| 1095 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 5702 |
Centers for Disease Control and Prevention |
Html |
en |
Paraffin wax fume - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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 |
| 8305 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
| primary prevention infrastructure | 0.398194 |
| 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 |
| DELTA Program grantees | 0.385055 |
| community demonstration projects | 0.378968 |
| intimate partnerships | 0.42861 |
| DELTA PREP coalitions | 0.417487 |
| local CCRs | 0.446406 |
| IPV Prevention Plan | 0.417442 |
| public health problem | 0.438501 |
| comprehensive prevention strategies | 0.405661 |
| intimate partner violence | 0.572927 |
| DELTA Program funding | 0.391853 |
|
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| 9199 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 10061 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 12457 |
Centers for Disease Control and Prevention |
Video |
en |
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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| 12832 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 13050 |
Centers for Disease Control and Prevention |
Html |
en |
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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Centers for Disease Control and Prevention |
Html |
en |
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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Notes from the Field: Botulism Outbreak from DrinkingPrison-Made Illicit Alcohol in a Federal Correctional Facility -Mississippi, June 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Oklahoma City | 0.6746 |
| CDC | 0.690849 |
| Strategic National Stockpile | 0.664234 |
| 3Mississippi State Department | 0.681849 |
| Zoonotic Infectious Diseases | 0.806751 |
| routine inmate transfers | 0.696564 |
| intensive care unit | 0.663755 |
| drinking hooch | 0.752648 |
| 7Integris Southwest Medical | 0.669658 |
| National Center | 0.720799 |
| hooch consumption | 0.835287 |
| botulism outbreak | 0.678227 |
| National Basketball Association | 0.670521 |
| correctional facility staff | 0.664302 |
| sealed plastic bag | 0.656212 |
| State Department | 0.902036 |
| facility staff members | 0.769059 |
| cranial nerve palsy | 0.80395 |
| Environmental Diseases | 0.663118 |
| alcoholic beverage | 0.682494 |
| Mississippi State Department | 0.863421 |
| Health Central Medical | 0.698646 |
| Mississippi Poison Control | 0.725199 |
| botulism | 0.700838 |
| Integris Southwest Medical | 0.676509 |
|
| hooch | 0.891034 |
| 1Epidemic Intelligence Service | 0.65436 |
| Clostridium botulinum | 0.703841 |
| mechanical ventilation | 0.675867 |
| original MMWR paper | 0.657983 |
| hooch exposure dates | 0.852876 |
| cranial nerve complaints | 0.665922 |
| Mississippi Medical Center | 0.829305 |
| federal correctional institution | 0.683394 |
| State Health Services | 0.693344 |
| Medical Center | 0.876296 |
| Public Health Department | 0.697362 |
| Medical chart abstractions | 0.68484 |
| inmates | 0.673165 |
| Southwest Medical Center | 0.816547 |
| fatal neuroparalytic illness | 0.717325 |
| Baptist Medical Center | 0.693549 |
| consuming hooch | 0.748851 |
| hooch exposure | 0.85722 |
| intensive care | 0.673857 |
| stool specimen | 0.670999 |
| Oklahoma State Department | 0.856504 |
| Territorial Epidemiologists definitions | 0.671511 |
| Public Health Preparedness | 0.677392 |
|
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