INVESTIGATION ON PREDICTING FAMILY PLANNING AND WOMEN’S AND CHILDREN’S HEALTH EFFECTS ON BANGLADESH BY CONDUCTING AGE STRUCTURE POPULATION MODEL

Authors:

Rezaul Karim,M. A. Bkar Pk,Md. Asaduzzaman,Pinakee Dey,M. Ali Akbar,

DOI NO:

https://doi.org/10.26782/jmcms.2024.03.00005

Keywords:

Population Model,Sharpe-Lotka model,Gurtin MacCamy model,family planning,women’s and child’s health,

Abstract

Bangladesh has a higher population density than most other nations in the world. This project aims to evaluate the effects of experimental family planning and maternal and child health. Bangladesh saw changes in the use of contraceptives, the continuation of contraception, fertility, and infant and child mortality between 2012 and 2022. The project's current goal is to guarantee improved family health. To satisfy the changing needs and priorities of families and to provide better health for all, this paper has proposed several novel initiatives, such as enhanced health and family planning services, and enhancing maternal and child health. The goal of this project is to improve the health of women and children through family planning using an age-structured population model. It also covers the graphical presentation of the data using programs like Matlab, Mathematica, Excel, and others.

Refference:

I. Abassian et.al,(2020). Five different perspectives on mathematical modeling in mathematics education. Investigations in Mathematics Learning. Vol 12(1), 53–65. https://doi.org/10.1080/19477503.2019.1595360.

II. Abayasekara, A. W. A. D. G. (2019). Forecasting the Sri Lankan Population with the Gompertz and Verhulst Logistic Growth Models. Sri Lanka Journal of Economic Research, 7(1), 1. https://doi.org/10.4038/sljer.v7i1.38.

III. Abeykoon, & A.T.P.L. (2011). The demographic transition: Opportunities and Challenges-The case of Sri Lanka. Institute for Health Policy .1–54.

IV. Ausloos, M. (2013). Gompertz and Verhulst frameworks for growth and decay description. Int. J. Comput. Anticip. Syst. 30 (2014) 15- 36.

V. Barham, T. “Effects of family planning and child health interventions on adolescent cognitive functioning (2008): Evidence from Matlab in Bangladesh.” working paper, University of Colorado, Boulder.

VI. BEDFORD, KATE.(2009) “WORKING WOMEN, CARING MEN, AND THE FAMILY BANK: Ideal Gender Relations after the Washington Consensus.” Developing Partnerships: Gender, Sexuality, and the Reformed World Bank, NED-New edition, University of Minnesota Press, pp. 1–34. JSTOR, http://www.jstor.org/stable/10.5749/j.ctttt2r0.5. Accessed 24

VII. Bangladesh Bureau of Statistics (BBS), ‘‘Statistical year book of Bangladesh 2022,’’ Bangladesh Bureau of Statistics, Dhaka 2022.

VIII. B.B.o.S.(2013a),“StatisticalyearbookofBangladesh,”BangladeshBureauof Statistics, Dhaks, 2012.

IX. Cleland et.al.(2012); Contraception and Health. Lancet. 380(9837):149-156
Doi:10.1016/S0140-6736(12)60609-6

X. D.E.C.D.&.S. J.Bloom, (2003) “Thedemographic dividend: Anewperspectiveonthe economic consequences of population change.” Rand: Santa Monica.
XI. El-doma, Mmohammed (2007). Age-structured Population Model with Cannibalism, Applications and Applied Mathematics: An International Journal (AAM),Vol.-2,Iss.-2. .https://digitalcommons.pvamu.edu/aam/vol2/iss2/3
XII. Fredrick et.al. The Royal Kingdoms of Ghana, Mali, and Songhay Life in Medieval Africa. Macmillan. p. 104. ISBN 978-0-8050-4259-7.

XIII. Fernando, & N. (1991). Demographic situation of Sri Lanka. Asian Population and Development Association 77-86.
XIV. Fred Brauer.(1983). Nonlinear age-dependent population growth under harvesting.Computers& Mathematics with Applications,Volume 9, Issue 3, Pages 345-352.
XV. F.R. Sharpe and A.J. Lotka.L.(1911). A problem in age-distribution.The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science. Vol 21, issue124, Page 435-438, https://doi.org/10.1080/14786440408637050
XVI. Glass, L., &Murray, J. D.(2003). Interdisciplinary Applied Mathematics: Mathematical Biology I. In Physical Review E -Statistical, Nonlinear, and Soft Matter Physics ( (Vol. 17, Issue 4).
XVII. ICDDR, B MCH-FP, “A Rapid Assessment Procedure to Assess Accessibility to and Utilization of Family Planning and Maternal and Child Health. extension Project (Rural) 1996. Services at the Local Level.” Dhaka: 1CDDR.B MCH-FP Extension Project (Rural), Intervention Update (Flyer), Vol. 2, No. 7 (published, May).

XVIII. ICDDR.B MCH-FP. “Maternal and Neonatal Health: Referral and Linkages from Community to Higher Levels.” Dhaka: ICDDR,B MCH-FP Extension Project (Rural), Intervention Update (Flyer), Vol. 2, No. 9 (published, May).

