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Birth Defects - Facts |
CDC works to identify causes of birth defects and opportunities to prevent them. By applying a public health approach incorporating three essential elements—surveillance or disease tracking, research to identify causes, and prevention research and programs—we can rapidly translate scientific findings into appropriate public health interventions. |
| CDC’s research | 0.344192 |
| Page | 0.357408 |
| body | 0.341253 |
| important stage | 0.347912 |
| cleft lip | 0.350727 |
| State birth defects | 0.466498 |
| things | 0.330577 |
| local resources | 0.345891 |
| special tests | 0.347195 |
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| risk factors | 0.342568 |
| genetic counselors | 0.343345 |
| pregnancy | 0.410094 |
| over-the-counter medications | 0.344354 |
| prenatal care | 0.343468 |
| chances | 0.322723 |
| medical conditions | 0.389199 |
| special care | 0.340849 |
| herbal supplements | 0.342742 |
| year.1 Read | 0.356277 |
| child | 0.327775 |
| women | 0.320497 |
| Early intervention | 0.343939 |
|
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| United States | 0.400605 |
| babies | 0.341091 |
| structural changes | 0.355576 |
| critical conditions | 0.353955 |
| ultrasound picture | 0.349769 |
| drinking alcohol | 0.343766 |
| street | 0.318733 |
| birth defect | 0.789869 |
| fetal alcohol syndrome | 0.386369 |
| certain medications | 0.344337 |
| folic acid | 0.345591 |
| older mother | 0.345813 |
| organs | 0.317794 |
| expected lifespan | 0.351977 |
| birth defects | 0.958709 |
| severe acne | 0.345949 |
| healthy baby | 0.344113 |
| certain medical conditions | 0.381341 |
| doctor | 0.33011 |
| healthcare provider | 0.391065 |
| baby | 0.383219 |
| complex mix | 0.347967 |
| information | 0.318818 |
|
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Seasonal Influenza Vaccine Supply and Distribution in the United States |
Information about the current flu vaccine supply in the United States, vaccine stockpile, manufacturing, distribution, shipments - CDC |
| unpredictable nature | 0.24981 |
| 2014-15 Influenza Season | 0.390105 |
| private provider offices | 0.29121 |
| comparable timeframe | 0.253596 |
| vaccine distribution | 0.387346 |
| influenza disease activity | 0.393596 |
| prior influenza seasons | 0.40268 |
| Page | 0.256735 |
| medical products | 0.247866 |
| vaccine production delays | 0.447152 |
| Program funds | 0.254352 |
| biologics production | 0.252023 |
| high risk patients | 0.289614 |
| national data | 0.249014 |
| retail settings | 0.248212 |
| continuous supply | 0.246685 |
| influenza vaccine | 0.905604 |
| upcoming season | 0.264702 |
| distribution strategy | 0.293389 |
| wide variety | 0.250008 |
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| health status | 0.248533 |
| influenza vaccine supply | 0.568294 |
| broadest possible access | 0.292263 |
|
| influenza vaccine production | 0.686426 |
| new formulation | 0.258622 |
| demand varies | 0.262456 |
| production line | 0.256868 |
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| primary reason | 0.2473 |
| United States | 0.300897 |
| limited quantity | 0.253667 |
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| vaccination activities | 0.263326 |
| late season vaccination | 0.316578 |
| influenza vaccine manufacturers | 0.678438 |
| senior centers | 0.249851 |
| influenza vaccine stockpile | 0.542211 |
| urgent supply problems | 0.299507 |
| influenza vaccines | 0.364536 |
| present time | 0.251097 |
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| influenza vaccination season | 0.490638 |
| peak demand | 0.253392 |
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|
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Global Health - South Africa - CDC's HIV Prevention Programs: Youth Prevention |
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 |
| young women | 0.440708 |
| infection rate | 0.397377 |
| new HIV infections | 0.615216 |
| male counterparts | 0.380559 |
