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

Submitted: 26 February 2020
Accepted: 18 October 2020
Published: 12 March 2021
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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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Al-Aasadi KA, Alwaeli AA, Kazem HA, 2015. Assessment of air pollution caused by oil investments in Basra Province-Iraq. J Novel Appl Sci 4:82-6.
Al-Daghir HA, 2013. The environmental influences on the incidence of cancer in AL-Muthana governate April 2010. Almuthanna J Pure Sci (MJPS) 1:1.
Al-Hassen SI, Sultan AW, Ateek AA, Al-Saad HT, Mahdi S, Alhello AA, 2015. Spatial analysis on the concentrations of air pollutants in Basra province (southern Iraq). Open J Air Pollut 4:139. DOI: https://doi.org/10.4236/ojap.2015.43013
Al-Shammari AM, 2016. Environmental pollutions associated to conflicts in Iraq and related health problems. Rev Environ Health 31:245-50. DOI: https://doi.org/10.1515/reveh-2015-0024
Arora RS, Alston RD, Eden TO, Geraci M, Birch JM, 2012. The contrasting ageâ€incidence patterns of bone tumours in teenagers and young adults: Implications for aetiology. Int J Cancer 131:1678-85. DOI: https://doi.org/10.1002/ijc.27402
Cameron AC, Trivedi PK, 2013. Regression analysis of count data. Cambridge University Press, Cambridge, UK, pp 112.
Chipeta MG, Ngwira BM, Simoonga C, Kazembe LN, 2014. Zero adjusted models with applications to analysing helminths count data. BMC Res Notes 7:856. DOI: https://doi.org/10.1186/1756-0500-7-856
Damron TA, Ward WG, Stewart A, 2007. Osteosarcoma, chondrosarcoma, and Ewing’s sarcoma: national cancer data base report. Clin Orthop Relat Res 459:40-7. DOI: https://doi.org/10.1097/BLO.0b013e318059b8c9
Diallo AO, Diop A, Dupuy JF, 2019. Estimation in zero-inflated binomial regression with missing covariates. Statistics 53:839-65. DOI: https://doi.org/10.1080/02331888.2019.1619741
Douabul AA, Maarofi SS, Al-Saad HT, Al-Hassen S, 2013. Gaseous pollutants in Basra city, Iraq. Air Soil Water Res ASWR-S10835. DOI: https://doi.org/10.4137/ASWR.S10835
Du J, Park YT, Theera-Ampornpunt N, McCullough JS, Speedie SM, 2012. The use of count data models in biomedical informatics evaluation research. J Am Med Inform Assoc 19:39-44. DOI: https://doi.org/10.1136/amiajnl-2011-000256
Evola FR, Costarella L, Pavone V, Caff G, Cannavò L, Sessa A, Avondo S, Sessa G, 2017. Biomarkers of osteosarcoma, chondrosarcoma, and Ewing sarcoma. Front Pharmacol 8:150. DOI: https://doi.org/10.3389/fphar.2017.00150
Eyre R, Feltbower RG, Mubwandarikwa E, Eden TO, McNally RJ, 2009. Epidemiology of bone tumours in children and young adults. Pediatr Blood Cancer 53:941-52. DOI: https://doi.org/10.1002/pbc.22194
García-Pérez J, Morales-Piga A, Gómez-Barroso D, Tamayo-Uria I, Romaguera EP, López-Abente G, Ramis R, 2017. Risk of bone tumours in children and residential proximity to industrial and urban areas: New findings from a case-control study. Sci Total Environ 579:1333-42. DOI: https://doi.org/10.1016/j.scitotenv.2016.11.131
Ghert M, Mwita W, Mandari FN, 2019. Primary bone tumors in children and adolescents treated at a referral center in Northern Tanzania. J Am Acad Orthop Surg Glob Res Rev 3:3. DOI: https://doi.org/10.5435/JAAOSGlobal-D-17-00045
Grimer R, Athanasou N, Gerrand C, Judson I, Lewis I, Morland B, Peake D, Seddon B, Whelan J, 2010. UK guidelines for the management of bone sarcomas. Sarcoma 1:2010. DOI: https://doi.org/10.1155/2010/317462
Hussein KM, Fadhil SA, Salih SA, 2019. Assessing water quality for Al-Diwaniyah River, Iraq using GIS technique. Eng Technol J (ETJ) 37:256-64.
Ibp I, 2012. Iraq country study guide, Volume 1. Strategic information and developments. International Business Publications, Inc., Alexandria, VA, USA.
Iraqi Cancer Board, 2018. Annual Report: Iraqi Cancer Registry 2016. Ministry of Health and Environment, Republic of Iraq.
Kaatsch P, Strothotte J, Becker C, Bielack S, Dirksen U, Blettner M, 2016. Pediatric bone tumours in Germany from 1987 to 2011: incidence rates, time trends and survival. Acta Oncol 55:1145-51. DOI: https://doi.org/10.1080/0284186X.2016.1195509
Karam FF, 2015. The concentrations, distribution and sources of Benzo (a) pyrene in vegetables from Al-Diwaniya Province, Iraq. J Al-Qadisiyah Pure Sci Q 2:86-91.