XIX. Islam et.al. (2004)“Fertility transition in Bangladesh: Understanding the role of the proximate determinants of fertility.,” Journal of Biosocial Science, vol. 36, p. 351–369.

XX. JNFPA, Dhaka, Bangladesh (2023). http://niport.gov.bd.

XXI. Karim.et.al. A Study about Forecasting Bangladesh by Using Verhulst Logistic Growth Model and Population Model. Annals of the Romanian Society for Cell Biology (2022) 26(01), 566–578. Retrieved from https://annalsofrscb.ro/index.php/journal/article/view/10845

XXII. Kamal et.al.(1994). “The determinants ofreproductive change in Bangladesh: Success in a challenging environment.”WorldBank, Washington DC.

XXIII. Karim.et.al.(2020). Investigate future population projection of Bangladesh with the help of Malthusian model, Sharpe-lotka model and Gurtin Mac-Camy model. International Journal of Statistics and Applied Mathematics 5(5). https://doi.org/10.22271/maths.2020.v5.i5b.585

XXIV. Lapham, R. J., & Mauldin, W. P. (1984).“Family planning effort and birthrate decline in developing countries,” International Family Planning Perspectives, vol. 10, no. 4, p. 109–118, 1984.

XXV. Liu et.al. Child Health Epidemiology Reference Group of WHO and UNICEF. Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000. Lancet. 2012 Jun 9; 379(9832):2151-61. doi: 10.1016/S0140-6736(12)60560-1. Epub 2012 May 11. Erratum in: Lancet. 2012 Oct 13; 380(9850):1308. PMID: 22579125

XXVI. Mitra et.al. “Bangladesh Demographic and Health Survey: 1993-1994.” NIPORT and Mitra and Associates, Dhaka and Macro International Inc., Calverton, MD, U.S.A.

XXVII. Murray, J.D. (2002). Mathematical Biology: An Introduction. Springer, New York,1-75. https://doi.org/10.1007/b98868
XXVIII. Ministry of Family Planning (2022). https://mohfw.portal.govt.bd

XXIX. Nelder, J. A. (1961). The Fitting of a Generalization of the Logistic Curve. Biometrics, 17(1), 89. https://doi.org/10.2307/2527498.

XXX. NIPORT (2011). Bangladesh Maternal Mortality and Health Care Survey 2010. Summary of Key Findings and Implications, Dhaka, Bangladesh: NIPORT. LINK: https://bit.ly/36fvObN] NIPORT, DHAKA, (2013), (2022). https://www.niport.govt.bd

XXXI. “National Child Abuse and Neglect Data System Glossary” (PDF). Administration for Children & Families. 2000. Archived from the original (PDF) on 20 October 2020. Retrieved 30 October 2019.

XXXII. United Nations Department of Economic and Social Affairs, Population Division (2022). World Family Planning 2022: Meeting the changing needs for family planning: Contraceptive use by age and method. UNDESA/POP/2022/TR/NO.4(https://www.un.org/development.)

XXXIII. United Nations Department of Economic and Social Affairs, Population Division (2020). World Family Planning 2020 Highlights: Accelerating action to ensure universal access to family planning (ST/ESA/SER.A/450).

XXXIV. UNDP/GOB (2009). The nexus between urban poverty and local environmental degradation of Bangladesh. The International Journal of Environmental, Cultural, Economic and Sustainability 5: 229-240. DOI:10.18848/1832-2077/CGP/v05i02/54583

XXXV. PRAYİTNO et.al.(2022), Identification of Graph Thinking in Solving Mathematical Problems Naturally. Participatory Educational Research ,9(2), 118–135. https://doi.org/10.17275/per.22.32.9.2.
XXXVI. Sastry, N. (2000).The importance of international demographic research for the United States. Population Research and Policy Review 19, 199–232. DOI: https://doi.org/10.1023/A:1026552503626
XXXVII. Shair et.al. (2017). Evaluating extensions to coherent mortality forecasting models. Risks, 5(1), 1–20. https://doi.org/10.3390/risks5010016.

XXXVIII. Terano, H.J.R.(2018). Analysis of mathematical models of population dynamics applied to Philippine population growth. Far East Journal of Mathematical Sciences (FJMS). Vol 103, No: 3, Pages 561-571. http://dx.doi.org/10.17654/MS103030561

XXXIX. Turner et.al. A Generalization of the Logistic Law of Growth. Biometrics, 25(3), 577. https://doi.org/10.2307/2528910.Application, 08(03), 53–61.

XL. Ullah, M., Mostafa, G. , Jahan, N. and Khan, M. (2019).Analyzing and Projection of Future Bangladesh Population Using Logistic Growth Model. International Journal of Modern Nonlinear Theory and Application, 8, 53-61. doi: 10.4236/ijmnta.2019.83004.

XLI. Verhulst, P.F.(1838).Notice sur la loi que la population suit dans son accroissement. Correspondence Mathematiqueet Physique (Ghent), 10, 113-121.

XLII. “What services do family planning clinics provide?” NHS. Archived from the original on 11 November 2014. Retrieved 8 March 2008.

XLIII. World meter(www.Worldometers.info) Elaboration of data by United Nations, Department of Economic and Social Affairs, Population Division.

View Download