Association between climatic and nonclimatic parameters and transmission of SARS-CoV-2 infection in Nepal

S. Tandukar, D. Bhandari, R. Shrestha, S. Sherchan, Anil Aryal
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引用次数: 2

Abstract

Background: Preliminary evidence suggests that environmental factors may modify the transmission of SARS-CoV-2 infection. Although the role of non-pharmaceutical interventions (NPIs) on the reduction of SARS-CoV-2 transmission rate is well explored, the role of local climate across different geographical transects on the onset and transmission of SARS-CoV-two remains unclear. Aims and Objectives: In this study, we explored the potential association among climatic factors, non-climatic factors and COVID-19 burden, via Pearson correlation analysis. We also investigated the association between COVID-19 cases and cumulative effect of NPIs or behavioral changes during lockdown as non-climatic factors in our analysis. Setting and Design: The research was carried out in the COVID-19 impacted districts across Nepal. Material and Methods: The meteorological/climatic factors consisting of temperature and rainfall as predictor variables and total laboratory confirmed COVID-19 cases reported between January and May 2020 were considered in the study. Statistical Analysis Used: The statistical tests were carried out using R programming language. Results: Of the total 375 confirmed positive cases until May 19, 2020, clusters of the cases were diagnosed from the Terai region, which was associated with comparatively higher temperature and open border to India. Upon time series and spatial analysis, the number of positive cases increased after the end of April, possibly due to expansion of diagnostic tests throughout the country. We found a positive correlation betweenCOVID-19, and temperature indices (mean and minimum) (P < 0.05). Conclusions: In the absence of an effective vaccine, these findings can inform infection control division of Nepal on the implementation of effective NPIs based on the observed variability in meteorological factors, especially in prevention of possible second wave of infection during winter.
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尼泊尔气候和非气候参数与SARS-CoV-2感染传播之间的关系
背景:初步证据表明,环境因素可能改变SARS-CoV-2感染的传播。虽然非药物干预措施(npi)在降低SARS-CoV-2传播率方面的作用已经得到了很好的探索,但不同地理断面的当地气候对SARS-CoV-2发病和传播的作用仍不清楚。目的和目的:本研究通过Pearson相关分析,探讨气候因素、非气候因素与COVID-19负担之间的潜在关联。在我们的分析中,作为非气候因素,我们还调查了COVID-19病例与npi累积效应或封锁期间行为变化之间的关系。环境和设计:本研究在尼泊尔各地受COVID-19影响的地区进行。材料与方法:研究考虑了2020年1月至5月报告的以温度和降雨为预测变量的气象/气候因素以及实验室确诊的COVID-19病例总数。统计分析方法:采用R编程语言进行统计检验。结果:截至2020年5月19日,在375例确诊阳性病例中,聚集性病例来自特赖地区,该地区气温较高,与印度边境开放。根据时间序列和空间分析,4月底后阳性病例数增加,可能是由于在全国范围内扩大了诊断检测。新冠肺炎与气温指数(平均和最低)呈正相关(P < 0.05)。结论:在缺乏有效疫苗的情况下,这些发现可以为尼泊尔感染控制部门提供信息,根据观测到的气象因素变化实施有效的国家预防措施,特别是在预防冬季可能出现的第二波感染方面。
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