Bayesian spatial modelling of malaria burden in two contrasted eco-epidemiological facies in Benin (West Africa): call for localized interventions

Damien, Barikissou Georgia; Sodé, Idelphonse Akoeugnigan; Bocossa, D.; Elanga-Ndille, Emmanuel; Aguemon, Badirou; Corbel, Vincent; Henry, Marie‐Claire; Kakaï, Romain Lucas Glèlè; Remoué, Franck

doi:10.1186/s12889-022-14032-9

Cited by 7 publications

(8 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, West Mamprusi had the highest RR in 2017 (RR: 4.43) and 2019 (RR: 3.08), but the lowest RR in 2020 (RR: 0.96). These findings support previous studies that examined spatial and temporal variations and found substantial spatial and temporal differences in malaria morbidity [ 5 , 7 , 9 – 12 ]. The finding that some districts are at the highest risk of malaria morbidity indicate serious threats to the progress in malaria control in Ghana, and interventions are urgently required to address this.…”

Section: Discussionsupporting

confidence: 92%

Modelling spatiotemporal variation in under-five malaria risk in Ghana in 2016–2021

Aheto,

Menezes,

Takramah

et al. 2024

Malar J

View full text Add to dashboard Cite

Background Ghana is among the top 10 highest malaria burden countries, with about 20,000 children dying annually, 25% of which were under five years. This study aimed to produce interactive web-based disease spatial maps and identify the high-burden malaria districts in Ghana. Methods The study used 2016–2021 data extracted from the routine health service nationally representative and comprehensive District Health Information Management System II (DHIMS2) implemented by the Ghana Health Service. Bayesian geospatial modelling and interactive web-based spatial disease mapping methods were employed to quantify spatial variations and clustering in malaria risk across 260 districts. For each district, the study simultaneously mapped the observed malaria counts, district name, standardized incidence rate, and predicted relative risk and their associated standard errors using interactive web-based visualization methods. Results A total of 32,659,240 malaria cases were reported among children < 5 years from 2016 to 2021. For every 10% increase in the number of children, malaria risk increased by 0.039 (log-mean 0.95, 95% credible interval = − 13.82–15.73) and for every 10% increase in the number of males, malaria risk decreased by 0.075, albeit not statistically significant (log-mean − 1.82, 95% credible interval = − 16.59–12.95). The study found substantial spatial and temporal differences in malaria risk across the 260 districts. The predicted national relative risk was 1.25 (95% credible interval = 1.23, 1.27). The malaria risk is relatively the same over the entire year. However, a slightly higher relative risk was recorded in 2019 while in 2021, residing in Keta, Abuakwa South, Jomoro, Ahafo Ano South East, Tain, Nanumba North, and Tatale Sanguli districts was associated with the highest malaria risk ranging from a relative risk of 3.00 to 4.83. The district-level spatial patterns of malaria risks changed over time. Conclusion This study identified high malaria risk districts in Ghana where urgent and targeted control efforts are required. Noticeable changes were also observed in malaria risk for certain districts over some periods in the study. The findings provide an effective, actionable tool to arm policymakers and programme managers in their efforts to reduce malaria risk and its associated morbidity and mortality in line with the Sustainable Development Goals (SDG) 3.2 for limited public health resource settings, where universal intervention across all districts is practically impossible.

show abstract

Section: Discussionsupporting

confidence: 92%

Modelling spatiotemporal variation in under-five malaria risk in Ghana in 2016–2021

Aheto,

Menezes,

Takramah

et al. 2024

Malar J

View full text Add to dashboard Cite

show abstract

“…The West Mamprusi, on the other hand, had the highest RR in 2017 (RR: 4.43) and 2019 (RR: 3.08), but the lowest RR in 2020 (RR: 0.96). These ndings support previous studies that examined spatial and temporal variations and found substantial spatial and temporal differences in malaria morbidity [5,7,[9][10][11][12]. The nding that some districts are at the highest risk of malaria morbidity signaled serious threats to the progress in malaria control in Ghana, and interventions are urgently required to address this.…”

Section: Discussionsupporting

confidence: 87%

“…Disease risk mapping is a powerful and robust technique for monitoring transmission and control efforts [4]. Likewise, malaria risk mapping is widely applied in spatial epidemiology using geostatistical methods such as Bayesian hierarchical spatial and spatiotemporal models [5][6][7][8]. Previous studies [9][10][11][12][13] in Ghana have applied Bayesian hierarchical spatial and spatiotemporal models to estimate the intensity of malaria transmission across regions of the country.…”

mentioning

confidence: 99%

Modelling spatiotemporal variation in under-five malaria risk in Ghana in 2016-2021

