After their re-emergence in the last decades, dengue fever and other vector-borne diseases are a potential threat to the lives of millions of people. Based on a data set of dengue cases in the Brazilian city of Fortaleza, collected from 2011 to 2016, we study the spatio-temporal characteristics of dengue outbreaks to characterize epidemic and non-epidemic years. First, we identify regions that show a high prevalence of dengue cases and mosquito larvae in different years and also analyze their corresponding correlations. Our results show that the characteristic correlation length of the epidemic is of the order of the system size, suggesting that factors such as citizen mobility may play a major role as a drive for spatial spreading of vector-borne diseases. Inspired by this observation, we perform a mean-field estimation of the basic reproduction number and find that our estimated values agree well with the values reported for other regions, pointing towards similar underlying spreading mechanisms. These findings provide insights into the spreading characteristics of dengue in densely populated areas and should be of relevance for the design of improved disease containment strategies.
Climate and dengue synchronization in southern Brazil: a municipal analysis with cross-state validation
University of São Paulo（圣保罗大学）；State University of Ponta Grossa（蓬塔格罗萨州立大学）；Potsdam Institute for Climate Impact Research（波茨坦气候影响研究所）；Humboldt University Berlin（柏林洪堡大学）；BCAM - Basque Center for Applied Mathematics（巴斯克应用数学中心）；Ikerbasque, Basque Foundation for Science（伊克尔巴斯基，巴斯克科学基金会）
Climate change and human mobility will shape dengue emergence risk in Europe
University of Padua（帕多瓦大学）；Istituto Nazionale di Fisica Nucleare, Sez. Padova（意大利国家核物理研究所帕多瓦分部）；Istituto Nazionale di Fisica Nucleare, Sez. Milano Bicocca（意大利国家核物理研究所米兰比科卡分部）；University of Parma（帕尔马大学）；Padova Neuroscience Center, University of Padua（帕多瓦大学帕多瓦神经科学中心）；University of Genoa（热那亚大学）；Machine Learning Genoa Center, University of Genoa（热那亚大学机器学习热那亚中心）；Padua Center for Network Medicine, University of Padua（帕多瓦大学帕多瓦网络医学中心）
Modeling plant disease spread via high-resolution human mobility networks
Center for Complex Networks and Systems Research, Luddy School of Informatics, Computing, and Engineering, Indiana University（印第安纳大学卢迪信息、计算与工程学院复杂网络与系统研究中心）；Indiana University（印第安纳大学）；School of Public Health, Indiana University（印第安纳大学公共卫生学院）；Onside
