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

Panagiotis Pergantas; Andreas Tsatsaris; Chrisovalantis Malesios; Georgia Kriparakou; Nikolaos Demiris; Yiannis Tselentis

doi:10.1371/journal.pone.0178836

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

Panagiotis Pergantas
, Andreas Tsatsaris
, Chrisovalantis Malesios
, Georgia Kriparakou
, Nikolaos Demiris
, Yiannis Tselentis

Operations and Service Management

Research output: Contribution to journal › Article › peer-review

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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.

Original language	English
Article number	e0178836
Journal	PLoS ONE
Volume	12
Issue number	6
DOIs	https://doi.org/10.1371/journal.pone.0178836
Publication status	Published - 29 Jun 2017

Bibliographical note

© 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.

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A spatial predictive model for malaria resurgence in central GreeceFinal published version, 13.6 MBLicence: CC BY 3.0

Cite this

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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.",

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AU - Pergantas, Panagiotis

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AU - Malesios, Chrisovalantis

AU - Kriparakou, Georgia

AU - Demiris, Nikolaos

AU - Tselentis, Yiannis

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AB - 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.

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

Abstract

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