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Background Gastrointestinal nematodes (GIN) have significant economic impacts on livestock production worldwide. Comprehensive information on their epidemiology is crucial for effective control. In Africa, limited data are available on the genetic diversity of GIN, as most studies rely on faecal egg counts and larvae morphology, which provide low resolution. This study aimed to assess GIN diversity and evaluate deep-amplicon-based sequencing tools in an African setting.
Abstract Foot-and-mouth disease (FMD) continues to be a major global disease, directly impacting endemic regions and indirectly affecting FMD-free regions. Reliable estimates of key epidemiological parameters, such as transmission rates, from empirical field data are scarce yet essential for developing statistical and mathematical models to assess control strategies and inform policy.
Nature Communications, Feb 2023 This is a preview of a remote PDF: https://www.nature.com/articles/s41467-023-35890-w.pdf Munk, Patrick, Brinch, Christian, Møller, Frederik Duus, Petersen, Thomas N., Hendriksen, Rene S., Seyfarth, Anne Mette, Kjeldgaard, Jette S., Svendsen, Christina Aaby, van Bunnik, Bram, Berglund, Fanny, Larsson, D. G. Joakim, Koopmans, Marion, Woolhouse, Mark, Aarestrup, Frank M.. , Nature Communications, DOI: 10.1038/s41467-023-35890-w
Study design A cross-sectional study targeting synanthropic wildlife and sympatric human and livestock populations in Nairobi, Kenya, was carried out from August 2015 to October 2016 as part of the Urban Zoo Project [9]. Briefly, Nairobi city was stratified into administrative sublocations according to socioeconomic status, identifying 70 possible sub-locations.
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