| 6017 |
Centers for Disease Control and Prevention |
Html |
en |
Trimethylamine - 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 |
| 6462 |
Centers for Disease Control and Prevention |
Html |
en |
Obesity in K-8 Students - New York City, 2006-07 to 2010-11 School Years |
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. |
| school neighborhood poverty | 0.58273 |
| grade children | 0.549821 |
| public health interventions | 0.620418 |
| neighborhood poverty level | 0.561983 |
| Asian/Pacific Islander children | 0.608985 |
| obesity prevention programs | 0.564438 |
| postal code area | 0.562182 |
| public health office | 0.591633 |
| City public school | 0.585763 |
| education public schools | 0.550968 |
| obesity prevalence trends | 0.594882 |
| New York City | 0.96021 |
| public school students | 0.59091 |
| children | 0.67889 |
| school | 0.652973 |
| shows obesity prevalence | 0.599487 |
| school postal code | 0.60941 |
| obesity prevalence | 0.691896 |
| child obesity | 0.548554 |
| poverty level | 0.585933 |
| obesity reduction | 0.549943 |
| body mass index | 0.569503 |
| York City Dept | 0.613604 |
| age groups | 0.577588 |
| pediatric obesity | 0.563653 |
|
| public school children | 0.60315 |
| York City fitness | 0.557308 |
| federal poverty level | 0.567968 |
| K–8 public school | 0.575406 |
| United States | 0.559483 |
| age group | 0.582415 |
| public school data | 0.56175 |
| obese children | 0.553035 |
| school type | 0.548094 |
| group child care | 0.557457 |
| public school | 0.648072 |
| public school population | 0.571083 |
| Asian/Pacific Islander | 0.678625 |
| white children | 0.557586 |
| school postal codes | 0.550181 |
| district public health | 0.549462 |
| Obesity prevalence estimates | 0.58522 |
| largest decrease | 0.553839 |
| school borough | 0.581458 |
| physical education teachers | 0.570859 |
| physical activity | 0.574964 |
| York City Department | 0.60924 |
| childhood obesity | 0.585227 |
| free lunch status | 0.65201 |
|
CLICK HERE |
| 8015 |
Centers for Disease Control and Prevention |
Html |
en |
Why Our Global Work Matters - CDC Global Health |
null |
| Global Work Matters | 0.628451 |
|
|
CLICK HERE |
| 9545 |
Centers for Disease Control and Prevention |
Html |
en |
Infant Mortality - Maternal and Infant Health -Reproductive Health |
Reproductive Health |
| birthday | 0.311974 |
| CDC’s research | 0.363056 |
| key information | 0.369343 |
| ethnicity | 0.31263 |
| United States | 0.533801 |
| south | 0.311193 |
| differences | 0.312461 |
| infant death | 0.504449 |
| State Map | 0.366425 |
| 10-year national objectives | 0.419868 |
| infant mortality | 0.982711 |
| User Guide | 0.361864 |
| number | 0.324913 |
| health risk factors | 0.411977 |
| society | 0.31225 |
| PDF | 0.310954 |
| important marker | 0.36969 |
| Public Use File | 0.359572 |
| causes | 0.326209 |
| birth outcomes | 0.424357 |
| infant mortality rate | 0.831389 |
|
| Healthy People | 0.47745 |
| health care providers | 0.40951 |
| *Source | 0.311027 |
| addition | 0.310976 |
| National Center | 0.364073 |
| infants | 0.31238 |
| Table | 0.311019 |
| infant health | 0.512019 |
| overall health | 0.368144 |
| race | 0.310851 |
| infant deaths | 0.681631 |
| Health Statistics | 0.366724 |
| Period Linked Birth/Infant | 0.411595 |
| population groups | 0.373357 |
| Midwest | 0.311451 |
| live births | 0.594859 |
| infant mortality rates | 0.824197 |
| public health agencies | 0.40768 |
| programs | 0.310903 |
| joint approach | 0.362285 |
|
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| 10056 |
Centers for Disease Control and Prevention |
Html |
en |
U.S. safer when CDC works with other countries to fight infectious diseases | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| health security work | 0.525104 |
