| 5470 |
Centers for Disease Control and Prevention |
Html |
en |
N-Isopropylaniline - 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 |
| 6993 |
Centers for Disease Control and Prevention |
Html |
en |
Drowning - United States, 2005-2009 |
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. |
| death certificate data | 0.477749 |
| U.S. hospital EDs | 0.339155 |
| recreational water settings | 0.421024 |
| Nonfatal estimates | 0.404033 |
| National Child Death | 0.35299 |
| nonfatal drowning | 0.947715 |
| nonfatal drowning injuries | 0.67672 |
| unintentional drownings | 0.340746 |
| children | 0.522442 |
| nonfatal data | 0.440295 |
| Nonfatal rates | 0.432798 |
| formal swimming lessons | 0.410854 |
| National Electronic Injury | 0.522462 |
| Electronic Injury Surveillance | 0.518466 |
| greater risk | 0.346252 |
| survival swimming skills | 0.425223 |
| unintentional injury death | 0.501531 |
| Child Death Review | 0.403681 |
| National Vital Statistics | 0.537327 |
| swimming pools | 0.486355 |
| Unintentional Injury Prevention | 0.37123 |
| nonfatal cases | 0.471002 |
| older age groups | 0.399303 |
| persons | 0.377743 |
|
| fatal incidents | 0.410822 |
| Injury Program | 0.380341 |
| United States | 0.836653 |
| age group | 0.471665 |
| death rate | 0.64931 |
| transportation injury death | 0.351962 |
| U.S. EDs.§ Data | 0.350222 |
| injury death worldwide | 0.389379 |
| nonfatal drowning patients | 0.682455 |
| nonfatal incidents | 0.486639 |
| cardiopulmonary resuscitation | 0.37202 |
| overall death rate | 0.425181 |
| vehicle crash–related drownings | 0.359411 |
| death certificates | 0.341579 |
| boating-related drowning | 0.4477 |
| drowning death rates | 0.572161 |
| nonfatal unintentional drowning | 0.794545 |
| nonfatal drowning rates | 0.72053 |
| estimated nonfatal drownings | 0.49466 |
| nonfatal injury rates | 0.565754 |
| highest rates | 0.333147 |
| fatal drowning victims | 0.545862 |
| Fatal unintentional drowning | 0.626211 |
| nonfatal drownings | 0.640677 |
|
CLICK HERE |
| 9338 |
Centers for Disease Control and Prevention |
Html |
es |
Creencias causales y percepciones de riesgo con relación a la diabetes y las enfermedades cardiovasculares, Holanda, 2007 |
null |
| Henneman L | 0.705529 |
| percepciones correctas | 0.801238 |
| diabetes tipo | 0.794945 |
| Dekker J | 0.723214 |
|
| alto riesgo | 0.959352 |
| Timmermans D | 0.730389 |
| Nijpels G | 0.700202 |
| Marteau T | 0.720728 |
|
CLICK HERE |
| 10681 |
Centers for Disease Control and Prevention |
Html |
en |
Personal Reflections - Rima F. Khabbaz, MD |
Severe acute respiratory syndrome (SARS) is a viral respiratory illness caused by a coronavirus, called SARS-associated coronavirus (SARS-CoV). |
| CDC | 0.669723 |
| public health journalism | 0.284123 |
| CDC’s response | 0.348551 |
| infectious diseases | 0.329219 |
| Dr. Mary Chamberland | 0.239174 |
| potential SARS cases | 0.434575 |
| public health guidance | 0.311088 |
| SARS case definition | 0.444591 |
| CDC′s SARS pamphlets | 0.378091 |
| Public Health Advisor | 0.269985 |
| novel coronavirus | 0.235923 |
| SARS response volunteers | 0.428057 |
| National Center | 0.265029 |
| public health crises | 0.287615 |
| CDC leadership | 0.311878 |
| World Health Organization | 0.247512 |
| CDC response | 0.339775 |
| SARS | 0.777163 |
| public health officials | 0.295155 |
| international public health | 0.286141 |
| global public health | 0.372708 |
| International Health Regulations | 0.348948 |
| public health information | 0.329815 |
| CDC staffer | 0.307989 |
|
| CDC teams | 0.351252 |
| healthcare providers | 0.228146 |
| large CDC team | 0.3539 |
| outbreak risk communication | 0.230644 |
| SARS cases | 0.490218 |
| Hong Kong | 0.285613 |
| Dr. Khabbaz | 0.445258 |
| SARS Epidemiology | 0.359671 |
| subsequent SARS cases | 0.402749 |
| public health community | 0.370028 |
| CDC SARS response | 0.661055 |
| public health emergency | 0.287539 |
| CDC technical information | 0.374172 |
| local health departments | 0.261805 |
| public health | 0.905098 |
| SARS daily reports | 0.412349 |
| potential public health | 0.274958 |
| CDC scientists | 0.315152 |
| CDC laboratory | 0.31145 |
| new International Health | 0.275004 |
| public health capacity | 0.29421 |
| private healthcare providers | 0.221921 |
| SARS infection | 0.369379 |
| SARS outbreak | 0.579918 |
|
CLICK HERE |
| 11204 |
Centers for Disease Control and Prevention |
Html |
es |
¿Sus antecedentes familiares incluyen diabetes tipo 2? |
Prevenga o retrase la diabetes tipo 2 al conocer sus factores de riesgo, alimentarse bien, volverse más activo físicamente, perder una cantidad moderada de peso y controlar el estrés. Usted puede hacer un cambio saludable hoy. |
| Archivo Apple Quicktime | 0.594486 |
| Archivo RealPlayer | 0.511146 |
| Archivo Zip Comprimido | 0.599902 |
| Archivo Microsoft PowerPoint | 0.638219 |
|
| Archivo Adobe PDF | 0.607258 |
| Archivo Microsoft Excel | 0.604729 |
| Archivo Microsoft | 0.932426 |
|
CLICK HERE |
| 12705 |
Centers for Disease Control and Prevention |
Video |
en |
Making Health Easier: Healthy Changes Start in Preschool |
The video highlights the efforts of one educational organization, Los Angeles Universal Preschool (LAUP), to keep kids healthy at an early age. Childhood obesity now affects approximately one in six kids and disproportionately affects low-income and minority populations. LAUP teaches kids healthy habits and is incorporating small, healthy changes that can be made in any classroom—like teaching fun dances and providing nutritious snacks.