| HIV prevention | 0.448922 |
| risky behavior | 0.389267 |
| sex education | 0.395245 |
| evidence-based intervention | 0.372347 |
| HSRC Survey | 0.384383 |
| Black African females | 0.441892 |
| youth-friendly clinics | 0.379279 |
| cross-generational sex | 0.373316 |
| multiple concurrent partners | 0.432823 |
| skills-building assistance | 0.370397 |
| sexual activity | 0.525541 |
| family members | 0.375257 |
| life skills | 0.37315 |
| program targets | 0.372878 |
| youth centers | 0.379847 |
| lower HIV incidence | 0.6632 |
| teenage population | 0.376514 |
| considerably lower HIV | 0.651683 |
| HIV incidence rate | 0.972181 |
| Hilda Maringa | 0.384741 |
|
| Health messages | 0.37061 |
| National Strategic Plan | 0.43183 |
| mentor peers | 0.373754 |
| HIV prevalence | 0.457253 |
| safe environment | 0.375093 |
| community based organizations | 0.427989 |
| sexual partner | 0.443398 |
| relevant provincial governments | 0.428378 |
| U.S.-based Families | 0.378322 |
| National nongovernmental organizations | 0.430907 |
| youth age | 0.376472 |
| black cultures | 0.383017 |
| curriculum-based HIV education | 0.505744 |
| skills-based HIV education | 0.51162 |
| peer education | 0.371833 |
| analyzed population groups | 0.443015 |
| rape counseling | 0.370613 |
| HIV youth prevention | 0.520478 |
| out-of-school youth | 0.385626 |
| highest incidence | 0.405401 |
| best practices | 0.370344 |
| survey participants | 0.44718 |
| CDC South Africa | 0.9393 |
| nationwide pilot | 0.375959 |
|
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Violence Prevention - Injury Center - CDC - DELTA - Funded Programs |
null |
| Law Enforcement Act | 0.426696 |
| DELTA PREP project | 0.434359 |
| first-time male perpetration | 0.380402 |
| CDC | 0.41798 |
| state domestic violence | 0.894464 |
| first-time perpetration | 0.391799 |
| IPV | 0.555809 |
| primary prevention work | 0.397691 |
| domestic violence coalition | 0.430443 |
| primary prevention plan | 0.401981 |
| DELTA PREP | 0.506496 |
| teen dating violence | 0.419401 |
| community level efforts | 0.386331 |
| Coordinated Community Responses | 0.379264 |
| common couple violence | 0.422987 |
| Violent Crime Control | 0.427794 |
| Family Violence Prevention | 0.505199 |
| community level | 0.401297 |
| DELTA Program | 0.578282 |
| state-level domestic violence | 0.444022 |
| mutual respect | 0.426372 |
| community | 0.402075 |
| PREP project coalitions | 0.404814 |
| local nonprofit organization | 0.380484 |
|
| primary prevention resources | 0.40061 |
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| prevention strategies | 0.527049 |
| IPV prevention capacity | 0.417743 |
| first-time victimization | 0.385345 |
| primary prevention principles | 0.455848 |
| domestic violence coalitions | 0.946791 |
| episodic violence | 0.450686 |
| DELTA Program state | 0.401448 |
| IPV primary prevention | 0.465022 |
| Domestic Violence Prevention | 0.482685 |
| primary prevention | 0.694635 |
| Violence Prevention Services | 0.472154 |
| DELTA Program funds | 0.387726 |
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| community demonstration projects | 0.378968 |
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| DELTA PREP coalitions | 0.417487 |
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| comprehensive prevention strategies | 0.405661 |
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CDC - About Us - Healthy Aging |
The Healthy Aging Program serves as the focal point at CDC for efforts to promote the health and quality of life of older Americans. |
| data | 0.231196 |
| CDC’s National | 0.502047 |
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| older adult health | 0.679695 |
| programs | 0.233011 |
| prevention research | 0.499527 |
| web-based tools | 0.400865 |
| mobility | 0.23149 |
| Congressionally-supported Healthy Brain | 0.605984 |
| Collect | 0.230725 |
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|
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| older adults | 0.836674 |
