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全球猴痘病例与气象因素的关联。

Association between Global Monkeypox Cases and Meteorological Factors.

机构信息

Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj 2310, Bangladesh.

COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.

出版信息

Int J Environ Res Public Health. 2022 Nov 24;19(23):15638. doi: 10.3390/ijerph192315638.

Abstract

The emergence of an outbreak of Monkeypox disease (MPXD) is caused by a contagious zoonotic Monkeypox virus (MPXV) that has spread globally. Yet, there is no study investigating the effect of climatic changes on MPXV transmission. Thus, studies on the changing epidemiology, evolving nature of the virus, and ecological niche are highly paramount. Determination of the role of potential meteorological drivers including temperature, precipitation, relative humidity, dew point, wind speed, and surface pressure is beneficial to understand the MPXD outbreak. This study examines the changes in MPXV cases over time while assessing the meteorological characteristics that could impact these disparities from the onset of the global outbreak. To conduct this data-based research, several well-accepted statistical techniques including Simple Exponential Smoothing (SES), Auto-Regressive Integrated Moving Average (ARIMA), Automatic forecasting time-series model (Prophet), and Autoregressive Integrated Moving Average with Explanatory Variables (ARIMAX) were applied to delineate the correlation of the meteorological factors on global daily Monkeypox cases. Data on MPXV cases including affected countries spanning from 6 May 2022, to 9 November 2022, from global databases and meteorological data were used to evaluate the developed models. According to the ARIMAX model, the results showed that temperature, relative humidity, and surface pressure have a positive impact [(51.56, 95% confidence interval (CI): -274.55 to 377.68), (17.32, 95% CI: -83.71 to 118.35) and (23.42, 95% CI: -9.90 to 56.75), respectively] on MPXV cases. In addition, dew/frost point, precipitation, and wind speed show a significant negative impact on MPXD cases. The Prophet model showed a significant correlation with rising MPXD cases, although the trend predicts peak values while the overall trend increases. This underscores the importance of immediate and appropriate preventive measures (timely preparedness and proactive control strategies) with utmost priority against MPXD including awareness-raising programs, the discovery, and formulation of effective vaccine candidate(s), prophylaxis and therapeutic regimes, and management strategies.

摘要

猴痘病(MPXD)的爆发是由一种具有传染性的人畜共患猴痘病毒(MPXV)引起的,该病毒已在全球范围内传播。然而,目前还没有研究调查气候变化对 MPXV 传播的影响。因此,研究病毒的不断变化的流行病学、进化性质和生态位至关重要。确定包括温度、降水、相对湿度、露点、风速和地面气压在内的潜在气象驱动因素的作用,有助于了解 MPXD 的爆发情况。本研究通过评估可能影响全球爆发开始时这些差异的气象特征,来检查 MPXV 病例随时间的变化。为了进行这项基于数据的研究,应用了几种公认的统计技术,包括简单指数平滑(SES)、自回归综合移动平均(ARIMA)、自动预测时间序列模型(Prophet)和具有解释变量的自回归综合移动平均(ARIMAX),以描绘气象因素与全球每日猴痘病例的相关性。使用来自全球数据库和气象数据的 2022 年 5 月 6 日至 11 月 9 日期间的 MPXV 病例数据,评估所开发的模型。根据 ARIMAX 模型,结果表明,温度、相对湿度和地面气压对 MPXV 病例有积极影响[(51.56,95%置信区间(CI):-274.55 至 377.68),(17.32,95%CI:-83.71 至 118.35)和(23.42,95%CI:-9.90 至 56.75)]。此外,露水/霜点、降水和风速对 MPXD 病例有显著的负面影响。Prophet 模型显示与 MPXD 病例的上升呈显著相关性,尽管趋势预测峰值,而整体趋势上升。这强调了立即采取适当的预防措施(及时准备和积极的控制策略)的重要性,包括提高认识的方案、发现和制定有效的疫苗候选物、预防和治疗方案以及管理策略,以对抗 MPXD。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fe4/9740470/eb51f3afa766/ijerph-19-15638-g001.jpg

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