| 1102 |
Centers for Disease Control and Prevention |
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Workers' Compensation Claims for Musculoskeletal DisordersAmong Wholesale and Retail Trade Industry Workers - Ohio,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. |
| small WRT employers | 0.476273 |
| high rates | 0.299441 |
| BLS case definitions.§ | 0.294187 |
| injury/illness diagnosis data | 0.29958 |
| work-related musculoskeletal disorders | 0.373629 |
| highest claim rates | 0.296715 |
| lost-time WMSD rates | 0.444303 |
| Nondurable Goods | 0.339646 |
| WMSD workers | 0.428317 |
| WRT industry | 0.746233 |
| т‰Ѕ250 | 0.348726 |
| WRT subgroups | 0.506177 |
| WRT subsectors | 0.905735 |
| Home Furnishings Stores | 0.451212 |
| WRT NAICS | 0.444164 |
| Auto-coded WMSD claims | 0.481133 |
| compensation claims data | 0.377947 |
| NC | 0.64048 |
| motor vehicle parts | 0.463776 |
| Bayesian auto-coding | 0.291611 |
| higher rates | 0.317312 |
| employees | 0.298546 |
| WMSD lost-time claims | 0.466003 |
| lost-time WMSD claims | 0.462292 |
|
| WMSDs | 0.338235 |
| Retail Trade | 0.295517 |
| United States | 0.291406 |
| injury/illness diagnosis | 0.3062 |
| alcoholic beverages | 0.460777 |
| furniture stores | 0.381077 |
| wholesalers | 0.337337 |
| manually coded claims | 0.321703 |
| North American Industry | 0.302735 |
| WRT industry subsectors | 0.649968 |
| single-location employers | 0.3294 |
| related products | 0.397894 |
| compensation claims | 0.438331 |
| highest rates | 0.401321 |
| single-location WRT employers | 0.5799 |
| compensation insurance.* Data | 0.306392 |
| certain WRT subsectors | 0.529399 |
| WRT employers | 0.594174 |
| WRT industry employers | 0.505707 |
| WRT subsector Merchant | 0.47868 |
| WMSD claims | 0.77195 |
| Durable Goods | 0.39561 |
| ergonomic hazards | 0.291021 |
| WMSD claim rates | 0.441605 |
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Making better use of the policies and funding we already have |
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| nongovernmental organizations | 0.561307 |
| health plans | 0.523059 |
| additional dedicated resources | 0.509026 |
| population health improvement | 0.582188 |
| health improvement activities | 0.596073 |
| Health Insurance Program | 0.619223 |
| health care | 0.581446 |
| underreimbursed public programs | 0.527852 |
| health issues | 0.507796 |
| health impact | 0.510852 |
| Rev Public Health | 0.573239 |
| enormous population health | 0.565267 |
| mutual health goals | 0.540759 |
| health professionals | 0.520469 |
| population health | 0.994037 |
| public employee investment | 0.523266 |
| public health leaders | 0.616676 |
| community benefit | 0.655646 |
| public policy | 0.569535 |
| numerous public health | 0.575591 |
| health care reform | 0.555646 |
| private sector | 0.509498 |
| community health | 0.661628 |
| Foundation Health Plan | 0.534182 |
| community health initiative | 0.576643 |
|
| community environmental changes | 0.520037 |
| Children’s Health | 0.553934 |
| inadequate public management | 0.50566 |
| public health planning | 0.578445 |
| public organizations | 0.548561 |
| policies | 0.520614 |
| public agencies | 0.571925 |
| Health Polit Policy | 0.559056 |
| local health | 0.520623 |
| population health reform | 0.607212 |
| public health | 0.621054 |
| health care systems | 0.546723 |
| population health programs | 0.627641 |
| resources | 0.510091 |
| Population health policy | 0.633222 |
| population health interventions | 0.572207 |
| population health perspective | 0.622398 |
| public policy case | 0.523017 |
| community health interventions | 0.567695 |
| adverse health consequences | 0.544842 |
| views community benefit | 0.506214 |
| nonprofit health organizations | 0.577726 |
| population health advocates | 0.583189 |
| traditional health | 0.520982 |
|
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Centers for Disease Control and Prevention |
