Dataset Information

First Complete Genome Sequences of Dengue Virus Serotype 2 Strains from the Solomon Islands and Vanuatu.

ABSTRACT: Isolates of dengue virus serotype 2 (DENV-2) were recovered from a female resident of the Solomon Islands in 2016 and another female patient who had traveled from Vanuatu to Australia in 2017. Here, we describe the first complete genome sequences of DENV-2 strains from Vanuatu and the Solomon Islands.

SUBMITTER: Pyke AT

PROVIDER: S-EPMC6328654 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

First Complete Genome Sequences of Dengue Virus Serotype 2 Strains from the Solomon Islands and Vanuatu.

Pyke Alyssa T AT Cameron Jane J McMahon Jamie J De Jong Amanda A Burtonclay Peter P

Microbiology resource announcements 20190110 2

Isolates of dengue virus serotype 2 (DENV-2) were recovered from a female resident of the Solomon Islands in 2016 and another female patient who had traveled from Vanuatu to Australia in 2017. Here, we describe the first complete genome sequences of DENV-2 strains from Vanuatu and the Solomon Islands. ...[more]

PMID: 30643881

Similar Datasets

Project description:BackgroundA high-resolution surveillance-response system has been developed within a geographic information system (GIS) to support malaria elimination in the Pacific. This paper examines the application of a GIS-based spatial decision support system (SDSS) to automatically locate and map the distribution of confirmed malaria cases, rapidly classify active transmission foci, and guide targeted responses in elimination zones.MethodsCustomized SDSS-based surveillance-response systems were developed in the three elimination provinces of Isabel and Temotu, Solomon Islands and Tafea, Vanuatu. Confirmed malaria cases were reported to provincial malaria offices upon diagnosis and updated into the respective SDSS as part of routine operations throughout 2011. Cases were automatically mapped by household within the SDSS using existing geographical reconnaissance (GR) data. GIS queries were integrated into the SDSS-framework to automatically classify and map transmission foci based on the spatiotemporal distribution of cases, highlight current areas of interest (AOI) regions to conduct foci-specific targeted response, and extract supporting household and population data. GIS simulations were run to detect AOIs triggered throughout 2011 in each elimination province and conduct a sensitivity analysis to calculate the proportion of positive cases, households and population highlighted in AOI regions of a varying geographic radius.ResultsA total of 183 confirmed cases were reported and mapped using the SDSS throughout 2011 and used to describe transmission within a target population of 90,354. Automatic AOI regions were also generated within each provincial SDSS identifying geographic areas to conduct response. 82.5% of confirmed cases were automatically geo-referenced and mapped at the household level, with 100% of remaining cases geo-referenced at a village level. Data from the AOI analysis indicated different stages of progress in each province, highlighting operational implications with regards to strategies for implementing surveillance-response in consideration of the spatiotemporal nature of cases as well as logistical and financial constraints of the respective programmes.ConclusionsGeospatial systems developed to guide Pacific Island malaria elimination demonstrate the application of a high resolution SDSS-based approach to support key elements of surveillance-response including understanding epidemiological variation within target areas, implementing appropriate foci-specific targeted response, and consideration of logistical constraints and costs.

Dataset Information

First Complete Genome Sequences of Dengue Virus Serotype 2 Strains from the Solomon Islands and Vanuatu.

Publications

First Complete Genome Sequences of Dengue Virus Serotype 2 Strains from the Solomon Islands and Vanuatu.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets