Trend and Descriptive Epidemiology of Lassa fever in Ebonyi State, 2018 - 2022

Author:

Ezenwa-Ahanene Adanna1,Salawu A T1,Adebowale Ayo S1

Affiliation:

1. Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan

Abstract

Abstract

Background Lassa fever’s emergence in Nigeria has been a public health concern over the years. Ebonyi state is located in the South-Eastern zone of Nigeria where a high burden of Lassa fever has been reported. Assessment of trend and risk factors for Lassa fever are yet to be fully explored in the state. We investigated the trend and descriptive epidemiology of Lassa Fever in Ebonyi state, South-East, Nigeria. Method This study was analysis of data extracted from Ebonyi State Integrated Disease Surveillance and Response (IDSR) system over a five-year period (2018-2022). A total of 1578 reported Lassa fever cases was captured in the IDSR out of which 300 were laboratory-confirmed. The trend and seasonality of Lassa fever were assessed using an additive time series model to ascertain the quarter of the year when the disease is expected to be at its peak. Lassa fever cases were predicted using the identified fitted model among the linear, quadratic, cubic and exponential models (α0.05). Results The mean age of the individuals with the reported cases of Lassa fever was 29.4 ± 17.8 years. Lassa fever showed a seasonal trend across the years. The quadratic model provided the best fit for predicting Lassa fever cumulative cases (R2 = 98.4%, P-value <0.05). Projected cases of Lassa fever for the year 2023 were 123 in the 1st quarter, 23 in the 2nd quarter, 42 in the 3rd quarter, and 17 in the 4th quarter. The seasonality index was +70.76, -28.42, -9.09, and -33.2 in the 1st, 2nd, 3rd, and 4th quarters respectively. The reported cases of Lassa fever followed a declining trend (slope= -0.1363). Farmers were 70% less likely to die from Lassa fever compared to those not working (aOR:0.3, CI: 0.17-0.83). Conclusion: Although the reported Lassa fever cases followed a declining trend in Ebonyi state, there was a seasonality in the trend over the study period. Adequate preparedness to mitigate the spread of the disease during the peak period of the disease is recommended.

Publisher

Springer Science and Business Media LLC

Reference29 articles.

1. Adebowale, A. S., Afolabi, R. F., Bello, S., Salawu, M. M., Bamgboye, E. A., Adeoye, I., Dairo, M. D., Kivumbi, B., Wanyana, I., Seck, I., Diallo, I., Leye, M. M. M., Bassoum, O., Fall, M., Ndejjo, R., Kabwama, S. N., Mapatano, M. A., Bosonkie, M., Egbende, L., … Fawole, O. I. (2023). Spread and seasonality of COVID ‑ 19 pandemic confirmed cases in sub ‑ Saharan Africa : experience from Democratic Republic. BMC Infectious Diseases, 1–12. https://doi.org/10.1186/s12879-023-08168-1

2. Ajayi, N. A., Nwigwe, C. G., Azuogu, B. N., Onyire, B. N., Nwonwu, E. U., Ogbonnaya, L. U., Onwe, F. I., Ekaete, T., Günther, S., & Ukwaja, K. N. (2013). Containing a Lassa fever epidemic in a resource-limited setting: Outbreak description and lessons learned from Abakaliki, Nigeria (January-March 2012). International Journal of Infectious Diseases, 17(11), e1011–e1016. https://doi.org/10.1016/j.ijid.2013.05.015

3. Akhmetzhanov, A. R., Asai, Y., & Nishiura, H. (2019). Quantifying the seasonal drivers of transmission for Lassa fever in Nigeria. Philosophical Transactions of the Royal Society B: Biological Sciences, 374(1775). https://doi.org/10.1098/rstb.2018.0268

4. Alphonsus, A. O. (2017). environmental risk factors in the transmission of lassa fever in college students hostels in ekpoma, a semi urban town in south-south nigeria. environmental risk factors in the transmission of lassa fever in college students hostels in ekpoma, a semi urban town in south-south nigeria. in original article annals Annals (Vol. 3, Issue 1). https://www.researchgate.net/publication/323627533

5. Article, F. L. (2011). Application of Linear, Quadratic and Cubic Regression Models to Predict Body Weight from Different Body Measurements in Domestic Cats. 419–422.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3