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Centers for Disease Control and Prevention |
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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 |
| past research | 0.346839 |
| uncontrolled diabetes | 0.346052 |
| heart defects | 0.423312 |
| 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 |
|
| genetic counselor | 0.345067 |
| 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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Centers for Disease Control and Prevention |
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Vision, Duty and Confidence Creates a No-miss Laboratory |
Vision, Duty and Confidence Creates a No-miss Laboratory; Dr. Tanja Popovic recalls her involvement in the anthrax attacks in 2001. |
| Tanja Popovic | 0.679422 |
| CDC | 0.712268 |
| CDC laboratory community | 0.622885 |
| Brad Perkins | 0.429582 |
| small team | 0.42839 |
| Health Department laboratory | 0.581905 |
| Phil Lee | 0.44041 |
| naturally occurring event | 0.512459 |
| laboratory scientist | 0.456524 |
| young children | 0.435228 |
| state-of-the-art lab | 0.445049 |
| new assignment | 0.43522 |
| seemingly insignificant task | 0.558268 |
| standardized protocol | 0.434999 |
| air vent filter | 0.519522 |
| CDC leadership | 0.540291 |
| anthrax | 0.951701 |
| intense work | 0.444498 |
| simple tool | 0.430263 |
| uncompromising precision | 0.452918 |
| lab work | 0.445744 |
| public health laboratories | 0.53966 |
| United States laboratories | 0.545368 |
| anthrax patient | 0.633385 |
| intentional release | 0.452977 |
|
| United States | 0.726204 |
| multiple agents | 0.431479 |
| Popovic | 0.817713 |
| inhalation anthrax | 0.71522 |
| anthrax case | 0.708582 |
| lab specimens | 0.462072 |
| dedicated people | 0.431395 |
| public health community | 0.530929 |
| polymerase chain reaction—a | 0.539014 |
| final laboratory confirmation | 0.557744 |
| Popovic wishes | 0.605665 |
| public health | 0.76646 |
| CDC team | 0.553185 |
| laboratory expertise | 0.442246 |
| bioterrorism attack | 0.434481 |
| important component | 0.438951 |
| highly prized experts | 0.567755 |
| anthrax letters | 0.659075 |
| seasoned scientist | 0.43143 |
| leading role | 0.449811 |
| lab techniques | 0.446582 |
| incredible news | 0.452506 |
| moist swabs | 0.431062 |
| dead end | 0.559565 |
|
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Centers for Disease Control and Prevention |
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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 |
| mental health disorders | 0.361332 |
| peak heat index | 0.364402 |
| NYC residents | 0.477904 |
| medical examiner | 0.588359 |
| heat illness | 0.923301 |
| New York City | 0.66197 |
| extreme heat event | 0.368569 |
| maximum heat indices | 0.360516 |
| medical examiner records | 0.495136 |
| 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 |
| hotter heat waves | 0.396814 |
| heat exposure | 0.351858 |
| NYC emergency departments | 0.390878 |
|
| extreme weather event | 0.385152 |
| heat waves | 0.659821 |
| summer heat illness | 0.389757 |
| hyperthermia deaths | 0.383736 |
| home air conditioning | 0.401083 |
| extreme heat events | 0.366923 |
| severe heat waves | 0.373781 |
| federal poverty level | 0.383595 |
| older adult population | 0.359346 |
| air conditioning | 0.741215 |
| heat illness ED | 0.401946 |
| chronic health conditions | 0.367258 |
| 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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Breastfeeding: Data: HealthStyles Survey - Breastfeeding Practices: 2013 | DNPAO | CDC |
null |
| CDC Office | 0.539757 |
| Novelli ConsumerStyles survey | 0.761964 |
| proprietary database product | 0.698798 |
| mother | 0.414416 |
| Billboards | 0.337828 |
| TV Commercial | 0.501327 |
| Infant formula | 0.500147 |
