| 6996 |
Centers for Disease Control and Prevention |
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Notes from the Field : Hepatitis C Virus Infections Among Young Adults - Rural Wisconsin, 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. | 0.711522 |
| CDC | 0.733757 |
| HCV education | 0.843196 |
| Human Services | 0.777306 |
| assistive technology | 0.709719 |
| Public health practitioners | 0.787211 |
| U.S. Department | 0.775195 |
| MMWR HTML versions | 0.767412 |
| quasispecies analysis | 0.798351 |
| underwent quasispecies analysis | 0.782764 |
| acute HCV | 0.946028 |
| undetected cases | 0.707658 |
| electronic PDF version | 0.768704 |
| hypodermic needles | 0.712061 |
| prescription opioids | 0.703578 |
| Jeffrey P. Davis | 0.765401 |
| opioid pain relievers | 0.829369 |
| younger persons | 0.705471 |
| patients | 0.752844 |
| Marisa M. Stanley | 0.933058 |
| Viral Hepatitis | 0.769547 |
| enzyme immunoassay | 0.786815 |
| appropriate signal-to-cutoff ratio | 0.777807 |
| original paper copy | 0.761679 |
|
| opioid agonist treatment | 0.823917 |
| acute HCV infection | 0.942793 |
| opioid prescribing | 0.73972 |
| HCV | 0.968688 |
| acute HCV infections | 0.934806 |
| age-adjusted reported incidence | 0.825044 |
| HCV RNA | 0.860059 |
| Wisconsin Div | 0.7034 |
| original MMWR paper | 0.774167 |
| U.S. Government Printing | 0.772465 |
| Wisconsin Division | 0.716816 |
| unrelated networks | 0.703713 |
| Dale J. Hu | 0.764325 |
| hepatitis C virus | 0.729351 |
| local health departments | 0.953019 |
| public health | 0.8939 |
| polymerase chain reaction | 0.783235 |
| drug preparation equipment | 0.787586 |
| illicit drugs | 0.705033 |
| HCV transmission | 0.930428 |
| prescription opioid drugs | 0.826472 |
| subject line | 0.710505 |
| staff members | 0.709947 |
| sterile syringes | 0.705239 |
|
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Media Relations - MMWR News Synopsis: February 14, 2013 |
CDC Media Relations - MMWR News Synopsis: January 31, 2013 |
| current treatment guidelines | 0.685902 |
| Motor Vehicle Traffic | 0.676893 |
| chronic infections | 0.632655 |
| untreatable gonorrhea | 0.815751 |
| gonorrhea treatment guidelines | 0.806504 |
| cannabinoid compounds | 0.658225 |
| cannabinoid-related acute kidney | 0.709525 |
| Michigan surveillance data | 0.719636 |
| recent laboratory data | 0.686011 |
| chronic hepatitis cohort | 0.755158 |
| Hepatitis B virus | 0.649023 |
| National Center | 0.701793 |
| Salmonella Bredeney Infections | 0.683028 |
| TB Prevention | 0.710808 |
| Gonorrhea infections | 0.729886 |
| synthetic drug | 0.636903 |
| synthetic cannabinoid products | 0.911262 |
| urban health care | 0.710983 |
| public health officials | 0.715013 |
| unique cannabinoid | 0.664709 |
| Carbapenem-Resistant Klebsiella pneumoniae | 0.687763 |
| News Media Line | 0.867882 |
| Synthetic cannabinoids | 0.648631 |
| viral hepatitis disease | 0.754902 |
| state surveillance system. | 0.70294 |
|
| long resistance history | 0.672794 |
| United States | 0.783275 |
| HCV infection | 0.620177 |
| risk factor data | 0.696722 |
| older cases | 0.634587 |
| Electronic Media | 0.621924 |
| adverse health effects | 0.715771 |
| public health concern | 0.723402 |
| Community Health | 0.624503 |
| CDC
Division | 0.664085 |
| New Delhi Metallo-Beta-Lactamase | 0.676822 |
| HCV cases | 0.66102 |
| viral hepatitis surveillance | 0.765465 |
| provider-based electronic reporting | 0.696234 |
| viral hepatitis | 0.887411 |
| national surveillance systems. | 0.707627 |
| synthetic marijuana | 0.641719 |
| CDC researchers | 0.642824 |
| sixteen cases | 0.652891 |
| proper antibiotic treatment | 0.68742 |
| gonorrhea cases | 0.750098 |
| cephalosporin-resistant gonorrhea | 0.705015 |
| chronic HBV cases | 0.76666 |
| basic demographic data | 0.694865 |
|
