Mapping inequity: spatial clustering of malaria in pregnancy in the Amhara region, Northwest Ethiopia (2018–2024)

Malaria in pregnancy remains a major public health challenge in Ethiopia, contributing to maternal morbidity and adverse birth outcomes. Understanding its spatial distribution and service-related determinants is essential for designing equitable and targeted interventions. This study examined the spatial clustering and determinants of malaria incidence among pregnant women in the Amhara region of Ethiopia from 2018 to 2024. A retrospective spatial analysis was conducted using routine malaria surveillance data on confirmed malaria cases among pregnant women from January 2018 to December 2024 in the Amhara region, Ethiopia. Spatial clusters were identified using SaTScan based on a discrete Poisson model. Malaria incidence (cases per population) was used as the outcome variable in regression analysis. A spatial error model (SEM) was applied to assess associations between malaria incidence and environmental and health service factors while accounting for spatial autocorrelation. Model adequacy was evaluated using diagnostic tests, including Moran’s I for residual spatial dependence. During the study period, 5.8 million pregnant women were under surveillance, with 53,478 confirmed malaria cases—an annual incidence of 9.2 per 1,000 populations. Seven significant high-risk spatial clusters were detected. Spatial regression analysis showed that malaria incidence was negatively associated with ANC4 utilization (IRR = 0.92; 95% CI: 0.91–0.94), soil moisture (IRR = 0.85; 95% CI: 0.80–0.90), API (IRR = 0.98; 95% CI: 0.97–0.99), and temperature (IRR = 0.65; 95% CI: 0.58–0.73), but positively associated with ANC1 utilization (IRR = 1.07; 95% CI: 1.06–1.08). Malaria in pregnancy in the Amhara region exhibits marked spatial heterogeneity influenced by environmental conditions and disparities in antenatal care utilization. Strengthening ANC services and implementing geographically targeted, climate-informed interventions are critical to reducing malaria burden among pregnant women.

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Publication Details

Journal
BMC Infectious Diseases
Published
2026-04-27
DOI
https://doi.org/10.1186/s12879-026-13407-2
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
0.00

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article

Mapping inequity: spatial clustering of malaria in pregnancy in the Amhara region, Northwest Ethiopia (2018–2024)

Kassawmar Angaw Bogale, Mulusew Andualem Asemahagn, Hailemariam Awoke Engedaw, Kindie Fentahun Muchie et al.
BMC Infectious Diseases
Malaria Research and Control
article

Mapping inequity: spatial clustering of malaria in pregnancy in the Amhara region, Northwest Ethiopia (2018–2024)

Kassawmar Angaw Bogale, Mulusew Andualem Asemahagn, Hailemariam Awoke Engedaw, Kindie Fentahun Muchie, Muluken Azage Yenesew, Kassahun Alemu
article en

Abstract

Malaria in pregnancy remains a major public health challenge in Ethiopia, contributing to maternal morbidity and adverse birth outcomes. Understanding its spatial distribution and service-related determinants is essential for designing equitable and targeted interventions. This study examined the spatial clustering and determinants of malaria incidence among pregnant women in the Amhara region of Ethiopia from 2018 to 2024. A retrospective spatial analysis was conducted using routine malaria surveillance data on confirmed malaria cases among pregnant women from January 2018 to December 2024 in the Amhara region, Ethiopia. Spatial clusters were identified using SaTScan based on a discrete Poisson model. Malaria incidence (cases per population) was used as the outcome variable in regression analysis. A spatial error model (SEM) was applied to assess associations between malaria incidence and environmental and health service factors while accounting for spatial autocorrelation. Model adequacy was evaluated using diagnostic tests, including Moran’s I for residual spatial dependence. During the study period, 5.8 million pregnant women were under surveillance, with 53,478 confirmed malaria cases—an annual incidence of 9.2 per 1,000 populations. Seven significant high-risk spatial clusters were detected. Spatial regression analysis showed that malaria incidence was negatively associated with ANC4 utilization (IRR = 0.92; 95% CI: 0.91–0.94), soil moisture (IRR = 0.85; 95% CI: 0.80–0.90), API (IRR = 0.98; 95% CI: 0.97–0.99), and temperature (IRR = 0.65; 95% CI: 0.58–0.73), but positively associated with ANC1 utilization (IRR = 1.07; 95% CI: 1.06–1.08). Malaria in pregnancy in the Amhara region exhibits marked spatial heterogeneity influenced by environmental conditions and disparities in antenatal care utilization. Strengthening ANC services and implementing geographically targeted, climate-informed interventions are critical to reducing malaria burden among pregnant women.

BMC Infectious Diseases
Heidelberg University (DE), University Hospital Heidelberg (DE), Bahir Dar University (ET), University of Gondar (ET)
Bahir Dar University
Openalex Percentile: Top 6%
Malaria Research and Control
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