| 929 |
Centers for Disease Control and Prevention |
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CDC Reports Flu Hit Younger People Particularly Hard This Season | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| influenza infection | 0.38278 |
| Mortality Weekly Report | 0.364859 |
| flu activity | 0.536708 |
| H1N1 virus | 0.342574 |
| better flu vaccines | 0.455078 |
| currently circulating H1N1 | 0.349845 |
| Disease Control | 0.289409 |
| season | 0.564401 |
| pandemic season | 0.31174 |
| best preventive tool | 0.331494 |
| flu surveillance data | 0.486788 |
| Director Tom Frieden | 0.375058 |
| flu hospitalizations | 0.532878 |
| flu illness | 0.556939 |
| age groups | 0.287007 |
| H1N1 viruses | 0.287409 |
| People age | 0.318226 |
| antiviral treatment guidance | 0.339187 |
| Younger people | 0.316617 |
| high risk | 0.400061 |
| second-highest hospitalization rate | 0.468042 |
| older people | 0.295299 |
| middle-age adults | 0.292254 |
| difficult reminder | 0.287861 |
| Vaccine Best Tool | 0.35971 |
|
| influenza | 0.598005 |
| U.S. Influenza Vaccine | 0.409277 |
| age group | 0.480793 |
| flu vaccine | 0.687683 |
| younger age group | 0.383634 |
| percent | 0.548422 |
| flu complications | 0.397494 |
| flu vaccine effectiveness | 0.48237 |
| annual flu vaccine | 0.474174 |
| Influenza deaths | 0.417197 |
| middle-aged adults | 0.29403 |
| middle-aged people | 0.35513 |
| high risk factors | 0.33295 |
| influenza season | 0.364857 |
| flu deaths | 0.417906 |
| antiviral drugs | 0.342991 |
| people | 0.788374 |
| influenza vaccination | 0.346115 |
| flu | 0.972714 |
| influenza viruses | 0.325479 |
| hospitalization rates | 0.36625 |
| predominant influenza virus | 0.413374 |
| predominant circulating viruses | 0.371787 |
| Dr. Frieden | 0.365959 |
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| 1160 |
Centers for Disease Control and Prevention |
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Using Online Reviews by Restaurant Patrons to IdentifyUnreported Cases of Foodborne Illness — New York City,2012–2013 |
Cassandra Harrison, MSPH1,2, Mohip Jorder, MS3, Henri Stern3, Faina Stavinsky, MS1, Vasudha Reddy, MPH1, Heather Hanson, MPH1, HaeNa Waechter, MPH1, Luther Lowe4, Luis Gravano, PhD3, Sharon Balter, MD1 (Author affiliations at end of text). |
| online restaurant reviews | 0.509122 |
| online foodborne illness | 0.57869 |
| true foodborne illness | 0.572106 |
| data | 0.479442 |
| restaurant-related foodborne illness | 0.566294 |
| pilot project | 0.520794 |
| New York City | 0.867249 |
| reviews | 0.729998 |
| unreported restaurant-related outbreaks | 0.526724 |
| meal date | 0.481878 |
| Yelp | 0.595249 |
| DOHMH | 0.569377 |
| unreported outbreaks | 0.477863 |
| foodborne illnesses | 0.541376 |
| foodborne disease epidemiologist | 0.662013 |
| foodborne epidemiologists | 0.535749 |
| foodborne disease outbreaks | 0.542779 |
| review websites | 0.526955 |
| foodborne illness complaints | 0.623484 |
| Yelp restaurant reviews | 0.571122 |
| foodborne illness | 0.977912 |
| severe neurologic illness | 0.50341 |
| Yelp reviews | 0.517797 |
| likely foodborne cause | 0.530165 |
|
| Yelp accounts | 0.511842 |
| foodborne cases | 0.506818 |
| City restaurant reviews | 0.503985 |
| individual criteria | 0.51014 |
| unreported restaurant outbreaks | 0.484593 |
| DOHMH outbreak investigation | 0.527713 |
| foodborne epidemiologist | 0.539222 |
| average review score | 0.544129 |
| incubation period | 0.485027 |
| health departments | 0.504105 |
| public health | 0.537186 |
| potentially recent illness | 0.510839 |
| Yelp account | 0.486628 |
| recent foodborne illness | 0.627105 |
| health department | 0.50303 |
