| 5506 |
Centers for Disease Control and Prevention |
Html |
en |
Trichloronaphthalene - 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 |
| 8570 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - 1957 Flu Pandemic, David Rex |
1957 Flu Pandemic, The 1957 flu pandemic was deadly, but milder than the 1918 event. The virus caused an estimated 70,000 deaths in the United States. The seven stories presented in this section are retold by survivors from New York to California. |
| bed | 0.449743 |
| sick students | 0.67815 |
| reason | 0.458636 |
| lunch | 0.458472 |
| dining room | 0.96645 |
| large number | 0.684491 |
| afternoon classes | 0.715003 |
| nation | 0.449841 |
| dorm mates | 0.742499 |
| student body | 0.684499 |
| high morbidity rate | 0.920353 |
| mild symptoms | 0.721488 |
| roommates | 0.467245 |
| regular basis | 0.670237 |
| closing | 0.453947 |
| center staff | 0.665799 |
| fall | 0.525761 |
| Storyteller | 0.4688 |
| dorms | 0.571182 |
| state | 0.449997 |
| Presbyterian college | 0.67045 |
| deaths | 0.454857 |
|
| fewer students | 0.695441 |
| flu-like symptoms | 0.743892 |
| David Rex | 0.756263 |
| dorm room | 0.748451 |
| elevated temperature | 0.715987 |
| dinner | 0.451563 |
| churches | 0.449779 |
| aches | 0.607572 |
| freshman | 0.479339 |
| girlfriend | 0.465754 |
| health center | 0.667444 |
| flu shot | 0.727262 |
| public meetings | 0.674105 |
| schools | 0.44981 |
| Wooster Ohio | 0.760628 |
| Synod | 0.450238 |
| professors | 0.457809 |
| school doctor | 0.725376 |
| late morning | 0.704423 |
| time | 0.45571 |
| classrooms | 0.460604 |
| breakfast | 0.454952 |
|
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| 9261 |
Centers for Disease Control and Prevention |
Html |
es |
Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0331 |
Volumen 10 — el 27 de junio de 2013. |
|
| guÃa comunitaria | 0.963876 |
|
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 |
|
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| 11373 |
Centers for Disease Control and Prevention |
Html |
en |
Reproductive Health - How You Can Be Exposed to Job Hazards |
null |
| chemical exposures | 0.548404 |
| prenatal care visits | 0.603944 |
| Med Womens Assoc | 0.600864 |
| work hazards home | 0.78973 |
| McDiarmid M. Birth | 0.607144 |
| obvious exposures | 0.564897 |
| Teratology Information Specialists | 0.610077 |
| workplace hazards | 0.973883 |
| occupational health physician | 0.606847 |
| change jobs | 0.519813 |
| home renovation | 0.524661 |
| personal protective equipment | 0.832655 |
| patients | 0.77099 |
| pregnancy | 0.534512 |
| Occupational Exposures | 0.527134 |
| important source | 0.517061 |
| work schedule | 0.567302 |
| job tasks | 0.785526 |
| sex hormone production | 0.626157 |
| simple questions | 0.519537 |
| harmful chemicals home | 0.658178 |
| pregnant worker | 0.637 |
| workplace reproductive hazards | 0.739415 |
| Reproductive Health | 0.515314 |
|
| usual job tasks | 0.785129 |
| night shifts | 0.654627 |
| Teratology Society Meeting | 0.60606 |
| rapid development | 0.515138 |
| long periods | 0.529496 |
| especially children | 0.525353 |
| breastfeeding worker | 0.56149 |
| specific job tasks | 0.627563 |
| sexual function | 0.532732 |
| lung capacity | 0.513396 |
| reduced general health | 0.63724 |
| home contamination | 0.524898 |
| work clothes | 0.62281 |
| rate women | 0.518123 |
| Occupational exposure limits | 0.614831 |
| sexual partners | 0.525539 |
| separate laundry loads | 0.591362 |
| Workplace exposures | 0.58016 |
| simple steps | 0.53007 |
| lab coats | 0.520314 |
| common workplace hazards | 0.740468 |
| workers change clothes | 0.630514 |
| Dev Reprod Toxicol | 0.604205 |
| worker safety | 0.553841 |
|
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| 11510 |
Centers for Disease Control and Prevention |
Html |
en |
NCIRD | Branches | Org Chart | Vaccines and Respiratory Diseases |
null |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
|
CLICK HERE |
| 13212 |
Centers for Disease Control and Prevention |
Html |
en |
2012-13 State, Regional, and National Influenza Vaccination Report I |
FluVaxView 2012-13 State, Regional, and National Vaccination Report I - CDC |
| United States | 0.493651 |
| influenza vaccination coverage | 0.963548 |
| trend line | 0.479838 |
| Click | 0.3886 |
| help | 0.328235 |
| Refer | 0.349175 |
| bar chart | 0.595763 |
| estimate | 0.350211 |
|
| report | 0.327972 |
| Map Selection button | 0.590021 |
| mouse pointer | 0.525062 |
| information | 0.32813 |
| State bar chart | 0.5773 |
| small window | 0.480719 |
| time | 0.329297 |
| line graph | 0.475594 |
|
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 |