Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands.
Kerala State Disaster Management Authority (KSDMA), Thiruvananthapuram, Kerala, India.
Int J Health Geogr. 2024 May 13;23(1):11. doi: 10.1186/s12942-024-00372-9.
A growing number of studies have linked the incidence of leptospirosis with the occurrence of flood events. Nevertheless, the interaction between flood and leptospirosis has not been extensively studied to understand the influence of flood attributes in inducing new cases. This study reviews leptospirosis cases in relation to multiple flood occurrences in Kerala, India. Leptospirosis data were obtained for three years: 2017 (non-flood year) and two years with flooding-2018 (heavy flooding) and 2019 (moderate flooding). We considered the severity of flood events using the discharge, duration and extent of each flooding event and compared them with the leptospirosis cases. The distribution of cases regarding flood discharge and duration was assessed through descriptive and spatiotemporal analyses, respectively. Furthermore, cluster analyses and spatial regression were completed to ascertain the relationship between flood extent and the postflood cases. This study found that postflood cases of leptospirosis can be associated with flood events in space and time. The total cases in both 2018 and 2019 increased in the post-flood phase, with the increase in 2018 being more evident. Unlike the 2019 flood, the flood of 2018 is a significant spatial indicator for postflood cases. Our study shows that flooding leads to an increase in leptospirosis cases, and there is stronger evidence for increased leptospirosis cases after a heavy flood event than after a moderate flooding event. Flood duration may be the most important factor in determining the increase in leptospirosis infections.
越来越多的研究将钩端螺旋体病的发病率与洪水事件的发生联系起来。然而,洪水与钩端螺旋体病之间的相互作用尚未得到广泛研究,以了解洪水属性在引发新病例方面的影响。本研究回顾了印度喀拉拉邦与多次洪水有关的钩端螺旋体病病例。
2017 年(非洪水年)和两年的洪水期-2018 年(严重洪水)和 2019 年(中度洪水)。我们使用每次洪水事件的流量、持续时间和范围来考虑洪水事件的严重程度,并将其与钩端螺旋体病病例进行比较。通过描述性和时空分析分别评估了病例与洪水流量和持续时间的分布。此外,还完成了聚类分析和空间回归,以确定洪水范围与洪水后病例之间的关系。
本研究发现,钩端螺旋体病的洪水后病例可能与洪水事件在空间和时间上有关。2018 年和 2019 年的总病例数都在洪水后阶段增加,2018 年的增加更为明显。与 2019 年的洪水不同,2018 年的洪水是洪水后病例的一个重要空间指标。我们的研究表明,洪水会导致钩端螺旋体病病例增加,而且在重洪事件后,钩端螺旋体病病例增加的证据强于在中度洪水事件后。洪水持续时间可能是决定钩端螺旋体病感染增加的最重要因素。