TY - JOUR
T1 - Effects of climatic and environmental factors on mosquito population inferred from West Nile virus surveillance in Greece
AU - Ferraccioli, Federico
AU - Riccetti, Nicola
AU - Fasano, Augusto
AU - Mourelatos, Spiros
AU - Kioutsioukis, Ioannis
AU - Stilianakis, Nikolaos I.
PY - 2023
Y1 - 2023
N2 - Mosquito-borne diseases’ impact on human health is among the most prominent of all communicable diseases. With limited pool of tools to contrast these diseases, public health focus remains preventing mosquito-human contacts. Applying a hierarchical spatio-temporal Bayesian model on West Nile virus (WNV) surveillance data from Greece, we aimed to investigate the impact of climatic and environmental factors on Culex mosquitoes’ population. Our spatio-temporal analysis confirmed climatic factors as major drivers of WNV-transmitting-Culex mosquitoes population dynamics, with temperature and long periods of moderate-to-warm climate having the strongest positive effect on mosquito abundance. Conversely, rainfall, high humidity, and wind showed a negative impact. The results suggest the presence of statistically significant differences in the effect of regional and seasonal characteristics, highlighting the complex interplay between climatic, geographical and environmental factors in the dynamics of mosquito populations. This study may represent a relevant tool to inform public health policymakers in planning preventive measures.
AB - Mosquito-borne diseases’ impact on human health is among the most prominent of all communicable diseases. With limited pool of tools to contrast these diseases, public health focus remains preventing mosquito-human contacts. Applying a hierarchical spatio-temporal Bayesian model on West Nile virus (WNV) surveillance data from Greece, we aimed to investigate the impact of climatic and environmental factors on Culex mosquitoes’ population. Our spatio-temporal analysis confirmed climatic factors as major drivers of WNV-transmitting-Culex mosquitoes population dynamics, with temperature and long periods of moderate-to-warm climate having the strongest positive effect on mosquito abundance. Conversely, rainfall, high humidity, and wind showed a negative impact. The results suggest the presence of statistically significant differences in the effect of regional and seasonal characteristics, highlighting the complex interplay between climatic, geographical and environmental factors in the dynamics of mosquito populations. This study may represent a relevant tool to inform public health policymakers in planning preventive measures.
KW - Mosquito abundance
KW - Poisson regression
KW - Spatio-temporal model
KW - Mosquito abundance
KW - Poisson regression
KW - Spatio-temporal model
UR - http://hdl.handle.net/10807/257963
U2 - 10.1038/s41598-023-45666-3
DO - 10.1038/s41598-023-45666-3
M3 - Article
SN - 2045-2322
VL - 13
SP - 1
EP - 12
JO - Scientific Reports
JF - Scientific Reports
ER -