| additional information | 0.52301 |
| maternity leave | 0.503659 |
| consumer survey | 0.731997 |
| laws | 0.336721 |
| federal law | 0.507696 |
| work | 0.368422 |
| Communications | 0.338851 |
| likert scale | 0.523612 |
| outdoor posters | 0.496035 |
| Census | 0.340212 |
| chances | 0.342059 |
| Porter Novelli | 0.748249 |
| Love | 0.337379 |
| campaign | 0.335686 |
| general media habits | 0.738725 |
| Online blog | 0.497689 |
| Internet | 0.33648 |
|
| items | 0.33915 |
| child | 0.339517 |
| TV Program | 0.502068 |
| adults | 0.343033 |
| annual Healthstyles Survey | 0.713647 |
| U.S. | 0.342671 |
| web | 0.336454 |
| health orientations | 0.541442 |
| Bureau demographic characteristics | 0.736693 |
| audience analysis | 0.518976 |
| overweight | 0.345774 |
| workers | 0.336263 |
| breast milk | 0.917905 |
| private room | 0.51208 |
| Radio | 0.337612 |
| postal mail surveys | 0.738365 |
| nutritional needs | 0.51072 |
| sample | 0.343052 |
| pair | 0.343099 |
| practices | 0.342127 |
| places | 0.336759 |
| health communication planning | 0.702066 |
| DDB Needham LifeStyles | 0.732775 |
| interests | 0.342375 |
|
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Décompte descas de fièvre hémorragique à virus Ebola |
null |
| Ebola Diagnosed | 0.497795 |
| country | 0.4405 |
| cluster | 0.330786 |
| CDC | 0.33665 |
| United States | 0.387283 |
| Guinea | 0.335962 |
| ministries | 0.317985 |
| Ebola virus transmission | 0.926934 |
| Sierra Leone | 0.45589 |
| Ebola cases | 0.487728 |
| widespread transmission | 0.554076 |
| incubation periods | 0.544671 |
| current | 0.332874 |
| conjunction | 0.318256 |
| Case counts | 0.389287 |
|
| potential contacts | 0.379407 |
| World Health Organization | 0.584526 |
| Public health authorities | 0.436946 |
| Health Organization updates | 0.446709 |
| countries | 0.354404 |
| country classification | 0.431044 |
| Liberia | 0.317194 |
| Ebola patient | 0.610577 |
| new confirmed cases | 0.430564 |
| control measures | 0.450899 |
| person | 0.32738 |
| information | 0.338096 |
| U.S | 0.317747 |
| new cases | 0.368742 |
| category | 0.315598 |
|
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Outpatient and Ambulatory Care Settings | Ebola Virus Disease |
null |
| possible EVD | 0.211045 |
| hospital-based outpatient clinics | 0.343093 |
| uncertain control measures | 0.278525 |
| ambulatory surgical centers | 0.411697 |
| imaging centers | 0.221119 |
| ambulatory care settings | 0.576327 |
| public health authorities | 0.288687 |
| ambulatory behavioral health | 0.419658 |
| Ebola virus | 0.326125 |
| home health care | 0.336764 |
| urgent care centers | 0.331405 |
| staff members screen | 0.30893 |
| state health department | 0.295782 |
| unnecessary direct contact | 0.285554 |
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| dental offices | 0.215741 |
| local health departments | 0.298636 |
|
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| staff members | 0.919238 |
| health department | 0.347763 |
| outpatient setting | 0.212563 |
| ambulatory care | 0.748234 |
| ambulatory care facility | 0.366179 |
| non-hospital based clinics | 0.352266 |
| community health centers | 0.335899 |
| school health clinics | 0.337347 |
| substance abuse clinics | 0.322195 |
| rehabilitation centers | 0.22056 |
| EVD | 0.23149 |
| physician offices | 0.216721 |
| travel histories | 0.204265 |
| oncology clinics | 0.224164 |
| physical therapy | 0.218598 |
| ambulatory care staff | 0.400021 |
|
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Centers for Disease Control and Prevention |
Video |
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CDC's Program for LGBT Youth |
Dr. Howell Wechsler, Director of CDC's Division of Adolescent and School Health, discusses CDC's programs for lesbian, gay, bisexual and transgender (LGBT) youth.