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Listeria - CDC Works For You 24/7 |
CDC Works For You 24/7 Saving Lives - Deadly Listeria Outbreak Halted in Record Time - In 2011, cantaloupes contaminated with the bacteria Listeria monocytogenes caused the deadliest foodborne disease outbreak in the United States in more than 90 years. The number of deaths would have been higher had it not been for an effective, coordinated response by the Centers for Disease Control and Prevention (CDC), state and local health departments, and the Food and Drug Administration (FDA). Lives were saved because the outbreak was detected, its source was identified, and a national warning was issued – all in just a matter of days |
| fastest listeria investigation | 0.613565 |
| CDC | 0.635006 |
| listeria cases | 0.552076 |
| food history interviews | 0.49658 |
| specialty cantaloupe | 0.515201 |
| regulatory officials | 0.478072 |
| PulseNet lab network | 0.489886 |
| Listeria outbreaks | 0.607037 |
| national warning | 0.560497 |
| listeria | 0.705814 |
| health care professionals | 0.504732 |
| foodborne disease outbreaks | 0.516084 |
| foodborne disease outbreak | 0.585443 |
| public health officials | 0.925842 |
| Dr. Tauxe | 0.688345 |
| bacteria Listeria monocytogenes | 0.614743 |
| CDC’s Division | 0.516494 |
| single cantaloupe farm | 0.579632 |
| listeria questionnaire | 0.543326 |
| public health response | 0.542983 |
| contaminated cantaloupe | 0.520807 |
| nationwide disease tracking | 0.498822 |
| public health laboratories | 0.525074 |
| weak immune systems | 0.494003 |
| additional support | 0.482124 |
|
| cantaloupe | 0.590702 |
| outbreak source | 0.488227 |
| Diseases Cooperative Agreement | 0.482058 |
| Colorado Department | 0.533239 |
| disease tracking | 0.527319 |
| United States | 0.582536 |
| disease tracking funding | 0.492051 |
| Colorado public health | 0.67888 |
| Jensen Farms | 0.566948 |
| Rocky Ford-brand cantaloupe | 0.546013 |
| listeria infection | 0.572297 |
| foodborne disease tracking | 0.514081 |
| rapid laboratory testing | 0.486957 |
| CDC network | 0.50382 |
| local health departments | 0.528805 |
| major health threats | 0.50175 |
| Local doctors report | 0.494242 |
| listeria threat | 0.578023 |
| CDC disease detectives | 0.564204 |
| critical financial assistance | 0.484432 |
| local public health | 0.516968 |
| recent listeria outbreak | 0.633524 |
| FDA officials | 0.474489 |
| Colorado health department | 0.535476 |
|
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2014 Calls/Webinars'Clinician Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| Microsoft PowerPoint file | 0.610882 |
| MPH | 0.659644 |
| COCA Partners | 0.631454 |
| Clinical Management | 0.61281 |
| Microsoft Word file | 0.613804 |
| Respiratory Syndrome Coronavirus | 0.667553 |
| Chikungunya Virus | 0.641013 |
| Nursing Perspective Ebola | 0.67757 |
| Communication Activity | 0.616367 |
| MD | 0.70901 |
| COCA Digest | 0.621274 |
| Ebola Treated | 0.616221 |
| Microsoft Excel file | 0.610186 |
| Influenza Season Activity | 0.629906 |
| Pediatric Enterovirus D68 | 0.612719 |
| Zika Virus | 0.906707 |
| page options Skip | 0.629672 |
| different file formats | 0.612473 |
| Flu Activity | 0.66889 |
| Francisco Garcia MD | 0.656232 |
| Opioid Series | 0.853879 |
| COCA Mailing List | 0.661122 |
| Older Adult Influenza | 0.610858 |
| COCA Calls/Webinars Calls/Webinars | 0.706193 |
| East Respiratory Syndrome | 0.854482 |
|
| 2017-2018 Flu Season | 0.63058 |
| Respiratory Syndrome Update | 0.613028 |
| COCA Newsletters COCA | 0.734346 |
| CDC Update | 0.615437 |
| M. Napolitano MD | 0.64977 |
| Search Form Controls | 0.73021 |
| Middle East | 0.747678 |
| HIV Care Continuum | 0.689385 |
| U.S. Hospitals | 0.671079 |
| Opioid Overdose | 0.628035 |
| COCA Calls/Webinars | 0.729851 |
