A New Distribution for Modeling both Blood Cancer Data and Median Effective Dose (ED50) of Artemether-Lumefantrine against P. falciparum

  • Bright Chimezie Nwankwo Department of Statistics, Faculty of Physical Sciences, Nnamdi Azikiwe University, Awka, Nigeria
  • Joan Nmesoma Orjiakoh Department of Statistics, Faculty of Physical Sciences, Nnamdi Azikiwe University, Awka, Nigeria
  • Mmesoma P. Nwankwo Department of Statistics, Faculty of Physical Sciences, Nnamdi Azikiwe University, Awka, Nigeria
  • Ejiofor Innocent Mary Ifedibalu Chukwu Faculty of Pharmaceutical Sciences, Nnamdi Azikiwe University, Awka, Nigeria
  • Okechukwu J. Obulezi Department of Statistics, Faculty of Physical Sciences, Nnamdi Azikiwe University, Awka, Nigeria
Keywords: Gompertz-G family of distributions, Gompertz-Lindley distribution, goodness of fit, infection, malaria, model performance

Abstract

In this paper, a novel distribution was proposed for modeling data on Leukemia and median effective dose (ED50) of Artemether-Lumefantrine against Plasmodium falciparum. Plasmodium falciparum or P. falciparum is one of the protozoan species that causes malaria. In the treatment of malaria, especially in sub-Saharan Africa Artemether-Lumefantrine dominates the hospitals. The ED50 (median effective dose) is the dose of a medication that produces a specific effect in 50\% of the population that takes that dose. The new distribution has three parameters that make it both flexible and tractable. The distribution is called the Gompertz-Lindley distribution. The model's hazard function behavior was presented together with the properties of the proposed distribution. The parameters were estimated using the method of maximum likelihood. From the analysis, the Gompertz-Lindley distribution is better than the competing standard distribution in the instances of the two data sets deployed.

References

Abouammoh, A. M., Ahmad, R., & Khalique, A. (2000). On new renewal better than used classes of life distributions. Statistics & Probability Letters, 48(2), 189-194. https://doi.org/10.1016/s0167-7152(99)00204-7

Alizadeh, M., Cordeiro, G. M., Pinho, L. G. B., & Ghosh, I. (2017). The Gompertz-G family of distributions. Journal of Statistical Theory and Practice, 11, 179-207. https://doi.org/10.1080/15598608.2016.1267668

Alzaatreh, A., Lee, C., & Famoye, F. (2013). A new method for generating families of continuous distributions. Metron, 71(1), 63-79. https://doi.org/10.1007/s40300-013-0007-y

Anabike, I. C., Igbokwe, C. P., Onyekwere, C. K., & Obulezi, O. J. (2023). Inference on the parameters of Zubair-Exponential distribution with application to survival times of Guinea Pigs. Journal of Advances in Mathematics and Computer Science, 38(7), 12-35. https://doi.org/10.9734/jamcs/2023/v38i71769

Chennamadhavuni, A., Lyengar, V., Mukkamalla, S. K. R., & Shimanovsky, A. (2021). Continuing education activity. National Library of Medicine.

Dimmitt, S., Stampfer, H., & Martin, J. H. (2017). When less is more-efficacy with less toxicity at the ED50. British Journal of Clinical Pharmacology, 83(7), 1365. https://doi.org/10.1111/bcp.13281

Etaga, H. O., Celestine, E. C., Onyekwere, C. K., Omeje, I. L., Nwankwo, M. P., Oramulu, D. O., & Obulezi, O. J. (2023). A new modification of Shanker distribution with applications to increasing failure rate data. Earthline Journal of Mathematical Sciences, 13(2), 509-526. https://doi.org/10.34198/ejms.13223.509526

Frimpong, A., Kusi, K. A., Ofori, M. F., & Ndifon, W. (2018). Novel strategies for malaria vaccine design. Frontiers in Immunology, 9, 2769. https://doi.org/10.3389/fimmu.2018.02769

Garcia, L. S. (2010). Malaria. Clin Lab Med, 30(1), 93-129. https://doi.org/10.1016/j.cll.2009.10.001

Innocent, C. F., Frederick, O. A., Udofia, E. M., Obulezi, O. J., & Igbokwe, C. P. (2023). Estimation of the parameters of the power size-biased Chris-Jerry distribution. International Journal of Innovative Science and Research Technology, 8(5), 423-436.