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=9e3cc26bd50567f22c95db7653f4eec420000714122236499 |
| CDC | 0.800197 |
| Program | 0.333235 |
|
|
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Centers for Disease Control and Prevention |
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Hypothermia-Related Deaths - Wisconsin, 2014, and UnitedStates, 2003-2013 |
Jon Meiman, MD1,2, Henry Anderson, MD2, Carrie Tomasallo, PhD2 (Author affiliations at end of text). |
| 1Epidemic Intelligence Service | 0.543061 |
| drug intoxication | 0.689657 |
| hazardous weather situations | 0.537354 |
| United States | 0.769123 |
| excessive natural cold | 0.549004 |
| ambient temperature | 0.658038 |
| cause | 0.618619 |
| weather-related death | 0.557357 |
| hypothermia worsens | 0.620262 |
| blood alcohol level | 0.565866 |
| multiple comorbid conditions | 0.561699 |
| medical examiner | 0.559864 |
| older persons | 0.548492 |
| severe hypothermia | 0.608506 |
| Wisconsin Division | 0.571624 |
| motor vehicle breakdowns | 0.541887 |
| hypothermia-related deaths | 0.970368 |
| contributing cause | 0.584127 |
| severe weather events | 0.543339 |
| public health | 0.626666 |
| Wisconsin hypothermia-related deaths | 0.58863 |
| statistically significant increase | 0.53786 |
| Key risk factors | 0.571814 |
| risk factors | 0.654425 |
|
| environmental hypothermia | 0.804546 |
| mental illness | 0.646902 |
| unadjusted annual rates | 0.550221 |
| decedents | 0.605065 |
| national mortality trends | 0.562444 |
| record low temperatures | 0.573323 |
| medical examiner investigations | 0.550269 |
| suitable clothing | 0.557158 |
| Jon Meiman | 0.568673 |
| body cavity lavage | 0.543713 |
| internal warming methods | 0.540859 |
| mild hypothermia | 0.610342 |
| publically available warming | 0.54652 |
| fine motor skills | 0.543245 |
| principal psychoactive ingredient | 0.544682 |
| death rates | 0.532578 |
| death records | 0.555771 |
| death investigation | 0.774635 |
| fatal hypothermia | 0.614434 |
| active surveillance | 0.58328 |
| obstructive pulmonary disease | 0.554793 |
| core body temperature | 0.87439 |
| local health agencies | 0.706028 |
|
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BRCA Gene Mutations |
When a mutation occurs in the BRCA genes, these genes can no longer do their job and cells are more likely to divide and change rapidly, which can lead to cancer. |
| woman | 0.322185 |
| United States | 0.530741 |
| Ashkenazi Jewish heritage | 0.524355 |
| father | 0.321529 |
| higher breast cancer | 0.517804 |
| changes | 0.348402 |
| United States population | 0.493695 |
| BRCA1 | 0.405282 |
| mother | 0.321057 |
| ways | 0.339061 |
| BRCA2 gene mutation | 0.901159 |
| visit Breast Cancer | 0.520096 |
| PDQ | 0.326935 |
| BRCA2 genes | 0.449612 |
| increased risk | 0.410676 |
| higher risk | 0.410212 |
| breast cancer prevention | 0.516622 |
|
| chance | 0.322829 |
| ovarian cancer | 0.510586 |
| genes | 0.483532 |
| gene mutation | 0.932263 |
| breast cancer | 0.719857 |
| Certain mutations | 0.449446 |
| groups | 0.322538 |
| general U.S. population | 0.494603 |
| doctor | 0.339117 |
| cells | 0.323729 |
| BRCA gene mutation | 0.651284 |
| family history | 0.495029 |
| BRCA genes | 0.460046 |
| cancers | 0.324715 |
| time | 0.344486 |
| job | 0.325716 |
|
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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 |
| poliovirus transmission season | 0.266495 |
| Central Africa | 0.302407 |
| global WPV transmission | 0.344522 |
| previously polio-free countries | 0.591972 |
| routine immunization services | 0.258172 |
| polio eradication effort | 0.273402 |
| 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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