Branda Francesco, Mahal Ahmed, Maruotti Antonello, Pierini Massimo, Mazzoli Sandra
Department of Computer Science, Modeling, Electronics and Systems Engineering (DIMES), University of Calabria, Rende, Italy.
Department of Medical Biochemical Analysis, College of Health Technology, Cihan University-Erbil, Erbil, Kurdistan, Iraq.
Front Pharmacol. 2023 Feb 10;14:1101894. doi: 10.3389/fphar.2023.1101894. eCollection 2023.
On 20 September 2022, the Ministry of Health in Uganda, together with the World Health Organization-Regional Office for Africa (WHO AFRO) confirmed an outbreak of EVD due to Sudan ebolavirus in Mubende District, after one fatal case was confirmed. Real-time information are needed to provide crucial information to understand transmissibility, risk of geographical spread, routes of transmission, risk factors of infection, and provide the basis for epidemiological modelling that can inform response and containment planning to reduce the burden of disease. We made an effort to build a centralized repository of the Ebola virus cases from verified sources, providing information on dates of symptom onset, locations (aggregated to the district level), and when available, the gender and status of hospitals, reporting bed capacity and isolation unit occupancy rate according to the severity status of the patient. The proposed data repository provides researchers and policymakers timely, complete, and easy-accessible data to monitor the most recent trends of the Ebola outbreak in Ugandan districts with informative graphical outputs. This favors a rapid global response to the disease, enabling governments to prioritize and adjust their decisions quickly and effectively in response to the rapidly evolving emergency, with a solid data basis.
2022年9月20日,乌干达卫生部与世界卫生组织非洲区域办事处(世卫组织非洲区域办事处)在确认一例死亡病例后,证实穆本德区爆发了由苏丹埃博拉病毒引起的埃博拉病毒病疫情。需要实时信息来提供关键信息,以了解传播性、地理传播风险、传播途径、感染风险因素,并为流行病学建模提供依据,从而为应对和控制规划提供参考,以减轻疾病负担。我们努力建立一个来自经核实来源的埃博拉病毒病例集中存储库,提供症状出现日期、地点(汇总到地区级别)等信息,并在可能的情况下提供医院的性别和状况、报告床位容量以及根据患者严重程度状况的隔离病房占用率。拟议的数据存储库为研究人员和政策制定者提供及时、完整且易于获取的数据,以通过信息丰富的图形输出监测乌干达各地区埃博拉疫情的最新趋势。这有利于全球对该疾病做出快速反应,使各国政府能够在坚实的数据基础上,迅速有效地确定优先事项并调整决策,以应对迅速演变的紧急情况。