Meena Suneeta, Meena Jitendra Kumar, Kumar Dinesh, Mathur Purva
Department of Laboratory Medicine, All India Institute of Medical Sciences, Delhi, India.
Department of Preventive Oncology, National Cancer Institute, Jhajjar, Haryana, India.
J Lab Physicians. 2023 Apr 25;15(4):503-509. doi: 10.1055/s-0043-1768169. eCollection 2023 Dec.
Intestinal parasitic infections continue to loom in developing countries with low sanitation and socioeconomic conditions. Pandemic times are especially important to study the prevalence of these pathogens since the focus of all healthcare services was coronavirus disease 2019 (COVID-19). This study aimed to evaluate the prevalence and time-trend of intestinal parasitic infections in the capital region of India during the pandemic times. In this cross-sectional study, a retrospective review based on data from the past 2 years in the post-COVID-19 pandemic was used. Descriptive and time-trend analyses were applied to the data. Time series analysis was analyzed using the best fit autoregressive integrated moving average (ARIMA) model to look for seasonality in trends and forecasting. A total of 7267 patients' stool samples over a 2-year pandemic period were included in the study. Intestinal parasites were detected in 11.18% (813/7276) patients. (2.28%) and (3.78%) were the predominant ones. Time-trend analysis from 2020 to 2021 using ARIMA model predicted an increasing trend with waning of pandemic. The most prevalent infection was found in the monsoon and autumn months. Rates of infection with and have increased in comparison to other protozoan infections like when compared with prepandemic hospital-based studies. With fading of the pandemic, further increasing trends are predicted.
在卫生条件差和社会经济状况不佳的发展中国家,肠道寄生虫感染仍然是一个突出问题。在大流行时期,研究这些病原体的流行情况尤为重要,因为当时所有医疗服务的重点都是2019冠状病毒病(COVID-19)。本研究旨在评估印度首都地区在大流行时期肠道寄生虫感染的流行情况和时间趋势。
在这项横断面研究中,我们基于COVID-19大流行后过去两年的数据进行了回顾性分析。对数据进行了描述性分析和时间趋势分析。使用最佳拟合自回归积分移动平均(ARIMA)模型对时间序列进行分析,以寻找趋势中的季节性规律并进行预测。
在为期两年的大流行期间,共有7267例患者的粪便样本纳入本研究。11.18%(813/7276)的患者检测出肠道寄生虫。(2.28%)和(3.78%)是主要的寄生虫种类。使用ARIMA模型对2020年至2021年的时间趋势分析预测,随着大流行的减弱,感染率呈上升趋势。在季风季节和秋季发现感染最为普遍。
与大流行前基于医院的研究相比,与其他原生动物感染如相比,和的感染率有所上升。随着大流行的消退,预计感染率将进一步上升。