Data Sharing in Southeast Asia During the First Wave of the COVID-19 Pandemic.

Data Sharing in Southeast Asia During the First Wave of the COVID-19 Pandemic.
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DOI:
10.3389/fpubh.2021.662842
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发表时间:
2021
影响因子:
5.2
通讯作者:
Rawson T
Rawson T
中科院分区:
医学3区
文献类型:
--
作者:
Amit AML;Pepito VCF;Gutierrez B;Rawson T

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背景:当一种新的病原体出现时,一致的病例报告对公共卫生监测至关重要。在地理上和随着时间的推移跟踪病例是了解传染病传播和有效设计干预措施以遏制和缓解流行病的关键。在本文中,我们描述了2020年第一波COVID-19在东南亚的报告系统,并强调了具体报告方法的影响。研究方法:我们审查了来自各种来源的关键流行病学变量,包括东南亚第一波疫情期间11个国家的区域综合数据集、国家追踪器、仪表板和病例公告。我们记录了流行病学报告系统变化的时间表,并描述了不同国家和不同时间点的流行病学数据报告方式的差异。结果如下:我们的研究结果表明,东南亚国家在第一波大流行期间普遍报告了准确和详细的流行病学数据。人口数据的报告很少发生变化,而地理和时间数据的报告变化则很频繁。大多数国家每天使用HTML和PDF提供个人层面的COVID-19数据,在数据用于分析之前需要进行抓取和提取。结论:我们的研究强调了对各国内部和各国之间的COVID-19流行病学数据进行更细致分析的重要性,因为报告经常发生变化。随着政府继续应对对健康和经济的影响,数据共享也需要优先考虑,因为它在决策以及干预措施的实施和评估中发挥着基础性作用。
Background: When a new pathogen emerges, consistent case reporting is critical for public health surveillance. Tracking cases geographically and over time is key for understanding the spread of an infectious disease and effectively designing interventions to contain and mitigate an epidemic. In this paper we describe the reporting systems on COVID-19 in Southeast Asia during the first wave in 2020, and highlight the impact of specific reporting methods. Methods: We reviewed key epidemiological variables from various sources including a regionally comprehensive dataset, national trackers, dashboards, and case bulletins for 11 countries during the first wave of the epidemic in Southeast Asia. We recorded timelines of shifts in epidemiological reporting systems and described the differences in how epidemiological data are reported across countries and timepoints. Results: Our findings suggest that countries in Southeast Asia generally reported precise and detailed epidemiological data during the first wave of the pandemic. Changes in reporting rarely occurred for demographic data, while reporting shifts for geographic and temporal data were frequent. Most countries provided COVID-19 individual-level data daily using HTML and PDF, necessitating scraping and extraction before data could be used in analyses. Conclusion: Our study highlights the importance of more nuanced analyses of COVID-19 epidemiological data within and across countries because of the frequent shifts in reporting. As governments continue to respond to impacts on health and the economy, data sharing also needs to be prioritised given its foundational role in policymaking, and in the implementation and evaluation of interventions.
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