| 5888 |
Centers for Disease Control and Prevention |
Html |
en |
Calcium carbonate - 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 |
| 6551 |
Centers for Disease Control and Prevention |
Html |
en |
Hospital-Associated Measles Outbreak - Pennsylvania, March - April 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. |
| County Health Department | 0.538359 |
| County Health Dept | 0.504681 |
| electronic medical records | 0.503147 |
| potentially exposed employees | 0.533584 |
| public health resources | 0.425465 |
| measles immunity | 0.734755 |
| measles serologic results | 0.664953 |
| measles outbreaks | 0.73527 |
| measles immunization | 0.615355 |
| potentially infectious patients | 0.438341 |
| measles virus | 0.691826 |
| additional cases | 0.53865 |
| future measles outbreaks | 0.664249 |
| recent international travel | 0.606486 |
| measles serologic immunity | 0.713677 |
| measles case | 0.687868 |
| genotype D8 | 0.422571 |
| hospital emergency department | 0.629116 |
| serologic evidence | 0.450612 |
| measles transmission | 0.791662 |
| child | 0.46011 |
| previously healthy child | 0.421842 |
| United States | 0.475156 |
| generalized maculopapular rash | 0.570174 |
|
| ED physician | 0.477668 |
| index patient | 0.658345 |
| source patient | 0.6563 |
| measles vaccine | 0.628752 |
| health-care settings | 0.427071 |
| public health | 0.468812 |
| measles surveillance case | 0.698259 |
| hospital employees | 0.455639 |
| measles IgG titers | 0.683922 |
| Health-care–associated measles outbreaks | 0.671389 |
| measles patients | 0.648801 |
| Hospital Infection Control | 0.447727 |
| employee health records | 0.444989 |
| positive measles IgM | 0.689251 |
| Public Health Preparedness | 0.425241 |
| Allegheny County Health | 0.746397 |
| viral exanthema | 0.475864 |
| hospital staff members | 0.450616 |
| endemic measles transmission | 0.738907 |
| Pennsylvania Health Alert | 0.432279 |
| health-care facilities | 0.5237 |
| potentially exposed patients | 0.435603 |
| rash onset | 0.666651 |
| serum | 0.449049 |
|
CLICK HERE |
| 6711 |
Centers for Disease Control and Prevention |
Html |
en |
Calculating reach of evidence-based weight loss and memory improvement interventions among older adults attending Arkansas senior centers, 2008-2011. |
Older adults could benefit from public health interventions that address the health conditions they face. However, translation of evidence-based interventions into the community has been slow. |
| public health interventions | 0.29835 |
| reach | 0.339934 |
| senior center | 0.334904 |
| memory arm | 0.286451 |
| program | 0.36144 |
| Introduction
Older adults | 0.321447 |
| memory intervention | 0.502305 |
| Arkansas senior centers | 0.30269 |
| senior center attendees | 0.284572 |
| lay health educators | 0.340287 |
| REACH caregiver intervention | 0.308787 |
| obese older adults | 0.309512 |
| target population penetration | 0.278364 |
| weight loss | 0.464698 |
| larger target population | 0.281685 |
| memory improvement | 0.406112 |
| behavioral weight loss | 0.333571 |
| weight loss intervention | 0.423251 |
| Medical Sciences | 0.312427 |
| programs | 0.279699 |
| Little Rock | 0.285782 |
| Older Americans Act | 0.285058 |
| study | 0.346886 |
| memory improvement programs | 0.275761 |
| memory program | 0.293099 |
|
| community-dwelling older adults | 0.299662 |
| lifestyle intervention | 0.477366 |
| screening process | 0.329014 |
| potential reach | 0.287141 |
| obese senior adults | 0.282769 |
| evidence-based interventions | 0.282994 |
| senior center participants | 0.275511 |
| congregate meal program | 0.348935 |
| Memory Training Intervention | 0.31806 |
| senior centers | 0.927081 |
| public health | 0.328062 |
| weight control intervention | 0.301743 |
| body mass index | 0.277985 |
| program reach | 0.280026 |
| broader target population | 0.27697 |
| memory program participants | 0.286576 |
| target population | 0.689066 |
| older Americans | 0.382346 |
| Memory Improvement Program | 0.282649 |
| Diabetes Prevention Program | 0.314881 |
| memory improvement intervention | 0.361705 |
| older adults | 0.867383 |
