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Safe Transport in Emergencies | CDC Features |
September is National Preparedness Month. Read one family’s story to find out how emergency preparedness can affect children with special health care needs. |
| Independent Living Centers | 0.77431 |
| backup plan | 0.687985 |
| different situations | 0.678865 |
| family member | 0.659105 |
| disability services | 0.645813 |
| easy steps | 0.643644 |
| United States concerns | 0.768701 |
| Motor disabilities | 0.651038 |
| similar emergencies | 0.663934 |
| Individual assistance | 0.652253 |
| government agencies | 0.651974 |
| hard time | 0.680224 |
| local transportation | 0.660258 |
| public health emergencies | 0.776037 |
| ice storm | 0.823175 |
| accessible transportation | 0.655501 |
| special health care | 0.998459 |
| individual needs | 0.648404 |
| Cerebral means | 0.675653 |
| reliable car | 0.665776 |
| severe ice storm | 0.80352 |
| recent hurricanes | 0.647695 |
| proper medical attention | 0.794601 |
| non-profit groups | 0.651896 |
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| reliable transportation | 0.690051 |
| safe environment | 0.662844 |
| pandemic influenza | 0.650594 |
| emergency situation | 0.686933 |
| local community | 0.663773 |
| certain tasks | 0.643173 |
| natural disaster | 0.673563 |
| emergency plan | 0.68063 |
| place | 0.665743 |
| emergency services | 0.655349 |
| Mary | 0.724087 |
| evacuation plans | 0.664209 |
| wheelchair-accessible van | 0.674399 |
| common motor disability | 0.774887 |
| escape plan | 0.669508 |
| quadriplegia cerebral palsy | 0.86656 |
| community organizations | 0.657246 |
| abnormal brain development | 0.775303 |
| transportation | 0.721458 |
| unexpected events | 0.649387 |
| Family Voices | 0.660494 |
| family | 0.67737 |
| major challenges | 0.67449 |
| local fire department | 0.650661 |
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Science Clips - Monday, January 25, 2010 |
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| Physical exercise | 0.559538 |
| Consultation session | 0.570943 |
| current awareness | 0.560758 |
| ) project | 0.567789 |
| U.S. States | 0.563879 |
| indigenous populations | 0.645337 |
| rotavirus vaccines | 0.568582 |
| health topics | 0.586314 |
| Disease Control | 0.62048 |
| CDC Knowledge | 0.735845 |
| Action Science Clips | 0.98966 |
| factual accuracy | 0.559164 |
| new weekly digest | 0.635212 |
| southeast Uganda | 0.566823 |
| Recent multistate outbreaks | 0.619634 |
| Chief Science Officer | 0.629607 |
| population-based study | 0.56721 |
| DHHS | 0.569791 |
| public domain | 0.575511 |
| Stephen B. Thacker | 0.744829 |
| Silver Spring | 0.566662 |
| public health policy | 0.639371 |
| public health articles | 0.658688 |
| Biannual CDC Tribal | 0.769954 |
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| American Indians/Alaskan Natives | 0.638146 |
| human salmonella infections | 0.615101 |
| cluster-randomised equivalence trial | 0.625495 |
| facility-based HIV-care model | 0.629904 |
| virological failure | 0.564736 |
| public health | 0.752379 |
| initial bleeding episodes | 0.612459 |
| health care | 0.577412 |
| Genomic medicine | 0.565495 |
| informational purposes | 0.55501 |
| reproductive age | 0.563673 |
| public health literature | 0.629024 |
| CDC-authored publications | 0.573907 |
| B. Thacker CDC | 0.85672 |
| safer military | 0.567559 |
| Genet Med. | 0.570397 |
| original authors | 0.561935 |
| non-CDC Websites | 0.560769 |
| original sources | 0.570413 |
| public health challenge | 0.629504 |
| news sources | 0.562838 |
| racial/ethnic health disparities | 0.636516 |
| mild cognitive impairment | 0.612248 |
| Thacker CDC Library | 0.856642 |
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Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012:11_0233 |