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| public health action | 0.61241 |
|
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Heat Illness and Deaths - New York City, 2000-2011 |
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. |
| general NYC population | 0.361337 |
| excessive natural heat | 0.369493 |
| death certificate data | 0.4225 |
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| NYC residents | 0.477904 |
| medical examiner | 0.588359 |
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| New York City | 0.66197 |
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| air conditioner | 0.464758 |
| Chief Medical Examiner | 0.457677 |
| heat stroke | 0.357987 |
| deaths | 0.432881 |
| NYC Community Health | 0.45884 |
| NYC hyperthermia decedents | 0.589851 |
| neighborhood poverty | 0.453446 |
| NYC Department | 0.446359 |
| heat index | 0.388728 |
| Health hyperthermia investigation | 0.376742 |
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| NYC emergency departments | 0.390878 |
|
| extreme weather event | 0.385152 |
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| hyperthermia deaths | 0.383736 |
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| air conditioning | 0.741215 |
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| T. Summer heat | 0.352252 |
| extreme heat | 0.423992 |
| NYC adults | 0.382953 |
| hospital data | 0.361334 |
| heat wave | 0.42307 |
| additional heat-related deaths | 0.37827 |
| Health Survey.§ Air | 0.36132 |
| American Community Survey | 0.38057 |
| Chicago heat wave | 0.352092 |
| heat emergency response | 0.352805 |
| multifamily apartment buildings | 0.37051 |
| mental health conditions | 0.64655 |
|
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Driving Among High School Students - United States,2013 |
Ruth A. Shults, PhD1, Emily Olsen, MSPH2, Allan F. Williams, PhD3 (Author affiliations at end of text). |
| shorter travel distances | 0.344726 |
| F. Williams | 0.374528 |
| data | 0.370361 |
| Allan F. Williams | 0.368836 |
| white students | 0.517127 |
| school district level | 0.384598 |
| public school students | 0.439347 |
| 18th birthday | 0.420703 |
| New York City | 0.353223 |
| urban school districts | 0.842083 |
| percentage | 0.497049 |
| black students | 0.386397 |
| overall response rates | 0.472871 |
| high school–aged youths | 0.342495 |
| school district YRBSs | 0.389665 |
| potential ways | 0.364113 |
| potential safety benefits | 0.341724 |
| two-stage cluster samples | 0.355817 |
| complex sample designs | 0.358611 |
| U.S. high school | 0.648274 |
| independent driving | 0.389916 |
| teenage novice drivers | 0.49715 |
| youngest teenage drivers | 0.396412 |
| alternative transportation options | 0.353861 |
|
| private school students | 0.524309 |
| older teenage novice | 0.485974 |
| large urban school | 0.973212 |
| affordable transportation options | 0.489105 |
| Ruth A. Shults | 0.521039 |
| high school seniors | 0.377532 |
| states | 0.497327 |
| Hispanic students | 0.479778 |
| national Youth Risk | 0.378477 |
| GDL programs | 0.354003 |
| three-stage cluster sample | 0.360101 |
| urban school district | 0.521164 |
| independently.¶ Chi-square tests | 0.355942 |
| mountain states | 0.456322 |
| west coast states | 0.364653 |
| metropolitan areas | 0.344451 |
| passenger vehicle drivers | 0.393645 |
| South Dakota | 0.368264 |
| high school students | 0.80158 |
| cross-sectional data | 0.365319 |
| overall response rate.§ | 0.356551 |
| usable sample size | 0.360907 |
| large urban schools | 0.352277 |
| low income | 0.346883 |
|
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Progress Toward Polio Eradication - Worldwide,2014-2015 |
José E. Hagan, MD1,2; Steven G.F. |
| global polio eradication | 0.412012 |
| supplementary immunization activities | 0.275203 |
| Pakistan Federally Administered | 0.271989 |
| poliovirus transmission | 0.39468 |
| multiple targeted SIAs | 0.276356 |
| OPV doses | 0.297872 |
| routine immunization | 0.329626 |