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Winter Weather |
Taking preventive action is your best defense against having to deal with extreme cold-weather conditions. By preparing your home and car in advance for winter emergencies, and by observing safety precautions during times of extremely cold weather, you can reduce the risk of weather-related health problems. |
| temperatures | 0.458116 |
| winter storms | 0.788413 |
| stages | 0.371516 |
|
| challenge | 0.397336 |
| winter storm | 0.722421 |
|
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| 4855 |
Centers for Disease Control and Prevention |
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Vancomycin-resistant Enterococci in Healthcare Settings - HAI |
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| hospitals | 0.326995 |
| infected wounds | 0.365329 |
| hands | 0.407046 |
| VRE | 0.92634 |
| urinary catheters | 0.456514 |
| device-associated infections | 0.408993 |
| transplant wards | 0.371088 |
| Enteroccocci | 0.329515 |
| surgical procedures | 0.440738 |
| Wash | 0.313472 |
| immune systems | 0.370195 |
| chest surgery | 0.369975 |
| contact | 0.346761 |
| female genital tract | 0.727042 |
| human intestines | 0.549684 |
| following persons | 0.366061 |
| antibiotic treatment | 0.373685 |
| contaminated surfaces | 0.371568 |
| antibiotic vancomycin | 0.404318 |
| body fluids | 0.363184 |
| bloodstream infections | 0.414701 |
| drug-resistant infections | 0.42873 |
| clean areas | 0.361983 |
| antimicrobial-resistant bacteria | 0.398571 |
|
| antibiotics | 0.351868 |
| special precautions | 0.365932 |
| healthcare providers | 0.364236 |
| instances | 0.314523 |
| urinary tract | 0.382468 |
| hand rubs | 0.36746 |
| Wear gloves | 0.361611 |
| long periods | 0.426607 |
| Network Patient Safety | 0.414337 |
| National Healthcare Safety | 0.414488 |
| bandages | 0.31362 |
| Laboratory testing | 0.368481 |
| vancomycin-resistant enterococci | 0.604037 |
| surveillance methods | 0.363433 |
| people | 0.450169 |
| Healthcare facilities | 0.36393 |
| intensive care units | 0.426726 |
| spread | 0.320867 |
| specific types | 0.380534 |
| environment | 0.329405 |
| medical devices | 0.369942 |
| healthcare provider | 0.364148 |
| vancomycin-resistant Enterococci infections | 0.59247 |
| time | 0.339091 |
|
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Centers for Disease Control and Prevention |
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FAQ's About Folic Acid |
Folic acid is a B vitamin. Our bodies use it to make new cells. Everyone needs folic acid. CDC urges women to take 400 mcg of folic acid every day, starting at least one month before getting pregnant, to help prevent major birth defects of the baby's brain and spine. |
| low vitamin | 0.463855 |
| woman | 0.423891 |
| upper intake level | 0.580018 |
| neural tube closing | 0.514545 |
| data | 0.428976 |
| micrograms | 0.40997 |
| potential adverse effects | 0.494114 |
| early pregnancy | 0.458031 |
| dosages | 0.412217 |
| neural tube | 0.654769 |
| folic acid supplementation | 0.614422 |
| neural tube defects | 0.600516 |
| higher concentration | 0.449296 |
| one-fifth | 0.409671 |
| type | 0.41031 |
| folic acid consumption | 0.706615 |
| blood folate | 0.45298 |
| body weight | 0.487828 |
| Effect Level | 0.448211 |
| Institute | 0.420303 |
| U.S. children | 0.449022 |
| tolerable upper intake | 0.597326 |
|
| studies | 0.417229 |
| high amounts | 0.487042 |
| folic acid | 0.951947 |
| high doses | 0.453763 |
| chance | 0.410559 |
| prenatal visit | 0.455587 |
| IOM | 0.425085 |
| mcg/day | 0.441804 |
| patients | 0.409998 |
| nervous system damage | 0.510444 |
| people | 0.430478 |
| Lowest Observed Adverse | 0.501259 |
| pernicious anemia | 0.462326 |
| Medicine | 0.420292 |
| LOAEL risk level | 0.488924 |
| severe deficiency | 0.457897 |
| age-specific ULs | 0.449535 |
| older adults | 0.446312 |
| baby | 0.423883 |