Lindley, D. V. (1958). Fiducial distributions and Bayes' theorem. Journal of the Royal Statistical Society. Series B (Methodological), 102-107. https://doi.org/10.1111/j.2517-6161.1958.tb00278.x

Musa, A., Onyeagu, S. I., & Obulezi, O. J. (2023). Comparative study based on simulation of some methods of classical estimation of the parameters of exponentiated Lindley-Logarithmic distribution. Asian Journal of Probability and Statistics, 22(4), 14-30. https://doi.org/10.9734/ajpas/2023/v22i4489

Musa, A., Onyeagu, S. I., & Obulezi, O. J. (2023). Exponentiated Power Lindley-Logarithmic distribution and its applications. Asian Research Journal of Mathematics, 19(8), 47-60. https://doi.org/10.9734/arjom/2023/v19i8686

Obulezi, O., Igbokwe, C. P., & Anabike, I. C. (2023). Single acceptance sampling plan based on truncated life tests for Zubair-exponential distribution. Earthline Journal of Mathematical Sciences, 13(1), 165-181. https://doi.org/10.34198/ejms.13123.165181

Obulezi, O. J., Anabike, I. C., Okoye, G. C., Igbokwe, C. P., Etaga, H. O., & Onyekwere, C. K. (2023). The Kumaraswamy Chris-Jerry distribution and its applications. Journal of Xidian University, 17(6), 575-591.

Obulezi, O. J., Anabike, I. C., Oyo, O. G., Igbokwe, C., & Etaga, H. (2023). Marshall-Olkin Chris-Jerry distribution and its applications. International Journal of Innovative Science and Research Technology, 8(5), 522-533.

Obulezi, O. J., Chidimma, N. N., Igbokwe, C. P., & Anabike, I. C. (2023). Statistical analysis on diagnosed cases of malaria and typhoid fever in Enugu-Nigeria. GSJ, 11(6).

Omoruyi, F. A., Omeje, I. L., Anabike, I. C., & Obulezi, O. J. (2023). A new variant of Rama distribution with simulation study and application to blood cancer data. European Journal of Theoretical and Applied Sciences, 1(4), 389-409. https://doi.org/10.59324/ejtas.2023.1(4).36

Onuoha, H. C., Osuji, G. A., Etaga, H. O., & Obulezi, O. J. (2023). The Weibull distribution with estimable shift parameter. Earthline Journal of Mathematical Sciences, 13(1), 183-208. https://doi.org/10.34198/ejms.13123.183208

Onyekwere, C. K., & Obulezi, O. J. (2022). Chris-Jerry distribution and its applications. Asian Journal of Probability and Statistics, 20(1), 16-30. https://doi.org/10.9734/ajpas/2022/v20i130480

Onyekwere, C. K., Okoro, C. N., Obulezi, O. J., Udofia, E. M., & Anabike, I. C. (2022). Modification of Shanker distribution using quadratic rank transmutation map. Journal of Xidian University, 16(8), 179-198.

Oramulu, D. O., Igbokwe, C. P., Anabike, I. C., Etaga, H. O., & Obulezi, O. J. (2023). Simulation study of the Bayesian and non-Bayesian estimation of a new lifetime distribution parameters with increasing hazard rate. Asian Research Journal of Mathematics, 19(9), 183-211. https://doi.org/10.9734/arjom/2023/v19i9711

Snow, R. W. (2015). Global malaria eradication and the importance of Plasmodium falciparum epidemiology in Africa. BMC Medicine, 13(1), 1-3. https://doi.org/10.1186/s12916-014-0254-7

Tolba, A. H., Onyekwere, C. K., El-Saeed, A. R., Alsadat, N., Alohali, H., & Obulezi, O. J. (2023). A new distribution for modeling data with increasing hazard rate: a case of COVID-19 pandemic and vinyl chloride data. Sustainability, 15(17), 12782. https://doi.org/10.3390/su151712782

Zekar, L., & Sharman, T. (2020). Plasmodium falciparum malaria. National Library of Medicine.

Published
2023-10-13
How to Cite
Nwankwo, B. C., Orjiakoh, J. N., Nwankwo, M. P., Chukwu, E. I. M. I., & Obulezi, O. J. (2023). A New Distribution for Modeling both Blood Cancer Data and Median Effective Dose (ED50) of Artemether-Lumefantrine against P. falciparum. Earthline Journal of Mathematical Sciences, 14(1), 41-62. https://doi.org/10.34198/ejms.14124.041062
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Articles