| Program lifestyle intervention | 0.312817 |
| lifestyle intervention criteria | 0.327251 |
|
CLICK HERE |
| 9903 |
Centers for Disease Control and Prevention |
Html |
en |
Stopping a Salmonella Outbreak among Infants in a Nursery |
null |
| disease detectives | 0.411046 |
| illnesses | 0.236103 |
| field gel electrophoresis | 0.61399 |
| mom | 0.24444 |
| FoodCORE investigator | 0.45813 |
| state partners | 0.400138 |
| recommendations | 0.264325 |
| South Carolina Bureau | 0.601536 |
| Salmonella infection | 0.841508 |
| combined approach | 0.406982 |
| little girl | 0.421021 |
| review | 0.235438 |
| laboratory results | 0.425582 |
| DNA fingerprinting | 0.422183 |
| stools | 0.251615 |
| environmental health inspector | 0.599041 |
| carefully washing hands | 0.583267 |
| FoodCORE Team | 0.418037 |
| diaper changes | 0.440973 |
| regional epidemiologist | 0.415648 |
| diarrhea | 0.32567 |
| old girl | 0.447889 |
| original cases | 0.414455 |
| pediatrician | 0.254596 |
| condition | 0.242803 |
|
| nursery | 0.397658 |
| Additional laboratory testing | 0.599615 |
| parents | 0.239865 |
| Salmonella bacteria | 0.559866 |
| South Carolina coast | 0.677746 |
| sick infants | 0.551236 |
| quaint town | 0.475896 |
| South Carolina | 0.919415 |
| identical strain | 0.430735 |
| signs | 0.242733 |
| overall hygiene practices | 0.575614 |
| swift investigative collaboration | 0.570702 |
| Thanks | 0.242014 |
| course | 0.237779 |
| stool sample | 0.456546 |
| old boy | 0.430192 |
| multidisciplinary team | 0.410394 |
| diaper changing | 0.44655 |
| handwashing procedures | 0.412708 |
| blood | 0.242715 |
| doctor | 0.240987 |
| little boy | 0.425371 |
| formula preparation | 0.410931 |
| Salmonella Outbreak | 0.572304 |
|
CLICK HERE |
| 10140 |
Centers for Disease Control and Prevention |
Html |
en |
Mycoplasma pneumoniae: Surveillance and Reporting |
An estimated 2 million cases of Mycoplasma pneumoniae infection occur each year in the United States. |
| true size | 0.27628 |
| Mycoplasma pneumoniae infections | 0.932727 |
| population-based active surveillance | 0.527358 |
| national reporting | 0.28464 |
| United States | 0.277276 |
| health problem | 0.275484 |
| Hackman BA | 0.297248 |
| publications page | 0.252639 |
| Lieberman D. | 0.26921 |
| community-acquired pneumonia | 0.723182 |
| Community-Based Pneumoniae Incidence | 0.799771 |
| Salstrom SJ | 0.279384 |
|
| File Jr TM | 0.481545 |
| Arch Intern Med. | 0.470939 |
| Marston BJ | 0.316948 |
| Kolczak MS | 0.244209 |
| crowded environments | 0.297128 |
| M. pneumoniae infection | 0.875218 |
| Breiman RF | 0.252285 |
| Lipman HB | 0.319341 |
| Study Group | 0.233162 |
| Plouffe JF | 0.36414 |
| college dormitories | 0.304149 |
|
CLICK HERE |
| 10858 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Effect of Personal Characteristics on Individual Support for Indoor Smoke-Free Air Laws, Indiana, 2008 - CDC |
Policy makers should understand the attitudes and beliefs of their constituents regarding smoke-free air legislation. The purpose of this study was to evaluate the effect of selected personal characteristics on attitudes and beliefs about secondhand smoke in Indiana and on support for smoke-free air laws. |
| indoor smoke-free air | 0.267125 |
| community smoke-free air | 0.30256 |
| comprehensive smoke-free air | 0.243023 |
| logistic regression analyses | 0.203613 |
| SHS laws | 0.254202 |
| smoke-free workplaces | 0.210193 |
| smoke-free law | 0.206479 |
| public support | 0.200732 |
| smoking | 0.236449 |
| smoke-free air laws | 0.795095 |
| public health | 0.218704 |
| SHS | 0.302068 |
| SHS exposure policies | 0.223917 |
| smoke-free air law | 0.234394 |
| worksite smoke-free air | 0.255463 |
|
| smoke-free air policies | 0.377223 |
| smoke-free bar law | 0.21357 |
| health | 0.262453 |
| clean indoor air | 0.27217 |
| statewide smoke-free air | 0.24874 |
| smoke-free air act | 0.244743 |
| SHS exposure | 0.261562 |
| county smoke-free air | 0.258522 |
| smoke-free air | 0.982273 |
| policy makers | 0.231911 |
| smoke-free air legislation | 0.618092 |
| support | 0.201028 |
| smoke-free air ordinances | 0.245745 |
