TY - CONF
T1 - Tuberculosis across the seas: CPLP-TB - a joint effort in cataloguing mycobacterium tuberculosis genetic diversity in the lusophone space
AU - Perdigão, João
AU - Silva, Carla
AU - Diniz, Jaciara
AU - Pereira, Catarina
AU - Machado, Diana
AU - Ramos, Jorge
AU - da Silva, Fernanda
AU - Brum, Clarice
AU - Reis, Ana J.
AU - Macedo, Maíra
AU - Scaini, João L.
AU - Silva, Ana B
AU - Esteves, Leonardo
AU - Macedo, Rita
AU - Clemente, Sofia
AU - Coelho, Elizabeth
AU - Viegas, Sofia
AU - Rabna, Paulo
AU - Rodrigues, Amabélia
AU - Taveira, Nuno
AU - Jordao, Luisa
AU - Couto, Isabel
AU - von Groll, Andrea
AU - Dalla-Costa, Elis R.
AU - Rossetti, Maria Lúcia
AU - da Silva, Pedro E. A.
AU - Viveiros, Miguel
AU - Portugal, Isabel
PY - 2017
Y1 - 2017
N2 - The Community of Portuguese Language Speaking Countries (CPLP) comprises nine countries across four continents, accounting for 7.2% of the world’s land area, and where tuberculosis (TB) is still a cause of public health concern. A marked variation in TB incidence (23 to 551 cases per 100000 habitants) can be observed across the different member-states and, despite of this, a considerable gap in the knowledge on the Mycobacterium tuberculosispopulation structure and country-level geospatial distribution still exists.To address this we have gathered a comprehensive set of molecular and phenotypic drug susceptibility data on approximately 1150 different clinical isolates, from different partners, across 5 distinct Portuguese-speaking countries. This initial dataset comprises molecular genotypic data obtained by either 12, 15 or 24-lociMycobacterial Interspersed Repetitive Unit –Variable Number of Tandem repeat (MIRU-VNTR) and/or Spoligotyping.The complete dataset therefore includes M. tuberculosisclinicalisolates from Portugal (n≈370), Angola (n≈80), Guinea-Bissau (n≈13), Mozambique (n≈14) and Brazil (n≈680). To make this data available to the scientific community and public health authorities we have developed CPLP-TB, an online database coupled with web-based tools that enable exploratory data analysis. This new tool specifically directed at CPLP countries include advanced data analysis capability together with graphical visualization tools (e.g. dendrogram and choropleth mapping).As a public health tool, it is expected to contribute for a deeper knowledge on the combined population structure and strain circulation between countries, thus enabling the assessment of strain specific trends in a broader macroepidemiological context. Furthermore, this new tool provides a new framework for inter-laboratory cooperation on TB molecular epidemiology
AB - The Community of Portuguese Language Speaking Countries (CPLP) comprises nine countries across four continents, accounting for 7.2% of the world’s land area, and where tuberculosis (TB) is still a cause of public health concern. A marked variation in TB incidence (23 to 551 cases per 100000 habitants) can be observed across the different member-states and, despite of this, a considerable gap in the knowledge on the Mycobacterium tuberculosispopulation structure and country-level geospatial distribution still exists.To address this we have gathered a comprehensive set of molecular and phenotypic drug susceptibility data on approximately 1150 different clinical isolates, from different partners, across 5 distinct Portuguese-speaking countries. This initial dataset comprises molecular genotypic data obtained by either 12, 15 or 24-lociMycobacterial Interspersed Repetitive Unit –Variable Number of Tandem repeat (MIRU-VNTR) and/or Spoligotyping.The complete dataset therefore includes M. tuberculosisclinicalisolates from Portugal (n≈370), Angola (n≈80), Guinea-Bissau (n≈13), Mozambique (n≈14) and Brazil (n≈680). To make this data available to the scientific community and public health authorities we have developed CPLP-TB, an online database coupled with web-based tools that enable exploratory data analysis. This new tool specifically directed at CPLP countries include advanced data analysis capability together with graphical visualization tools (e.g. dendrogram and choropleth mapping).As a public health tool, it is expected to contribute for a deeper knowledge on the combined population structure and strain circulation between countries, thus enabling the assessment of strain specific trends in a broader macroepidemiological context. Furthermore, this new tool provides a new framework for inter-laboratory cooperation on TB molecular epidemiology
UR - http://hdl.handle.net/10400.18/4737
M3 - Abstract
SP - 60
ER -