Demographic and epidemiological characteristics of COVID-19 epidemic in Albania.

IF 1.4 4区 医学 Q4 INFECTIOUS DISEASES
Elona Gaxhja, Gjergji Koja, Brunilda Elezi, Elvin Rada, Shkelqim Hidri
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引用次数: 0

Abstract

Introduction: This study provides a general overview of the coronavirus disease 2019 (COVID-19) pandemic in Albania. The aim was to assess the spread of COVID-19 in the country by describing the demographic and epidemiological characteristics.

Methodology: We performed a 12-month national observational, epidemiological study. The data were extracted from the national digital system of Infectious Diseases Information and included all reported COVID-19 cases. Demographic data, number of tests, number of confirmed positive cases, and number of deaths were analyzed to build a general overview of the pandemic in Albania.

Results: The database comprised 251,139 tested individuals and 250,926 were reported as confirmed cases. The average age of the tested cases was 44.83 years; 19.8% of the studied individuals were 51-60 years old and this group had the highest proportion (51.7%) of females. The estimated prevalence of COVID-19 in Albania was 51.31% (110,397 cases). Tirana, the capital of Albania, had the highest percentage of COVID-19 positive cases (44.9%) with an incidence rate 3,879.02 individuals/100,000 inhabitants. The COVID-19 curve reached its peak in February 2021 with 54,046 cases. The mortality rate was 1.18/1000 inhabitants.

Conclusions: This demographic and epidemiological analysis provides a better understanding of the COVID-19 pandemic, and. the findings can contribute towards perception and re-investigation of the spread of COVID-19 in Albania, However, further studies covering longer periods and deeper analysis are needed for developing an epidemiological mathematical model, as a tool to develop and implement specific strategies for monitoring future pandemics.

阿尔巴尼亚新冠肺炎疫情的人口统计学和流行病学特征
简介:本研究提供了阿尔巴尼亚2019冠状病毒病(COVID-19)大流行的总体概况。目的是通过描述人口和流行病学特征来评估COVID-19在该国的传播情况。方法:我们进行了一项为期12个月的全国观察性流行病学研究。数据提取自国家传染病信息数字系统,包括所有报告的COVID-19病例。对人口数据、检测次数、确诊阳性病例数和死亡人数进行了分析,以便对阿尔巴尼亚的大流行病进行总体概述。结果:该数据库包括251,139名检测个体和250,926例报告为确诊病例。检测病例平均年龄44.83岁;51 ~ 60岁的个体占19.8%,其中以女性比例最高(51.7%)。阿尔巴尼亚COVID-19的估计患病率为51.31%(110,397例)。阿尔巴尼亚首都地拉那的新冠肺炎阳性病例比例最高(44.9%),发病率为3879.02人/10万居民。新冠肺炎曲线在2021年2月达到峰值,为54046例。死亡率为1.18/1000。结论:本次人口统计学和流行病学分析有助于更好地了解COVID-19大流行。这些发现有助于认识和重新调查COVID-19在阿尔巴尼亚的传播情况,但是,需要进行更长期的进一步研究和更深入的分析,以建立流行病学数学模型,作为制定和实施监测未来流行病的具体战略的工具。
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
CiteScore
3.70
自引率
5.30%
发文量
239
审稿时长
4-8 weeks
期刊介绍: The Journal of Infection in Developing Countries (JIDC) is an international journal, intended for the publication of scientific articles from Developing Countries by scientists from Developing Countries. JIDC is an independent, on-line publication with an international editorial board. JIDC is open access with no cost to view or download articles and reasonable cost for publication of research artcles, making JIDC easily availiable to scientists from resource restricted regions.
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