| health effects | 0.220539 |
|
CLICK HERE |
| 11443 |
Centers for Disease Control and Prevention |
Html |
en |
Prevalence and Characteristics of Sexual Violence, Stalking, and Intimate Partner Violence Victimization - National Intimate Partner and Sexual Violence Survey, United States, 2011 |
Matthew J. Breiding, PhD. |
| severe physical violence | 0.313175 |
| unwanted sexual violence | 0.263417 |
| Sexual Violence Survey | 0.292333 |
| National Intimate Partner | 0.282167 |
| case count | 0.29083 |
| non-Hispanic black women | 0.291359 |
| sexual coercion | 0.325191 |
| physical violence | 0.435809 |
| psychological aggression | 0.271002 |
| violence type | 0.261305 |
| Indian/Alaska Native women | 0.307694 |
| victims | 0.416329 |
| statistically reliable prevalence | 0.296517 |
| male perpetrators | 0.279156 |
| violence prevention | 0.261874 |
| partner violence–related impact | 0.291832 |
| female stalking victims | 0.279549 |
| sexual violence victimization | 0.277116 |
| lifetimes | 0.361936 |
| unwanted sexual contact | 0.411038 |
| non-Hispanic black men | 0.260907 |
| male victims | 0.370184 |
| survey | 0.324232 |
| women | 0.510867 |
|
| violence victimization results | 0.261447 |
| male stalking victims | 0.304429 |
| Pacific Islander | 0.261915 |
| United States | 0.274622 |
| contact sexual violence | 0.363351 |
| intimate partner | 0.991995 |
| male sexual violence | 0.277923 |
| physical violence behaviors | 0.264558 |
| rape | 0.330076 |
| public health burden | 0.278654 |
| partner violence victimization | 0.367794 |
| men | 0.464577 |
| physical violence victimization | 0.262438 |
| non-Hispanic white men | 0.287642 |
| sexual violence | 0.859553 |
| female victims | 0.334659 |
| perpetrator | 0.3155 |
| female sexual violence | 0.276946 |
| reliable prevalence estimate | 0.27593 |
| statistically reliable estimates | 0.296454 |
| non-Hispanic white women | 0.290659 |
| intimate partner violence | 0.737094 |
| American Indian/Alaska Native | 0.380579 |
| age | 0.328476 |
|
CLICK HERE |
| 11468 |
Centers for Disease Control and Prevention |
Html |
en |
NIOSH Publications and Products - NIOSH List of Antineoplastic and Other Hazardous Drugs in Healthcare Settings, 2014 (2014-138) |
Publication |
| Review Plan | 0.371079 |
| Centers | 0.31381 |
| Federal Register Notice | 0.428342 |
| CDC | 0.314564 |
| review process | 0.373975 |
| drug package inserts | 0.4257 |
| Federal Register | 0.446711 |
| Occupational Safety | 0.460607 |
| new listings | 0.373745 |
| respective institutions | 0.380362 |
| Disease Control | 0.375696 |
| Health Care Settings | 0.454913 |
| new format | 0.374807 |
| America | 0.314736 |
| http://www.cdc.gov/niosh/docket/review/docket233/pdf/CDC-2013-0007.pdf | 0.313967 |
| Future additions | 0.372838 |
| PhRMA | 0.314722 |
| Pharmaceutical Research | 0.380967 |
|
| current update | 0.378484 |
| additional information | 0.421105 |
| National Institute | 0.459884 |
| NIOSH criteria | 0.457504 |
| NIOSH | 0.561356 |
| consequent removal | 0.383759 |
| manufacturers | 0.328948 |
| Antineoplastic | 0.330235 |
| hazardous drugs | 0.926798 |
| Occupational Exposures | 0.39371 |
| Healthcare Settings | 0.371936 |
| list | 0.509869 |
| major hazardous drugs | 0.622169 |
| Appendix | 0.3189 |
| sample list | 0.388529 |
| lists | 0.31484 |
| review cycle | 0.368165 |
|
CLICK HERE |
| 12813 |
Centers for Disease Control and Prevention |
Html |
en |
Responding to a Concussion and Action Plan for Coaches | HEADS UP | CDC Injury Center |
null |
| repeat concussion | 0.203845 |
| athlete’s health | 0.21219 |
| young athlete | 0.911383 |
| medical provider | 0.301482 |
|
| health care provider | 0.836743 |
| concussion | 0.576298 |
| possible concussion | 0.416383 |
|
CLICK HERE |
| 16280 |
Centers for Disease Control and Prevention |
Html |
en |
FastStats - Viral Hepatitis |
null |
| MPEG | 0.518392 |
| tables | 0.471394 |
| PDF | 0.575169 |
| United States | 0.84082 |
| MB | 0.6821 |
| PPT | 0.555688 |
|
| Health | 0.483014 |
| Final Data | 0.786517 |
| Deaths | 0.529263 |
| DOC | 0.513378 |
| different file formats | 0.974389 |
|
CLICK HERE |