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The world´s microbiology laboratories can be a global microbial sensor network / Los laboratorios de microbiología del mundo pueden convertirse en una red de detección microbiana
O ´Brien, Thomas F.; Stelling, John.
  • O ´Brien, Thomas F.; Department of Medicine, Brigham and Women´s Hospital and Harvard Medical School. Boston. US
  • Stelling, John; Department of Medicine, Brigham and Women´s Hospital and Harvard Medical School. Boston. US
Biomédica (Bogotá) ; 34(supl.1): 9-15, abr. 2014.
Article in English | LILACS | ID: lil-712416
ABSTRACT
The microbes that infect us spread in global and local epidemics, and the resistance genes that block their treatment spread within and between them. All we can know about where they are to track and contain them comes from the only places that can see them, the world´s microbiology laboratories, but most report each patient´s microbe only to that patient´s caregiver. Sensors, ranging from instruments to birdwatchers, are now being linked in electronic networks to monitor and interpret algorithmically in real-time ocean currents, atmospheric carbon, supply-chain inventory, bird migration, etc. To so link the world´s microbiology laboratories as exquisite sensors in a truly lifesaving real-time network their data must be accessed and fully subtyped. Microbiology laboratories put individual reports into inaccessible paper or mutually incompatible electronic reporting systems, but those from more than 2,200 laboratories in more than 108 countries worldwide are now accessed and translated into compatible WHONET files. These increasingly web-based files could initiate a global microbial sensor network. Unused microbiology laboratory byproduct data, now from drug susceptibility and biochemical testing but increasingly from new technologies (genotyping, MALDI-TOF, etc.), can be reused to subtype microbes of each genus/species into sub-groupings that are discriminated and traced with greater sensitivity. Ongoing statistical delineation of subtypes from global sensor network data will improve detection of movement into any patient of a microbe or resistance gene from another patient, medical center or country. Growing data on clinical manifestations and global distributions of subtypes can automate comments for patient´s reports, select microbes to genotype and alert responders.
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Full text: Available Index: LILACS (Americas) Main subject: Bacterial Infections / Global Health / Drug Resistance, Bacterial / Information Dissemination / Information Services / International Cooperation / Laboratories Type of study: Screening study Limits: Humans Country/Region as subject: North America Language: English Journal: Biomédica (Bogotá) Journal subject: Medicine Year: 2014 Type: Article Affiliation country: United States Institution/Affiliation country: Department of Medicine, Brigham and Women´s Hospital and Harvard Medical School/US

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Full text: Available Index: LILACS (Americas) Main subject: Bacterial Infections / Global Health / Drug Resistance, Bacterial / Information Dissemination / Information Services / International Cooperation / Laboratories Type of study: Screening study Limits: Humans Country/Region as subject: North America Language: English Journal: Biomédica (Bogotá) Journal subject: Medicine Year: 2014 Type: Article Affiliation country: United States Institution/Affiliation country: Department of Medicine, Brigham and Women´s Hospital and Harvard Medical School/US