| cognitive impairment | 0.450277 |
| clinical evidence | 0.448272 |
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Preventing Chronic Disease | Accelerated Weight Gain Among Children During Summer Versus School Year and Related Racial/Ethnic Disparities: A Systematic Review - CDC |
The objective of this study was to compile and summarize research examining variations in weight gain among students during the summer in comparison to the school year, with a focus on racial/ethnic disparities and students who are at risk of overweight. |
| BMI increase | 0.384243 |
| summer break | 0.402114 |
| racial/ethnic minority children | 0.379352 |
| ideal body weight | 0.394828 |
| longitudinal study | 0.447779 |
| 85th BMI percentile | 0.384845 |
| obesity prevention programs | 0.380633 |
| health disparities | 0.386928 |
| children | 0.579306 |
| school | 0.528559 |
| summer weight gain | 0.840924 |
| BMI z scores | 0.462376 |
| obesity prevention | 0.396765 |
| elementary school children | 0.376924 |
| school children | 0.399003 |
| growth patterns | 0.417795 |
| school-based obesity prevention | 0.379309 |
| overweight children | 0.444437 |
| BMI z score | 0.553024 |
| body mass index | 0.445685 |
| representative longitudinal study | 0.37944 |
| 5-year longitudinal study | 0.412807 |
| overweight students | 0.377273 |
| accelerated summer weight | 0.460074 |
| out-of-school time | 0.392781 |
|
| summer school vacation | 0.415083 |
| summer food programs | 0.405419 |
| summer camps | 0.394585 |
| unhealthy summer weight | 0.400152 |
| American Indian schoolchildren | 0.397396 |
| summer achievement slide | 0.463922 |
| study | 0.476357 |
| United States | 0.462509 |
| student BMI | 0.387549 |
| weight gain | 0.958531 |
| differences | 0.384968 |
| obese children | 0.407731 |
| Childhood Longitudinal Study | 0.382006 |
| American Indian children | 0.449729 |
| weight status | 0.503883 |
| studies | 0.506509 |
| child weight gain | 0.398841 |
| Summer Activity Study | 0.386009 |
| Indian school children | 0.39189 |
| physical activity | 0.451656 |
| summer vacation | 0.610082 |
| vacation weight gain | 0.404982 |
| et al | 0.376966 |
| baseline weight status | 0.397323 |
|
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MMWR News Synopsis: September 11, 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. |
| varicella case-based surveillance | 0.752744 |
| varicella reporting | 0.650435 |
| completeness | 0.422685 |
| continued monitoring | 0.580451 |
| flhealth.gov | 0.417264 |
| National | 0.414811 |
| varicella surveillance data | 0.763591 |
| Considerable progress | 0.489191 |
| vaccination status | 0.597032 |
| additional cases | 0.496277 |
| jurisdictions | 0.482627 |
| measles diagnosis | 0.599435 |
| measles infections | 0.599355 |
| Health Level | 0.487144 |
| outbreak association | 0.496762 |
| Brazilian citizen | 0.493622 |
| measles outbreak | 0.621191 |
| persons | 0.415165 |
| public health response | 0.576684 |
| HUMAN SERVICES | 0.486543 |
| Fla | 0.420691 |
| CDC Media Relations | 0.5755 |
| compatible symptoms | 0.490127 |
| varicella disease trends | 0.731546 |
| Public Information Officer | 0.589983 |
|
| United States | 0.673085 |
| epidemiologic data | 0.491297 |
| possibly associated case | 0.578259 |
| world | 0.416257 |
| varicella vaccination program | 0.922722 |
| unknown vaccination history | 0.63302 |
| U.S. DEPARTMENT | 0.485863 |
| routine measles vaccinations | 0.696943 |
| Florida Department | 0.496142 |
| Children | 0.416107 |
| disease severity | 0.55962 |
| travel history | 0.495655 |
| unvaccinated siblings | 0.501115 |
| source case | 0.496996 |
| Continued work | 0.502712 |
| varicella surveillance practices | 0.907581 |
| Dain Weister | 0.520647 |
| ongoing source | 0.495504 |
| varicella-specific data | 0.484804 |
| Orange County | 0.584192 |
| Dain.Weister | 0.417274 |
| Healthcare providers | 0.49347 |
| future varicella vaccination | 0.766944 |
