ArticleEpidemiology and health2020
Demographic and epidemiological characteristics of scorpion envenomation and daily forecasting of scorpion sting counts in Touggourt, Algeria.
Article in Epidemiology and health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Scorpionism at the human-environment interface: an eco-epidemiological synthesis and conceptual framework.Frontiers in public health · 2026Pooled it
- Characterization ofToxins · 2025Article
- Designing the Minimum Data Set for National Scorpion Sting Registry in Iran.Iranian journal of medical sciences · 2025Article
- Proteasome-driven modulation of immune and oxidative pathways during scorpion envenomation pathogenesis.The journal of venomous animals and toxins including tropical diseases · 2025Article
- Clinical Features and Outcomes of Scorpion Sting in Western Lowlands of Eritrea: A Prospective Study.Research and reports in tropical medicine · 2025Article
- Clinical Management and Epidemiology of Scorpion Stings in Khuzestan Province, Iran: A Five-year Study : Five-year Study of Scorpion Stings in Khuzestan Province.Galen medical journal · 2025Article
- Managing scorpion envenomations: A Gabes emergency department case study of 60 patients.La Tunisie medicale · 2024Article
- 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.Journal of research in health sciences · 2023Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis 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.
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