Negative density-dependent dispersal in tsetse (Glossina spp): An artefact of inappropriate analysis

Phillips, Margaret A., Hargrove, John W., Van Sickle, John, Vale, Glyn A. and Lucas, Eric ORCID: https://orcid.org/0000-0003-3892-1668 (2021) 'Negative density-dependent dispersal in tsetse (Glossina spp): An artefact of inappropriate analysis'. PLoS Neglected Tropical Diseases, Vol 15, Issue 3, e0009026.

Preview

Text Hargrove et al 2021.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview

Abstract

Vector-borne disease control relies on efficient vector surveillance, mostly carried out using traps whose number and locations are often determined by expert opinion rather than a rigorous quantitative sampling design. In this work we propose a framework for ecological sampling design which in its preliminary stages can take into account environmental conditions obtained from open data (i.e. remote sensing and meteorological stations) not necessarily designed for ecological analysis. These environmental data are used to delimit the area into ecologically homogeneous strata. By employing Bayesian statistics within a model-based sampling design, the traps are deployed among the strata using a mixture of random and grid locations which allows balancing predictions and model-fitting accuracies. Sample sizes and the effect of ecological strata on sample sizes are estimated from previous mosquito sampling campaigns open data. Notably, we found that a configuration of 30 locations with four households each (120 samples) will have a similar accuracy in the predictions of mosquito abundance as 200 random samples. In addition, we show that random sampling independently from ecological strata, produces biased estimates of the mosquito abundance. Finally, we propose standardizing reporting of sampling designs to allow transparency and repetition/re-use in subsequent sampling campaigns.

Item Type:	Article
Subjects:	QX Parasitology > QX 20 Research (General) QX Parasitology > QX 4 General works QX Parasitology > Insects. Other Parasites > QX 505 Diptera
Faculty: Department:	Biological Sciences > Vector Biology Department
Digital Object Identifer (DOI):	https://doi.org/10.1371/journal.pntd.0009026
Depositing User:	Samantha Sheldrake
Date Deposited:	13 Apr 2021 14:42
Last Modified:	13 Apr 2021 14:42
URI:	https://archive.lstmed.ac.uk/id/eprint/17462

Statistics

View details

Actions (login required)

Edit Item