| 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 |
Html |
en |
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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| 4886 |
Centers for Disease Control and Prevention |
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en |
Transmission Workshop 2010 |
null |
| CDC | 0.314967 |
| modes | 0.305676 |
| droplet | 0.267967 |
| Funding Opportunity Announcement | 0.549181 |
| questions | 0.232627 |
| influenza transmission | 0.958692 |
| Atlanta | 0.236594 |
| Persons | 0.230494 |
| contact | 0.26006 |
| airborne transmission | 0.555843 |
| FOA | 0.273101 |
| links | 0.231658 |
| state | 0.233579 |
|
| Virologic Evaluation | 0.38242 |
| gaps | 0.252409 |
| art science | 0.401997 |
| Dr. Eileen Yee | 0.562617 |
| Influenza Virus Transmission | 0.783206 |
| Meeting materials | 0.384967 |
| cdc.gov | 0.257651 |
| additional workshop materials | 0.522509 |
| relative contributions | 0.414155 |
| purposes | 0.239081 |
| information | 0.230538 |
| Georgia | 0.236536 |
| best approaches | 0.404577 |
|
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| 5647 |
Centers for Disease Control and Prevention |
Html |
en |
p-Nitroaniline - 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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| 6438 |
Centers for Disease Control and Prevention |
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Notifiable Diseases and Mortality Tables - December 9, 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. |
| provisional 4-week totals | 0.768429 |
| Mortality Tables | 0.473532 |
| equine encephalitis virus | 0.613099 |
| Mortality Weekly Report | 0.472291 |
| Viral hemorrhagic fever¶¶¶ | 0.45547 |
| provisional cases | 0.684413 |
| Hantavirus pulmonary syndrome§ | 0.460405 |
| Staphylococcus aureus§ | 0.458343 |
| New York City | 0.443145 |
| acute hepatitis | 0.496037 |
| 2011-12 influenza season | 0.4702 |
| Cum | 0.452829 |
| noncholera Vibrio species | 0.45663 |
| influenza A virus | 0.474437 |
| National Center | 0.580134 |
| CDC Home CDC | 0.480039 |
| Hemolytic uremic syndrome | 0.461888 |
| California serogroup virus | 0.498979 |
| meningococcal disease | 0.596834 |
| historical data | 0.533605 |
| Influenza Division | 0.452369 |
| Ñ?ЛП
Notifiable Diseases | 0.531795 |
| Cumulative year-to-date counts | 0.451997 |
| 2009 pandemic | 0.509537 |
|
| Respiratory Diseases | 0.446131 |
| NN | 0.584875 |
| United States | 0.939729 |
| Vancomycin-resistant Staphylococcus aureus§ | 0.453012 |
| novel influenza | 0.544073 |
| I. Provisional cases | 0.515739 |
| 5-year weekly average†| 0.481789 |
| notifiable diseases | 0.843151 |
| Vancomycin-intermediate Staphylococcus aureus§ | 0.452514 |
| Eastern equine encephalitis | 0.473238 |
| pandemic influenza | 0.516342 |
| Influenza-associated pediatric mortality§ | 0.453417 |
| viral hemorrhagic fever | 0.445776 |
| Western equine encephalitis | 0.472567 |
| Polio virus Infection | 0.461611 |
| Total case counts | 0.446714 |
| notifiable disease reports | 0.746457 |
| current 4-week total | 0.478122 |
| Vector-Borne Infectious Diseases | 0.459252 |
| Chlamydia trachomatis infection | 0.4441 |
| TABLE I. | 0.475951 |
| dengue hemorrhagic fever | 0.44919 |
| subsequent 4-week periods | 0.467208 |
| West Nile virus | 0.457984 |
|
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| 6502 |
Centers for Disease Control and Prevention |
Html |
en |
Yellow Fever Main Page |
Information on Yellow Fever. Provided by the U.S. Centers for Disease Control and Prevention. |
| South America | 0.440708 |
| Steps | 0.323779 |
| Yellow fever disease | 0.711273 |
| severe liver disease | 0.53845 |
| bleeding | 0.332779 |
| yellow fever | 0.919129 |
| infected mosquitoes | 0.466154 |
| U.S. travelers | 0.434804 |
| rare cause | 0.430273 |
| yellow fever virus | 0.875836 |
| bite | 0.333418 |
| possibility | 0.328436 |
