| 6472 |
Centers for Disease Control and Prevention |
Html |
en |
Smoking initiation among young adults in the United States and Canada, 1998-2010: a systematic review |
The objective of this study was to systematically review peer-reviewed articles on cigarette smoking initiation and effective prevention efforts among young adults. |
| data extraction process | 0.288671 |
| cigarette smoking initiation | 0.371881 |
| public health researchers | 0.272232 |
| young adulthood | 0.243196 |
| young adult STW | 0.247844 |
| Laura L. Feldman | 0.257528 |
| research questions | 0.243751 |
| research | 0.280945 |
| nonwhite adult smokers | 0.238044 |
| STW population | 0.287696 |
| prevention programs | 0.252711 |
| smoking behavior | 0.326548 |
| population | 0.310216 |
| regular smoking | 0.294197 |
| Nanette M. Nelson | 0.257688 |
| young adults | 0.902695 |
| age range | 0.275225 |
| Kit S. Freedman | 0.258961 |
| cigarettes | 0.250815 |
| research articles | 0.236844 |
| smoking prevalence | 0.274649 |
| young adult population | 0.292566 |
| study | 0.267417 |
| adult smoking initiation | 0.533223 |
| United States | 0.355421 |
|
| young adult women | 0.249743 |
| initiation limit | 0.271804 |
| smokers | 0.244602 |
| general population | 0.248221 |
| smoking onset | 0.277285 |
| peer-reviewed research articles | 0.2366 |
| future smoking | 0.269056 |
| White young adults | 0.257292 |
| studies | 0.268266 |
| smoking initiation | 0.724095 |
| regular established smoking | 0.294565 |
| highest smoking rate | 0.2968 |
| smoking progression | 0.288456 |
| adult smoking behavior | 0.318265 |
| effective prevention efforts | 0.287202 |
| systematic review | 0.258068 |
| smoking intention | 0.272222 |
| young adult smoking | 0.561205 |
| information | 0.236954 |
| effective programs | 0.242307 |
| articles | 0.278864 |
| past illegal drug | 0.251978 |
| Young adult men | 0.249357 |
| military personnel | 0.245613 |
|
CLICK HERE |
| 8114 |
Centers for Disease Control and Prevention |
Html |
en |
Impact of an Innovative Approach to Prevent Mother-to-ChildTransmission of HIV - Malawi, July 2011-September 2012 |
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. |
| new HIV infections | 0.479096 |
| streamlined ART initiation | 0.478634 |
| Option B+ prophylaxis | 0.523565 |
| national HIV program | 0.476694 |
| CD4 т‰Є350 cells/mm3 | 0.470106 |
| antiretroviral medication efavirenz.* | 0.469331 |
| Option B+ implementation | 0.668922 |
| resource-limited settings | 0.469545 |
| mother-to-child transmission rate | 0.497835 |
| first-line ART regimen | 0.487366 |
| lifelong antiretroviral therapy | 0.5141 |
| important innovation | 0.469573 |
| antiretroviral medications | 0.572791 |
| Global AIDS Coordinator | 0.493309 |
| health-care workers | 0.467472 |
| World Health Organization | 0.498838 |
| breastfeeding women | 0.671112 |
| additional antiretroviral medications | 0.502422 |
| Malawi MOH | 0.488969 |
| ART coverage | 0.480576 |
| vertical HIV transmission | 0.5277 |
| human immunodeficiency virus | 0.550156 |
| new ART initiations | 0.59079 |
| efavirenz-based ART regimens | 0.480078 |
|
| ART sites | 0.511135 |
| ART | 0.723454 |
| lifelong ART adherence | 0.506789 |
| HIV transmission risk | 0.49112 |
| CD4 cell count | 0.608675 |
| Malawi Ministry | 0.510128 |
| Malawi | 0.603245 |
| Option B+ policy | 0.548723 |
| HIV transmission | 0.52994 |
| maternal HIV status | 0.469353 |
| mother-to-child transmission | 0.689172 |
| lifelong ART | 0.517833 |
| new antiretroviral treatment | 0.493726 |
| Option B+ | 0.90039 |
| HIV Programme Reports | 0.474127 |
| health | 0.506316 |
| HIV | 0.552878 |
| infants acquired HIV | 0.481491 |
| et al | 0.467591 |
| HIV worldwide | 0.495638 |
| 12-month ART retention | 0.48742 |
| ANC sites | 0.47582 |
| high-quality HIV testing | 0.495521 |
| HIV-infected pregnant women | 0.54215 |
|
CLICK HERE |
| 8642 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - War Stories, Phyllis Pryor |