The objective of this study was to measure and compare the weight status of American Indian and white elementary school students (kindergarten through 5th grade) from 2005 through 2009 in an Oklahoma school district. |
| elementary school students | 0.430793 |
| study | 0.417831 |
| ≥97th percentile | 0.398699 |
| white students | 0.571815 |
| weighted average RR | 0.463841 |
| United States | 0.355266 |
| Oklahoma Health Sciences | 0.47057 |
| rural environment | 0.354168 |
| Oklahoma school district | 0.353354 |
| white children | 0.517983 |
| obese children | 0.438365 |
| Health Sciences Center | 0.470132 |
| American Indian children | 0.943698 |
| BMI ≥97th percentile | 0.378082 |
| American Indian adults | 0.470423 |
| weight status | 0.814052 |
| Indian elementary school | 0.353719 |
| environmental risk factors | 0.337626 |
| BMI percentile | 0.346786 |
| overweight | 0.432522 |
| obesity | 0.376439 |
| risk factors | 0.425603 |
| greater risk | 0.355159 |
|
| obese versus | 0.388136 |
| American Indian students | 0.728085 |
| body mass index | 0.492003 |
| versus healthy weight | 0.430976 |
| binomial regression | 0.348036 |
| NHANES children | 0.344854 |
| healthy weight | 0.663462 |
| elementary schools | 0.481909 |
| study population | 0.386777 |
| American Indian/Alaska Native | 0.402876 |
| study period | 0.370104 |
| Anadarko school district | 0.414166 |
| BMI ≥95th percentile | 0.377807 |
| American children | 0.373382 |
| body mass percentile | 0.36497 |
| significantly higher risk | 0.446722 |
| Growth Charts | 0.430915 |
| white elementary school | 0.375411 |
| student weight status | 0.364837 |
| categorical weight status | 0.363162 |
| school district | 0.476755 |
| BMI ≥85th percentile | 0.377832 |
| risk | 0.512814 |
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Tobacco - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Tobacco |
| asthmatic conditions | 0.580386 |
| bone changes | 0.555933 |
| spinal-disc disease | 0.568919 |
| menopausal symptoms | 0.563581 |
| lung cancer | 0.933782 |
| current smokers | 0.669586 |
| smoking total | 0.660747 |
| mental retardation | 0.560773 |
| larynx | 0.492639 |
| children | 0.492932 |
| deadly consequences | 0.577032 |
| racial/ethnic backgrounds | 0.570848 |
| Gum disease | 0.566017 |
| clove cigarettes | 0.591573 |
| reach menopause | 0.552839 |
| Secondhand smoke | 0.646672 |
| female smokers | 0.711883 |
| preventable cause | 0.630555 |
| major cause | 0.728208 |
| tooth loss | 0.563758 |
| tobacco products | 0.996853 |
| health problems | 0.563608 |
| women | 0.493679 |
| esophageal cancer | 0.583112 |
| United States | 0.600517 |
|
| death rate | 0.590648 |
| smokers | 0.72225 |
| pregnancy increases | 0.558109 |
| sudden infant death | 0.691608 |
| permanent disabilities | 0.581804 |
| productivity losses | 0.590077 |
| heart disease | 0.733647 |
| impair blood circulation | 0.721617 |
| cardiovascular disease | 0.574521 |
| mouth cancer | 0.600807 |
| adult smokers | 0.679761 |
| cigarettes-including cyanide | 0.593644 |
| smoking ceases | 0.627375 |
| environmental tobacco smoke | 0.910123 |
| birth defects | 0.554276 |
| people | 0.494821 |
| younger age | 0.55265 |
| smokeless tobacco | 0.816278 |
| excess medical costs | 0.750401 |
| premature delivery | 0.566334 |
| cellular changes | 0.555654 |
| oral clefts | 0.564948 |
| male smokers | 0.712289 |
| low birth weight | 0.691058 |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0136 |
CDC - Wide Page example description goes here |
| diabetes tipo | 0.445224 |
| Fuerza Aérea | 0.947185 |
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MMWR News Synopsis: July 17, 2014 | CDC Media Relations | CDC |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Uganda Ministry | 0.471904 |
| Vegas tourist area | 0.445592 |
| percent | 0.33612 |
