KSE
Search
- Page Path
- HOME > Search
Original Articles
- Demographic and epidemiological characteristics of scorpion envenomation and daily forecasting of scorpion sting counts in Touggourt, Algeria
- Kaouthar Boubekeur, Mohamed L’Hadj, Schehrazad Selmane
- Epidemiol Health. 2020;42:e2020050. Published online July 6, 2020
- DOI: https://doi.org/10.4178/epih.e2020050
- 24,374 View
- 208 Download
- 10 Web of Science
- 4 Crossref
-
Abstract
PDF
Supplementary Material -
AbstractOBJECTIVES
This study was conducted to provide better insights into the demographic and epidemiological characteristics of scorpion envenomation in an endemic area in Algeria and to identify the model that best predicted daily scorpion sting counts.METHODSDaily sting data from January 1, 2013 to August 31, 2016 were extracted from questionnaires designed to elicit information on scorpion stings from the two emergency medical service providers in Touggourt, Algeria. Count regression models were applied to the daily sting data.RESULTSA total of 4,712 scorpion sting cases were documented, of which 70% occurred in people aged between 10 years and 49 years. The male-to-female ratio was 1.3. The upper and lower limbs were the most common locations of scorpion stings (90.4% of cases). Most stings (92.8%) were mild. The percent of people stung inside dwellings was 68.8%. The hourly distribution of stings showed a peak between 10:00 a.m. and 11:00 a.m. The daily number of stings ranged from 0 to 24. The occurrence of stings was highest on Sundays. The incidence of scorpion stings increased sharply in the summer. The mean annual incidence rate was 542 cases per 100,000 inhabitants. The fitted count regression models showed that a negative binomial hurdle model was appropriate for forecasting daily stings in terms of temperature and relative humidity, and the fitted data agreed considerably with the actual data.CONCLUSIONSThis study showed that daily scorpion sting data provided meaningful insights; and the negative binomial Hurdle model was preferable for predicting daily scorpion sting counts. -
Summary
Citations
Citations to this article as recorded by
- Scorpionism at the human–environment interface: an eco-epidemiological synthesis and conceptual framework
Ahmed Karmaoui, Denis Sereno
Frontiers in Public Health.2026;[Epub] CrossRef - Histological changes in the adrenal glands of rats one day after exposure to the venom of the scorpion Leiurus macroctenus
D. S. Kobzina-Didukh
Reports of Vinnytsia National Medical University.2025; 29(4): 566. CrossRef - Characterization of Hottentotta judaicus Scorpion Venom: Toxic Effects and Neurobehavioral Modulation in Insect Models
Rim Wehbe, Aline Karaki, Zeina Dassouki, Mohamad Rima, Adolfo Borges, Rabih Roufayel, Christian Legros, Ziad Fajloun, Zakaria Kambris
Toxins.2025; 17(11): 546. CrossRef - Scorpion Envenomations in Algeria
Schehrazad Selmane, Mohamed Lhadj
Journal of Preventive, Diagnostic and Treatment Strategies in Medicine.2022; 1(1): 45. CrossRef
- Forecasting and prediction of scorpion sting cases in Biskra province, Algeria, using a seasonal autoregressive integrated moving average model
- Schehrazad Selmane, Mohamed L’Hadj
- Epidemiol Health. 2016;38:e2016044. Published online October 14, 2016
- DOI: https://doi.org/10.4178/epih.e2016044
- 27,707 View
- 289 Download
- 12 Crossref
-
Abstract
PDF
-
AbstractOBJECTIVES
