| 5125 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Study Finds Seat Belt Use Up to 85 Percent Nationally - Press Release: January 4, 2011 |
CDC Study Finds Seat Belt Use Up to 85 Percent Nationally |
| unbelted drivers | 0.542896 |
| public health issues | 0.569776 |
| life-saving difference | 0.539942 |
| CDC | 0.626923 |
| car seat | 0.626867 |
| Mortality Weekly Report | 0.63977 |
| booster seat | 0.625898 |
| simple step | 0.543805 |
| seat belt enforcement | 0.736996 |
| CDC Director Thomas | 0.622072 |
| Disease Control | 0.544665 |
| CDC journal Morbidity | 0.606007 |
| health care-associated infections | 0.569306 |
| secondary law states | 0.585206 |
| police officers | 0.540203 |
| National Electronic Injury | 0.572765 |
| overall seat belt | 0.751745 |
| national average | 0.539924 |
| national norm | 0.545956 |
| secondary enforcement laws | 0.691053 |
| Injury Center | 0.539917 |
| enforcement laws | 0.716986 |
| seat belt laws | 0.776915 |
| motor vehicle safety | 0.615772 |
| emergency department | 0.543467 |
|
| Injury Program data | 0.571682 |
| primary enforcement laws | 0.685955 |
| primary enforcement seat | 0.731812 |
| self-reported seat belt | 0.756034 |
| Behavioral Risk Factor | 0.566293 |
| seat belts | 0.701956 |
| science-based policy actions | 0.564259 |
| percent belt | 0.612988 |
| Vital Signs | 0.603868 |
| crash-related injuries | 0.617769 |
| United States | 0.590483 |
| vigorous enforcement programs | 0.579775 |
| U.S. drivers | 0.551248 |
| North Dakota | 0.544241 |
| key health indicators | 0.569301 |
| U.S. adults | 0.541355 |
| CDC researchers | 0.574761 |
| R. Frieden | 0.545848 |
| seat belt | 0.997395 |
| seat belt policies | 0.700999 |
| enforcement seat belt | 0.777712 |
| CDC Vital Signs | 0.603573 |
| belt use rate | 0.608356 |
| seat belts—cuts | 0.652443 |
|
CLICK HERE |
| 5196 |
Centers for Disease Control and Prevention |
Html |
en |
April 7, 2011: Outbreak of E. coli O157:H7 Infections Associated with In-shell Hazelnuts Epi Curve | E. coli CDC |
FDA, CDC, and Costco warn consumers to avoid Bravo Farms Dutch Style Gouda cheese |
| O157 | 0.367655 |
| average | 0.326387 |
| CDC | 0.332194 |
| E. coli Cases | 0.626731 |
| people | 0.32288 |
| In-shell Hazelnuts Epi | 0.659789 |
| number | 0.322912 |
| Timeline | 0.321166 |
| Persons | 0.323406 |
| person | 0.322292 |
|
| outbreak | 0.611147 |
| H7 Infections Associated | 0.76696 |
| epi curve | 0.619213 |
| epidemic curve | 0.459142 |
| illness onset | 0.444174 |
| time | 0.321325 |
| chart | 0.345604 |
| E. coli | 0.910577 |
| Multistate Outbreak | 0.561065 |
| outbreak strain | 0.549735 |
|
CLICK HERE |
| 6098 |
Centers for Disease Control and Prevention |
Html |
en |
Chromic acid and chromates - 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 |
| 6146 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Media Relations - Press Release: August 2, 2011 |
Majority of U.S. hospitals do not fully support breastfeeding
New CDC report shows missed opportunities for preventing childhood obesity beginning at birth |
| CDC′s national survey | 0.52942 |
| healthy breastfeeding infants | 0.825713 |
| hospital practices | 0.624891 |
| Changing hospital practices | 0.537114 |
| Mortality Weekly Report | 0.511289 |
| hospital staff | 0.450115 |
| lactation consultants | 0.422541 |
| important strategy | 0.43646 |
| model breastfeeding | 0.733008 |
| Health Promotion | 0.432311 |
| mothers | 0.609947 |
| Disease Control | 0.434702 |
| CDC journal Morbidity | 0.517185 |
| state breastfeeding rates | 0.781015 |
| World Breastfeeding | 0.688641 |
| proven hospital practices | 0.554848 |
| baby spend | 0.424039 |
| reduced risk | 0.431484 |
| Low rates | 0.421827 |
| important support systems | 0.560545 |
| health care costs | 0.540564 |
| Successful Breastfeeding | 0.704574 |