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://www.cdc.gov/CDCTV/ChildObese/index.html |
| Health Easier | 0.987779 |
| Start | 0.744775 |
|
| Healthy Changes | 0.919272 |
| Preschool | 0.748766 |
|
CLICK HERE |
| 13909 |
Centers for Disease Control and Prevention |
Html |
en |
Brain Injury Safety Tips and Prevention | HEADS UP | CDC Injury Center |
null |
| high school | 0.903985 |
| athletes proper techniques | 0.424195 |
| school soccer players | 0.354346 |
| health care provider | 0.472457 |
| high school cheerleaders | 0.393596 |
| concussion Work | 0.409605 |
| Enforce Safe Play | 0.370067 |
| high school lacrosse | 0.411164 |
| rules | 0.360056 |
| athletes proper fielding | 0.42503 |
| safety | 0.361223 |
| contact | 0.364166 |
| concussion symptom reporting | 0.452795 |
| concussion symptoms | 0.453159 |
| possible concussion report | 0.440911 |
| athletes proper takedown | 0.382533 |
| high school basketball | 0.420084 |
| concussion education | 0.406624 |
| athletes | 0.605249 |
| event administrator | 0.546135 |
| close eye | 0.402039 |
| fair play | 0.523789 |
| good condition | 0.65836 |
| concussion rates | 0.417689 |
| concussion | 0.71324 |
|
| concussion information | 0.418516 |
| high school baseball | 0.372724 |
| proper fielding techniques | 0.384639 |
| Athletes May Try | 0.36861 |
| States High School | 0.367826 |
| game | 0.388069 |
| possible concussion | 0.546731 |
| school ice hockey | 0.451851 |
| high school soccer | 0.39987 |
| hazards | 0.354558 |
| High School Athletics | 0.364272 |
| helmet | 0.36119 |
| Culture Around Concussion | 0.404487 |
| high school athletes | 0.540176 |
| sportsmanship | 0.366954 |
| high school ice | 0.451565 |
| padding | 0.359496 |
| potential concussion | 0.409504 |
| young athletes | 0.438386 |
| safe sport culture | 0.356216 |
| concussion law | 0.40294 |
| youth sports coach | 0.355921 |
| high school football | 0.414018 |
| Sports-Related Concussions | 0.388795 |
|
CLICK HERE |
| 14407 |
Centers for Disease Control and Prevention |
Html |
en |
Using Small-Area Estimation to Calculate the Prevalence ofSmoking by Subcounty Geographic Areas in King County, Washington,Behavioral Risk Factor Surveillance System, 2009-2013 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| smoking rates | 0.398963 |
| smoking prevalence rates | 0.397542 |
| data | 0.518676 |
| census tracts | 0.780352 |
| multiple imputation | 0.568715 |
| Risk Factor Surveillance | 0.424642 |
| Prev Chronic Dis | 0.413524 |
| King County HRAs | 0.391962 |
| King County sample | 0.418574 |
| nearest intersection question | 0.446671 |
| BRFSS data | 0.398013 |
| zip codes | 0.504769 |
| single census tract | 0.443148 |
| County health reporting | 0.393922 |
| census tract data | 0.462701 |
| census blocks | 0.403175 |
| sample size | 0.570247 |
| census tract level | 0.670387 |
| HRA levels | 0.39096 |
| hierarchical Bayesian models | 0.411333 |
| SAE census tract | 0.446261 |
| respondents | 0.396025 |
| King County BRFSS | 0.401269 |
| census geographic units | 0.42468 |
|
| census tract | 0.968157 |
| Behavioral Risk Factor | 0.423721 |
| direct estimation method | 0.401084 |
| small area estimation | 0.512294 |
| nearest intersection | 0.504123 |
| direct estimation | 0.497156 |
| zip code | 0.456015 |
| King County health | 0.406471 |
| percentage points | 0.566048 |
| health reporting areas | 0.418623 |
| county-level data mask | 0.394999 |
| census block-group level | 0.404099 |
| small sample size | 0.4549 |
| census tract-level analysis | 0.408981 |
| public health | 0.424579 |
| smoothed estimates | 0.408054 |
| census tract estimates | 0.45436 |
| census tract smoking | 0.441774 |
| smoothed–multiple imputation methods | 0.390919 |
| imputation methods | 0.439214 |
| small-area estimation | 0.439233 |
| single imputation methods | 0.39866 |