Karam FF, Kadhim MI, 2014. Determination of Chrysene by Gas Chromatography in Selected Soils from Al-Diwaniya Province, Iraq, 2014. Asian J Chem 26:S259-61. DOI: https://doi.org/10.14233/ajchem.2014.19060
Katchy KC, Ziad F, Alexander S, Gad H, Mota’al MA, 2005. Malignant bone tumours in Kuwait. Int Orthop 29:406-11. DOI: https://doi.org/10.1007/s00264-005-0014-6
Klakattawi HS, Vinciotti V, Yu K, 2018. A simple and adaptive dispersion regression model for count data. Entropy 20:142. DOI: https://doi.org/10.3390/e20020142
Lambert D, 1992. Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics 34:1-4. DOI: https://doi.org/10.2307/1269547
Martin J, Hall DB, 2017. Marginal zero-inflated regression models for count data. J Appl Stat 44:1807-26. DOI: https://doi.org/10.1080/02664763.2016.1225018
Meyers PA, Gorlick R, 1997. Osteosarcoma. Pediatr Clin North Am 44:973-89. DOI: https://doi.org/10.1016/S0031-3955(05)70540-X
Mirabello L, Troisi RJ, Savage SA, 2009. Osteosarcoma incidence and survival rates from 1973 to 2004: data from the Surveillance, Epidemiology, and End Results Program. Cancer 115:1531-43. DOI: https://doi.org/10.1002/cncr.24121
Mohammed A, Sani MA, Hezekiah IA, Enoch AA, 2010. Primary bone tumours and tumour-like lesions in children in Zaria, Nigeria. Afr J Paediatr Surg 7:16. DOI: https://doi.org/10.4103/0189-6725.59353
Mouatassim Y, Ezzahid EH, 2012. Poisson regression and Zero-inflated Poisson regression: application to private health insurance data. Eur. Actuar. J. 2(2):187-204. DOI: https://doi.org/10.1007/s13385-012-0056-2
Mullahy J, 1986. Specification and testing of some modified count data models. J Econom 33:341-65. DOI: https://doi.org/10.1016/0304-4076(86)90002-3
Ottaviani G, Jaffe N, 2009. The etiology of osteosarcoma. In: Jaffe N, Bruland OS, Bielack S, eds. Pediatric and adolescent osteosarcoma. Springer, Boston, MA, USA, pp 15-32. DOI: https://doi.org/10.1007/978-1-4419-0284-9_2
Özkan EA, Göret CC, Özdemir ZT, Yanık S, Doğan M, Gönültaş A, Akkoca AN, 2015. Pattern of primary tumours and tumor-like lesions of bone in children: retrospective survey of biopsy results. Int J Clin Exp Patho 8:11543.
Pittman B, Buta E, Krishnan-Sarin S, O’Malley SS, Liss T, Gueorguieva R, 2018. Models for analyzing zero-inflated and overdispersed count data: an application to cigarette and marijuana use. Nicotine Tob Res 22:1390-8. DOI: https://doi.org/10.1093/ntr/nty072
PosthumaDeBoer J, Graat HC, Bras J, Saouti R, 2010. Small cell osteosarcoma of a toe phalanx: a case report and review of literature. J Orthop Surg Res 5:36. DOI: https://doi.org/10.1186/1749-799X-5-36
Pruksakorn D, Phanphaisarn A, Pongnikorn D, Daoprasert K, Teeyakasem P, Chaiyawat P, Katruang N, Settakorn J, 2016. Age Standardized incidence rates and survival of osteosarcoma in northern Thailand. Asian Pac J Cancer Prev 17:3455-8.
Ramdass MJ, Mooteeram J, Beharry A, Mencia M, Barrow S, 2015. An 8-YEAR analysis of bone tumours in a Caribbean island. Ann Med Surg 4:414-6. DOI: https://doi.org/10.1016/j.amsu.2015.10.009
Rhutso Y, Laishram RS, Sharma LD, Debnath K, 2013. Histopathological evaluation of bone tumours in a tertiary care hospital in Manipur, India. J. Med. Soc 27:135. DOI: https://doi.org/10.4103/0972-4958.121591
Rose CE, Martin SW, Wannemuehler KA, Plikaytis BD, 2006. On the use of zero-inflated and hurdle models for modeling vaccine adverse event count data. J Biopharm Stat 16:463-81. DOI: https://doi.org/10.1080/10543400600719384
Steliarova-Foucher E, Colombet M, Ries LA, Moreno F, Dolya A, Bray F, Hesseling P, Shin HY, Stiller CA, Bouzbid S, Hamdi-Cherif M, 2017. International incidence of childhood cancer, 2001-10: a population-based registry study. Lancet Oncol 18:719-31.
Stiller CA, Bielack SS, Jundt G, Steliarova-Foucher E. Bone tumours in European children and adolescents, 1978-1997, 2006. Report from the Automated Childhood Cancer Information System project. Eur J Cancer 42:2124-35. DOI: https://doi.org/10.1016/j.ejca.2006.05.015
Walli HA, 2015. Determination of PAHs in Surface Water of Al-Dalmaj Marsh, Al-Diwaniya Province, Iraq. J Enviro Earth Sci (JEES) 5:67-72.
Wilhelm M, Dirksen U, Bielack SS, Whelan JS, Lewis IJ, Jürgens H, Ferrari S, Sundby Hall K, Cleton-Jansen AM, Stark D, 2014. ENCCA WP17-WP7 consensus paper on teenagers and young adults (TYA) with bone sarcomas. Ann Oncol 25:1500-5. DOI: https://doi.org/10.1093/annonc/mdu153
Xie H, Tao J, McHugo GJ, Drake RE, 2013. Comparing statistical methods for analyzing skewed longitudinal count data with many zeros: An example of smoking cessation. J Subst Abuse Treat 45:99-108. DOI: https://doi.org/10.1016/j.jsat.2013.01.005
Yesilova A, Kaydan MB, Kaya Y, 2010. Modeling insect-egg data with excess zeros using zero-inflated regression models. Hacettepe J Math Stat 39:273-82.

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