| Speaker | 0.622087 |
| Susan Gerber | 0.631769 |
| Middle East Respiratory | 0.664686 |
| COCA Calls/Webinars Information | 0.674459 |
| Search Controls | 0.631917 |
| Title | 0.613106 |
| Pediatric Flu Antivirals | 0.626559 |
| Date | 0.629573 |
| Public Health Preparedness | 0.66422 |
| Primary Care Providers | 0.61006 |
| Ebola Virus | 0.65169 |
| Tickborne Diseases | 0.616697 |
| COCA Learn | 0.625177 |
|
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Email Updates: May 21, 2012'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| CDC | 0.952794 |
| viral hepatitis testing | 0.462658 |
| COCA website | 0.489769 |
| – (CDC) | 0.644474 |
| salmonella infantis infections | 0.559561 |
| CDC Science Clips | 0.731264 |
| Additional COCA Conference | 0.568371 |
| Hepatitis Awareness | 0.497505 |
| Free CE credit/contact | 0.437569 |
| on-demand emergency preparedness | 0.439755 |
| COCA subscribers | 0.494746 |
| World Health Organization | 0.469599 |
| new online Hepatitis | 0.459818 |
| public health officials | 0.473797 |
| public health events | 0.491632 |
| emergency preparedness | 0.495446 |
| COCA Call Announcements | 0.499365 |
| coca e-mail distribution | 0.659904 |
| school-based health centers | 0.653093 |
| multistate outbreak | 0.535836 |
| Salmonella Bareilly Infections | 0.522907 |
| CDC Health Alert | 0.806194 |
| HHS Announces Available | 0.44355 |
| Terrorism Update Listserv | 0.461283 |
|
| Viral Hepatitis Updates | 0.46231 |
| United States | 0.434815 |
| human salmonella infantis | 0.557916 |
| COCA partners | 0.481067 |
| COCA Email Update | 0.578261 |
| Salmonella serotype Bareilly | 0.515059 |
| public health community | 0.498848 |
| health care safety | 0.485312 |
| national Hepatitis Testing | 0.452574 |
| CDC Public Health | 0.772915 |
| COCA Updates | 0.501131 |
| viral hepatitis | 0.477274 |
| E-mail Distribution Listserv | 0.455271 |
| Specific Hazards preparedness | 0.437089 |
| ongoing multistate outbreak | 0.467647 |
| COCA subscriber contact | 0.547363 |
| E-mail distribution list | 0.444198 |
| Terrorism Training Listserv | 0.452815 |
| CDC Tuberculosis | 0.620937 |
| FoodSafety.gov Reports FDA | 0.437134 |
| Salmonella Bareilly | 0.528621 |
| disease prevention activities | 0.441662 |
| CDC shares stories | 0.706493 |
| Response Training Resources | 0.436687 |
|
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Announcements: World Rabies Day - September 28, 2014 |
September 28, 2014, is the 8th annual World Rabies Day. Rabies is a fatal acute encephalitis caused by lyssaviruses (1). The number of human rabies deaths worldwide is estimated to exceed 55,000 each year (2). |
| rabies control efforts | 0.608191 |
| rabies vaccine | 0.544415 |
| high canine vaccination | 0.245344 |
| canine rabies | 0.894379 |
| country-specific rabies elimination | 0.677257 |
| prompt wound care | 0.207719 |
| human rabies elimination | 0.703416 |
| mass vaccination campaigns | 0.209231 |
| human rabies deaths | 0.712527 |
| diagnostic laboratory capacity | 0.208336 |
| fatal acute encephalitis | 0.223505 |
| prevention efforts | 0.212123 |
|
| human rabies | 0.913116 |
| rabies control | 0.681838 |
| SetiУЉn A. Control | 0.206252 |
| rabies immune globulin | 0.634494 |
| inadequate rabies | 0.53212 |
| annual World Rabies | 0.684014 |
| Communicable disease programs | 0.205973 |
| canine rabies elimination | 0.663815 |
| vaccine procurement capacity | 0.214677 |
| wild animal reservoirs | 0.215138 |
| rabies elimination | 0.721398 |
|
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National Early Season Flu Vaccination Coverage, United States, November 2014 |
Results from the November 2014 National Influenza Flu Survey, United States for the 2014-15 influenza season - CDC |
| short flu module | 0.328988 |
| early season flu | 0.458885 |
| vaccination campaigns | 0.298746 |
