| 5740 |
Centers for Disease Control and Prevention |
Html |
en |
Dinitro-o-cresol - 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 |
| 5758 |
Centers for Disease Control and Prevention |
Html |
en |
TEDP - 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 |
| 6283 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Summary: September 22, 2011 |
MMWR News Summary: September 22, 2011 |
| pertussis transmission | 0.606964 |
| rural Alaska Native | 0.991864 |
| National Institute | 0.549985 |
| times more cavities | 0.591477 |
| acute illness | 0.542163 |
| Td booster. Persons | 0.641636 |
| box springs | 0.54142 |
| fluoride varnishes | 0.546098 |
| one-time dose | 0.539846 |
| nonchemical methods | 0.552841 |
| U.S. children | 0.547132 |
| bacterial vaccine-preventable disease | 0.648452 |
| Alaska Native children | 0.6682 |
| effective insecticides | 0.575351 |
| bed bugs | 0.832447 |
| Tdap vaccine. BOOSTRIX | 0.637362 |
| Fred Blosser | 0.573187 |
| ineffective notification | 0.555838 |
| bed bug–related issues | 0.671709 |
| CDC Division | 0.84869 |
| water fluoridation | 0.630308 |
| health effects | 0.554635 |
| certified applicators | 0.549608 |
| United States. Pertussis | 0.724479 |
|
| federally funded pesticide | 0.67714 |
| gastrointestinal effects. | 0.545627 |
| additional preventive services | 0.648953 |
| change pesticide-treated bedding | 0.661585 |
| dental cavities | 0.760232 |
| illness surveillance program | 0.662491 |
| relatively inexpensive method | 0.649133 |
| excessive insecticide application | 0.675004 |
| bed bug infestation | 0.669305 |
| Electronic Media | 0.823339 |
| Occupational Safety | 0.543269 |
| fluoridated water | 0.54191 |
| public health burden | 0.679677 |
| frequent soda-pop consumption | 0.660022 |
| pesticide application. | 0.552889 |
| Alaska Native villages | 0.685274 |
| private residences | 0.545308 |
| preventive measures | 0.541606 |
| media campaigns | 0.541534 |
| in-home water | 0.539435 |
| dental cavities severity | 0.716888 |
| Native villages. Children | 0.663735 |
| dental health | 0.549271 |
| pertussis exposure | 0.612933 |
|
CLICK HERE |
| 6788 |
Centers for Disease Control and Prevention |
Html |
en |
QuickStats: Prevalence of Obesity* Among Persons Aged 12-19 Years, by Race/Ethnicity and Sex - National Health and Nutrition Examination Survey, United States, 2009-2010 |
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. |
| mmwrq@cdc.gov. | 0.504159 |
| endorsement | 0.447818 |
| Alternate Text | 0.494715 |
| Human Services | 0.578787 |
| Hispanic males | 0.673039 |
| assistive technology | 0.51034 |
| U.S. Department | 0.574617 |
| MMWR HTML versions | 0.561093 |
| identification | 0.415447 |
| electronic PDF version | 0.556498 |
| e-mail | 0.435128 |
| non-Hispanic white females | 0.967662 |
| Nutrition Examination Survey | 0.575708 |
| obesity | 0.467522 |
| Contact GPO | 0.505666 |
| commercial sources | 0.492942 |
| National Health | 0.496899 |
| current prices | 0.487414 |
| persons | 0.434755 |
| original paper copy | 0.552506 |
| Hispanic females | 0.678856 |
| United States | 0.497544 |
| original MMWR paper | 0.557528 |
| Superintendent | 0.41699 |
|
| assistance | 0.417932 |
| title | 0.416873 |
| non-Hispanic white males. | 0.743145 |
| non-Hispanic black females | 0.96896 |
| MMWR readers | 0.492984 |
| character translation | 0.487737 |
| race/ethnicity | 0.416249 |
| prevalence | 0.475905 |
| file | 0.418045 |
| format errors | 0.48802 |
| subject line | 0.501271 |
| sex | 0.416241 |
| typeset documents | 0.491548 |
| trade names | 0.493014 |
| official text | 0.485132 |
| non-CDC sites | 0.490383 |
| non-Hispanic black males | 0.963057 |
| non-Hispanic white males | 0.8019 |
| References | 0.415289 |
| report | 0.416861 |
| information | 0.418058 |
| Accommodation | 0.416886 |
| electronic conversions | 0.485627 |
| printable versions | 0.483119 |