| Micronesian Community | 0.494989 |
|
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MMWR News Synopsis: October 16, 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. |
| vaccinations | 0.434766 |
| mean proportion | 0.733015 |
| school-age children | 0.635739 |
| cessation interventions | 0.585263 |
| patient lists | 0.572771 |
| New York City | 0.949929 |
| vaccination coverage | 0.998713 |
| pressoffice@health.nyc.gov | 0.582429 |
| smoking status | 0.563539 |
| median exemption rate | 0.813839 |
| health care providers | 0.750151 |
| school entry | 0.588334 |
| patients | 0.449889 |
| schoolchildren | 0.441752 |
| tobacco products | 0.571544 |
| schools | 0.45772 |
| health care settings | 0.730682 |
| HUMAN SERVICES | 0.56873 |
| CDC Media Relations | 0.796712 |
| high vaccination coverage | 0.846425 |
| Electronic health records | 0.748956 |
| electronic health record | 0.742958 |
| parents | 0.433368 |
| United States | 0.589022 |
| professionals | 0.433267 |
|
| smokers | 0.546984 |
| healthcare | 0.433276 |
| NYC DOHMH | 0.57537 |
| timely feedback | 0.568336 |
| U.S. DEPARTMENT | 0.567938 |
| critical protection | 0.604926 |
| health departments | 0.63022 |
| Healthy People | 0.57956 |
| high exemption levels | 0.808025 |
| vaccine exemption rates | 0.92137 |
| quit rates | 0.584359 |
| York City Department | 0.724597 |
| local vaccine requirements | 0.839056 |
| vaccine coverage | 0.825193 |
| CDC gathers data | 0.772666 |
| medical visit | 0.569463 |
| low vaccine rates | 0.825332 |
| cessation intervention | 0.587106 |
| Community Health Centers | 0.730733 |
| vaccine-preventable diseases | 0.808518 |
| electronic-health-record-based pay-for-improvement initiative | 0.705628 |
| smoking-status documentation | 0.565051 |
| kindergarten students | 0.603015 |
| Mental Hygiene | 0.574463 |
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Nonfatal Injuries 1 Week After Hurricane Sandy - New YorkCity Metropolitan Area, October 2012 |
Robert M. Brackbill, PhD1, Kimberly Caramanica, MPH1, Maret Maliniak1,2, Steven D. Stellman, PhD1,3, Monique A. |
| injured persons | 0.55691 |
| Monique A. Fairclough | 0.550161 |
| injuries | 0.947979 |
| mental health updates | 0.569907 |
| Steven D. Stellman | 0.5445 |
| New York City | 0.78338 |
| numerous storm-related injuries | 0.670037 |
| inundation zone | 0.803801 |
| World Trade Center | 0.545861 |
| WTC Health Registry | 0.584804 |
| injury | 0.705647 |
| Sandy-related injuries | 0.64636 |
| James E. Cone | 0.54478 |
| Mark R. Farfel | 0.549265 |
| injury prevention advice | 0.547796 |
| Robert M. Brackbill | 0.54789 |
| Sandy survey | 0.5967 |
| Hurricane Sandy–flooded areas | 0.553722 |
| clean-up/repair related injuries | 0.627429 |
| electrocution injuries | 0.560033 |
| densely populated areas | 0.54983 |
| persons | 0.63901 |
| multiple injuries | 0.596407 |
| Sandy study sample | 0.595588 |
| NYC inundation zone | 0.61725 |
|
| common injury | 0.54495 |
| inundation zones | 0.861573 |
| Trade Center | 0.547483 |
| metropolitan area | 0.545416 |
| enrollees | 0.544483 |
| York City Metropolitan | 0.563565 |
| injury likely underestimates | 0.561766 |
| different injuries | 0.578868 |
| Hand/arm injuries | 0.573008 |
| Center Health Registry | 0.54365 |
| Nonfatal Injuries | 0.607133 |
| public health | 0.582314 |
| New York | 0.935339 |
| Sandy | 0.6946 |
| data collection | 0.54633 |
| New Jersey | 0.56132 |
| home | 0.602686 |
| household income | 0.609482 |
| Carey B. Maslow | 0.545723 |
| Amanda J. Moy | 0.543576 |
| hurricane-related injuries | 0.57321 |
| pre-hurricane health data | 0.560917 |
| Hurricane Sandy | 0.588805 |
| Mental Hygiene | 0.608516 |
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| 13781 |
Centers for Disease Control and Prevention |
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Bring Your Brave Campaign - Genetic Counselor (912W x 912H) |
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