| survey interviewers conduct | 0.245975 |
| season flu vaccination | 0.52377 |
| telephone number resolution | 0.244231 |
| Risk Factor Surveillance | 0.276419 |
| United States population | 0.245437 |
| Internet Flu Survey | 0.360552 |
| Page | 0.276206 |
| final end-of-season coverage | 0.290381 |
| cellular telephone survey | 0.249385 |
| internet panel survey | 0.277054 |
| children | 0.326874 |
| NIFS data | 0.2847 |
| flu vaccination-related data | 0.333861 |
| vaccination estimates | 0.328543 |
| flu vaccination | 0.919325 |
| racial/ethnic group differences | 0.249062 |
| National Immunization Survey-Flu | 0.286811 |
| National Early Season | 0.268901 |
| early season differences | 0.27223 |
| racial/ethnic groups | 0.262304 |
| end-of-season coverage estimates | 0.303734 |
| non-Hispanic black adults | 0.257643 |
|
| racial/ethnic differences | 0.262877 |
| season vaccination coverage | 0.393928 |
| flu vaccination status | 0.408707 |
| Behavioral Risk Factor | 0.276487 |
| flu season vaccination | 0.484094 |
| United States | 0.35016 |
| adults | 0.325714 |
| flu vaccine | 0.3291 |
| flu vaccination coverage | 0.91911 |
| early season estimates | 0.372899 |
| flu season estimates | 0.416929 |
| adult estimates | 0.281067 |
| National Influenza Vaccination | 0.325429 |
| Influenza Season | 0.254088 |
| NIFS estimates | 0.284103 |
| non-Hispanic white adults | 0.257629 |
| NIS-Flu estimates | 0.268894 |
| child age groups | 0.24513 |
| flu vaccinations | 0.320262 |
| similar coverage | 0.244766 |
| NIS-Flu data | 0.264324 |
| different data sources | 0.248896 |
| Adult NIFS data | 0.271993 |
| end-of-season estimates | 0.297134 |
|
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Silicosis Mortality Trends and New Exposures to RespirableCrystalline Silica - United States, 2001-2010 |
Ki Moon Bang, PhD1, Jacek M. Mazurek, MD1, John M. Wood, MS1, Gretchen E. |
| effective specific treatment | 0.383084 |
| new operations | 0.376195 |
| John M. Wood | 0.383849 |
| silicosis death rate | 0.597785 |
| Hazardous occupational exposures | 0.400095 |
| silicosis cases | 0.503295 |
| oil wells | 0.375287 |
| extraction industry workers | 0.377481 |
| mining industry workers | 0.379823 |
| annual multiple cause-of-death | 0.378305 |
| respirable crystalline silica | 0.98917 |
| Scott A. Hendricks | 0.38229 |
| decedents | 0.380592 |
| Jacek M. Mazurek | 0.390966 |
| age-adjusted silicosis death | 0.601076 |
| Comprehensive silicosis prevention | 0.536845 |
| hydraulic fracturing | 0.382124 |
| Effective silicosis prevention | 0.526579 |
| hazardous silica exposures | 0.457172 |
| extremely high exposure | 0.390937 |
| annual age-adjusted death | 0.388412 |
| crystalline silica dust | 0.577595 |
| ongoing silicosis surveillance | 0.526689 |
| road construction | 0.380302 |
| stone masonry | 0.377299 |
|
| United States | 0.507373 |
| permissible exposure limit | 0.386638 |
| hazardous noncrystalline silica | 0.434576 |
| Chronic silicosis | 0.541628 |
| new job tasks | 0.371211 |
| Occupational Safety | 0.451551 |
| silicosis mortality | 0.528015 |
| autoregressive linear regression | 0.371289 |
| occupational lung disease | 0.403209 |
| occupational disease surveillance | 0.384665 |
| rock drilling | 0.375769 |
| workers | 0.386585 |
| National Institute | 0.387728 |
| overall age-adjusted silicosis | 0.551303 |
| acute silicosis | 0.51206 |
| silicosis | 0.818279 |
| silicosis deaths | 0.689465 |
| silicosis death rates | 0.560932 |
| pottery making | 0.376785 |
| silica dust.** | 0.408565 |
| annual number | 0.378612 |
| Ki Moon Bang | 0.379985 |
| silica need | 0.41566 |
| current permissible exposure | 0.388752 |
|
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Sinus Rinsing & Neti Pots | Prevention & Control | Naegleria fowleri |
