Title: A framework for predicting the effects of climate change on the annual distribution of Lyme borreliosis incidences
Authors: Ákos Bede-Fazekas; Attila J. Trájer
Addresses: Institute of Ecology and Botany, MTA Centre for Ecological Research, Alkotmány u. 2-4., H-2163 Vácrátót, Hungary; GINOP Sustainable Ecosystems Group, MTA Centre for Ecological Research, Klebelsberg Kuno u. 3., H-8237 Tihany, Hungary ' Department of Limnology, University of Pannonia, Egyetem u. 10., H-8200 Veszprém, Hungary
Abstract: Global climate change is predicted to affect both the spatial and annual distributions of vector-borne diseases. Tick-borne diseases are particularly sensitive to the changing climatic conditions. Modelling them is, however, challenging due to the input-intensity of these models. A framework with low number of inputs (easily accessible weekly temperature data and week numbers) on modelling the seasonality of Lyme borreliosis incidences is presented. The modelling framework enables predicting the annual distribution of Ixodes ricinus tick's biting activity and Lyme borreliosis in two cascading phases, incorporating a population dynamics approach. The model is calibrated for Hungary as a case study, for the period of 1998-2008, using tick-borne encephalitis series as a proxy for biting activity. Prediction to the future period of 2081-2100 is also provided. Climate change may significantly alter both the annual distribution of I. ricinus activity and that of the Lyme borreliosis incidences. The currently unimodal annual distribution of Lyme borreliosis is predicted to become bimodal with a long summer pause and a spring maximum shifted 8 weeks earlier.
Keywords: Lyme borreliosis; climate change; Ixodes ricinus; tick-borne encephalitis; prediction.
International Journal of Global Warming, 2019 Vol.18 No.1, pp.81 - 102
Received: 03 Oct 2018
Accepted: 19 Apr 2019
Published online: 14 Jun 2019 *