TY - JOUR
T1 - A spatial predictive model for malaria resurgence in central Greece integrating entomological, environmental and social data
AU - Pergantas, Panagiotis
AU - Tsatsaris, Andreas
AU - Malesios, Chrisovalantis
AU - Kriparakou, Georgia
AU - Demiris, Nikolaos
AU - Tselentis, Yiannis
N1 - © 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.
PY - 2017/6/29
Y1 - 2017/6/29
N2 - 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.
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.
UR - https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0178836
U2 - 10.1371/journal.pone.0178836
DO - 10.1371/journal.pone.0178836
M3 - Article
SN - 1932-6203
VL - 12
JO - PLoS ONE
JF - PLoS ONE
IS - 6
M1 - e0178836
ER -