加尔各答霍乱的季节性特征及其气候影响。

Seasonality of cholera in Kolkata and the influence of climate.

机构信息

College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK.

Department of Mathematics, University of Exeter, Exeter, UK.

出版信息

BMC Infect Dis. 2023 Sep 2;23(1):572. doi: 10.1186/s12879-023-08532-1.

Abstract

BACKGROUND

Cholera in Kolkata remains endemic and the Indian city is burdened with a high number of annual cases. Climate change is widely considered to exacerbate cholera, however the precise relationship between climate and cholera is highly heterogeneous in space and considerable variation can be observed even within the Indian subcontinent. To date, relatively few studies have been conducted regarding the influence of climate on cholera in Kolkata.

METHODS

We considered 21 years of confirmed cholera cases from the Infectious Disease Hospital in Kolkata during the period of 1999-2019. We used Generalised Additive Modelling (GAM) to extract the non-linear relationship between cholera and different climatic factors; temperature, rainfall and sea surface temperature (SST). Peak associated lag times were identified using cross-correlation lag analysis.

RESULTS

Our findings revealed a bi-annual pattern of cholera cases with two peaks coinciding with the increase in temperature in summer and the onset of monsoon rains. Variables selected as explanatory variables in the GAM model were temperature and rainfall. Temperature was the only significant factor associated with summer cholera (mean temperature of 30.3 °C associated with RR of 3.8) while rainfall was found to be the main driver of monsoon cholera (550 mm total monthly rainfall associated with RR of 3.38). Lag time analysis revealed that the association between temperature and cholera cases in the summer had a longer peak lag time compared to that between rainfall and cholera during the monsoon. We propose several mechanisms by which these relationships are mediated.

CONCLUSIONS

Kolkata exhibits a dual-peak phenomenon with independent mediating factors. We suggest that the summer peak is due to increased bacterial concentration in urban water bodies, while the monsoon peak is driven by contaminated flood waters. Our results underscore the potential utility of preventative strategies tailored to these seasonal and climatic patterns, including efforts to reduce direct contact with urban water bodies in summer and to protect residents from flood waters during monsoon.

摘要

背景

加尔各答的霍乱仍然流行,这座印度城市每年都有大量霍乱病例。气候变化被广泛认为会使霍乱恶化,但气候与霍乱之间的精确关系在空间上高度异质,即使在印度次大陆内部也可以观察到相当大的差异。迄今为止,关于气候对加尔各答霍乱的影响,相对较少的研究。

方法

我们考虑了 1999 年至 2019 年期间,加尔各答传染病医院的 21 年确诊霍乱病例。我们使用广义加性模型(GAM)提取霍乱与不同气候因素(温度、降雨和海表温度(SST)之间的非线性关系。使用交叉相关滞后分析确定与峰值相关的滞后时间。

结果

我们的研究结果显示,霍乱病例呈双年度模式,两个峰值与夏季气温升高和季风降雨开始相吻合。GAM 模型中选择的解释变量为温度和降雨。温度是与夏季霍乱相关的唯一显著因素(与 RR 为 3.8 的 30.3°C 的平均温度相关),而降雨是季风霍乱的主要驱动因素(550mm 的总月降雨量与 RR 为 3.38 相关)。滞后时间分析表明,夏季温度与霍乱病例之间的关联具有比季风期间降雨与霍乱病例之间更长的峰值滞后时间。我们提出了几种机制来解释这些关系。

结论

加尔各答表现出双峰现象,并有独立的介导因素。我们认为夏季高峰是由于城市水体中细菌浓度增加所致,而季风高峰则是由受污染的洪水驱动的。我们的研究结果强调了针对这些季节性和气候模式制定预防策略的潜在效用,包括在夏季减少与城市水体的直接接触,以及在季风期间保护居民免受洪水影响的努力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1662/10474634/ca7c73b8e4de/12879_2023_8532_Fig1_HTML.jpg

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