With the United Nations Sustainable Development Goals (SDG) (2015-2030) focused on the reduction in maternal mortality, monitoring and forecasting maternal mortality rates (MMRs) in regions like Africa is crucial for health strategy planning by policymakers, international organizations, and NGOs. We collected maternal mortality rates per 100,000 births from the World Bank database between 1990 and 2015. Joinpoint regression was applied to assess trends, and the autoregressive integrated moving average (ARIMA) model was used on 1990-2015 data to forecast the MMRs for the next 15 years. We also used the Holt method and the machine-learning Prophet Forecasting Model. The study found a decline in MMRs in Africa with an average annual percentage change (APC) of -2.6% (95% CI -2.7; -2.5). North Africa reported the lowest MMR, while East Africa experienced the sharpest decline. The region-specific ARIMA models predict that the maternal mortality rate (MMR) in 2030 will vary across regions, ranging from 161 deaths per 100,000 births in North Africa to 302 deaths per 100,000 births in Central Africa, averaging 182 per 100,000 births for the continent. Despite the observed decreasing trend in maternal mortality rate (MMR), the MMR in Africa remains relatively high. The results indicate that MMR in Africa will continue to decrease by 2030. However, no region of Africa will likely reach the SDG target.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528291PMC
http://dx.doi.org/10.3390/epidemiologia4030032DOI Listing

Publication Analysis

Top Keywords

maternal mortality
24
100000 births
16
africa
10
mortality rates
8
north africa
8
mortality rate
8
rate mmr
8
deaths 100000
8
mmr africa
8
africa will
8

Similar Publications

Importance: Improving access to high-quality maternity care and reducing maternal morbidity and mortality are major policy priorities in the US. Previous research has primarily focused on access to general obstetric care rather than access to high-risk pregnancy care provided by maternal-fetal medicine subspecialists (MFMs).

Objective: To measure access to MFM services and determine patient factors associated with MFM service use, including MFM telemedicine.

View Article and Find Full Text PDF

Pre-eclampsia remains a significant health challenge in sub-Saharan Africa, contributing substantially to maternal and neonatal mortality rates. This paper explores the potential of low-dose calcium supplementation as an alternative strategy to the conventional high-dose regimen in preventing pre-eclampsia. A consistent association between low serum calcium levels and an increased risk of pre-eclampsia is established based on studies spanning Ghana, Nigeria, and Ethiopia.

View Article and Find Full Text PDF

African-American women have a maternal mortality rate approximately three times higher than European-American women. This is partially due to hypertensive disorders of pregnancy, including preeclampsia. Fetal high-risk genotype increases preeclampsia risk, although mechanisms remain elusive.

View Article and Find Full Text PDF

Background Obesity is postulated to be a high-risk factor for thrombosis along with the inherent hypercoagulability of pregnancy. The Confidential Review of Maternal Deaths (CRMD) found that thrombosis was one of the major causes of maternal deaths in Kerala. This study investigates the major risk factor - obesity and its association with thrombosis in our study setting, along with other risk factors.

View Article and Find Full Text PDF

Postpartum hemorrhage (PPH) is the leading cause of maternal mortality worldwide, which is often attributed to retained placenta (RP) after delivery. There are no biomarkers currently used to predict a risk of developing RP/PPH prior to labor. The objective of this study was to determine relationships between placental biomarkers measured in the first and second trimesters and proxy measures of postpartum blood loss relative to preeclampsia status in the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b) dataset.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!