Publications by authors named "G J Fournie"
Chicken meat (broiler) production is a rapidly growing livestock sector in India, and one dominated by contract farming. Studies have reported high levels of antibiotic use in Indian broiler farms which is concerning given this is one of the driving forces for the development of antibiotic resistance. This study used the economic lens of agency theory to examine strategic decisions which occur during contract broiler production and their potential impact on antibiotic use, using West Bengal as a case study.
View Article and Find Full Text PDFNon-typhoidal in humans in India, Vietnam, Bangladesh and Sri Lanka: a systematic review.
JAC Antimicrob Resist
December 2024
Objectives: Non-typhoidal (NTS) commonly causes a self-limiting illness but invasive disease (iNTS) can be life-threatening. Antimicrobial resistance (AMR) increases the risk of mortality. This systematic review aimed to estimate the proportion of NTS isolated in those attending healthcare services, serovar burden, AMR, serovar-specific AMR, and case fatality rate (CFR) in India, Bangladesh, Sri Lanka and Vietnam.
View Article and Find Full Text PDFBackground: Genomic epidemiology has helped reconstruct the global and regional movement of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, there is still a lack of understanding of SARS-CoV-2 spread in some of the world's least developed countries (LDCs).
Methods: To begin to address this disparity, we studied the transmission dynamics of the virus in Bangladesh during the country's first COVID-19 wave by analysing case reports and whole-genome sequences from all eight divisions of the country.
Article Synopsis
- The study emphasizes the significance of understanding how farm locations and sizes affect disease spread, especially as livestock production intensifies in certain regions, making accurate spatial data crucial for effective interventions.
- Researchers created a Farm Distribution Model (FDM) that predicts poultry farm locations and sizes in data-scarce countries using advanced modeling techniques, including a Log-Gaussian Cox process and random forest model.
- The FDM provides realistic farm distributions and highlights that spatial clustering increases epidemic vulnerability, demonstrating the model's importance in predicting disease spread in areas without extensive data.
High pathogenicity avian influenza virus (HPAIV) is a rapidly evolving virus causing significant economic and environmental harm. Wild birds are a key viral reservoir and an important source of viral incursions into animal populations, including poultry. However, we lack a thorough understanding of which species drive incursions and whether this changes over time.
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