| Jennifer Sizemore | 0.346357 |
| appropriate management | 0.274013 |
| Nodding Syndrome | 0.599322 |
| BACs | 0.20942 |
| pedestrian blood alcohol | 0.540087 |
| sub-Saharan Africa | 0.282404 |
| northern Uganda | 0.584401 |
| systematic assessment | 0.274521 |
| collision sites | 0.496778 |
| U.S. DEPARTMENT | 0.275011 |
| future studies | 0.271225 |
| probable cases | 0.426336 |
| northeast Las Vegas | 0.44301 |
| Las Vegas | 0.472148 |
| geographic locations | 0.288917 |
| newly developed consensus | 0.420592 |
|
| pedestrian risks | 0.389386 |
| pedestrian death rates | 0.778483 |
| Study results | 0.289005 |
| Clark County | 0.288218 |
| urban areas | 0.289579 |
| cohesive strategy | 0.283999 |
| treatment effectiveness | 0.26794 |
| visitors | 0.26738 |
| pedestrian traffic deaths | 0.586919 |
| public health problem | 0.432414 |
| homeless persons | 0.953388 |
| case definition | 0.269024 |
| Southern Nevada Health | 0.504567 |
| health-care resources | 0.285063 |
| sizemore@snhdmail.org | 0.344691 |
| residents | 0.267233 |
| HUMAN SERVICES | 0.274743 |
| CDC Media Relations | 0.460039 |
| Public Information Officer | 0.481943 |
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¿Sabe qué es la talasemia? |
La talasemia es una enfermedad grave que puede causar daño a los órganos e incluso la muerte. Obtenga más información sobre los problemas relacionados con la salud, el tratamiento, el trabajo de los CDC y lo que usted puede hacer para ayudar. |
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Notes from the Field: Silicosis in a Countertop Fabricator -Texas, 2014 |
Gary K. Friedman, MD1, Robert Harrison, MD2, Heidi Bojes, PhD3, Karen Worthington, MS4, Margaret Filios, MSc5 (Author affiliations at end of text). |
| large opacity Category | 0.501598 |
| mediastinal adenopathy | 0.417728 |
| 4New Jersey Department | 0.496175 |
| pulmonary hypertension | 0.426689 |
| Kenneth D. Rosenman | 0.485153 |
| Margaret Filios | 0.517788 |
| North America | 0.415519 |
| Robert Harrison | 0.419593 |
| middle lobe | 0.507944 |
| local exhaust ventilation | 0.478638 |
| Michigan State University | 0.491162 |
| silicosis cases | 0.490986 |
| quartz surfacing materials | 0.96796 |
| Health care providers | 0.525815 |
| Gary K. Friedman | 0.528717 |
| Hispanic male | 0.419373 |
| Karen Worthington | 0.417937 |
| personal protective equipment | 0.478328 |
| popular countertop materials | 0.528294 |
| possible lung transplantation | 0.501804 |
| Heidi Bojes | 0.424231 |
| Pulmonary function studies | 0.524498 |
| Texas Department | 0.43625 |
| state public health | 0.532959 |
| primary care provider | 0.512582 |
|
| right ventricular hypertrophy | 0.514372 |
| change post bronchodilator | 0.517241 |
| State Health Services | 0.723048 |
| assess silica exposures | 0.637919 |
| Occupational Safety | 0.57627 |
| progressive massive fibrosis | 0.522471 |
| 2-year history | 0.419782 |
| persistent cough | 0.416992 |
| Respiratory Disease Studies | 0.486842 |
| National Institute | 0.477301 |
| stone countertop company | 0.543569 |
| right-sided inspiratory wheeze | 0.519018 |
| reduced diffusion capacity | 0.498233 |
| silica exposure | 0.710552 |
| Author affiliations | 0.423283 |
| pulmonary disease | 0.433419 |
| crystalline silica.* | 0.417336 |
| high exposures | 0.423966 |
| large opacities | 0.434745 |
| silica dust exposure | 0.853337 |
| q/r bilateral upper | 0.511316 |
| silica hazards | 0.524964 |
| lung transplantation | 0.511519 |
| chest radiograph | 0.427076 |
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Notes from the Field: Mycobacterium chelonae Eye InfectionsAssociated with Humidifier Use in an Outpatient LASIK Clinic -Ohio, 2015 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| County Health Department | 0.727159 |
| Eric Zgodzinski | 0.627819 |