| Restaurant patron reviews | 0.48299 |
| potentially recent foodborne | 0.529899 |
| review website Yelp | 0.548469 |
| restaurant review online | 0.47991 |
| reviewers | 0.512805 |
| illness symptoms | 0.479683 |
| text classification programs | 0.501482 |
| illness keyword | 0.478405 |
| possible foodborne illness | 0.620329 |
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| 5647 |
Centers for Disease Control and Prevention |
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p-Nitroaniline - 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 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 5879 |
Centers for Disease Control and Prevention |
Html |
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Manganese compounds and fume (as Mn) - 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 |
|
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| 7405 |
Centers for Disease Control and Prevention |
Html |
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Emergency Room Procedures in Chemical Hazard Emergencies |
The Centers for Disease Control and Prevention provides independent oversight to the U.S. chemical weapons elimination program. This page is a job aid for emergency room procedures in chemical hazard emergencies. |
| Notify local emergency | 0.882584 |
| decon supplies | 0.727457 |
| hospital pharmacy | 0.683476 |
| emergency room | 0.6899 |
| Handle victim | 0.717539 |
| cholinesterase poisoning | 0.711743 |
| Lewisite Protocol | 0.690309 |
| hemorrhaging | 0.554039 |
| management authorities | 0.6925 |
| eye irritation | 0.686818 |
| large amounts | 0.692818 |
| blood gases | 0.667707 |
| agent identity | 0.717643 |
| personal protective equipment | 0.995913 |
| personal protection equipment | 0.885727 |
| secure hospital entrances | 0.862488 |
| Thermal burn | 0.683162 |
| Survey extent | 0.677605 |
| large burns | 0.712173 |
| in-patient treatment | 0.669606 |
| Restrict fluids | 0.686621 |
| positive M-8 paper | 0.839597 |
| emergency treatment | 0.66364 |
| possible chemical exposures | 0.822394 |
| severe dyspnea | 0.838317 |
|
| hot line | 0.714899 |
| deep IM | 0.675393 |
| repeat | 0.579933 |
| chemical hazard | 0.733664 |
| atropine | 0.547828 |
| organophosphate | 0.550971 |
| airway | 0.544852 |
| EMTs | 0.543127 |
| suspicion | 0.539871 |
| Nerve Agent Protocol | 0.8429 |
| MILD DYSPNEA | 0.676662 |
| military agent | 0.695278 |
| SIGNS WORSEN | 0.690754 |
| Hold victim | 0.710137 |
| antidotes | 0.550441 |
| lbs body | 0.676941 |
| chlorine poisoning | 0.726861 |
| artificial respiration | 0.70206 |
| Chlorine Protocol | 0.711471 |
| chest x-ray | 0.675115 |
| Mustard Protocol | 0.691695 |
| Phosgene Protocol | 0.684426 |
| thermal burns | 0.702387 |
| Morphine prn | 0.689344 |
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| 8279 |
Centers for Disease Control and Prevention |
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Press Briefing Transcript - Vital Signs Telebriefing on Carbapenem-Resistant Enterobacteriaceae |
[Title] |
| hospitals | 0.521878 |
| multi-drug resistant bacteria | 0.462505 |
| Okay. Thank | 0.497241 |
| CRE bacteria | 0.541297 |
| CRE rates. | 0.523539 |
| infections | 0.540325 |
| bacteria. Dr. Srinivasan | 0.501487 |
| resistant bacteria | 0.473022 |
| CRE. | 0.486646 |
| tom frieden | 0.85103 |
| CRE organisms | 0.514453 |
| mike stobbe | 0.494435 |
| healthcare facilities | 0.592824 |
| Okay. Dr. Srinivasan | 0.490844 |
| carbapenem-resistant enterobacteriaceae. CRE | 0.544354 |
| well. Dr. Srinivasan | 0.494555 |
| ARJUN SRINIVASAN | 0.977691 |
| CRE | 0.804602 |
| CRE infections | 0.530315 |
| acute care hospitals | 0.516349 |
| nursing homes. CRE | 0.54349 |
