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全球变化对 2050 年蛇咬伤发病率的影响:建模评估。

Effects of global change on snakebite envenoming incidence up to 2050: a modelling assessment.

机构信息

Departamento de Sistemas y Procesos Naturales, Escuela Nacional de Estudios Superiores Unidad Mérida, Universidad Nacional Autónoma de México, Mérida, Mexico; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.

School of Zoology, Department of Life Sciences, Tel Aviv University, Tel Aviv, Israel; Department of Zoology, Kannur University, Kannur, India.

出版信息

Lancet Planet Health. 2024 Aug;8(8):e533-e544. doi: 10.1016/S2542-5196(24)00141-4.

Abstract

BACKGROUND

Human activities are driving climate, land cover, and population change (global change), and shifting the baseline geographical distribution of snakebite. The interacting effects of global change on snakes and communities at risk of snakebite are poorly understood, limiting capacity to anticipate and manage future changes in snakebite risk.

METHODS

In this modelling study, we projected how global change will affect snakebite envenoming incidence in Sri Lanka, as a model system that has a high incidence of snakebite. We used the shared socioeconomic pathway (SSP) scenario analysis framework to integrate forecasts across the domains of: climate change (historical trend from WorldClim plus three underlying regional circulation models [RCMs] in the Coordinated Regional Downscaling Experiment-South Asia repository, with two emissions pathways [representative concentration pathways RCP4.5 and RCP8.5]); land cover change (Dyna-CLUE model); and human population density change (based on Gridded Population of the World data) from Jan 1, 2010 to Dec 31, 2050. Forecasts were integrated under three different development scenarios: a sustainability pathway (SSP1 and no further emissions), a middle-of-the-road pathway (SSP2 and RCP4.5), and a fossil-fuelled pathway (SSP5 and RCP8.5). For SSP2 and SSP5, we nested three different RCMs (CNRM-CM5, GFDL-CCM3, and MPI-ESM-LR; mean averaged to represent consensus) to account for variability in climate predictions. Data were used as inputs to a mechanistic model that predicted snakebite envenoming incidence based on human-snake contact patterns.

FINDINGS

From 2010 to 2050, at the national level, envenoming incidence in Sri Lanka was projected to decrease by 12·0-23·0%, depending on the scenario. The rate of decrease in envenoming incidence was higher in SSP5-RCP8.5 than in SSP1 and SSP2-RCP4.5. Change in envenoming incidence was heterogenous across the country. In SSP1, incidence decreased in urban areas expected to have population growth, and with land cover changes towards anthropised classes. In SSP2-RCP4.5 and SSP5-RCP8.5, most areas were projected to have decreases in incidence (SSP5-RCP8.5 showing the largest area with incidence reductions), while areas such as the central highlands and the north of the country showed localised increases. In the model, decreases occurred with human population growth, land use change towards anthropised classes (potentially shifting occupational risk factors), and decreasing abundance of some snake species, potentially due to global warming and reduced climatic and habitat suitability, with displacement of some snake species.

INTERPRETATION

Snakebite envenoming incidence was projected to decrease overall in the coming decades in Sri Lanka, but with an apparent emerging conflict with sustainability objectives. Therefore, efforts to mitigate snakebite envenoming incidence will need to consider the potential impacts of sustainability interventions, particularly related to climate and land use change and in areas where increases in incidence are projected. In view of global change, neglected tropical diseases and public health issues related to biodiversity, such as snakebite, should be managed collaboratively by both environment and health stakeholders.

FUNDING

UK Medical Research Council.

摘要

背景

人类活动正在推动气候、土地覆盖和人口变化(全球变化),并改变蛇伤的地理分布基线。全球变化对蛇类和面临蛇伤风险的社区的相互作用影响了解甚少,这限制了人们预测和管理未来蛇伤风险变化的能力。

方法

在这项建模研究中,我们预测了全球变化将如何影响斯里兰卡的蛇咬伤发病率,作为一个发病率高的模型系统。我们使用共享社会经济路径(SSP)情景分析框架,整合了以下领域的预测:气候变化(世界气象组织气候数据集加上协调区域降尺度实验-南亚库中的三个基础区域环流模型[RCM],具有两种排放途径[代表性浓度途径 RCP4.5 和 RCP8.5]);土地覆盖变化(Dyna-CLUE 模型);以及人口密度变化(基于全球人口网格数据),从 2010 年 1 月 1 日至 2050 年 12 月 31 日。在三种不同的发展情景下,对预测结果进行了整合:可持续性情景(SSP1 和不再排放)、中间道路情景(SSP2 和 RCP4.5)和化石燃料驱动情景(SSP5 和 RCP8.5)。对于 SSP2 和 SSP5,我们嵌套了三个不同的 RCM(CNRM-CM5、GFDL-CCM3 和 MPI-ESM-LR;平均值表示共识),以解释气候预测的变化。数据被用作一种基于人类与蛇接触模式预测蛇咬伤发病率的机制模型的输入。

结果

从 2010 年到 2050 年,在全国范围内,根据情景的不同,斯里兰卡的咬伤发病率预计将下降 12.0%至 23.0%。在 SSP5-RCP8.5 中,咬伤发病率的下降速度高于 SSP1 和 SSP2-RCP4.5。全国范围内咬伤发病率的变化存在异质性。在 SSP1 中,预计人口增长的城市地区以及土地覆盖向人类化类别转变的地区,发病率下降。在 SSP2-RCP4.5 和 SSP5-RCP8.5 中,预计大多数地区的发病率将下降(SSP5-RCP8.5 显示出发病率降低幅度最大的地区),而该国中部高地和北部等地区则显示出局部上升。在模型中,随着人口增长、土地利用向人类化类别转变(可能改变职业风险因素)以及一些蛇类数量减少,咬伤发病率下降,这可能是由于全球变暖以及气候和栖息地适宜性下降,导致一些蛇类物种的迁移。

解释

预计在未来几十年,斯里兰卡的蛇咬伤发病率总体上将下降,但与可持续性目标明显存在冲突。因此,减轻蛇咬伤发病率的努力需要考虑可持续性干预措施的潜在影响,特别是与气候和土地利用变化有关的影响,以及预计发病率上升的地区。鉴于全球变化,被忽视的热带病和与生物多样性有关的公共卫生问题,如蛇伤,应该由环境和卫生利益相关者共同管理。

资金

英国医学研究理事会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32f3/11327114/98b122f2e5b2/gr1.jpg

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