War Stories, The first cases of illness from the 1918 flu pandemic in the United States were reported from Fort Riley, Kansas on March 11 when an Army private became ill; complaining of fever, sore throat, and headache. Military personnel were greatly impacted by the virus and many young recruits were dead from the flu before they ever saw combat. |
| high school | 0.789532 |
| young helpers | 0.652641 |
| grandparents | 0.539613 |
| local high school | 0.757723 |
| training | 0.526227 |
| Cripple Creek hospital | 0.839861 |
| east coast | 0.646761 |
| mature town | 0.664571 |
| San Diego | 0.655837 |
| new baby girl | 0.771585 |
| physicians | 0.528244 |
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| Storyteller | 0.538426 |
| aunt | 0.537338 |
| influenza patients | 0.671672 |
| physician | 0.526618 |
| World War | 0.656649 |
|
| deployment | 0.529594 |
| Pike′s Peak gold | 0.80553 |
| newborns | 0.535141 |
| Lorraine | 0.684909 |
| California | 0.52617 |
| rush | 0.52777 |
| army | 0.52625 |
| high school teacher | 0.781537 |
| persons | 0.527713 |
| Phyllis home | 0.692807 |
| Cripple Creek | 0.943879 |
| family history | 0.643443 |
| transit | 0.526097 |
| Phyllis Brinton–Pryor | 0.704406 |
| time | 0.549744 |
| flu pandemic | 0.667183 |
| Location | 0.531238 |
|
CLICK HERE |
| 10394 |
Centers for Disease Control and Prevention |
Html |
en |
DHDSP Data Trends and Maps Data Sources'DHDSP'CDC |
DHDSP Data Trends and Maps Help |
| National Center | 0.804593 |
| Centers | 0.247151 |
| Cardiovascular Diseases | 0.274214 |
| CDC | 0.658608 |
| data source | 0.673142 |
| Stroke Prevention | 0.534056 |
| Risk Factors | 0.252472 |
|
| Heart Disease | 0.51877 |
| Chronic Disease Prevention | 0.906262 |
| Health Statistics | 0.255691 |
| DHDSP Data Trends | 0.211293 |
| Health Promotion | 0.609655 |
| Disease Control | 0.565342 |
| personnel | 0.231488 |
|
CLICK HERE |
| 10560 |
Centers for Disease Control and Prevention |
Html |
en |
My Child's Story | Learn the Signs. Act Early | NCBDDD |
The Centers for Disease Control and Prevention’s (CDC) National Center on Birth Defects and Developmental Disabilities (NCBDDD), in collaboration with a number of national partners, launched a public awareness campaign called “Learn the Signs. Act Early.” The campaign aims to educate parents about childhood development, including early warning signs of autism and other developmental disorders, and encourages developmental screening and intervention. |
| 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 |
| 11766 |
Centers for Disease Control and Prevention |
Html |
en |
Questions and Answers about Ebola and Pets |
null |
| United States | 0.58485 |
| Ebola infection | 0.403095 |
| body fluids | 0.299405 |
| Reston virus | 0.320068 |
| Ebola virus | 0.783483 |
| monkeys | 0.20782 |
|
| Ebola patient | 0.364038 |
| Ebola species | 0.361386 |
| contact | 0.20913 |
| Ebola virus-infected pigs | 0.428911 |
| previous Ebola outbreaks | 0.438003 |
| Ebola | 0.90223 |
|
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| 12312 |
Centers for Disease Control and Prevention |
Html |
en |
Choose a Healthy Lifestyle | CDC Features |
In honor of National Birth Defects Prevention Month, make a PACT to get healthy, physically and mentally, before and during pregnancy to increase your chances of having a healthy baby. |
| preterm birth | 0.671819 |
| healthy diet | 0.722564 |
| prevention activities | 0.64654 |
| high birth weight | 0.711015 |
| basic health guidelines | 0.707827 |
| National Birth Defects | 0.760857 |
| Hemoglobin A1c level | 0.692282 |
| major birth defects | 0.762687 |
| healthy lifestyle | 0.786506 |
| pregnancy | 0.706183 |
| daily life | 0.647872 |
| Preconception care | 0.654844 |
| regular physical activity | 0.692067 |
| direct birth | 0.662602 |
| brisk walk | 0.706106 |
| special care | 0.645756 |
| healthy habits | 0.747596 |
| women | 0.672115 |
| short-term dietary changes | 0.691572 |
| best ways | 0.655845 |
| Reproductive Health | 0.649401 |
| Mental health | 0.653133 |
