Modelling count data with an excess of zero values applied to childhood bone tumour incidence in Iraq

  • Muzahem Mohammed Al-Hashimi | muzahim_alhashime@uomosul.edu.iq Department of Statistics and Informatics, College of Computer Science and Mathematics, University of Mosul, Iraq.
  • Hasmek Antranik Warttan Department of Business Management Techniques, Administrative Technical College, Northern Technical University, Mosul, Iraq.

Abstract

Bone tumours are rarely found in children and adolescents (0- 19 years old), but there are reports from some provinces in Iraq indicating possible increases in the incidence of childhood bone cancer. Since counts are very low and often zero, or near zero, we fitted zero-inflated Poisson, zero-inflated negative binomial, Poisson hurdle, and negative binomial hurdle regression models to investigate these changes. We used data covering the 2000-2015 period taking age, gender and province into account with the aim of identifying potential health disparities. The results indicate that the zero-inflated Poisson is the most appropriate approach. We also found that, the incidence rate ratio of bone tumours for age groups of 5-9, 10-14 and 15-19 years were 134%, 490% and 723% higher, respectively, compared to the 0-4 year olds. The incidence rate was higher by 49% higher in males compared to females. Compared to 2000-2004, the rate was higher during 2005-2009 and 2010-2015 by 23% and 50%, respectively. In addition, the provinces Al-Muthana and Al-Diwaniyah in the South were found to have a higher incidence rate than other provinces. Join point analysis showed that the age-adjusted incidence rate had a significant, increasing trend, with an average percentage change of 3.1% during 2000-2015. The study suggests that further research into childhood tumours, bone tumours in particular, is needed. Reference to the effect of environmental factors in this group of medical disorders would be of special interest.

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Published
2021-03-12
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Original Articles
Keywords:
Count data, zero-inflated models, hurdle models, bone tumours, childhood and adolescent medical disorders, Iraq.
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How to Cite
Al-Hashimi, M. M., & Warttan, H. A. (2021). Modelling count data with an excess of zero values applied to childhood bone tumour incidence in Iraq. Geospatial Health, 16(1). https://doi.org/10.4081/gh.2021.873