2-dose HPV vaccine | 0.56059 |
|
| grade-based HPV vaccination | 0.652121 |
| HPV vaccine activities | 0.577314 |
| HPV vaccination series | 0.702001 |
| Scottish Livingston Hospital | 0.513449 |
| high vaccination coverage | 0.597285 |
| HPV exposure | 0.539531 |
| lower vaccination rates | 0.533956 |
| HPV vaccination | 0.930336 |
| Health HPV Immunization | 0.558475 |
| HPV vaccine | 0.778908 |
| quadrivalent HPV vaccine | 0.573998 |
| vaccination campaign rounds | 0.550524 |
| 2-dose vaccination schedule | 0.543694 |
| public health | 0.52034 |
| public health workers | 0.519333 |
| 3-dose HPV vaccination | 0.702497 |
| adverse events | 0.494527 |
| 3-dose vaccination coverage | 0.552953 |
| national vaccination program | 0.543433 |
| national HPV vaccine | 0.56691 |
| eligible school girls | 0.508684 |
| HPV vaccination strategy | 0.626691 |
| Botswana | 0.594455 |
| cervical cancer prevention | 0.535989 |
|
CLICK HERE |