| real-time information systems | 0.504824 |
| Mortality Weekly Report | 0.495198 |
| Northern Uganda | 0.49635 |
| Uganda Ministry | 0.502324 |
| Health systems | 0.47899 |
| Respiratory Syndrome Coronavirus | 0.481656 |
| unique health challenges | 0.513103 |
| faster outbreak response | 0.49774 |
| potentially infectious samples | 0.490863 |
| infectious disease threats | 0.505715 |
| Global Health Borders | 0.521768 |
| Uganda project | 0.50144 |
| CDC-approved real-time reverse | 0.476192 |
| Disease Control | 0.465415 |
| emergency response systems | 0.498345 |
| viral hemorrhagic fever | 0.484417 |
| real-time PCR detection | 0.488997 |
| Western Pacific Regional | 0.477309 |
| polymerase chain reaction | 0.475332 |
| Vietnam project | 0.469212 |
| re-emerging pathogens | 0.460856 |
| international airport screening | 0.476777 |
|
| high-risk pathogens | 0.468973 |
| disease detection | 0.537409 |
| World Health Organization | 0.525307 |
| new disease detection | 0.501014 |
| Ebola virus—to measure | 0.480074 |
| Health staff | 0.473266 |
| CDC Director Tom | 0.534642 |
| Health Security demonstration | 0.517384 |
| Vietnam’s Ministry | 0.486057 |
| CDC global health | 0.577774 |
| emergency operations procedures | 0.498228 |
| public health emergencies | 0.518513 |
| CDC’s EOC | 0.502725 |
| Vietnam Ministry | 0.488301 |
| Crimean-Congo hemorrhagic fever | 0.499493 |
| meningococcal disease | 0.461432 |
| high-risk pathogen cases | 0.495377 |
| core IHR requirements | 0.489807 |
| Uganda | 0.554077 |
| International Health Regulations | 0.521341 |
| security projects | 0.460703 |
| public health preparedness | 0.512779 |
| H5N1 outbreaks | 0.457171 |
|
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| 10969 |
Centers for Disease Control and Prevention |
Html |
en |
MERS-Laboratory Testing for MERS-CoV |
CDC Coronavirus: Coronaviruses are common throughout the world. They can infect people and animals. Five different coronaviruses can infect people and make them sick. They usually cause mild to moderate upper-respiratory illness. |
| investigational purposes | 0.661456 |
| active infection | 0.726152 |
| circumstances additional specimens | 0.662152 |
| CDC | 0.843775 |
| FDA-cleared/approved tests | 0.560801 |
| additional confirmatory testing | 0.616652 |
| stool specimens | 0.561091 |
| public health investigators | 0.632961 |
| current case definition | 0.644236 |
| MERS-CoV outbreak | 0.560701 |
| MERS symptoms | 0.575269 |
| rRT-PCR assay | 0.715309 |
| travel industry partners | 0.67345 |
| secondary antibody | 0.640045 |
| Serology testing | 0.582449 |
| CDC investigators | 0.604616 |
| serology tests | 0.801317 |
| specific confirmatory test | 0.629213 |
| ELISA results | 0.569197 |
| IFA results | 0.576045 |
| single negative result | 0.653775 |
| active MERS-CoV infection | 0.874032 |
| virus-infected cells | 0.658375 |
| Real-time reverse-transcription polymerase | 0.653533 |
| IFA assay | 0.636395 |
|
| MERS-CoV serology tests | 0.734997 |
| specific antibodies | 0.826761 |
| MERS disease | 0.578686 |
| single positive target | 0.645902 |
| positive rRT-PCR result | 0.664331 |
| ELISA | 0.584465 |
| different laboratory tests | 0.704199 |
| negative rRT-PCR tests | 0.691043 |
| United States | 0.642599 |
| public health scientists | 0.832736 |
| diagnostic purposes | 0.650633 |
| lab tests | 0.578256 |
| immunofluorescence assay | 0.592508 |
| public health | 0.898539 |
| specific genomic targets | 0.64778 |
| microneutralization assay | 0.776213 |
| molecular tests | 0.77192 |
| negative rRT-PCR test | 0.678434 |
| MERS-CoV serology results | 0.707824 |
| MERS-CoV infection | 0.99837 |
| local public health | 0.67812 |