| Eat healthy foods | 0.735891 |
| Evaluate Pregnancy exposures | 0.68646 |
| good time | 0.64783 |
|
| Birth Defects Research | 0.759805 |
| harmful substances | 0.654531 |
| best treatment | 0.645973 |
| preconception health | 0.740216 |
| gestational diabetes | 0.651273 |
| health services | 0.647719 |
| moderate aerobic activity | 0.784224 |
| CDC funds | 0.694425 |
| folic acid | 0.7189 |
| CDC research | 0.649473 |
| Birth Defects Study | 0.759329 |
| healthy pregnancies | 0.709009 |
| healthy weight | 0.718972 |
| birth defects | 0.976623 |
| healthy baby | 0.708031 |
| lean proteins | 0.648561 |
| following steps | 0.648648 |
| physical activity | 0.732236 |
| population-based tracking | 0.649408 |
| healthcare provider | 0.703133 |
| State systems | 0.645485 |
| healthy babies | 0.709425 |
| population-based methods | 0.650456 |
| low birth weight | 0.709596 |
|
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| 12471 |
Centers for Disease Control and Prevention |
Video |
en |
June 2013 ACIP Meeting -- Japanese Encephalitis |
Introduction by Dr. J Bocchini. Safety and immunogenicity of JE-VC in children by Dr. K Dubischar-Kastner. GRADE evidence for JE-VC in children, Recommendations for use by Dr. M Fischer.
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=4d51af6143d81759701246aa2400c96c20130730140630234 |
|
| Japanese Encephalitis | 0.791029 |
|
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| 13089 |
Centers for Disease Control and Prevention |
Html |
en |
Symptoms of Breast Cancer |
A list of possible breast cancer symptoms. |
| symptoms | 0.653881 |
| doctor | 0.411107 |
| warning signs | 0.505378 |
| mind | 0.348483 |
| person | 0.356627 |
|
| Different people | 0.498097 |
| different symptoms | 0.469962 |
| Inflammatory breast cancer | 0.832352 |
| breast cancer | 0.958538 |
| routine mammogram | 0.575555 |
|
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| 13645 |
Centers for Disease Control and Prevention |
Html |
en |
Influenza Vaccination Coverage Among Pregnant Women - UnitedStates, 2014-15 Influenza Season |
Helen Ding, MD1; Carla L. Black, PhD2; Sarah Ball, ScD3; Sara Donahue, DrPH3; Rebecca V. Fink, MPH3; Walter W. |
| influenza infection | 0.488853 |
| influenza vaccination efficacy | 0.629448 |
| survey respondents | 0.355197 |
| influenza vaccination coverage | 0.830069 |
| health care provider | 0.383171 |
| panel members | 0.35865 |
| respondent-reported provider recommendation | 0.381063 |
| Internet panel sample | 0.350784 |
| offer | 0.360872 |
| vaccination coverage | 0.839892 |
| pregnant women | 0.759142 |
| Internet panel survey | 0.441498 |
| vaccination resistance | 0.44588 |
| pregnant woman | 0.362262 |
| vaccination status | 0.491645 |
| commonly reported reason | 0.373365 |
| flu vaccination | 0.451719 |
| Similar survey methodology | 0.352451 |
| influenza vaccine efficacy | 0.507685 |
| provider offer | 0.36026 |
| National Center | 0.351378 |
| end-of-season influenza vaccination | 0.589579 |
| reported coverage | 0.378724 |
| pregnancy | 0.348973 |
| unvaccinated women | 0.361568 |
|
| lower vaccination coverage | 0.483521 |
| influenza vaccination period | 0.583021 |
| white women | 0.375143 |
| higher vaccination coverage | 0.482491 |
| vaccination services | 0.447596 |
| previous influenza seasons | 0.433868 |
| influenza vaccination onsite | 0.562238 |
| health care | 0.389785 |
| female panel members | 0.349226 |
| influenza season | 0.545828 |
| influenza risk | 0.424803 |
| provider recommendation | 0.498181 |
| overall vaccination coverage | 0.484068 |
| incentives.* Pregnant women | 0.407967 |
| influenza vaccination | 0.98728 |
| influenza seasons | 0.44003 |
| online survey opportunities | 0.352469 |
| Survey Sampling International | 0.350811 |
| non-Hispanic white women | 0.368918 |
| Internet panel | 0.49047 |
| Non-Hispanic black women | 0.369354 |
| provider reminder systems | 0.352776 |
| opt-in Internet panel | 0.382747 |
| population Internet panel | 0.350209 |
|
CLICK HERE |