A new species and a new record of Zoicinae Lehtinen & Hippa, 1979 (Araneae: Lycosidae) from Sumatra Island, with notes on miniaturization in wolf spiders

  A new species and a new record of Zoicinae Lehtinen & Hippa, 1979 (Araneae: Lycosidae) from Sumatra Island, with notes on miniaturization in wolf spiders Abstract A new species of wolf spider, Zoica veloxilla sp. nov., from Sumatra (Indonesia) is described based on both sexes. Lysania pygmaea Thorell, 1890 is recorded from Sumatra for the first time, and its male is illustrated and redescribed. A distribution map for Zoica and Lysania is provided. The problem of miniaturization in wolf spiders is briefly discussed. Based on an analysis of the literature, 32 minute species of wolf spiders in four subfamilies and eleven genera have been reported. The smallest wolf spider known worldwide seems to be Zoica minuta (McKay, 1979) from Australia. Omelko, M.M. & Fomichev, A.A. (2026) A new species and a new record of Zoicinae Lehtinen & Hippa, 1979 (Araneae: Lycosidae) from Sumatra Island, with notes on miniaturization in wolf spiders. Zootaxa, 5869 (2), 339–350. https://doi.o...

Modeling the time series of Scorpion sting in Southwestern Iran

 

Modeling the time series of Scorpion sting in Southwestern Iran

Abstract

Scorpion stings pose a significant public health concern in Iran, resulting in approximately 45,000-50,000 cases and 19 deaths annually. Scorpions, belonging to the Arachnida class, are venomous arthropods found in all continents except Antarctica. They are of particular concern in tropical and subtropical regions. The Khuzestan and Hormozgan provinces have the highest reported incidence, with an estimated 36,000 cases each year. This study focused on modeling the time series data of scorpion stings specifically in Shoushtar city from 2017 to 2022. Our objective was to investigate the presence of seasonality and long-term trends in the incidence of scorpion stings by utilizing advanced analytical techniques such as the Autoregressive Integrated Moving Average (ARIMA) model. We applied the Seasonal ARIMA model to fit a univariate time series of scorpion sting incidence. This study revealed a significant seasonal trend and an overall increase and decrease in scorpion sting cases during the study period. The best-fitting model for the available data was a seasonal ARIMA model in the form of ARIMA (0,0,1) (1,1,1)12. This model can forecast the frequency of scorpion sting cases in Southwestern Iran over the next two years. As a result, Time series analysis can provide valuable insights into the patterns and trends of Scorpion sting incidents, allowing for better planning and allocation of healthcare resources. By understanding the seasonal variations, proactive measures can be implemented to address the growing issue of Scorpion stings in Iran effectively.

Rostampor, F., Mousavi, S. A., Heidari, M., Faramarzi, A., Rashidi, H., Shojaei, S., Barati, B. (2024). 'Modeling the time series of Scorpion sting in Southwestern Iran', Archives of Razi Institute, 79(3), pp. 651-658. doi: 10.32592/ARI.2024.79.3.651