|
CLICK HERE |
| 7755 |
Centers for Disease Control and Prevention |
Html |
en |
Mumps Outbreak on a University Campus - California,2011 |
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. |
| congregate housing | 0.503349 |
| MMR vaccination | 0.767393 |
| public health authorities | 0.772197 |
| mumps vaccination clinic | 0.679298 |
| mumps patients | 0.620455 |
| clinically suspected mumps | 0.615659 |
| mumps vaccination status | 0.626172 |
| mumps IgM | 0.595805 |
| prematriculation MMR vaccination | 0.59952 |
| acute mumps | 0.594555 |
| mumps virus | 0.57581 |
| student medical records | 0.57497 |
| student health services | 0.663675 |
| public health officials | 0.522393 |
| Jonathan J. Nunez | 0.490966 |
| previous mumps outbreaks | 0.668723 |
| Western Europe | 0.526363 |
| 2-dose MMR vaccination | 0.554875 |
| University Health Svcs | 0.490146 |
| mumps infections | 0.576952 |
| public health review | 0.492268 |
| time public health | 0.495105 |
| mumps vaccine | 0.654364 |
| U.S. mumps cases | 0.61673 |
|
| mumps | 0.93442 |
| mumps incidence | 0.573726 |
| doses | 0.500142 |
| mumps outbreaks | 0.725771 |
| health staff member | 0.518957 |
| university | 0.528185 |
| public health staff | 0.527196 |
| students | 0.503473 |
| local health department | 0.677018 |
| mumps serological testing | 0.631177 |
| epidemiologic links | 0.501642 |
| source patient | 0.625465 |
| local health departments | 0.517879 |
| public health | 0.903055 |
| large mumps outbreaks | 0.625096 |
| Mumps serologies | 0.598805 |
| mumps symptoms | 0.63883 |
| mumps cases | 0.708738 |
| MMR vaccination rates | 0.559886 |
| previous MMR vaccination | 0.564032 |
| MMR vaccination requirement | 0.547225 |
| control measures | 0.524212 |
| mumps illnesses | 0.611534 |
| predominant mumps | 0.591751 |
|
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| 7827 |
Centers for Disease Control and Prevention |
Html |
en |
Latex Allergy - Health Communication |
Latex Allergy - Gateway to Health Communication - CDC |
| allergy-causing latex proteins | 0.699473 |
| health care industry | 0.711666 |
| everyday products | 0.489743 |
| runny nose | 0.508461 |
| substantial lifestyle changes | 0.567045 |
| productive lives | 0.5006 |
| sneezing spells | 0.49491 |
| food service industry | 0.555184 |
| problem | 0.429757 |
| latex gloves | 0.824423 |
| work force | 0.4892 |
| latex products | 0.648516 |
| affected person | 0.486667 |
| infectious materials | 0.566391 |
| skin testing | 0.481721 |
| natural latex | 0.650183 |
| powder-free gloves | 0.525436 |
| family life | 0.483749 |
| standardized methods | 0.48472 |
| rare cases | 0.500388 |
| little chance | 0.485081 |
| appropriate protection | 0.484062 |
| severe latex allergy | 0.746097 |
| children’s toys | 0.492898 |
| food service workers | 0.577896 |
|
| latex exposure | 0.632518 |
| non-latex gloves | 0.533047 |
| scratchy throat | 0.506336 |
| general population | 0.485995 |
| latex asthma | 0.641822 |
| emergency room nurse | 0.544868 |
| natural rubber latex | 0.761229 |
| FDA-approved materials | 0.486846 |
| itchy eyes | 0.501644 |
| certain proteins | 0.49957 |
| overall statistics | 0.487007 |
| clinical symptoms | 0.483201 |
| true allergy | 0.543261 |
| hospital workers | 0.501831 |
| health care workers | 0.577945 |
| additional allergy tests | 0.61086 |
| skin redness | 0.499237 |
| allergic reaction | 0.491201 |
| hard work | 0.49497 |
| latex allergy | 0.941033 |
| people | 0.432971 |
| allergic reactions | 0.505342 |
| potentially serious health | 0.495151 |
| risk | 0.443018 |
|
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| 8740 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | Feasibility and Acceptabilityof Internet Grocery Service in an Urban Food Desert, Chicago,2011-2012 - CDC |
We explored the feasibility and acceptability of an Internet grocery service (IGS) as an approach to improving food access in urban neighborhoods. |
