Corrigendum to “Sliding mode control with stochastic modeling and mobility interaction for managing epidemic spread in high-population regions” [Parasite Epidemiology and Control, Volume 30 (2025), Article number e00439]

IF 2.4 Q3 INFECTIOUS DISEASES

Parasite Epidemiology and Control Pub Date : 2025-08-01 DOI:10.1016/j.parepi.2025.e00451

Dewi Suhika, Roberd Saragih, Dewi Handayani, Mochamad Apri

引用次数: 0

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“基于随机建模和流动性相互作用的滑模控制在人口密集地区控制流行病传播”的勘误表[寄生虫流行病学与控制，第30卷（2025），文章号e00439]

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

Parasite Epidemiology and Control Medicine-Infectious Diseases

CiteScore

5.70

自引率

3.10%

发文量

审稿时长

17 weeks

期刊介绍： Parasite Epidemiology and Control is an Open Access journal. There is an increasing amount of research in the parasitology area that analyses the patterns, causes, and effects of health and disease conditions in defined populations. This epidemiology of parasite infectious diseases is predominantly studied in human populations but also spans other major hosts of parasitic infections and as such this journal will have a broad remit. We will focus on the major areas of epidemiological study including disease etiology, disease surveillance, drug resistance and geographical spread and screening, biomonitoring, and comparisons of treatment effects in clinical trials for both human and other animals. We will also look at the epidemiology and control of vector insects. The journal will also cover the use of geographic information systems (Epi-GIS) for epidemiological surveillance which is a rapidly growing area of research in infectious diseases. Molecular epidemiological approaches are also particularly encouraged.