Modeling jointly landscape complexity and environmental heterogeneity to envision new strategies for tsetse flies control
Environmental heterogeneity drives tsetse fly population dynamics and control
Recommendation: posted 05 June 2019, validated 12 June 2019
Today, understanding spatio-temporal dynamics of pathogens is pivotal to understand their transmission and controlling them. First, understanding this dynamics can reveal the ecology of their transmission . Indeed, such knowledge, based on data that are quite easy to access, can shed light on transmission modes, which could rely on different animal species that can be spatially distributed in a non-uniform way . This is especially true for pathogens with complex life-cycles, despite that investigating such dynamics is very challenging and rely mostly on mathematical models.
Moreover, this knowledge can also highlight some weak points in a complex web of transmission and therefore allowing us to envision new innovative control strategies. This has been first proposed on human pathogens, where connectivity among populations can be analyzed to identify which connections need to be targeted to stop or slow down an epidemics . However, this idea is increasingly recognized as a promising new approach for pathogens involving vector populations, especially regarding the complexity to decrease on a long-term the abundance of these vector populations .
In "Environmental heterogeneity drives tsetse fly population dynamics and control" , Cecilia and co-authors have developed a sophisticated spatio-temporal mechanistic model to figure out how local environment, involved within landscape of different complexities, can impact the population dynamics of tsetse flies, an invertebrate species that can serve as a vector for many pathogens of animal and human importance. They found that spatial patches with the lowest temperature mean and the lowest environmental fluctuations can act as refuge for this species, representing therefore preferential targets for disease control.
The reviewers and I agree that the mathematical framework developed address very well an important topic for both ecological and public health literature. More importantly, it shows how fundamental ecological knowledge can drive pathogen control strategies, opening an interesting avenue for cross-disciplinary research on vector-borne diseases.
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 Cecilia, H., Arnoux, S., Picault, S., Dicko, A., Seck, M. T., Sall, B., Bassène, M., Vreysen, M., Pagabeleguem, S., Bancé, A., Bouyer, J. and Ezanno, P.(2019). Environmental heterogeneity drives tsetse fly population dynamics and control. bioRxiv 493650, ver. 3 peer-reviewed and recommended by PCI Ecology. doi: 10.1101/493650
Benjamin Roche (2019) Modeling jointly landscape complexity and environmental heterogeneity to envision new strategies for tsetse flies control. Peer Community in Ecology, 100024. 10.24072/pci.ecology.100024
The recommender in charge of the evaluation of the article and the reviewers declared that they have no conflict of interest (as defined in the code of conduct of PCI) with the authors or with the content of the article.
Evaluation round #1
DOI or URL of the preprint: https://doi.org/10.1101/493650
Version of the preprint: 1
Author's Reply, 26 May 2019
Decision by Benjamin Roche, posted 01 Mar 2019
With two reviewers, we had now assess your manuscript. As you will see, both reviewers found your manuscript very interesting, but have provided some insightful remarks, especially to improve clarity and add new perspectives to your study. Once these remarks would have been considered, I would be happy to recommend this manuscript.