Francis I. Proctor Foundation, University of California, San Francisco, CA 94518.
Climate, Atmospheric Science & Physical Oceanography (CASPO), Scripps Institution of Oceanography, University of California, San Diego, CA 92093.
Proc Natl Acad Sci U S A. 2023 Dec 12;120(50):e2218789120. doi: 10.1073/pnas.2218789120. Epub 2023 Dec 5.
The Ganges-Brahmaputra-Meghna river basin, running through Tibet, Nepal, Bhutan, Bangladesh, and northern India, is home to more than 618 million people. Annual monsoons bring extensive flooding to the basin, with floods predicted to be more frequent and extreme due to climate change. Yet, evidence regarding the long-term impacts of floods on children's health is lacking. In this analysis, we used high-resolution maps of recent large floods in Bangladesh to identify flood-prone areas over the country. We then used propensity score techniques to identify, among 58,945 mothers interviewed in six demographic population-based surveys throughout Bangladesh, matched cohorts of exposed and unexposed mothers and leverage data on 150,081 births to estimate that living in flood-prone areas was associated with an excess risk in infant mortality of 5.3 (95% CI 2.2 to 8.4) additional deaths per 1,000 births compared to living in non-flood-prone areas over the 30-y period between 1988 and 2017, with higher risk for children born during rainy (7.9, 95% CI: 3.3 to 12.5) vs. dry months (3.1, 95% CI: -1.1 to 7.2). Finally, drawing on national-scale, high-resolution estimates of flood risk and population distribution, we estimated an excess of 152,753 (64,120 to 241,386) infant deaths were attributable to living in flood-prone areas in Bangladesh over the past 30 y, with marked heterogeneity in attributable burden by subdistrict. Our approach demonstrates the importance of measuring longer-term health impacts from floods and provides a generalizable example for how to study climate-related exposures and long-term health effects.
恒河-布拉马普特拉河-梅格纳河流域流经西藏、尼泊尔、不丹、孟加拉国和印度北部,拥有超过 6.18 亿人口。每年的季风给该流域带来了广泛的洪水,由于气候变化,预计洪水将更加频繁和极端。然而,关于洪水对儿童健康的长期影响的证据仍然缺乏。在这项分析中,我们使用孟加拉国最近几次大型洪水的高分辨率地图,确定了该国易受洪水影响的地区。然后,我们使用倾向评分技术,在孟加拉国六个人口普查的基础调查中采访的 58945 名母亲中,确定了暴露组和非暴露组的匹配队列,并利用 150081 例出生数据,估计与生活在非易洪区相比,生活在易洪区的婴儿死亡风险增加了 5.3(95%CI2.2 至 8.4),每 1000 例出生额外死亡 5.3 例,在 1988 年至 2017 年的 30 年期间,这一风险在雨季(7.9,95%CI:3.3 至 12.5)出生的儿童中更高,而在旱季(3.1,95%CI:-1.1 至 7.2)出生的儿童中则较低。最后,根据全国范围内洪水风险和人口分布的高分辨率估计,我们估计在过去 30 年里,孟加拉国易受洪水影响的地区有超过 152753 名(64120 至 241386 名)婴儿死亡可归因于居住在洪水易发地区,各区的归因负担存在显著差异。我们的方法表明,衡量洪水对健康的长期影响非常重要,并为如何研究与气候有关的暴露和长期健康影响提供了一个可推广的范例。