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American Indians, Alaska Natives, and the Flu | CDC Features |
Vaccination against flu is especially important for American Indians and Alaska Natives, who have been found to be at higher risk for complications from the flu. Protect yourself and your community by getting a flu vaccine. |
| high rates | 0.367939 |
| influenza infection | 0.389983 |
| highest safety standards | 0.419881 |
| flu vaccine—shot | 0.560585 |
| flu vaccines | 0.631404 |
| nasal spray—does | 0.369162 |
| mild side effects | 0.36545 |
| season | 0.324557 |
| health care facility | 0.498622 |
| U.S. Food | 0.364635 |
| stuffy nose | 0.368912 |
| general U.S. population | 0.526827 |
| reduced access | 0.373031 |
| grocery stores | 0.3629 |
| Native elders | 0.371374 |
| American Indians | 0.592356 |
| economic factors | 0.370844 |
| high risk | 0.43768 |
| severe complications | 0.382257 |
| influenza | 0.404555 |
| Experts | 0.312961 |
| death | 0.312482 |
| chronic health conditions | 0.425013 |
| Vaccination | 0.354771 |
| Drug Administration | 0.366553 |
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| flu vaccine | 0.758244 |
| fewer flu illnesses | 0.63116 |
| immunity | 0.312351 |
| flu complications | 0.603469 |
| certain people | 0.373871 |
| flu-related hospitalizations | 0.379968 |
| pneumonia | 0.313865 |
| certain health conditions | 0.537822 |
| causes | 0.312487 |
| sore throat | 0.370273 |
| community-based immunization clinics | 0.420387 |
| spray flu vaccine | 0.622902 |
| higher risk | 0.376018 |
| Indian Country | 0.36563 |
| greater chance | 0.370604 |
| Alaska Natives | 0.608186 |
| sore arm | 0.369408 |
| people | 0.378314 |
| flu | 0.953727 |
| flu shot | 0.556693 |
| local health care | 0.498665 |
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| regular doctor | 0.365961 |
| ones | 0.325566 |
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Glycerin (mist) - NIOSH Pocket Guide to Chemical Hazards |
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| different file formats | 0.938484 |
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Veterans Health Activities - Gulf War Studies - Birth Defects |
CDC's National Center for Environmental Health (NCEH) has taken the lead for HHS in addressing the health concerns of veterans of the Vietnam War and the Gulf War, and NCEH is working with the Departments of Defense and Veterans Affairs to protect the health of our future military forces. |
| Gulf War veterans | 0.901558 |
| Goldenhar syndrome | 0.586491 |
| health problems | 0.212563 |
| nondeployed veterans | 0.275383 |
| National Guard Units | 0.228102 |
| Veterans Affairs | 0.226647 |
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| CDC reviewed birth | 0.216368 |
| Persian Gulf War | 0.273589 |
| low birth-weight babies | 0.223162 |
| birth defects | 0.230048 |
| Health Research Center | 0.202935 |
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Preventing Chronic Disease | State Variations of ChronicDisease Risk Factors in Older Americans - CDC |
The objective of this study was to examine and compare 3 key health behaviors associated with chronic disease (ie, risky drinking, smoking, and sedentary lifestyle). |
| North Carolina | 0.556682 |
| adverse medication interactions | 0.526167 |
| insufficient sample sizes | 0.544284 |
| Bankhead-Coley Cancer Research | 0.535744 |
| lowest prevalence | 0.580705 |
| highest prevalence | 0.681139 |
| public health resources | 0.700378 |
| National Health Interview | 0.577507 |
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| moderate physical activity | 0.573463 |
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| risk factor indicator | 0.558755 |
| complete trend analyses | 0.545379 |
| states given sample | 0.56425 |
| Miami Miller School | 0.662927 |
| weighted linear regression | 0.541204 |
| vigorous physical activity | 0.693387 |
| risky behaviors | 0.544912 |
| Kristopher L. Arheart | 0.537918 |
| older male smokers | 0.586002 |
| twofold higher mortality | 0.534413 |
| abuse treatment facility | 0.533238 |
| risky drinking | 0.919317 |
| key health behaviors | 0.728341 |
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| chronic disease | 0.72025 |
| state level | 0.558318 |
| physical activity facilities | 0.553136 |