| Vital Signs | 0.514629 |
| CRE patients. | 0.523021 |
| dan childs | 0.471858 |
| TOM SKINNER | 0.788155 |
|
| chance CRE | 0.52132 |
| Srinivasan. Dr. Frieden | 0.496583 |
| michelle marill | 0.473381 |
| delthia ricks | 0.554892 |
| health departments | 0.565906 |
| Dr. Tom Frieden | 0.514099 |
| CRE tool kit | 0.528557 |
| E. coli | 0.473011 |
| drug resistant infections | 0.463521 |
| New York | 0.545358 |
| Vital Signs report | 0.472907 |
| question | 0.568862 |
| Okay. Thank you. | 0.462901 |
| lena sun | 0.489401 |
| high fatality rate | 0.47493 |
| medical care | 0.464301 |
| long-term acute care | 0.571278 |
| OPERATOR | 0.464511 |
| healthcare workers | 0.540867 |
| urinary tract infections | 0.484077 |
| CRE patients | 0.508892 |
| Dr. Frieden | 0.608692 |
| CRE infection | 0.535409 |
| active surveillance | 0.466992 |
|
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| 9904 |
Centers for Disease Control and Prevention |
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HIV Prevention Q and A - HIV Basics - HIV/AIDS |
Answers to questions such as: How can I prevent getting HIV from anal or vaginal sex? How can I prevent getting HIV from oral sex? Can I take medicines to prevent getting HIV? |
| pre-exposure prophylaxis | 0.449664 |
| emergency room doctor | 0.362514 |
| male condom | 0.391214 |
| STD testing site | 0.359099 |
| health care provider | 0.603941 |
| right way | 0.704343 |
| CDC’s HIV | 0.611279 |
| viral load | 0.401097 |
| anal sex | 0.490318 |
| nitrile female condoms | 0.374602 |
| post-exposure prophylaxis | 0.382968 |
| needs | 0.360235 |
| sex partner | 0.344924 |
| oral sex | 0.477511 |
| ongoing sexual relationship | 0.360573 |
| body fluids | 0.389709 |
| HIV Risk Reduction | 0.749202 |
| HIV-positive partner | 0.387931 |
| HIV medicines | 0.440401 |
| sexually transmitted diseases | 0.421358 |
| female condoms | 0.39324 |
| long-term health consequences | 0.359764 |
| undetectable viral load | 0.358104 |
| condom | 0.429697 |
| needles | 0.362587 |
|
| condoms | 0.434146 |
| antiretroviral therapy | 0.407502 |
| sexual behaviors | 0.353543 |
| Risk Reduction Tool | 0.694818 |
| receptive anal sex | 0.370743 |
| bisexual male partners | 0.35854 |
| HIV transmission | 0.438092 |
| unknown HIV status | 0.439508 |
| chance | 0.343975 |
| drugs | 0.350177 |
| sex | 0.698209 |
| HIV test | 0.384856 |
| vaginal sex | 0.421879 |
| PrEP | 0.380944 |
| sexual partners | 0.344571 |
| BETA | 0.346799 |
| HIV | 0.915286 |
| partner | 0.451599 |
| partners | 0.40755 |
| STDs | 0.388495 |
| information | 0.370687 |
| PEP | 0.363693 |
| time | 0.359469 |
| HIV infection | 0.540114 |
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| 11382 |
Centers for Disease Control and Prevention |
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NIOSH Warns of Sillicosis Risks in Construction, Suggests Measures to Reduce Exposure (96-120) |
null |
| construction workers | 0.496201 |
| lung tissue | 0.347156 |
| worksite contaminants | 0.353314 |
| Preventing Silicosis | 0.425856 |
| masonry products | 0.3491 |
| NIOSH requests | 0.373227 |
| abrasive blasting | 0.395579 |
| construction activities | 0.394998 |
| good working order | 0.380797 |
| washable protective clothes | 0.378611 |
| respirable crystalline silica | 0.960553 |
| NIOSH | 0.399786 |
| small amounts | 0.34882 |
| lower risks | 0.352395 |
| practical steps | 0.351502 |
| equipment manufacturers | 0.346225 |
| crystalline silica dust | 0.642008 |
| dust control systems | 0.391584 |
| workplace exposure | 0.361862 |
| health effects | 0.345203 |
| adequate respiratory protection | 0.382725 |
| good personal hygiene | 0.378888 |
