Rapidly scalable and low-cost public health surveillance reporting system for COVID-19.

IF 4.1 Q1 HEALTH CARE SCIENCES & SERVICES

BMJ Health & Care Informatics Pub Date : 2024-01-18 DOI:10.1136/bmjhci-2023-100759

Vivek Jason Jayaraj, Chiu-Wan Ng, Victor Chee-Wai Hoe, Diane Woei-Quan Chong, Sanjay Rampal

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引用次数: 0

Abstract

Objective: Data-driven innovations are essential in strengthening disease control. We developed a low-cost, open-source system for robust epidemiological intelligence in response to the COVID-19 crisis, prioritising scalability, reproducibility and dynamic reporting.

Methods: A five-tiered workflow of data acquisition; processing; databasing, sharing, version control; visualisation; and monitoring was used. COVID-19 data were initially collated from press releases and then transitioned to official sources.

Results: Key COVID-19 indicators were tabulated and visualised, deployed using open-source hosting in October 2022. The system demonstrated high performance, handling extensive data volumes, with a 92.5% user conversion rate, evidencing its value and adaptability.

Conclusion: This cost-effective, scalable solution aids health specialists and authorities in tracking disease burden, particularly in low-resource settings. Such innovations are critical in health crises like COVID-19 and adaptable to diverse health scenarios.

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针对 COVID-19 的可快速扩展的低成本公共卫生监测报告系统。

目标：数据驱动的创新对加强疾病控制至关重要。为应对 COVID-19 危机，我们开发了一个低成本、开源的流行病学情报系统，优先考虑可扩展性、可重复性和动态报告：方法：采用五层工作流程：数据采集、处理、数据库、共享、版本控制、可视化和监测。COVID-19 数据最初从新闻稿中收集，然后过渡到官方来源：COVID-19 的关键指标已制成表格并实现可视化，于 2022 年 10 月使用开源主机进行部署。该系统性能卓越，可处理大量数据，用户转换率达 92.5%，证明了其价值和适应性：这一成本效益高、可扩展的解决方案有助于卫生专家和当局跟踪疾病负担，尤其是在资源匮乏的环境中。这种创新在 COVID-19 等健康危机中至关重要，并可适应各种健康情景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BMJ Health & Care Informatics Multiple-

CiteScore

6.10

自引率

4.90%

发文量

审稿时长

18 weeks