| multistage probability household | 0.548719 |
| institutional review board | 0.542186 |
| highest smoking prevalence | 0.670909 |
| Stacey L. Tannenbaum | 0.530979 |
| small sample sizes | 0.537251 |
| physical activity recommendations | 0.561203 |
| Healthy People | 0.545583 |
| poor cardiovascular outcomes | 0.5582 |
| cardiovascular disease | 0.559401 |
| David J. Lee | 0.535079 |
| older americans | 0.933074 |
| South Dakota | 0.539542 |
| Comprehensive Cancer Center | 0.536686 |
| Cristina A. Fernandez | 0.533708 |
| Health Statistics Research | 0.568915 |
| stable estimate analysis | 0.542246 |
| physical activity | 0.854045 |
| prevalence comparisons | 0.556825 |
| Laura A. McClure | 0.529872 |
| older adults | 0.608004 |
| excessive alcohol consumption | 0.529692 |
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Announcement: Brain Injury Awareness Month - March2013 |
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. |
| mmwrq@cdc.gov. | 0.468758 |
| TBI-related hospitalization | 0.455652 |
| Human Services | 0.573324 |
| assistive technology | 0.472686 |
| U.S. Department | 0.573628 |
| MMWR HTML versions | 0.559975 |
| Brain Injury Awareness | 0.594921 |
| electronic PDF version | 0.548985 |
| youngest children | 0.455379 |
| Additional information | 0.452814 |
| rehabilitation services | 0.449694 |
| Contact GPO | 0.467345 |
| traumatic brain injury | 0.591614 |
| optimal care | 0.455865 |
| commercial sources | 0.444027 |
| current prices | 0.439155 |
| highest risk | 0.482094 |
| original paper copy | 0.555348 |
| young adults | 0.454577 |
| TBI survivors | 0.82131 |
| at-risk populations | 0.446111 |
| United States | 0.452874 |
| U.S. Government Printing | 0.561971 |
| original MMWR paper | 0.555055 |
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| age group | 0.449931 |
| life-threatening injuries | 0.451605 |
| car crash | 0.451733 |
| health-care delivery systems | 0.575922 |
| motor vehicle–related TBIs | 0.964006 |
| MMWR readers | 0.449005 |
| character translation | 0.437101 |
| primary prevention strategies | 0.572999 |
| brain injury | 0.60394 |
| normal functions | 0.451089 |
| fall-related TBIs | 0.769662 |
| public health prevention | 0.577552 |
| format errors | 0.437235 |
| scientific research | 0.457629 |
| subject line | 0.468547 |
| typeset documents | 0.443957 |
| trade names | 0.444122 |
| TBI management | 0.667792 |
| paper copy | 0.566806 |
| official text | 0.435471 |
| highest rates | 0.670435 |
| non-CDC sites | 0.442105 |
| older adults | 0.448919 |
| mild concussions | 0.466694 |
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Electronic Aggression |
Information on electronic aggression, youth violence prevention, and safe schools. |
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| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Tasas de cáncer de ovario por raza y grupo étnico |
Comparación de casos de cáncer de ovario por raza y grupo étnico. |
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| Archivo RealPlayer | 0.313279 |
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| Estados Unidos | 0.615039 |
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Preventing Chronic Disease ' Collaborative Depression Care Among Latino Patients in Diabetes Disease Management, Los Angeles, 2011"2013 - CDC |
The prevalence of comorbid diabetes and depression is high, especially in low-income Hispanic or Latino patients. The complex mix of factors in safety-net care systems impedes the adoption of evidence-based collaborative depression care and results in persistent disparities in depression outcomes. The Diabetes–Depression Care-Management Adoption Trial examined whether the collaborative depression care model is an effective approach in safety-net clinics to improve clinical care outcomes of depression and diabetes. |
| supportive care approach | 0.481558 |
| evidence-based diabetes care | 0.543186 |
| supportive care program | 0.48999 |
| depression monitoring | 0.47816 |
| specific diabetes outcomes | 0.480088 |
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| Sheehan Disability Scale | 0.490308 |
| disease management program | 0.759645 |
| diabetes disease management | 0.681059 |
| baseline characteristics | 0.481189 |
| diabetes care measures | 0.58722 |
| depression care outcomes | 0.616442 |
| depression care management | 0.626748 |