| census block-group–based areas | 0.42234 |
| King County | 0.780165 |
|
CLICK HERE |
| 15338 |
Centers for Disease Control and Prevention |
Html |
en |
New Summary Measures of Population Health and Well-Being forImplementation by Health Plans and Accountable CareOrganizations |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| health plans | 0.673134 |
| patient health | 0.563818 |
| Health Rankings project | 0.581224 |
| County Health Rankings | 0.63886 |
| preventive care guidelines | 0.582611 |
| Pronk NP | 0.624407 |
| Popul Health Manag | 0.61942 |
| health care claims | 0.643335 |
| life satisfaction | 0.615876 |
| well-being summary measure | 0.602314 |
| current health status | 0.581897 |
| health care organization | 0.643622 |
| population health | 0.623824 |
| World Health Organization | 0.593023 |
| health measure | 0.62658 |
| subjective well-being | 0.634876 |
| HealthPartners summary measures | 0.561397 |
| Health Rankings framework | 0.565538 |
| health care costs | 0.608824 |
| Public Health Strategies | 0.572411 |
| HealthPartners health assessments | 0.613358 |
| evidence-based preventive care | 0.579192 |
| summary measures | 0.760719 |
| lower health care | 0.66623 |
|
| Public Health | 0.580276 |
| Health series | 0.56333 |
| individual health plans | 0.612627 |
| United States | 0.579211 |
| summary measure | 0.617329 |
| Well-being adjusted life | 0.573855 |
| global burden | 0.63461 |
| state health department | 0.572295 |
| health services | 0.556624 |
| Redesigning Health care | 0.592858 |
| Public Health Practice | 0.572458 |
| health promotion program | 0.582235 |
| health care | 0.843909 |
| clinical preventive services | 0.629159 |
| current health | 0.726525 |
| positive mental health | 0.573083 |
| Public’s Health | 0.588372 |
| health | 0.995284 |
| good mental health | 0.622596 |
| HealthPartners | 0.63184 |
| population health measurement | 0.618919 |
| health plan | 0.644665 |
| mental health conditions | 0.593732 |
| health plan member | 0.588325 |
|
CLICK HERE |
| 15938 |
Centers for Disease Control and Prevention |
Html |
en |
HAN Archive - 00394|Health Alert Network (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| antibody test results | 0.336086 |
| mosquito-borne Zika virus | 0.459568 |
| individual instances | 0.339379 |
| limited risk | 0.394958 |
| Zika infection | 0.340275 |
| symptom onset | 0.395475 |
| Zika virus | 0.996735 |
| areas | 0.336263 |
| maximal two-week incubation | 0.337654 |
| possible Zika virus | 0.615163 |
| pregnant women | 0.742097 |
| active Zika virus | 0.63427 |
| CDC Zika | 0.33892 |
| symptomatic pregnant women | 0.398922 |
| area | 0.342592 |
| Zika virus exposure | 0.70724 |
| Wynwood | 0.34526 |
| Zika virus disease | 0.561484 |
| Miami-Dade County | 0.412175 |
| symptoms | 0.350424 |
| Zika virus transmission | 0.662656 |
| asymptomatic pregnant women | 0.401216 |
| pregnant sex partner | 0.359562 |
| sexual exposure | 0.338316 |
|
| travel-related cases | 0.339081 |
| healthcare providers | 0.358388 |
| CDC Health Alert | 0.34706 |
| 12 weeks after symptom onset | 0.337901 |
| Miami-Dade County. CDC | 0.345716 |
| urine Zika virus | 0.389509 |
| antibody test result | 0.358363 |
| Zika virus infection | 0.614825 |
| Zika virus immunoglobulin | 0.389538 |
| potential Zika virus | 0.427972 |
| IgM antibody test | 0.434464 |
| local mosquito-borne Zika | 0.357804 |
| incubation period | 0.33787 |
| potential exposure | 0.339788 |
| ongoing risk | 0.409084 |
| guidance (http://www.cdc.gov/mmwr/volumes/65/wr/mm6529e1.htm?s_cid=mm6529e1_e). | 0.387545 |
| rRT-PCR testing | 0.354883 |
| nonessential travel | 0.339435 |
| possible exposure | 0.435671 |
| FL DOH | 0.391529 |
| Zika virus IgM | 0.398421 |
| partners | 0.337574 |
| Miami Beach | 0.502334 |
| Zika virus testing | 0.397252 |
|
CLICK HERE |