The aims of this study were to highlight some epidemiological aspects of scorpion envenomations, to analyse and interpret the available data for Biskra province, Algeria, and to develop a forecasting model for scorpion sting cases in Biskra province, which records the highest number of scorpion stings in Algeria.METHODSIn addition to analysing the epidemiological profile of scorpion stings that occurred throughout the year 2013, we used the Box-Jenkins approach to fit a seasonal autoregressive integrated moving average (SARIMA) model to the monthly recorded scorpion sting cases in Biskra from 2000 to 2012.RESULTSThe epidemiological analysis revealed that scorpion stings were reported continuously throughout the year, with peaks in the summer months. The most affected age group was 15 to 49 years old, with a male predominance. The most prone human body areas were the upper and lower limbs. The majority of cases (95.9%) were classified as mild envenomations. The time series analysis showed that a (5,1,0)×(0,1,1)12 SARIMA model offered the best fit to the scorpion sting surveillance data. This model was used to predict scorpion sting cases for the year 2013, and the fitted data showed considerable agreement with the actual data.CONCLUSIONSSARIMA models are useful for monitoring scorpion sting cases, and provide an estimate of the variability to be expected in future scorpion sting cases. This knowledge is helpful in predicting whether an unusual situation is developing or not, and could therefore assist decision-makers in strengthening the province’s prevention and control measures and in initiating rapid response measures. -
Summary
Citations
Citations to this article as recorded by- ANÁLISE TEMPORAL E PREDIÇÃO DOS ACIDENTES ESCORPIÔNICOS DAS MACRORREGIÕES DO ESTADO DE SÃO PAULO - BRASIL
Samara Bertin Suguitani Santello, Rogerio Giuffrida, Renata Calciolari Rossi
Revista de Geopolítica.2026; 17(3): e1858. CrossRef - Stacked-ensemble forecasting of cutaneous leishmaniasis in M’Sila Algeria with epidemiology and seasonality over three decades
Schehrazad Selmane, Mohamed Tahar Kimour, Kamel Zorig, Huaiping Zhu
Acta Tropica.2026; 278: 108099. CrossRef - Prediction of pulmonary tuberculosis case trends among older adults in Chongqing based on time series models
Bojie Gao, Shanrong Huang, Jie Luo, Wenping Liao, Yu Xin, Juan Lv, Lin Hu, Ping Zhang, Wen Zhang, Chuan Pu
Frontiers in Public Health.2026;[Epub] CrossRef - AI models uncover factors influencing scorpionism in Northern Brazil
Thais de Andrade Moura, Andrés A. Ojanguren-Affilastro, Mahmood Sasa, José María Gutiérrez, Franciely Fernanda Silva, Tuany Siqueira-Silva, Pablo Ariel Martinez
Toxicon.2025; 258: 108342. CrossRef - Severity of scorpion envenomation in Saudi Arabia: A systematic review
Mohammed Alhelail, Areej Albelali, Raghad Alkanhal, Mahmoud Salam
Toxicology Reports.2024; 13: 101749. CrossRef - Epidemiological aspects of scorpion stings in Algeria: A monocentric retrospective study
Mohamed Amine Kerdoun
Toxicologie Analytique et Clinique.2022; 34(1): 4. CrossRef - Scorpion Envenomations in Algeria
Schehrazad Selmane, Mohamed Lhadj
Journal of Preventive, Diagnostic and Treatment Strategies in Medicine.2022; 1(1): 45. CrossRef - Terrestrial venomous animals, the envenomings they cause, and treatment perspectives in the Middle East and North Africa
Timothy P. Jenkins, Shirin Ahmadi, Matyas A. Bittenbinder, Trenton K. Stewart, Dilber E. Akgun, Melissa Hale, Nafiseh N. Nasrabadi, Darian S. Wolff, Freek J. Vonk, Jeroen Kool, Andreas H. Laustsen, Jean-Philippe Chippaux
PLOS Neglected Tropical Diseases.2021; 15(12): e0009880. CrossRef - Safety, Efficacy and Acceptability of SARS-CoV-2 Vaccines in Patients With Cancer
Roy Chebel, Chris Labaki, Maria Farhat, Joseph Kattan
Future Virology.2021; 16(7): 443. CrossRef - Spatiotemporal Analysis and Seasonality of Tuberculosis in Algeria
Schehrazad Selmane, Mohamed L'hadj
The International Journal of Mycobacteriology.2021; 10(3): 234. CrossRef - Time Series Analysis of Tuberculosis in Medea Province in Algeria
Mohamed L'HADJ, Schehrazad SELMANE
Journal of Engineering Technology and Applied Sciences.2019; 4(2): 85. CrossRef - Predictive determinants of scorpion stings in a tropical zone of south Iran: use of mixed seasonal autoregressive moving average model
Vahid Ebrahimi, Esmael Hamdami, Mohammad Djaefar Moemenbellah-Fard, Shahrokh Ezzatzadegan Jahromi
Journal of Venomous Animals and Toxins including Tropical Diseases.2017;[Epub] CrossRef
First
Prev