| support mothers | 0.58919 |
| important things | 0.427603 |
| Vital Signs | 0.789189 |
|
| children′s health | 0.453295 |
| hospital stay | 0.436967 |
| motor vehicle passenger | 0.499136 |
| U.S. hospitals | 0.604429 |
| percent | 0.438571 |
| critical. Hospitals | 0.499408 |
| cardiovascular health | 0.423308 |
| Baby–Friendly Hospital Initiative | 0.541461 |
| CDC′s mPINC survey | 0.521916 |
| hospitals practice | 0.493212 |
| prescription drug overdose | 0.502902 |
| support many women | 0.451507 |
| key health indicators | 0.507143 |
| Vital Signs report | 0.595304 |
| better hospital support | 0.621655 |
| R. Frieden | 0.433242 |
| Chronic Disease Prevention | 0.508662 |
| childhood obesity | 0.547053 |
| CDC report | 0.440782 |
| breastfeeding | 0.917003 |
| medical costs. Babies | 0.567845 |
| newborn. Breastfeeding | 0.738503 |
| Maternity Practices | 0.429764 |
| CDC Director Thomas | 0.552454 |
|
CLICK HERE |
| 8535 |
Centers for Disease Control and Prevention |
Html |
en |
Secondhand Smoke and Asthma - Tips From Former Smokers |
The Tips From Former Smokers campaign features real people suffering as a result of smoking and exposure to secondhand smoke. |
| good role model | 0.437023 |
| health care provider | 0.453189 |
| milder attacks | 0.378791 |
| Human Services | 0.595613 |
| family member | 0.378558 |
| burning cigarette | 0.376943 |
| U.S. Department | 0.590226 |
| off-campus school events | 0.43821 |
| people’s triggers | 0.408258 |
| Health Promotion | 0.422166 |
| Disease Control | 0.640471 |
| centers | 0.397251 |
| school property | 0.373886 |
| lungs | 0.350665 |
| Involuntary Exposure | 0.370473 |
| secondhand smoke | 0.654367 |
| Long-term control | 0.377293 |
| National Center | 0.419636 |
| asthma attacks | 0.602567 |
| tobacco smoke | 0.628071 |
| asthma | 0.924898 |
| asthma attack | 0.743648 |
| common asthma triggers | 0.731205 |
| Research Triangle Park | 0.427015 |
| helpful tips | 0.37892 |
|
| National Asthma Control | 0.578568 |
| Basic Information | 0.372635 |
| National Toxicology Program | 0.520805 |
| Health Consequences | 0.38089 |
| airways | 0.390271 |
| public areas | 0.376912 |
| Twelfth Edition | 0.369827 |
| Environmental Health Sciences | 0.439471 |
| fine particles | 0.379189 |
| Tobacco smoke—including secondhand | 0.478833 |
| tobacco-free campus policy | 0.44343 |
| asthma medicines2 | 0.514987 |
| Asthma Stats | 0.509688 |
| important way | 0.376032 |
| National Institute | 0.372538 |
| Smoke Causes Disease | 0.504722 |
| Report | 0.337573 |
| breathing | 0.32899 |
| U.S. adults | 0.38111 |
| No-smoking sections | 0.379189 |
| Chronic Disease Prevention | 0.513575 |
| doctor | 0.328486 |
| Surgeon General | 0.426791 |
| care centers | 0.377948 |
|
CLICK HERE |
| 8943 |
Centers for Disease Control and Prevention |
Html |
en |
The Global Polio Eradication Initiative Stop Transmission ofPolio STOP Program - 1999-2013 |
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. |
| national STOP teams | 0.522937 |
| CDC | 0.489239 |
| immunization strengthening activities | 0.515834 |
| STOP model | 0.485379 |
| STOP volunteer field | 0.526907 |
| Polio Eradication Dept | 0.546793 |
| stop program | 0.770092 |
| STOP assignments | 0.534818 |
| polio eradication activities | 0.627552 |
| Melinda Gates Foundation | 0.555923 |
| World Health | 0.643814 |
| country-level immunization programs | 0.488173 |
| Global Polio Eradication | 0.652301 |
| Global Immunization Div | 0.521355 |
| oral poliovirus vaccines | 0.494969 |
| STOP program component | 0.536963 |
| health professionals | 0.489726 |
| data management volunteers | 0.485611 |
| Polio Eradication Initiative | 0.648718 |
| World Health Organization | 0.626942 |
| National STOP staff | 0.523586 |
| data management assignments | 0.497887 |