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| Central Africa | 0.302407 |
| global WPV transmission | 0.344522 |
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| World Health Organization | 0.362016 |
| WPV importation | 0.286778 |
| AFP surveillance quality | 0.260767 |
| WPV cases | 0.90822 |
| AFP surveillance | 0.414136 |
| indigenous Afghanistan WPV | 0.331337 |
| global public health | 0.268572 |
| major Pakistan provinces | 0.255409 |
| new WPV case | 0.312098 |
| polio-endemic countries | 0.255729 |
| large-scale door-to-door immunization | 0.269138 |
|
| indigenous WPV transmission | 0.29857 |
| Afghanistan | 0.383424 |
| polio eradication | 0.445775 |
| global poliovirus transmission | 0.261062 |
| cVDPV cases | 0.247335 |
| routine polio immunization | 0.30623 |
| Middle East | 0.307483 |
| polio eradication program | 0.271227 |
| Pakistan | 0.470392 |
| undetected WPV circulation | 0.280446 |
| polio-free countries | 0.681945 |
| endemic WPV transmission | 0.307961 |
| public health emergency | 0.257551 |
| Nigeria | 0.339571 |
| 2Global Immunization Division | 0.253766 |
| interrupt cVDPV2 transmission | 0.246574 |
| WPV type | 0.317676 |
| World Health Assembly | 0.35904 |
| Polio cases | 0.296974 |
| routine immunization programs | 0.281701 |
| JosУЉ E. Hagan | 0.364815 |
| Global Polio Laboratory | 0.296134 |
| WPV case | 0.397889 |
| WPV transmission | 0.385583 |
|
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La vida con los TEAF: en las palabras de Taylor | Especiales CDC |
El 9 de septiembre es el Día Internacional de Concientización sobre los Trastornos del Espectro Alcohólico Fetal. Lea la historia de Taylor, un inspirador joven que vive con un TEAF. |
| Washington DC | 0.515853 |
| Espectro Alcohólico Fetal | 0.807662 |
| Alcohólico Fetal | 0.95902 |
| Instituto Kennedy Krieger | 0.628265 |
|
| First Offender Program | 0.671181 |
| Organización Nacional | 0.508829 |
| Taylor Allen | 0.659038 |
| SÃndrome Alcohólico Fetal | 0.723774 |
|
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Notes from the Field | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| symptomatic patient encounters | 0.578727 |
| EKC transmission prevention | 0.760144 |
| common surface disinfectants | 0.557616 |
| urban ophthalmology practice | 0.581875 |
| symptom onset | 0.554736 |
| York State Department | 0.673065 |
| practice-associated cases | 0.556482 |
| symptomatic staff members | 0.566864 |
| 2West Virginia Bureau | 0.54499 |
| Eye care providers | 0.542386 |
| effective control measures | 0.556304 |
| 4Kanawha-Charleston Health Department | 0.596622 |
| EKC cases | 0.707462 |
| New York State | 0.54367 |
| HAdV molecular serotyping | 0.557432 |
| patient education | 0.548296 |
| health care settings | 0.704967 |
| 3Public Health Associate | 0.570202 |
| practice staff members | 0.565276 |
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| hospital virology laboratory | 0.545447 |
| Public Health | 0.626372 |
| Health Department Division | 0.603006 |
| West Virginia Bureau | 0.693376 |
| conjunctival swab specimens | 0.728738 |
|
| infection control | 0.608739 |
| local health department | 0.845491 |
| foreign body sensation | 0.543062 |
| West Virginia | 0.824676 |
| EKC diagnosis | 0.687121 |
| site visits | 0.54258 |
| local health advisory | 0.607636 |
| infection control policy | 0.577708 |
| EKC | 0.941621 |
| symptomatic patients | 0.581086 |
| EKC outbreaks | 0.745444 |
| hamper outbreak prevention | 0.566392 |
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| medical record review | 0.546881 |
| environmental samples | 0.546476 |
| EKC outbreak toolkit | 0.74819 |
| Infectious Disease Epidemiology | 0.626869 |
| Area Medical Center | 0.627132 |
| infection control protocols | 0.567286 |
| Public Health Division | 0.583645 |
| Medical Center Infection | 0.554869 |
| control measures | 0.601673 |
| practice-associated EKC case | 0.797888 |
| Infection control procedures | 0.578928 |
|
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