| 663 |
Centers for Disease Control and Prevention |
Html |
en |
Bidis and Kreteks - Smoking & Tobacco Use |
Tobacco Industry and Products Fact Sheets. |
| Mortality Weekly Report | 0.736921 |
| reduced oxygen absorption | 0.46092 |
| nicotine addiction | 0.411423 |
| Tobacco Control Act | 0.611152 |
| conventional cigarettes | 0.418918 |
| lung cancer | 0.437099 |
| Disease Control | 0.52913 |
| oral cancer | 0.475271 |
| Yusuf S. Risk | 0.466429 |
| World Health Organization | 0.621106 |
| Clove Cigarette Smoking | 0.537694 |
| Occupational Lung Diseases | 0.462932 |
| Risk Factors | 0.459423 |
| High School Students—United | 0.725188 |
| carbon monoxide | 0.489706 |
| bidi smoking | 0.968962 |
| Bidi Cigarettes | 0.670044 |
| long-term health effects | 0.643066 |
| Nov | 0.624469 |
| Southeast Asian countries | 0.48994 |
| International Journal | 0.447961 |
| combustible tobacco product | 0.517574 |
| Family Smoking Prevention | 0.536764 |
| U.S. middle school | 0.485032 |
|
| Fukui T. Bidi | 0.800783 |
| acute lung injury | 0.49234 |
| S. Bidi Smoking | 0.684593 |
| Bidi Cigarette | 0.568238 |
| United States.1,3,5,6 | 0.410967 |
| hand-rolled cigarettes | 0.426767 |
| flavored cigarettes | 0.412101 |
| Regular kretek smokers | 0.474755 |
| School Students—United States | 0.723091 |
| Tobacco Research. | 0.423906 |
| Carbon Monoxide Yields | 0.459948 |
| high school students | 0.481784 |
| kretek smoking | 0.511201 |
| middle school males | 0.485466 |
| lung problems | 0.415878 |
| T. Bidi Smoking | 0.835199 |
| bidis | 0.515884 |
| relative standard error | 0.459828 |
| stomach cancer | 0.412786 |
| low prevalence | 0.490352 |
| research studies | 0.48493 |
| coronary heart disease | 0.477084 |
| adverse health conditions | 0.496028 |
| abnormal lung function | 0.489677 |
|
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| 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 |
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| 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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| 5752 |
Centers for Disease Control and Prevention |
Html |
en |
Methyl formate - 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 |
| 8810 |
Centers for Disease Control and Prevention |
Html |
en |
Naegleria fowleri - Images of Naegleria fowleri |
Information for health professionals about Naegleria fowleri. Education and information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals. |
| large numbers | 0.352042 |
| arrows | 0.310526 |
| section | 0.329492 |
| videos | 0.310923 |
| photos | 0.310137 |
| characteristic nuclear morphology | 0.400604 |
| shipping instructions | 0.364528 |
| large cluster | 0.350598 |
| CDC Emergency Operations | 0.41789 |
| real-time | 0.3108 |
| cerebral portion | 0.414138 |
| wet mount | 0.357582 |
| contact | 0.311015 |
| specimen collection guidance | 0.416747 |
| magnification | 0.43167 |
| phase contrast microscopy | 0.40793 |
| lymphocytes | 0.316101 |
| Higher magnification | 0.396906 |
| Extensive hemorrhage | 0.414053 |
| eosin | 0.318795 |
| Focal hemorrhage | 0.419633 |
| viewers | 0.310654 |
| laboratory diagnosis | 0.419395 |
| photographs | 0.310917 |
| Naegleria fowleri trophozoites | 0.96664 |
|
| exciter filter | 0.355814 |
| large clusters | 0.354855 |
| 24/7 | 0.311057 |
| increased speed | 0.359511 |
| primary amebic meningoencephalitis | 0.418066 |
| Inset | 0.313369 |
| capillaries | 0.313385 |
| PAM patient | 0.467978 |
| treatment recommendations | 0.362499 |
| microscope | 0.323216 |
| frontal cortex | 0.499044 |
| Clinicians | 0.311632 |
| variety | 0.310119 |
| CSF | 0.338105 |
| cysts | 0.328578 |
| brain tissue architecture | 0.402336 |
| Naegleria fowleri trophozoite | 0.645375 |
| polymorphonuclear leukocytes | 0.362375 |
| Center | 0.310998 |
| fluorescent antibody | 0.358053 |
| nucleus | 0.311602 |
| necrosis | 0.351242 |
| diagnostic assistance | 0.364662 |
| anti-Naegleria fowleri antibody | 0.52538 |
|
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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 |
|
|
CLICK HERE |
| 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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| 13287 |
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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