This paper is published in Volume-9, Issue-1, 2023
Area
Actuarial Science
Author
Angela Osei-Mainoo, Rowena Serwaah Dankwaah, Buckman Akuffo
Org/Univ
C. K. Tedam University of Technology and Applied Science Navrongo, Ghana, Ghana
Keywords
Antenatal, Force of Mortality, Prenatal, Obstetrics, Mortality.
Citations
IEEE
Angela Osei-Mainoo, Rowena Serwaah Dankwaah, Buckman Akuffo. Statistical analysis of obstetrical mortality, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Angela Osei-Mainoo, Rowena Serwaah Dankwaah, Buckman Akuffo (2023). Statistical analysis of obstetrical mortality. International Journal of Advance Research, Ideas and Innovations in Technology, 9(1) www.IJARIIT.com.
MLA
Angela Osei-Mainoo, Rowena Serwaah Dankwaah, Buckman Akuffo. "Statistical analysis of obstetrical mortality." International Journal of Advance Research, Ideas and Innovations in Technology 9.1 (2023). www.IJARIIT.com.
Angela Osei-Mainoo, Rowena Serwaah Dankwaah, Buckman Akuffo. Statistical analysis of obstetrical mortality, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Angela Osei-Mainoo, Rowena Serwaah Dankwaah, Buckman Akuffo (2023). Statistical analysis of obstetrical mortality. International Journal of Advance Research, Ideas and Innovations in Technology, 9(1) www.IJARIIT.com.
MLA
Angela Osei-Mainoo, Rowena Serwaah Dankwaah, Buckman Akuffo. "Statistical analysis of obstetrical mortality." International Journal of Advance Research, Ideas and Innovations in Technology 9.1 (2023). www.IJARIIT.com.
Abstract
Obstetrical mortality is a global public health concern that every nation prioritizes to completely eradicate or reduce to the barest minimum by improving maternal health. The research seeks to determine the trend of obstetric death in Ghana within a specified time frame and as well model the obstetric rates in Ghana using Weibull Distribution. The Weibull distribution is mostly used in reliability analysis and life data analysis because of its ability to adapt to different situations and flexible enough to model. From the trend analysis conducted using the S-curve which the data used fitted, the obstetric mortality rate is decreasing continuously with respect to increase in number of years but even at this rate, Ghana might still not meet the sustainable Development Goals target of 70 per 100,000 live births by 2030. The maximum and minimum values for the obstetric mortality for the entire period under consideration that is from 2000 to 2017 were 308 and 484 respectively. This implies that if measures are not put in place, there can be tendency of increase in obstetric death rates. Also, the maternal mortality rates for the entire period were positively skewed and leptokurtic in nature with average and coefficient of variation (CV) as 361 and 13.2 respectively. The value of the shape parameter of the Weibull slope indicates, mortality rates gradually increase to a peak, and then decreases over time.