Publications by authors named "F M Tomley"

Objectives: We assessed the transmission of SARS-CoV-2 and vaccine receipt in a representative sample of wet market workers in a highly dense, low-income setting. Wet markets are key in many Asian settings, including Dhaka, Bangladesh, for fresh food, including animal protein.

Methods: During early 2022, we assessed the prevalence of anti-SARS-CoV-2 antibodies in a random sample of poultry and vegetable workers in 15 wet markets, and investigated associations with socio-demographic characteristics and COVID-19 vaccination.

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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.

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Poultry manure is widely used as organic fertilizer in agriculture during the cultivation of crops, but the persistent high-level use of antibiotics in poultry production has raised concerns about the selection for reservoirs of antimicrobial resistance genes (ARGs). Previous studies have shown that the addition of poultry manure can increase the abundance of genes associated with resistance to tetracyclines, aminoglycosides, fluoroquinolones, sulfonamides, bacitracin, chloramphenicol, and macrolide-lincosamide-streptogramin in soil and plants. Understanding the microbial populations that harbor these ARGs is important to identify microorganisms that could enter the human food chain.

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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.
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Coccidiosis, caused by parasites, significantly impacts poultry farm economics and animal welfare. Beyond its direct impact on health, infection disrupts enteric microbial populations leading to dysbiosis and increases vulnerability to secondary diseases such as necrotic enteritis, caused by . The impact of infection or anticoccidial vaccination on host gastrointestinal phenotypes and enteric microbiota remains understudied.

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