| patients | 0.618088 |
| comorbid depression | 0.480351 |
| Supportive care programs | 0.477075 |
| evidence-based depression care | 0.621773 |
| primary care settings | 0.490939 |
| care team | 0.480159 |
| severe depression | 0.486835 |
| DHS depression care | 0.57938 |
| supportive care | 0.937154 |
| care depression treatment | 0.586453 |
| usual care group | 0.613494 |
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| worse depression | 0.487963 |
| study | 0.522397 |
| evidence-based collaborative depression | 0.59354 |
| propensity scores | 0.525329 |
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| diabetes care | 0.603091 |
| diabetes patients | 0.517074 |
| depression outcomes | 0.609548 |
| depression remission | 0.528687 |
| safety-net care systems | 0.538852 |
| adaptive depression care | 0.561704 |
| safety-net primary care | 0.54502 |
| baseline PHQ-9 depression | 0.504057 |
| depression management support | 0.48865 |
| supportive care study | 0.512066 |
| diabetes care management | 0.597682 |
| depression screening | 0.476651 |
| higher scores | 0.491485 |
| protocol-driven depression care | 0.570662 |
| DHS primary care | 0.517299 |
| collaborative depression care | 0.914831 |
| diabetes supportive care | 0.567622 |
| primary care | 0.547506 |
| clinical care outcomes | 0.515759 |
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Transmisión del VIH | Información básica | VIH/SIDA | CDC |
Algunas preguntas y respuestas acerca de cómo se transmite el VIH |
| llama superinfección | 0.308763 |
| Archivo Apple Quicktime | 0.308586 |
| insectos chupadores | 0.307368 |
| alto riesgo | 0.401624 |
| únicos casos | 0.323947 |
| Archivo Adobe PDF | 0.308458 |
| cuidadosa práctica | 0.30782 |
| pequeños cortes | 0.331287 |
| Archivo Microsoft | 0.326234 |
| Archivo Microsoft Word | 0.308913 |
| riguroso análisis | 0.331208 |
| Archivo Microsoft Excel | 0.308246 |
| siguientes maneras | 0.311674 |
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| principal riesgo | 0.326285 |
| personas vih | 0.486088 |
| pareja vih | 0.441223 |
| hombre vih | 0.4342 |
| escasos casos | 0.31075 |
| Archivo Microsoft PowerPoint | 0.308996 |
| Estados Unidos | 0.477334 |
| madre vih | 0.382482 |
| mujer vih | 0.424805 |
| Archivo Zip Comprimido | 0.308457 |
| determinadas actividades | 0.313325 |
| persona vih | 0.919625 |
| ¿El riesgo | 0.320574 |
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Schools |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| school health professionals | 0.355935 |
| public health issues | 0.349107 |
| School authorities | 0.340656 |
| mosquito-borne Zika virus | 0.428282 |
| Zika virus communication | 0.412264 |
| accurate Zika virus | 0.41095 |
| Zika virus | 0.942403 |
| public health authorities | 0.563538 |
| Zika virus21 | 0.340462 |
| possible Zika virus | 0.419392 |
| school | 0.397788 |
| CDC Zika virus | 0.426574 |
| Zoonotic Infectious Diseases | 0.351276 |
| Direct human-to-human transmission | 0.3405 |
| school districts | 0.370272 |
| National Center | 0.368972 |
| travel-associated Zika virus | 0.435331 |
| Zika virus exposure | 0.443271 |
| Zika virus disease | 0.529847 |
| current Zika virus | 0.413684 |
| school illness policies | 0.341901 |
| City Health Officials | 0.341369 |
| Zika virus transmission | 0.530608 |
| schools | 0.35025 |
| mosquito control authorities | 0.343232 |
|
| Zika virus information | 0.453998 |
| school administrators | 0.378094 |
| students | 0.348889 |
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| public health recommendations | 0.350306 |
| continental United States | 0.401424 |
| child care | 0.349067 |
| travel-related Zika virus | 0.410965 |
| school grounds | 0.368428 |
| Zika virus.10 OSHA | 0.357729 |
| virus disease outbreaks | 0.400297 |
| Global Health Protection | 0.34182 |
| Human Development | 0.350743 |
| sexual health education | 0.346174 |
| sexual transmission | 0.345833 |
| available Zika virus | 0.435232 |
| staff members | 0.410267 |
| Territorial Health Officials | 0.340825 |
| public health actions | 0.357045 |
| birth defects | 0.358217 |
| Hemisphere.1,2 Zika virus | 0.426873 |
| local public health | 0.385762 |
| public health codes | 0.351684 |
| local mosquito-borne transmission | 0.376651 |
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