Aheto

Menezes

Takramah

2023

Preprint

View full text Add to dashboard Cite

Background Ghana is among the top 10 highest malaria burden countries, with about 20000 children dying annually, 25% of which were under five years. This study aimed to produce interactive web-based disease spatial maps and identify the high-burden malaria districts in Ghana. Methods The study used data in 2016–2021 from the routine health service nationally representative and comprehensive District Health Information Management System II (DHIMS2) implemented by the Ghana Health Service. Bayesian geospatial modeling and interactive web-based spatial disease mapping methods were employed to quantify spatial variations and clustering in malaria risk across 260 districts. For each district, the study simultaneously mapped the observed malaria counts, district name, standardized incidence rate, and predicted relative risk and their associated standard errors using interactive web-based visualization methods. Results A total of 32,659,240 malaria cases were reported among children < 5 years from 2016 to 2021. Factors associated with malaria risk are the log number of children (log-mean − 0.99, 95% credible interval = -1.06 – -0.92) and the log number of males (log-mean 0.21, 95% credible interval = 0.18–0.23). The study found substantial spatial and temporal differences in malaria risk across the 260 districts. The predicted national relative risk was 1.23 (SE: 0.0084) with a range of 0.0012 to 4.8291. Using the 2021 data, residing in Keta, Abuakwa South, Jomoro, Ahafo Ano South East, Tain, Nanumba North, and Tatale Sanguli districts was associated with the highest malaria risk ranging from a relative risk of 3.00 to 4.83. The district-level spatial patterns of malaria risks changed over time. Conclusion This study identified high malaria risk districts in Ghana where urgent and targeted control efforts are required. It provides an effective, actionable tool to arm policymakers and program managers in their efforts to reduce malaria risk and its associated morbidity and mortality in line with the Sustainable Development Goals (SDG) 3.2 in a setting with limited public health resources, where universal intervention across all districts is practically impossible.

show abstract

“…In each commune two arrondissements were randomly selected: Tanguiéta (Tanguiéta, Taïacou) Matéri (Matéri centre, Tchanhoun-Cossi) Cobly (Cobly centre, Kountori). The climate is Sahelian and malaria prevalence during the dry season (November to April) is 50%, increasing to 78% during the rainy season (May to October) [ 26 ]. CHWs interface between health facilities and populations, delivering health promotion in the community.…”

Section: Methodsmentioning

confidence: 99%

Field testing of user-friendly perennial malaria chemoprevention packaging in Benin, Côte d’Ivoire and Mozambique

Faye,

Lugand,

Offianan

et al. 2024

Malar J

View full text Add to dashboard Cite

Background Perennial malaria chemoprevention (PMC) aims to protect children at risk from severe malaria by the administration of anti-malarial drugs to children of defined ages throughout the year. Sulfadoxine-pyrimethamine (SP) has been widely used for chemoprevention in Africa and a child-friendly dispersible tablet formulation has recently become available. Methods This qualitative non-interventional observational study was conducted in Benin, Côte d’Ivoire, and Mozambique between February and June 2022. Prototype blister packs, dispensing boxes and job aids designed to support dispersible SP deployment for PMC were evaluated using focus group discussions (FGD) and semi-structured in-depth individual interviews (IDI) with health authorities, health personnel, community health workers (CHWs) and caregivers. The aim was to evaluate knowledge and perceptions of malaria and chemoprevention, test understanding of the tools and identify gaps in understanding, satisfaction, user-friendliness and acceptability, and assess the potential role of CHWs in PMC implementation. Interviews were transcribed and imported to ATLAS.ti for encoding and categorization. Thematic content analysis used deductive and inductive coding with cross-referencing of findings between countries and participants to enrich data interpretation. Continuous comparison across the IDI and FGD permitted iterative, collaborative development of materials. Results Overall, 106 participants completed IDIs and 70 contributed to FGDs. Malaria was widely recognised as the most common disease affecting children, and PMC was viewed as a positive intervention to support child health. The role of CHWs was perceived differently by the target groups, with caregivers appreciating their trusted status in the community, whereas health authorities preferred clinic-based deployment of PMC by health professionals. Empirical testing of the prototype blister packs, dispensing boxes and job aids highlighted the context-specific expectations of respondents, such as familiar situations and equipment, and identified areas of confusion or low acceptance. A key finding was the need for a clear product identity reflecting malaria. Conclusion Simple modifications profoundly affected the perception of PMC and influenced acceptability. Iterative quantitative investigation resulted in PMC-specific materials suited to the local context and socio-cultural norms of the target population with the aim of increasing access to chemoprevention in children most at risk of severe malaria.

show abstract

Bayesian spatial modelling of malaria burden in two contrasted eco-epidemiological facies in Benin (West Africa): call for localized interventions

Cited by 7 publications

References 47 publications

Modelling spatiotemporal variation in under-five malaria risk in Ghana in 2016–2021

Modelling spatiotemporal variation in under-five malaria risk in Ghana in 2016–2021

Modelling spatiotemporal variation in under-five malaria risk in Ghana in 2016-2021

Field testing of user-friendly perennial malaria chemoprevention packaging in Benin, Côte d’Ivoire and Mozambique

Contact Info

Product

Resources

About