| work areas | 0.384537 |
| Director Linda Rosenstock | 0.390138 |
| economic costs | 0.346813 |
|
| NIOSH Alert | 0.382578 |
| silica exposures | 0.45368 |
| high dust concentrations | 0.400484 |
| silica sand | 0.500838 |
| State health departments | 0.379494 |
| Occupational Safety | 0.351387 |
| hazardous materials | 0.345621 |
| adjacent workers | 0.354959 |
| breathing respirable crystalline | 0.485712 |
| National Institute | 0.353709 |
| health community work | 0.389566 |
| abrasive blasting materials | 0.38434 |
| silica exposure | 0.526193 |
| NIOSH REL | 0.369285 |
| unnecessary exposure | 0.359921 |
| fatal respiratory disease | 0.4768 |
| construction industry | 0.353488 |
| sweeping concrete | 0.349065 |
| Post warning signs | 0.380771 |
| silicosis | 0.500921 |
| Conduct air monitoring | 0.377939 |
| work practices | 0.345179 |
| periodic medical examinations | 0.380371 |
| worker exposures | 0.352414 |
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| 14098 |
Centers for Disease Control and Prevention |
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Zika Virus Spreads to New Areas - Region of the Americas, May 2015-January 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| health care provider | 0.437435 |
| Virus-specific cross-neutralization testing | 0.433289 |
| human disease cases | 0.442744 |
| Zika virus | 0.923295 |
| best way | 0.435411 |
| limited areas | 0.437053 |
| pregnant women | 0.478621 |
| virus disease cases§ | 0.486047 |
| Health care providers | 0.499264 |
| mosquito-borne flavivirus | 0.440905 |
| mosquito-to-human transmission | 0.433306 |
| World Health Organization | 0.441813 |
| ongoing Zika virus | 0.531683 |
| Zika virus disease | 0.651369 |
| compatible travel history | 0.433998 |
| possible congenital infection | 0.444737 |
| nonpurulent conjunctivitis | 0.434613 |
| public health practice | 0.442585 |
| Aedes aegypti mosquitoes | 0.450065 |
| primary flavivirus infections | 0.435973 |
| Zika virus transmission | 0.659433 |
| maculopapular rash | 0.454455 |
| American Health Organization | 0.474493 |
| secondary flavivirus infection | 0.446763 |
| Ae. albopictus mosquitoes | 0.438162 |
|
| United States | 0.528212 |
| Aedes species mosquitoes | 0.437861 |
| intrauterine transmission | 0.433229 |
| Zika virus infection | 0.770249 |
| Pan American Health | 0.473877 |
| continental United States | 0.518373 |
| State health departments | 0.43678 |
| local health department | 0.470968 |
| local transmission | 0.54402 |
| state health department | 0.44164 |
| acute onset | 0.454072 |
| symptomatic disease | 0.440796 |
| local health departments | 0.439326 |
| Zika virus infections | 0.554255 |
| intrapartum transmission | 0.433273 |
| virus disease cases | 0.500745 |
| congenital infection | 0.464543 |
| sexual transmission | 0.433253 |
| chikungunya virus infection | 0.509006 |
| Aedes albopictus mosquitoes | 0.443691 |
| laboratory diagnostic testing | 0.433509 |
| Febrile pregnant women | 0.437425 |
| Zika virus testing | 0.50752 |
| local human-to-mosquito-to-human spread | 0.437648 |
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| 15504 |
Centers for Disease Control and Prevention |
Html |
en |
Professional Resources | Gay and Bisexual Men's Health | CDC |
Professional resources focused on MSM public health needs |
| HIV/AIDS | 0.245881 |
| MPEG | 0.243494 |
| Mortality Weekly Reports | 0.965381 |
| sex | 0.316678 |
| email address | 0.509262 |
| different file formats | 0.501626 |
| Morbidity | 0.421044 |
|
| Hepatitis | 0.243909 |
| PDF | 0.234021 |
| PPT | 0.253958 |
| STDs | 0.254263 |
| men | 0.408668 |
| DOC | 0.241809 |
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