| travel history | 0.418952 |
|
| subtropical areas | 0.463266 |
| severity | 0.337857 |
| Africa | 0.322551 |
| protective clothing | 0.421207 |
| specific treatment | 0.415515 |
| physical findings | 0.425826 |
| symptoms | 0.331882 |
| infected mosquito | 0.477476 |
| insect repellent | 0.440236 |
| exposure | 0.325238 |
| fever virus infection | 0.660533 |
| self-limited febrile illness | 0.590279 |
|
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Centers for Disease Control and Prevention |
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Vital Signs: Where's the sodium?'Announcements'DHDSP'CDC |
null |
| average | 0.230266 |
| important public health | 0.535868 |
| healthy diet | 0.366453 |
| visit http://www.cdc.gov/vitalsigns/Sodium/index.html | 0.36387 |
| foods | 0.319055 |
| edition | 0.232397 |
| different sodium levels | 0.700833 |
| milligrams | 0.22764 |
| diets | 0.2378 |
| example | 0.227183 |
| sodium Americans | 0.635078 |
| Vital Signs program | 0.542867 |
| heart disease | 0.497511 |
| chicken noodle soup | 0.507679 |
| American Heart | 0.378082 |
|
| action | 0.232913 |
| mg | 0.241727 |
| sodium increases | 0.630959 |
| types | 0.227955 |
| person’s risk | 0.368109 |
| health care dollars | 0.482275 |
| Different brands | 0.346132 |
| stroke | 0.267936 |
| labels | 0.227487 |
| sodium | 0.989783 |
| high blood pressure | 0.788203 |
| medical costs | 0.358104 |
| vascular diseases | 0.525872 |
| CDC Vital Signs | 0.88933 |
|
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| 11296 |
Centers for Disease Control and Prevention |
Html |
en |
Guidelines for Evaluation of US Patients Suspected of Having Ebola Virus Disease- HAN Archive - 00364| Health Alert Network |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| EVD-affected countries | 0.731784 |
| single patient room | 0.72835 |
| affected countries | 0.734186 |
| ebola virus | 0.907213 |
| infection control professionals | 0.762751 |
| Environmental infection control | 0.748092 |
| direct patient care | 0.748255 |
| detailed instructions | 0.727278 |
| state health departments | 0.748956 |
| specimen submission form | 0.834176 |
| World Health Organization | 0.890066 |
| CDC laboratory testing | 0.879979 |
| patients | 0.738228 |
| Suspected Ebola Hemorrhagic | 0.775557 |
| body fluids | 0.858824 |
| public health officials | 0.734815 |
| primary care physicians | 0.736408 |
| public health risks | 0.766461 |
| mucous membrane exposure | 0.762056 |
| EVD | 0.840121 |
| EVD patients | 0.723582 |
| low-risk exposure | 0.843189 |
| direct unprotected contact | 0.746016 |
| blood work findings | 0.90161 |
| intensive care physicians | 0.732142 |
|
| hospital infection control | 0.782554 |
| standard biosafety precautions | 0.725109 |
| CDC Health Alert | 0.820955 |
| direct skin contact | 0.749186 |
| Ebola virus infection | 0.765689 |
| abnormal blood work | 0.757965 |
| appropriate PPE | 0.822035 |
| fever | 0.735174 |
| infection control | 0.923874 |
| Healthcare provider protection | 0.73384 |
| travel to—an area | 0.730262 |
| local health department | 0.746907 |
| compatible clinical symptoms | 0.743367 |
| Diligent environmental cleaning | 0.72483 |
| state health department | 0.751591 |
| Ebola Virus Disease | 0.774139 |
| local health departments | 0.861792 |
| Epidemiologic risk factors | 0.726282 |
| high-risk exposure | 0.821293 |
| West Africa | 0.744912 |
| healthcare workers | 0.737461 |
| infectious disease specialists | 0.736727 |
| u.s. hospitals | 0.777835 |
| infection control procedures | 0.860564 |
|
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| 11382 |
Centers for Disease Control and Prevention |
Html |
en |
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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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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