A spatial predictive model for malaria resurgence in central Greece integrating entomological, environmental and social data

Abstract

Malaria constitutes an important cause of human mortality. After 2009 Greece experienced a resurgence of malaria. Here, we develop a model-based framework that integrates entomological, geographical, social and environmental evidence in order to guide the mosquito control efforts and apply this framework to data from an entomological survey study conducted in Central Greece. Our results indicate that malaria transmission risk in Greece is potentially substantial. In addition, specific districts such as seaside, lakeside and rice field regions appear to represent potential malaria hotspots in Central Greece. We found that appropriate maps depicting the basic reproduction number, R0, are useful tools for informing policy makers on the risk of malaria resurgence and can serve as a guide to inform recommendations regarding control measures.

Publication DOI: https://doi.org/10.1371/journal.pone.0178836
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: © 2017 Pergantas et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Publication ISSN: 1932-6203
Last Modified: 21 May 2024 07:12
Date Deposited: 30 Jul 2019 10:47
Full Text Link:
Related URLs: https://journal ... al.pone.0178836 (Publisher URL)
PURE Output Type: Article
Published Date: 2017-06-29
Accepted Date: 2017-05-19
Authors: Pergantas, Panagiotis
Tsatsaris, Andreas
Malesios, Chrisovalantis (ORCID Profile 0000-0003-0378-3939)
Kriparakou, Georgia
Demiris, Nikolaos
Tselentis, Yiannis

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