Dataset Information

Highly pathogenic avian influenza (A/H5N1) virus outbreaks in Lesotho, May 2021.

ABSTRACT: In May 2021, Lesotho reported its first outbreak of highly pathogenic avian influenza (HPAI) to the OIE. Samples were collected from infected poultry and the virus was confirmed by molecular tests to be of the H5N1 subtype. Full genome sequencing and phylogenetic analysis revealed that the viruses belonged to clade 2.3.4.4b and showed high identity with A/H5N1 viruses identified in Nigeria and Senegal in early 2021. The identification of A/H5N1 HPAI in Lesotho has important implications for disease management and food security in the region.

SUBMITTER: Makalo MRJ

PROVIDER: S-EPMC8920393 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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Highly pathogenic avian influenza (A/H5N1) virus outbreaks in Lesotho, May 2021.

Makalo Mabusetsa R J MRJ Dundon William G WG Settypalli Tirumala B K TBK Datta Sneha S Lamien Charles E CE Cattoli Giovanni G Phalatsi Moeketsi S MS Lepheana Relebohile J RJ Matlali Mpaliseng M Mahloane Relebohile G RG Molomo Marosi M Mphaka Palesa C PC

Emerging microbes & infections 20221201 1

In May 2021, Lesotho reported its first outbreak of highly pathogenic avian influenza (HPAI) to the OIE. Samples were collected from infected poultry and the virus was confirmed by molecular tests to be of the H5N1 subtype. Full genome sequencing and phylogenetic analysis revealed that the viruses belonged to clade 2.3.4.4b and showed high identity with A/H5N1 viruses identified in Nigeria and Senegal in early 2021. The identification of A/H5N1 HPAI in Lesotho has important implications for dise ...[more]

PMID: 35171076

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Project description:BackgroundThe agro-ecology and poultry husbandry of the south Asian and south-east Asian countries share common features, however, with noticeable differences. Hence, the ecological determinants associated with risk of highly pathogenic avian influenza (HPAI-H5N1) outbreaks are expected to differ between Bangladesh and e.g., Thailand and Vietnam. The primary aim of the current study was to establish ecological determinants associated with the risk of HPAI-H5N1 outbreaks at subdistrict level in Bangladesh. The secondary aim was to explore the performance of two different statistical modeling approaches for unmeasured spatially correlated variation.Methodology/principal findingsAn ecological study at subdistrict level in Bangladesh was performed with 138 subdistricts with HPAI-H5N1 outbreaks during 2007-2008, and 326 subdistricts with no outbreaks. The association between ecological determinants and HPAI-H5N1 outbreaks was examined using a generalized linear mixed model. Spatial clustering of the ecological data was modeled using 1) an intrinsic conditional autoregressive (ICAR) model at subdistrict level considering their first order neighbors, and 2) a multilevel (ML) model with subdistricts nested within districts. Ecological determinants significantly associated with risk of HPAI-H5N1 outbreaks at subdistrict level were migratory birds' staging areas, river network, household density, literacy rate, poultry density, live bird markets, and highway network. Predictive risk maps were derived based on the resulting models. The resulting models indicate that the ML model absorbed some of the covariate effect of the ICAR model because of the neighbor structure implied in the two different models.Conclusions/significanceThe study identified a new set of ecological determinants related to river networks, migratory birds' staging areas and literacy rate in addition to already known risk factors, and clarified that the generalized concept of free grazing duck and duck-rice cultivation interacted ecology are not significant determinants for Bangladesh. These findings will refine current understanding of the HPAI-H5N1 epidemiology in Bangladesh.

Dataset Information

Highly pathogenic avian influenza (A/H5N1) virus outbreaks in Lesotho, May 2021.

Publications

Highly pathogenic avian influenza (A/H5N1) virus outbreaks in Lesotho, May 2021.

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