| 4931 |
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Bats and Rabies - Rabies |
Bats play an important role in ecosystems; but they are often misunderstood. Learn more about bats and rabies; but be safe; never handle a bat. |
| damage | 0.465151 |
| habits | 0.461077 |
| seed | 0.462838 |
| crops | 0.467854 |
| birds | 0.45418 |
| rodents | 0.473284 |
| bats | 0.963153 |
| local populations | 0.693476 |
| bat | 0.531578 |
| unique mammals | 0.693011 |
| best protection | 0.678994 |
| plants | 0.459497 |
| things | 0.454583 |
| value | 0.453806 |
|
| rain forests | 0.733756 |
| development | 0.45551 |
| key roles | 0.723571 |
| rabies | 0.736296 |
| insects | 0.468589 |
| people | 0.454823 |
| blood | 0.4524 |
| Studies | 0.455806 |
| navigational aids | 0.704316 |
| deserts | 0.480963 |
| globe | 0.466083 |
| species | 0.454979 |
| farms | 0.460773 |
| ecosystems | 0.471769 |
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| 5041 |
Centers for Disease Control and Prevention |
Html |
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Children's BMI Tool for Schools |
The Children's BMI Tool for Schools is an Excel spreadsheet intended for use by school, child care, and other professionals who want to compute Body Mass Index (BMI)-for-age for a group of up to 2000 children, for example a school class room or grade. Learn more. |
| data collection procedures | 0.365557 |
| physical education | 0.241578 |
| school-based BMI measurement | 0.683834 |
| BMI information | 0.510275 |
| outlines needs | 0.249857 |
| appropriate expertise | 0.259471 |
| actual BMI-for-age percentiles | 0.394192 |
| appropriate follow-up actions | 0.37645 |
| measurement information | 0.280393 |
| School Health. | 0.249636 |
| Excel spreadsheet | 0.464612 |
| BMI number | 0.495886 |
| current practices | 0.257377 |
| appropriate process | 0.260114 |
| child care | 0.27588 |
| BMI results | 0.481114 |
| Mass Index Measurement | 0.371554 |
| future research | 0.256808 |
| weight measurements | 0.298052 |
| BMI percentiles | 0.600009 |
| school-based BMI surveillance | 0.910218 |
| reliable results | 0.244472 |
| school staff | 0.256273 |
| Nihiser AJ | 0.246491 |
|
| potential positive impact | 0.382045 |
| height | 0.260596 |
| Body Mass Index | 0.860921 |
| Lee SM | 0.247417 |
| Safeguard | 0.420254 |
| specific safeguards | 0.274274 |
| parental consent | 0.255756 |
| effective follow-up | 0.250191 |
| respectful explanation | 0.251972 |
| BMI measurement program | 0.599476 |
| BMI-for-age categories | 0.270377 |
| staff members | 0.249357 |
| healthy weight | 0.257089 |
| Mass Index Measurements | 0.374623 |
| data file | 0.27422 |
| unintended consequences | 0.246311 |
| data collection | 0.383095 |
| health education class | 0.359578 |
| group summary | 0.415905 |
| BMI Tool | 0.563189 |
| individual children | 0.279675 |
| schools | 0.233801 |
| Enable Macros | 0.254241 |
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Centers for Disease Control and Prevention |
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Barium sulfate - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
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| page | 0.276773 |
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| 6581 |
Centers for Disease Control and Prevention |
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Trial Highlights Importance of CDC Work In the Field | About | CDC |
In 2008, CDC malaria expert Dr. Mary Hamel learned that the Malaria Vaccine Institute was looking for leading research institutions in Africa to conduct Phase III clinical trials of the world’s most advanced malaria candidate vaccine, RTS,S/AS01. Recognizing that CDC’s nearly 30 years of collaboration on malaria research with the Kenya Medical Research Institute (KEMRI), would uniquely qualify it for serving as vaccine trial site, she told herself: 'We must apply.' |
| malaria interventions | 0.818779 |
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| encouraging trial | 0.54093 |
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| study team | 0.528971 |
| Dr. Kayla Laserson | 0.658217 |
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| future vaccine trials | 0.69544 |
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| CDC-Kenya Country Director | 0.632842 |
| KEMRI/CDC Research | 0.569552 |
| Dr. Robert Breiman | 0.636335 |
| KEMRI/CDC Health | 0.53835 |
| age range | 0.52991 |
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| diagnostic support | 0.533937 |
|
| malaria vaccine trial | 0.918733 |
| indoor residual insecticide | 0.611499 |
| insecticide-treated bed nets | 0.632399 |
| high quality research | 0.628791 |
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| vaccine trials—rotavirus | 0.584466 |
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| malaria control | 0.726507 |
| African children | 0.530376 |
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| long-standing relationship KEMRI/CDC | 0.632858 |
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| 7426 |
Centers for Disease Control and Prevention |
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FEMA-Provided Travel Trailer Study |
NCEH provides leadership to promote health and quality of life by preventing or controlling those diseases, birth defects, or disabilities resulting from interaction between people and the environment. Site has information/education resources on a broad range of topics, including asthma, birth defects, radiation, sanitation, lead in blood, and more. |
| list Skip | 0.796934 |
| CDC | 0.444688 |
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| occurrence | 0.439109 |
| travel trailers | 0.586356 |
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|
| navigation Skip | 0.800473 |
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| aftermath | 0.450071 |
| symptoms | 0.43204 |
| exposure | 0.439827 |
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| Hurricane Katrina | 0.639432 |
|
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| 7689 |
Centers for Disease Control and Prevention |
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en |
Indoor Air Quality at Nine Large-Hub Airports With andWithout Designated Smoking Areas - United States, October-November2012 |
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. |
| average RSP level | 0.436769 |
| general public | 0.368317 |
| average number | 0.455354 |
| indoor air quality | 0.421812 |
| smoker density | 0.485123 |
| burning cigarettes | 0.467788 |
| de-identified airports | 0.403335 |
| seating sections | 0.403801 |
| state smoke-free laws | 0.389786 |
| passenger boarding | 0.397113 |
| Washington Dulles International | 0.370941 |
| MMWR Early Release | 0.369647 |
| Health Promotion | 0.368313 |
| large-hub airports | 0.454827 |
| Fort Lauderdale-Hollywood International | 0.370972 |
| respirable suspended particulates | 0.368522 |
| indoor smoking areas | 0.504985 |
| SHS leakage | 0.399998 |
| smoking-permitted areas | 0.90995 |
| smoking rooms | 0.414583 |
| average smoker density | 0.40516 |
| smoking areas | 0.838443 |
| Lake City International | 0.371229 |
| smoking behavior | 0.386169 |
|
| airports | 0.646887 |
| risk-free level | 0.373211 |
| nonsmoking areas | 0.486252 |
| SHS exposure | 0.651232 |
| observed PM2.5 levels | 0.464554 |
| indoor areas | 0.472625 |
| adjacent areas | 0.407091 |
| large-hub U.S. airports | 0.595658 |
| Sky Harbor International | 0.368956 |
| smoking-permitted bars | 0.37455 |
| adjacent smoking-permitted areas | 0.425709 |
| Public Health | 0.423676 |
| involuntary SHS exposure | 0.474853 |
| comprehensive smoke-free laws | 0.389737 |
| average level | 0.547189 |
| smoke-free airports | 0.567301 |
| related health problems | 0.368753 |
| large smoking-permitted areas | 0.41361 |
| smoke-free policies | 0.427477 |
| PM2.5 levels | 0.586994 |
| smoking-restricted areas | 0.368869 |
| average PM2.5 level | 0.766846 |
| Hartsfield-Jackson Atlanta International | 0.372046 |
| airport authority levels | 0.377106 |
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| 9919 |
Centers for Disease Control and Prevention |
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NIOSH Program Portfolio : Small Business Assistance and Outreach : Projects |
The mission of the Small Business Assistance and Outreach Program is to minimize and eliminate occupational illnesses, injuries, and hazardous exposures in small enterprises through a focused program of research, prevention efforts, and public health activities. |
| construction workers | 0.527361 |
| new solutions | 0.526843 |
| practical control measures | 0.565852 |
| simple solutions-based information | 0.622118 |
| nail technicians | 0.519001 |
| interactive database | 0.516076 |
| extremely important segment | 0.580656 |
| NIOSH website | 0.512601 |
| Workplace Solutions | 0.556188 |
| small business workplaces | 0.651171 |