| LASIK eye surgery | 0.834581 |
| similar humidifier systems | 0.738992 |
| control guidance states | 0.679257 |
| Zoonotic Infectious Diseases | 0.679525 |
| laboratory-confirmed M. chelonae | 0.707384 |
| dry inlet air | 0.69249 |
| eye pain | 0.706733 |
| operating room | 0.805118 |
| Larry Vasko | 0.619393 |
| American National Standards | 0.677628 |
| LASIK surgery | 0.717233 |
| CDC environmental infection | 0.728597 |
| water contamination | 0.618038 |
| air output vents | 0.690974 |
| Heather Moulton-Meissner | 0.614996 |
| vision irregularities | 0.615768 |
| water reservoir | 0.696543 |
| health care facilities | 0.701551 |
| retail humidifiers | 0.711338 |
| health care settings | 0.696809 |
| Samantha Eitniear | 0.618387 |
| Joseph F. Perz | 0.719977 |
| LASIK procedures | 0.983209 |
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| Public Health | 0.765249 |
| United States | 0.619128 |
| 3Toledo-Lucas County Department | 0.687888 |
| reservoir style humidifiers | 0.816552 |
| Pulsed-field gel electrophoresis | 0.681177 |
| Mycobacterium chelonae | 0.618885 |
| Healthcare Quality Promotion | 0.681876 |
| centralized air handling | 0.691201 |
| internal reservoir | 0.633799 |
| Ohio Department | 0.61627 |
| Air-Conditioning Engineers/American Society | 0.677252 |
| additional LASIK clinics | 0.768237 |
| humidifier isolate | 0.672077 |
| situ keratomileusis | 0.618529 |
| TLCHD staff | 0.710012 |
| air handling units | 0.686875 |
| ventilation guidelines state | 0.67343 |
| David Grossman | 0.619301 |
| ambulatory surgery center | 0.711909 |
| M. chelonae | 0.802097 |
| Alison Laufer Halpin | 0.729482 |
| consumer-grade misting humidifier | 0.780077 |
| 2Epidemic Intelligence Service | 0.681036 |
| operating room environment | 0.688047 |
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Sleep Duration and Injury-Related Risk Behaviors Among HighSchool Students - United States, 2007-2013 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| complex survey design | 0.473092 |
| National Sleep Foundation | 0.617784 |
| sleep duration | 0.820892 |
| bad sleep environment | 0.546223 |
| drinking driver | 0.582949 |
| poor sleep hygiene | 0.542832 |
| pairwise t-tests | 0.468856 |
| National Center | 0.477337 |
| school start times | 0.471965 |
| good sleep hygiene | 0.547777 |
| Indian/Alaska Native students | 0.490222 |
| sleep problems | 0.542011 |
| adolescent risk behaviors | 0.499314 |
| insufficient sleep | 0.967271 |
| self-reported sleep duration | 0.604283 |
| risky behavioral choices | 0.468486 |
| U.S. high school | 0.495205 |
| injury-related behavior | 0.490036 |
| public health practice | 0.479705 |
| high school program | 0.48035 |
| survey | 0.478206 |
| linear trend | 0.466519 |
| sleep durations | 0.529177 |
| mean sleep duration | 0.583824 |
| infrequent seatbelt | 0.686103 |
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| monitors health-risk behaviors | 0.491262 |
| single class period | 0.466989 |
| referent sleep duration | 0.583055 |
| national Youth Risk | 0.495069 |
| average school night | 0.707326 |
| prevalence risk behaviors | 0.514818 |
| Unadjusted prevalence | 0.47494 |
| three-stage cluster sample | 0.467433 |
| private high schools | 0.473131 |
| High school faculty | 0.496204 |
| adequate sample size | 0.470887 |
| school nights | 0.479757 |
| infrequent bicycle helmet | 0.709195 |
| high school students | 0.759621 |
| sleep objective | 0.533111 |
| drowsy driving crashes | 0.48994 |
| insufficient sleep duration | 0.653291 |
| sleep disorder | 0.520998 |
| unintentional injury | 0.511061 |
| injury-related risk behaviors | 0.948614 |
| sleep duration recommendation | 0.582498 |
| adolescent injury-related behavior | 0.483121 |
| sleep hygiene | 0.551171 |
| motor vehicle crashes | 0.532887 |
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