| IGS expenditures | 0.757113 |
| home Internet | 0.675256 |
| caloric beverages | 0.807937 |
| total pre-tax food | 0.677674 |
| IGS food purchases | 0.868207 |
| new supermarket development | 0.623563 |
| caloric nondairy beverages | 0.652476 |
| commercial IGS | 0.782683 |
| food desert households | 0.663717 |
| Rush University Medical | 0.702397 |
| IGS food | 0.887232 |
| IGS voucher | 0.753587 |
| field test | 0.620605 |
| competitive prices | 0.621199 |
| supplemental food sources | 0.686583 |
| delivery time window | 0.619206 |
| Internet grocery service | 0.63337 |
| IGS feasibility | 0.742881 |
| urban food desert | 0.704047 |
| well-implemented IGS | 0.743028 |
| University Medical Center | 0.79105 |
| urban food access | 0.953454 |
| urban food deserts | 0.671335 |
| food prices | 0.618011 |
| food stamps | 0.618321 |
|
| discretionary caloric beverages | 0.671752 |
| Gittelsohn J. Access | 0.616583 |
| local food environment | 0.651797 |
| Public Health | 0.649129 |
| feasibility pilot study | 0.652316 |
| new food source | 0.662498 |
| potential transportation barriers | 0.619841 |
| new supermarket construction | 0.620308 |
| Food Assistance Program | 0.673545 |
| IGS acceptability | 0.794682 |
| marital status | 0.617096 |
| Chicago food desert | 0.790313 |
| participants | 0.662264 |
| food purchasing patterns | 0.79354 |
| future IGS | 0.898052 |
| delivery fees | 0.627509 |
| home Internet service | 0.620725 |
| pre-tax food expenditures | 0.778209 |
| home Internet access | 0.650866 |
| delivers healthful foods | 0.619897 |
| household income | 0.612022 |
| Public Health Service | 0.613259 |
| IGS programs | 0.82602 |
| household food purchases | 0.682576 |
|
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| 10730 |
Centers for Disease Control and Prevention |
Html |
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EMF (Electric and Magnetic Fields) - NIOSH Workplace Safety and Health Topic |
NIOSH research on protecting workers from proven and possible EMF health risks |
| Federal Communications Commission | 0.428298 |
| EMF RAPID program | 0.418095 |
| elf electromagnetic fields | 0.558721 |
| Radiation Protection Board | 0.449448 |
| Mobile Phones | 0.509656 |
| NIOSH studies | 0.433343 |
| Magnetic Field Exposures | 0.517545 |
| health standards | 0.399536 |
| NRPB Documents Volume | 0.411585 |
| EMF health risks | 0.570771 |
| National Radiation Protection | 0.452668 |
| ELF-EMF health risks | 0.415899 |
| ELF radiation | 0.403116 |
| EMF | 0.578521 |
| NIOSH research | 0.411303 |
| NIOSH Fact Sheet | 0.406914 |
| magnetic fields | 0.616847 |
| World Health Organization | 0.463961 |
| Measuring Occupational Electric | 0.448659 |
| potential health risks | 0.500608 |
| highly-respected international program | 0.443974 |
| electromagnetic fields | 0.559363 |
| possible health effects | 0.473351 |
| health effects | 0.6674 |
|
| EMF Measurement Database | 0.407871 |
| Health Protection Agency | 0.468929 |
| cell phones health | 0.450963 |
| National Toxicology Program | 0.433942 |
| EMF exposure limits | 0.422197 |
| California EMF Program | 0.536383 |
| Environmental Health Sciences | 0.46116 |
| EMF emissions | 0.432788 |
| NIOSH Publication No. | 0.820616 |
| Radiofrequency Electromagnetic Fields | 0.467073 |
| International EMF Project | 0.412328 |
| ELF magnetic fields | 0.413021 |
| possible health risks | 0.563263 |
| ELF EMF | 0.546097 |
| potential harmful effects | 0.428366 |
| video display terminals | 0.963572 |
| cell phones | 0.734048 |
| Radio Frequency Safety | 0.429503 |
| occupational exposures | 0.403068 |
| occupational ELF-EMF exposures | 0.408959 |
| EMF exposures | 0.444587 |
| health risks | 0.69677 |
| extremely low frequency | 0.667527 |
| animal cancer assay | 0.432295 |
|
CLICK HERE |
| 13534 |