| capacity-filling polio eradication | 0.550088 |
| health field staff | 0.49671 |
| childhood immunization activities | 0.487678 |
|
| countries | 0.503259 |
| UNICEF country teams | 0.480898 |
| Endgame Strategic Plan | 0.497818 |
| Stop Transmission | 0.542879 |
| STOP supervisors | 0.489494 |
| polio eradication programs | 0.543745 |
| polio program communications | 0.526998 |
| original polio eradication | 0.572395 |
| polio eradication | 0.928857 |
| STOP field assignments | 0.613582 |
| supplementary polio immunization | 0.533939 |
| STOP program concept | 0.52556 |
| immunization programs | 0.508474 |
| Global Immunization Program | 0.493973 |
| programmatic emergency | 0.529797 |
| smallpox eradication program | 0.518071 |
| public health | 0.537146 |
| organize field assignments | 0.499334 |
| staff members | 0.507942 |
| field assignments | 0.666905 |
| World Health Assembly | 0.625585 |
| routine childhood immunization | 0.522226 |
| STOP teams | 0.542561 |
| WPV transmission | 0.48052 |
|
CLICK HERE |
| 11403 |
Centers for Disease Control and Prevention |
Html |
en |
Facts and Statistics: Noise - NIOSH Workplace Safety & Health |
null |
| oc¬cupational hearing loss | 0.679677 |
| United States | 0.494359 |
| carpenters | 0.421436 |
| dBA exchange rate | 0.632107 |
| occupational illness | 0.507765 |
| occupational hearing loss | 0.695095 |
| typical hearing losses | 0.674456 |
| adults | 0.416611 |
| program | 0.416703 |
| noise-related hearing loss | 0.706789 |
| U.S. | 0.41851 |
| typical tools | 0.495309 |
| studies | 0.416688 |
| exposure time | 0.509478 |
| Nutrition Examination Survey | 0.574504 |
| occupational noise | 0.570226 |
| workers | 0.45894 |
| Chart depicting noise | 0.61607 |
|
| nutritional status | 0.494092 |
| cases | 0.45655 |
| NIOSH | 0.507113 |
| level | 0.420379 |
| manufacturing industry | 0.493448 |
| Occupationally-Induced Hearing Loss | 0.676465 |
| old ears | 0.493368 |
| increase | 0.418609 |
| people | 0.418534 |
| Statistics | 0.417061 |
| National Health | 0.492737 |
| DHHS | 0.428662 |
| Publication No. | 0.497878 |
| old carpenter | 0.49168 |
| impairment | 0.42235 |
| worker exposures | 0.522928 |
| NHANES | 0.416824 |
| hearing loss | 0.96784 |
|
CLICK HERE |
| 13532 |
Centers for Disease Control and Prevention |
Html |
en |
Occupational Hydrofluoric Acid Injury from Car and TruckWashing - Washington State, 2001-2013 |
Carolyn K. Reeb-Whitaker, MS1; Carly M. Eckert, MD2; Naomi J. |
| corrosive chemical burns | 0.566668 |
| State Fund workers | 0.571552 |
| HF ingestion | 0.680432 |
| nonhospitalized workers | 0.53975 |
| HF-based truck wash | 0.605244 |
| HF concentration | 0.619943 |
| Chemical Abstracts Service | 0.533992 |
| open wash buckets | 0.545156 |
| Washington State Fund | 0.541184 |
| truck washing | 0.694968 |
| HF burns | 0.644722 |
| car wash industry | 0.644846 |
| compensation medical record | 0.531618 |
| car wash worker | 0.658639 |
| truck wash worker | 0.804762 |
| HF-based wash product | 0.610684 |
| product safety data | 0.608681 |
| calcium gluconate injection | 0.530501 |
| Washington State Department | 0.585955 |
| fatal HF ingestion | 0.664163 |
| injured worker | 0.55182 |
| Potential nonhospitalized burn | 0.576748 |
| exposure route | 0.531749 |
| Washington State | 0.730295 |
|
| HF solution | 0.642939 |
| truck wash workers | 0.61536 |
| occupational HF | 0.687721 |
| occupational HF poisonings | 0.656576 |
| chemical burns | 0.649905 |
| HF exposure | 0.820075 |
| corrosive skin burn | 0.583432 |
| car wash workers | 0.608989 |
| Safety Data Sheets | 0.604244 |
| sulfuric acid | 0.572595 |
| free fluoride ions | 0.528386 |
| permanent partial disability | 0.596887 |
| HF-based products | 0.600594 |
| hazardous alternatives | 0.56363 |
| HF-based wash | 0.613809 |