| previous infection | 0.725597 |
| enzyme-linked immunosorbent assay | 0.696018 |
| clinical sample | 0.727559 |
|
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| 11123 |
Centers for Disease Control and Prevention |
Html |
en |
2008 National Report on Biochemical Indicators of Diet and Nutrition - Trace Elements: Iodine |
null |
| adequate iodine intake | 0.405257 |
| United States | 0.411279 |
| urinary iodine concentration | 0.455212 |
| median concentrations | 0.215237 |
| iodine deficiency | 0.508164 |
| plasma mass spectrometry | 0.209278 |
| urinary iodine | 0.978281 |
| pregnant women | 0.235045 |
| adequate iodine nutrition | 0.370679 |
| iodine supplementation | 0.369336 |
| median urinary iodine | 0.72422 |
| iodine intake | 0.617466 |
| dietary iodine intake | 0.41905 |
| iodine excretion data | 0.349317 |
| Nutrition Examination Survey | 0.250057 |
| iodine level | 0.312266 |
|
| iodine residue | 0.338817 |
| urinary iodine concentrations | 0.795327 |
| iodine excretion | 0.431523 |
| iodine deficiency disorders | 0.448633 |
| World Health Organization | 0.565467 |
| urine iodine excretion | 0.378214 |
| iodine nutrition | 0.459882 |
| U.S. iodine intake | 0.395704 |
| urinary iodine excretion | 0.429561 |
| National Health | 0.204807 |
| Excess iodine intake | 0.412074 |
| percent confidence intervals | 0.261122 |
| Public Health Committee | 0.288103 |
| American Thyroid Association | 0.351048 |
| High iodine intake | 0.412678 |
| stable iodine intake | 0.403349 |
|
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| 13458 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Large Outbreak of Botulism Associatedwith a Church Potluck Meal - Ohio, 2015 |
Carolyn L. McCarty, PhD1,2; Kristina Angelo, DO2,3; Karlyn D. Beer, PhD2,3; Katie Cibulskas-White1; Kim Quinn, MS1; Sietske de Fijter, MS1; Rick Bokanyi, PhD1; Eric St. |
| Public Health Laboratory | 0.689015 |
| potluck foods | 0.669413 |
| botulism outbreaks | 0.694154 |
| botulinum neurotoxin type | 0.879953 |
| Strategic National Stockpile | 0.828895 |
| probable case definition | 0.690782 |
| largest botulism outbreak | 0.794451 |
| Eric St. Germain | 0.685566 |
| health department notification | 0.733083 |
| Brendan R. Jackson | 0.682599 |
| home-canned potatoes | 0.664682 |
| Botulism Associated | 0.748909 |
| Barbara E. Mahon | 0.687543 |
| improperly home-canned potatoes | 0.661473 |
| Fairfield Department | 0.787466 |
| Fairfield Medical Center | 0.845785 |
| Agam K. Rao | 0.690849 |
| potato salad | 0.910573 |
| Zoonotic Infectious Diseases | 0.775891 |
| Ohio Department | 0.707645 |
| potluck meal | 0.950196 |
| public health emergency | 0.731173 |
| 5Fairfield Medical Center | 0.661602 |
| early hospital discharge | 0.646328 |
|
| laboratory-confirmed botulism | 0.7212 |
| homemade potato salad | 0.697702 |
| public health | 0.78893 |
| botulinum toxin | 0.645972 |
| National Center | 0.645219 |
| County Public Health | 0.688906 |
| Carolyn L. McCarty | 0.838655 |
| Karlyn D. Beer | 0.693374 |
| confirmed case status | 0.689131 |
| church potluck meal | 0.94684 |
| emergency department | 0.74768 |
| botulinum antitoxin | 0.739973 |
| established home-canning guidelines | 0.65476 |
| similar clinical features | 0.671833 |
| Public Health Preparedness | 0.687264 |
| 2Epidemic Intelligence Service | 0.651181 |
| Columbus metropolitan area | 0.666215 |
| C. botulinum spores | 0.71966 |
| case definition | 0.709483 |
| Kara Jacobs Slifka | 0.679564 |
| botulism | 0.803631 |
| potluck food | 0.684429 |
| Clostridium botulinum type | 0.726801 |
|
CLICK HERE |
| 13527 |
Centers for Disease Control and Prevention |
Html |
en |
Publications, Data, & Statistics | Contact Lenses | CDC |