Centers for Disease Control and Prevention |
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Lead Poisoning and Anemia Associated with Use of AyurvedicMedications Purchased on the Internet - Wisconsin, 2015 |
Jon Meiman, MD1,2; Robert Thiboldeaux, PhD2; Henry Anderson, MD2. |
| 1Epidemic Intelligence Service | 0.771089 |
| United States | 0.792189 |
| Urine toxic metals | 0.822945 |
| Vata Chintamani Rasa | 0.798585 |
| chelation therapy | 0.806149 |
| daily MG | 0.735695 |
| Shree Dhootapapeshwar Limited | 0.783422 |
| Wisconsin public health | 0.830198 |
| U.S. Environmental Protection | 0.782173 |
| possible environmental sources | 0.795783 |
| human health | 0.727112 |
| local health department | 0.850808 |
| Wisconsin Division | 0.722339 |
| endogenous physiologic role | 0.782244 |
| elevated blood lead | 0.87355 |
| Ayurvedic medication | 0.807831 |
| earlier reported risk | 0.776736 |
| highly toxic substance | 0.774503 |
| normal range | 0.804711 |
| Ayurvedic medications | 0.917543 |
| toxic metals | 0.859353 |
| local health departments | 0.840873 |
| inpatient medical evaluation | 0.792816 |
| public health | 0.962488 |
|
| peripheral blood smear | 0.795889 |
| lead-based herbal medicine | 0.7648 |
| female patient | 0.747079 |
| water lead level | 0.823907 |
| furnace atomic absorption | 0.773182 |
| Ayurvedic medicines | 0.748148 |
| Occupational Health | 0.717969 |
| optical emission spectroscopy | 0.774746 |
| outpatient lead | 0.735976 |
| BLL testing results | 0.876133 |
| Wisconsin State Laboratory | 0.79247 |
| local public health | 0.816469 |
| putative health benefits | 0.800589 |
| lead shot | 0.733934 |
| lead poisoning | 0.733678 |
| health problems | 0.719508 |
| oral meso-2,3-dimercaptosuccinic acid | 0.778715 |
| Jon Meiman | 0.798887 |
| single BLL | 0.780067 |
| Sri Ayurveda Trust | 0.777929 |
| case report confirms | 0.77172 |
| urine arsenic levels | 0.847252 |
| inductively coupled plasma | 0.779558 |
|
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| 15418 |
Centers for Disease Control and Prevention |
Html |
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Leveling of Tuberculosis Incidence - United States,2013-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| annual TB surveillance | 0.430014 |
| latent TB infection | 0.586186 |
| foreign-born persons | 0.53682 |
| additional TB cases | 0.440814 |
| overall national tb | 0.495248 |
| tb prevention | 0.434561 |
| unrounded incidence | 0.267233 |
| annual TB incidence | 0.509427 |
| TB surveillance report | 0.429863 |
| active TB disease | 0.418088 |
| lowest incidence | 0.275709 |
| Native Hawaiians/other Pacific | 0.328812 |
| provisional national tuberculosis | 0.281013 |
| non-Hispanic persons | 0.270083 |
| untreated latent TB | 0.417031 |
| foreign-born population | 0.274053 |
| TB patients | 0.40787 |
| final TB case | 0.411208 |
| West South Central | 0.279881 |
| TB incidence | 0.92999 |
| Hawaiians/other Pacific Islanders | 0.32876 |
| U.S. foreign-born persons | 0.295381 |
| infectious TB | 0.398621 |
| TB case | 0.521886 |
|
| National Tuberculosis Surveillance | 0.3976 |
| U.S.-born persons | 0.362383 |
| total U.S. cases | 0.273507 |
| United States | 0.680295 |
| higher TB incidence | 0.470731 |
| incident TB | 0.442944 |
| 100,000 | 0.31768 |
| TB elimination | 0.485206 |
| TB disease | 0.440435 |
| TB transmission | 0.523338 |
| highest case count | 0.282461 |
| State-specific incidence | 0.278405 |
| TB resurgence | 0.403718 |
| verified TB cases | 0.487286 |
| American Indians/Alaska Natives | 0.328916 |
| median state incidence | 0.29886 |
| national TB incidence | 0.548965 |
| TB cases | 0.745286 |
| ongoing TB transmission | 0.408057 |
| Year-to-year TB incidence | 0.463112 |
| U.S. TB cases | 0.441774 |
| highest TB incidence | 0.492277 |
| TB outbreaks | 0.400288 |
| highest incidence | 0.295788 |
|
CLICK HERE |