| nail salons | 0.519639 |
| small businesses | 0.672361 |
| popular training method | 0.585804 |
| health measures | 0.51535 |
| larger businesses | 0.515815 |
| concise information | 0.532489 |
| construction industry partners | 0.606529 |
| local construction contractors | 0.605403 |
| small business owners | 0.646244 |
| health problems | 0.523927 |
| new NORA emphasis | 0.612366 |
| research optimal ventilation | 0.588975 |
| mixture exposure levels | 0.572715 |
| small business environment | 0.656303 |
| cosmetology services industry | 0.579191 |
|
| construction hazards | 0.544699 |
| Construction Safety | 0.536413 |
| small business segments | 0.641895 |
| Construction Solutions database | 0.655322 |
| workplace safety | 0.545746 |
| small business community | 0.793656 |
| nail salon settings | 0.592947 |
| nail technician school | 0.606664 |
| true case histories | 0.567354 |
| workplace risk reduction | 0.597929 |
| workplace practices | 0.525199 |
| small NORA pilot | 0.62376 |
| health database | 0.558063 |
| hazard information | 0.528316 |
| professional organizations | 0.513521 |
| small business | 0.938895 |
| future intervention study | 0.57606 |
| construction industry—toolbox | 0.529862 |
| small business partners | 0.657364 |
| occupational safety | 0.598263 |
| educational workplace exposure/risk | 0.59992 |
| peer-reviewed WPS database | 0.640509 |
| safety solutions | 0.529423 |
| pilot data | 0.570682 |
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Pertussis | Prevention | Healthcare Personnel | CDC |
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| healthcare personnel | 0.977564 |
| direct patient contact | 0.407228 |
| Acellular Pertussis Vaccines | 0.605252 |
| Personal médico | 0.243363 |
| Reduced Diphtheria Toxoid | 0.78804 |
| previous Td dose | 0.479234 |
| Acellular Pertussis | 0.630732 |
| CDC. Updated Recommendations | 0.358656 |
| mild local reactogenicity | 0.406975 |
| primary care providers | 0.390718 |
| Immunization Practices | 0.410684 |
| clerical workers | 0.220562 |
| Advisory Committee | 0.512334 |
| adult patients | 0.224526 |
|
| Social workers | 0.212075 |
| medical service personnel | 0.405257 |
| Healthcare Infection Control | 0.386544 |
| outpatient clinics | 0.226078 |
| long-term care facilities | 0.410523 |
| CDC. Preventing Tetanus | 0.434946 |
| Practices Advisory Committee | 0.368758 |
| emergency departments | 0.218286 |
| Tetanus Toxoid | 0.442633 |
| shorter intervals | 0.235106 |
| Tdap vaccination | 0.227285 |
| various healthcare settings | 0.466579 |
| single dose | 0.25562 |
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Partners | Rodents |
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| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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| 15705 |
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Zika is in Your Area: What To Do |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| mosquito bites | 0.511746 |
| Zika infection | 0.512616 |
| Zika virus | 0.805527 |
| prenatal care visit | 0.672971 |
| possible Zika virus | 0.588097 |
| pregnant women | 0.672357 |
| spray insect | 0.478674 |
| area | 0.472978 |
| red eyes | 0.562544 |
| breastfeeding women | 0.488957 |
| oral sex | 0.487221 |
| pregnancy | 0.507011 |
| EPA-registered insect repellents | 0.553532 |
| Zika travel notice | 0.737451 |
| symptoms | 0.584184 |
| Guillain-Barré syndrome | 0.491477 |
| product label | 0.484746 |
| Zika virus outbreak | 0.58192 |
| healthcare providers | 0.533975 |
| door screens | 0.476028 |
| condoms | 0.503657 |
| potential risks | 0.472746 |
| sex partners | 0.493758 |
| rare disorder | 0.491401 |
|
| air conditioning | 0.477233 |
| United States | 0.477714 |
| long pants | 0.483578 |
| long-sleeved shirts | 0.482513 |
| Zika virus infection | 0.584166 |
| Zika | 0.985892 |
| pre-treated items | 0.491073 |
| Pregnant couples | 0.517816 |
| couple’s situation | 0.473822 |
| nonsteroidal anti-inflammatory drugs | 0.542619 |
| CDC Zika travel | 0.655133 |
| permethrin-treated clothing | 0.482938 |
| sexual transmission | 0.475833 |
| sex | 0.566848 |
| muscle weakness | 0.490552 |
| joint pain | 0.557906 |
| birth defects | 0.490233 |
| people | 0.483582 |
| infected person | 0.497701 |
| infected mosquito | 0.612353 |
| bed net | 0.481925 |
| sex toys | 0.489734 |
| lemon eucalyptus | 0.481869 |
| risk | 0.532331 |
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