| workers | 0.735084 |
| calcium gluconate | 0.632332 |
| HF chemical | 0.638189 |
| calcium gluconate administration | 0.537634 |
| industrial wash products | 0.598556 |
| HF-based wash solutions | 0.561466 |
| nonhospitalized burn patients | 0.661019 |
| Exposure information | 0.526239 |
| HF-based wash products | 0.574373 |
|
CLICK HERE |
| 14043 |
Centers for Disease Control and Prevention |
Html |
en |
Hierarchy of Controls - NIOSH Workplace Safety and Health Topic |
null |
| illnesses | 0.347444 |
| engineering control technologies | 0.73037 |
| fundamental method | 0.595448 |
| source | 0.346614 |
| inherently safer systems | 0.811898 |
| major changes | 0.55873 |
| PtD website | 0.660643 |
| control methods | 0.558673 |
| contact | 0.346545 |
| injury | 0.350386 |
| prevention | 0.391309 |
| significant effort | 0.535793 |
| effective control solutions | 0.809913 |
| control details | 0.535647 |
| personal protective equipment | 0.74619 |
| NIOSH | 0.431919 |
| hierarchy | 0.621393 |
| longer term | 0.534842 |
| initial cost | 0.535675 |
| Engineering Controls Database | 0.733482 |
| worker interactions | 0.570913 |
| PtD strategy | 0.652047 |
| long term | 0.538562 |
| designs | 0.349672 |
| development stage | 0.561509 |
|
| PPE programs | 0.639685 |
| high level | 0.550833 |
| cost savings | 0.529541 |
| substitution | 0.434028 |
| instances | 0.350573 |
| idea | 0.346714 |
| protection | 0.345951 |
| representation | 0.354357 |
| inclusion | 0.350551 |
| occupational hazards | 0.625198 |
| engineering controls | 0.951321 |
| procedures | 0.347375 |
| workers | 0.550579 |
| elimination | 0.418824 |
| means | 0.348124 |
| process | 0.485007 |
| occupational injuries | 0.55556 |
| implementation | 0.35053 |
| Well-designed engineering controls | 0.767971 |
| national initiative | 0.566628 |
| considerations | 0.34936 |
| administrative controls | 0.835694 |
| fatalities | 0.362784 |
| worker exposures | 0.774595 |
|
CLICK HERE |
| 15342 |
Centers for Disease Control and Prevention |
Html |
en |
March 28th 2015 1st Quarter Community Meeting FairingtonFarms HOA |
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. |
| free drinking water | 0.580206 |
| lunchtime intake | 0.503515 |
| water dispensers | 0.626306 |
| cafeteria water source | 0.492395 |
| Culligan bottleless water | 0.496745 |
| intervention water sources | 0.541567 |
| water delivery systems | 0.552413 |
| new water source | 0.492491 |
| intervention schools | 0.534219 |
| cafeteria water sources | 0.516993 |
| San Francisco Bay | 0.549821 |
| bottleless water cooler | 0.59737 |
| middle schools | 0.542688 |
| water | 0.978429 |
| traditional drinking fountains | 0.606033 |
| reusable water | 0.492525 |
| traditional water fountains | 0.503357 |
| schools | 0.768801 |
| appealing water sources | 0.578315 |
| water cooler programs | 0.505372 |
| cafeteria water delivery | 0.512134 |
| African American students | 0.501565 |
| low-income middle schools | 0.517492 |
| school water access | 0.516375 |
|
| water sources | 0.793996 |
| study | 0.543082 |
| staff flushed water | 0.493751 |
| cafeteria water | 0.522266 |
| bottled water | 0.49381 |
| lunchtime water consumption | 0.519015 |
| students | 0.704378 |
| Francisco Bay Area | 0.551317 |
| beverage intake | 0.52452 |
| lunchtime beverage intake | 0.497565 |
| water intake | 0.622172 |
| school cafeterias | 0.498249 |
| cups | 0.492775 |
| free water | 0.556389 |
| student sociodemographic characteristics | 0.524538 |
| lunchtime | 0.537253 |
| bottleless water coolers | 0.592469 |
| sub-standard water quality | 0.495167 |
| San Francisco | 0.589153 |
| water delivery sources | 0.493372 |
| reusable water bottles | 0.491602 |
| control schools | 0.556282 |
| free water sources | 0.530317 |
| free potable water | 0.500959 |
|
CLICK HERE |