Assisting small Caribbean islands in health sector planning post pandemic: A brief discussion

Sandeep Bhupendra Maharaj, Gerald Hadeed, Darleen Y Franco, Terence A. R. Seemungal, Amrica Ramdass
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Abstract

The Caribbean Region has been one the hardest hit by the COVID-19 pandemic due to vaccine inequity, human resource constraints, and pre-existing infrastructural constraints, which led to countries taking viral mitigation and prevention measures for instance border lockdown and states of emergency. While at that phase, treating COVID-19 patients has been the number one priority, several other health services have been neglected, threatening public health. During that period there was significant disruption of healthcare delivery to patients with Chronic non-communicable Diseases in the region which deteriorated capacity issues in the health system, for example Human Resource Deficiencies, Financing of the Health Sector, Governance, and a lack of Health Information Systems. This paper provides an overview of how pandemic insurance claims and big data analytics tools can assist in gaining insights into the current state of the population’s health. Big data and analytical approaches provide a variety of solutions, including the detection of current COVID-19 cases and the forecasting of future outbreaks which can aid in obtaining some insight into the present state of the health of the population.
协助加勒比小岛屿进行大流行病后卫生部门规划:简要讨论
由于疫苗不公平、人力资源限制和现有基础设施限制,加勒比地区一直是受COVID-19大流行影响最严重的地区之一,导致各国采取边境封锁和紧急状态等缓解和预防病毒措施。在这一阶段,治疗COVID-19患者一直是首要任务,但其他几项卫生服务却被忽视,威胁着公共卫生。在此期间,该地区对慢性非传染性疾病患者的医疗保健服务严重中断,使卫生系统的能力问题恶化,例如人力资源不足、卫生部门融资、治理和缺乏卫生信息系统。本文概述了大流行保险索赔和大数据分析工具如何帮助了解当前人口的健康状况。大数据和分析方法提供了各种解决方案,包括检测当前的COVID-19病例和预测未来的疫情,这有助于对人口的当前健康状况有所了解。
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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