CDC - Protect Your Eyes: Healthy and Safe Contact Lens Cleaning and Use. Millions of people use contact lenses every day but lens cleaning practices can lead to eye infections. Hands should be washed before handling contact lenses and contacts should be properly cleaned, disinfected, and stored to ensure eye health and safety. Following your eye doctor’s recommendations and a few simple steps can lead to healthy daily contact lens use. |
| pediatric contact lens | 0.356152 |
| Lam DY | 0.312681 |
| wear contact lens | 0.341539 |
| contact lens users | 0.337717 |
| contact lens risk | 0.337329 |
| Chalmers RL | 0.472701 |
| Cont Lens Anterior | 0.733085 |
| extended-wear contact lens | 0.334071 |
| Kinoshita BT | 0.28361 |
| Stapleton F. Contact | 0.352929 |
| lens materials | 0.306259 |
| Beach MJ | 0.291389 |
| Acanthamoeba keratitis | 0.351261 |
| Lens Anterior Eye. | 0.733067 |
| Study Group | 0.28165 |
| contact lenses | 0.417087 |
| contact lens case | 0.34969 |
| risk factors | 0.342736 |
| F. Contact lens | 0.350097 |
| Stapleton F. | 0.391309 |
| Contact lens wearer | 0.333375 |
| microbial keratitis | 0.312297 |
| contact lens storage | 0.335809 |
| multiple contact lens | 0.331789 |
| contact lens hygiene | 0.310353 |
|
| soft contact lens | 0.381679 |
| contact lens wearers | 0.385076 |
| contact lens postmarket | 0.323913 |
| disposable contact lens | 0.321349 |
| United States | 0.288696 |
| cosmetic contact lenses | 0.296543 |
| Eye Contact Lens. | 0.810076 |
| lens replacement | 0.292958 |
| contact lens wear | 0.510764 |
| safe lens wear | 0.298044 |
| silicone hydrogel | 0.317271 |
| contact lens assessment | 0.347294 |
| silicone hydrogel lenses | 0.298831 |
| corneal infiltrative events | 0.294927 |
| disposable contact lenses | 0.305594 |
| lens storage cases | 0.289235 |
| lens case biofilm | 0.287012 |
| lens storage case | 0.328768 |
| contact lens compliance | 0.354469 |
| contact lens solution | 0.409927 |
| lens case contamination | 0.328777 |
| contact lens cases | 0.340368 |
| contact lens solutions | 0.331318 |
| Optom Vis Sci. | 0.900611 |
|
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| 16039 |
Centers for Disease Control and Prevention |
Html |
en |
Dental Sealants Prevent Cavities - Vital Signs |
Dental sealants are effective but underused protection against cavities. Start or expand programs that offer sealants to children at school |
| dental sealants | 0.71439 |
| dental fillings | 0.208142 |
| health department clinics | 0.392247 |
| sealants | 0.843271 |
| community dental clinics | 0.260037 |
| Help schools | 0.249723 |
| permanent molars | 0.210203 |
| local health department | 0.387882 |
| Health Insurance Program | 0.261416 |
| school-based sealant program | 0.401241 |
| higher-income children | 0.214488 |
| children | 0.608536 |
| dental sealant program | 0.365592 |
| low-income children | 0.349619 |
| Target school-based sealant | 0.559724 |
| school-based dental sealant | 0.482308 |
| cost-effective manner | 0.271562 |
| dental offices | 0.263029 |
| dental programs | 0.21685 |
| teeth | 0.213425 |
|
| dental treatment costs | 0.270037 |
| cavities | 0.575035 |
| dental sealant programs | 0.477906 |
| sealant programs | 0.984772 |
| local dental offices | 0.258274 |
| essential health benefit | 0.248698 |
| pediatric dental services | 0.270989 |
| dental insurance | 0.203895 |
| public health programs | 0.256013 |
| untreated cavities | 0.384836 |
| Affordable Care Act | 0.246764 |
| school-based sealant programs | 0.964061 |
| community health centers | 0.532129 |
| portable dental equipment | 0.280419 |
| Implement policies | 0.26972 |
| School-age children | 0.220815 |
| schools | 0.283851 |
| dental providers | 0.333927 |
| molar cavities | 0.326846 |
| dental hygienist | 0.213046 |
|
CLICK HERE |