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J Res Health Sci. 2023;23(3): e00586. doi: 10.34172/jrhs.2023.121
PMID: 38315901        PMCID: PMC10660509

Original Article

A Hybrid Approach Based on Seasonal Autoregressive Integrated Moving Average and Neural Network Autoregressive Models to Predict Scorpion Sting Incidence in El Oued Province, Algeria, From 2005 to 2020

Safia Zenia 1 ORCID, Mohamed L’Hadj 2, Schehrazad Selmane 3 * ORCID

Cited by CrossRef: 1

1- Zhang R, Mi H, He T, Ren S, Zhang R, Xu L, Wang M, Su C. Trends and multi-model prediction of hepatitis B incidence in Xiamen. Infectious Disease Modelling. 2024;9(4):1276 [Crossref]
2- Saadi H, Mouane A, Ramdani N, Chikha M, Belkacemi H, Ali M, Amine F, Gueddoul M, Sadine S. Unveiling scorpionism in Northern Algerian Sahara (El Oued Province): Epidemiological trends and faunistic diversity. Toxicon. 2025;267:108597 [Crossref]
3- Santello S, Giuffrida R, Rossi R. ANÁLISE TEMPORAL E PREDIÇÃO DOS ACIDENTES ESCORPIÔNICOS DAS MACRORREGIÕES DO ESTADO DE SÃO PAULO - BRASIL. RG. 2026;17(3):e1858 [Crossref]
4- Gao B, Huang S, Luo J, Liao W, Xin Y, Lv J, Hu L, Zhang P, Zhang W, Pu C. Prediction of pulmonary tuberculosis case trends among older adults in Chongqing based on time series models. Front Public Health. 2026;14 [Crossref]