Education and information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals. |
| visibly cloudy water | 0.525598 |
| nasal rinsing devices | 0.748551 |
| bleach disinfection protocol | 0.552468 |
| sinus rinse bottle | 0.461534 |
| amebic meningoencephalitis death | 0.47918 |
| clear well water | 0.454302 |
| sinus rinsing | 0.477762 |
| solid chlorine tablets | 0.591371 |
| 5-fold safety factor* | 0.434739 |
| primary amoebic meningoencephalitis | 0.462435 |
| public drinking water | 0.516303 |
| clear water | 0.541948 |
| Filter water | 0.468767 |
| hypochlorite fact sheet | 0.455332 |
| additional safety factor | 0.559502 |
| calcium hypochlorite | 0.446034 |
| Naegleria fowleri infections | 0.608045 |
| household chlorine bleach | 0.699773 |
| water | 0.940933 |
| micron absolute filters | 0.43658 |
| Clin Infect Dis. | 0.547845 |
| daily hypertonic saline | 0.435221 |
| Zgierska A. Saline | 0.434443 |
| saline nasal irrigation | 0.581248 |
| Visvesvara GS | 0.43388 |
|
| Water Supply Preparation | 0.627615 |
| absolute pore size | 0.574802 |
| water likely increases | 0.498313 |
| sodium hypochlorite | 0.468734 |
| tap water | 0.718722 |
| micron absolute pore | 0.445033 |
| primary amebic meningoencephalitis | 0.784213 |
| neti pots | 0.460012 |
| Naegleria fowleri cysts | 0.562454 |
| Zafar A. Primary | 0.433597 |
| Naegleria fowleri | 0.883885 |
| drinking water | 0.796704 |
| Emergency Water Supply | 0.625823 |
| culturable Naegleria fowleri | 0.550576 |
| medicine dropper | 0.452372 |
| drinking water disinfection | 0.67108 |
| nasal passages | 0.516146 |
| disinfected water | 0.472738 |
| ritual nasal rinsing | 0.716829 |
| unscented liquid household | 0.560095 |
| nasal rinsing | 0.941434 |
| liquid household chlorine | 0.616533 |
| emergency drinking water | 0.635127 |
| Naegleria fowleri amebae | 0.554739 |
|
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Centers for Disease Control and Prevention |
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Notes from the Field | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Yellowstone visitors | 0.287856 |
| average number | 0.203613 |
| American bison | 0.3138 |
| Human Services | 0.25352 |
| Yellowstone conducts | 0.264515 |
| U.S. Department | 0.251687 |
| bison encounters | 0.331301 |
| electronic PDF version | 0.262019 |
| future injuries | 0.22201 |
| successful outreach campaigns | 0.289453 |
| Wildlife Health Branch | 0.426812 |
| Wildlife Conservation Branch | 0.289737 |
| persons | 0.234139 |
| free unimpeded movement | 0.28163 |
| Biological Resource Management | 0.264849 |
| inform visitors | 0.215803 |
| wildlife behavior | 0.214791 |
| recent photography-related injuries | 0.307893 |
| social media sharing | 0.26677 |
| required viewing distances | 0.290639 |
| 1Epidemic Intelligence Service | 0.281865 |
| approach wildlife | 0.215338 |
| traditional camera technology | 0.260809 |
| Bison bison | 0.425812 |
|
| Public Health | 0.272253 |
| Fort Collins | 0.246673 |
| original MMWR paper | 0.266934 |
| hiking trails | 0.281947 |
| ft | 0.230498 |
| largest U.S. bison | 0.399882 |
| extensive education campaigns | 0.277027 |
| smart phone owners | 0.275209 |
| Natural Resource Stewardship | 0.375436 |
| potentially hazardous condition | 0.274542 |
| bison-related injuries | 0.248302 |
| Yellowstone promulgates regulations | 0.362501 |
| Yellowstone National Park | 0.678389 |
| public land | 0.203423 |
| bull aggressiveness increases | 0.280218 |
| smart phone photography | 0.274398 |
| Case reports | 0.207207 |
| unpublished data | 0.204456 |
| largest terrestrial mammals | 0.278425 |
| National Park Service | 0.913058 |
| park entrances | 0.23537 |
| pedestrian visitors | 0.229235 |
| Injury prevention campaigns | 0.261428 |
| cell phone self-portrait | 0.278842 |
|
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