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View article: Deep learning enables precision agriculture for sustainable chili pepper disease detection in Benin
Deep learning enables precision agriculture for sustainable chili pepper disease detection in Benin Open
Ensuring food security is a crucial priority for nations worldwide, but plant diseases significantly hinder this objective, through their impacts on agricultural productivity. Chili pepper (Capsicum spp.) is a major crop in West Africa inc…
View article: Mat making from Cyperus articulatus in mangrove areas: a value chain analysis and economic insights in Benin (West Africa)
Mat making from Cyperus articulatus in mangrove areas: a value chain analysis and economic insights in Benin (West Africa) Open
Coastal zones offer more than fishery and wood. They also harbour overlooked resources vital to economic and social development. This study highlights Cyperus articulatus, a plant species thriving in Benin’s mangrove areas and mainly used …
View article: Towards Precision Agriculture for Sustainable Chili Pepper Production: A Deep Learning Approach to Crop Disease Detection in Benin
Towards Precision Agriculture for Sustainable Chili Pepper Production: A Deep Learning Approach to Crop Disease Detection in Benin Open
Ensuring food security is a crucial priority for nations worldwide, but plant diseases significantly hinder this objective through their impacts on agricultural productivity. Chili pepper (Capsicum spp.) is a major crop in West Africa, inc…
View article: Modelling the impact of vaccination on cholera transmission dynamics under stratified populations and seasonality
Modelling the impact of vaccination on cholera transmission dynamics under stratified populations and seasonality Open
Different types of oral cholera vaccines (OCVs) are currently available in the global market to combat cholera epidemic. In most of developing countries, there is comparatively limited deployment of vaccination programs. In this study, we …
View article: On the use of Structural Equation Modeling in Infectious Disease Epidemiology: a systematic and critical review
On the use of Structural Equation Modeling in Infectious Disease Epidemiology: a systematic and critical review Open
Structural Equation Modeling (SEM) is a multivariate statistical technique increasingly used in epidemiology to analyze complex causal relationships. This paper focuses on the practical use of the SEM technique and analyze applications in …
View article: Variation in the potential impacts of climate change on the baobab in Sub-Saharan Africa: A continental analysis across major climate zones
Variation in the potential impacts of climate change on the baobab in Sub-Saharan Africa: A continental analysis across major climate zones Open
Baobab, Adansonia digitata L. is a widespread multipurpose savannah tree in Africa. Although previous studies highlighted the potential impacts of climate on the species, we still lack sufficient understanding of how regional variation in …
View article: Hydrological repair and invasive grass removal restore <i>Rhizophora racemosa</i> mangrove communities in West Africa
Hydrological repair and invasive grass removal restore <i>Rhizophora racemosa</i> mangrove communities in West Africa Open
Mangrove ecosystems face significant threats from climate change and human activities. In West Benin, the invasive grass Paspalum vaginatum disrupts sedimentation and hydrology, creating anoxic conditions and nutrient imbalances. To addres…
View article: A Stochastic Continuous-Time Markov Chain Approach for Modeling the Dynamics of Cholera Transmission: Exploring the Probability of Disease Persistence or Extinction
A Stochastic Continuous-Time Markov Chain Approach for Modeling the Dynamics of Cholera Transmission: Exploring the Probability of Disease Persistence or Extinction Open
In this paper, a stochastic continuous-time Markov chain (CTMC) model is developed and analyzed to explore the dynamics of cholera. The multitype branching process is used to compute a stochastic threshold for the CTMC model. Latin hypercu…
View article: Effects of weather scenarios and fertilizer on maize growth and yield: Insights from a greenhouse experiment
Effects of weather scenarios and fertilizer on maize growth and yield: Insights from a greenhouse experiment Open
Maize is a major crop for food security, but its cultivation is threatened by climate change. Climate may affect the response of maize to fertilizer. This study examined the impact of weather parameters in combination with fertilizer types…
View article: Climate change may shift diet of the African savanna elephant: Preliminary results for 14 food tree and shrub species in the WAPOK transboundary ecosystem, West-Africa
Climate change may shift diet of the African savanna elephant: Preliminary results for 14 food tree and shrub species in the WAPOK transboundary ecosystem, West-Africa Open
Climate change through an increase in temperature and a reduction of rainfall constitutes a serious threat to the African savannah elephants Loxodonta africana Cuvier. Climate change can directly shrink suitable habitats of the main food r…
View article: Bayesian inference and impact of parameter prior specification in flexible multilevel nonlinear models in the context of infectious disease modeling
Bayesian inference and impact of parameter prior specification in flexible multilevel nonlinear models in the context of infectious disease modeling Open
Bayesian flexible multilevel nonlinear models (FMNLMs) are powerful tools to analyze infectious disease data with asymmetric and unbalanced structures, such as varying epidemic stages across countries. However, the robustness of these mode…
View article: Bayesian Modeling of Geostatistical Survival Data With Misaligned Covariates: A Simulation‐Based Study of Malaria Risk in Gabon
Bayesian Modeling of Geostatistical Survival Data With Misaligned Covariates: A Simulation‐Based Study of Malaria Risk in Gabon Open
Malaria remains a leading cause of morbidity and mortality in sub‐Saharan Africa, with spatial heterogeneity in transmission posing significant challenges to effective disease control. Accurate estimation of survival risk in relation to lo…
View article: Relative Performance of Model Selection Criteria for Cox Proportional Hazards Regression Based on Kullback’s Symmetric Divergence
Relative Performance of Model Selection Criteria for Cox Proportional Hazards Regression Based on Kullback’s Symmetric Divergence Open
The Cox proportional hazards model is one of the most used models to analyze time‐to‐event outcomes. The decision on the most suitable model for those data is an essential analysis point. For this purpose, different model selection criteri…
View article: An Experimental Analysis of Traditional Machine Learning Algorithms for Maize Yield Prediction
An Experimental Analysis of Traditional Machine Learning Algorithms for Maize Yield Prediction Open
Maize plays a significant role in the African diet and is one of the main staple foods in many parts of the continent. Accurate yield estimations ensure an adequate food supply, contributing to food security and reducing the risk of food s…
View article: Modeling Mpox Transmission and Burden Across VariousVaccination Levels in the DRC Using an Age-Structured Model
Modeling Mpox Transmission and Burden Across VariousVaccination Levels in the DRC Using an Age-Structured Model Open
Mpox is an infectious viral disease endemic to Central African countries. It has seen a resurgence in this region, particularly in the Democratic Republic of Congo (DRC), disproportionately affecting children under 15 years. In this study,…
View article: Modeling Mpox Transmission and Burden Across VariousVaccination Levels in the DRC Using an Age-Structured Model
Modeling Mpox Transmission and Burden Across VariousVaccination Levels in the DRC Using an Age-Structured Model Open
Mpox is an infectious viral disease endemic to Central African countries. It has seen a resurgence in this region, particularly in the Democratic Republic of Congo (DRC), disproportionately affecting children under 15 years. In this study,…
View article: IMPACT OF BOX-COX TRANSFORMATION TECHNIQUE ON THE BAYESIAN MAXIMUM ENTROPY (BME) PREDICTION ACCURACY
IMPACT OF BOX-COX TRANSFORMATION TECHNIQUE ON THE BAYESIAN MAXIMUM ENTROPY (BME) PREDICTION ACCURACY Open
This study investigated whether increasing the normality of an attribute using Box-Cox transformation improves Bayesian Maximum Entropy (BME) prediction accuracy. Furthermore, we examined if BME accuracy is affected by sample size or spati…
View article: Tree populations show low regeneration of valued species in West Africa
Tree populations show low regeneration of valued species in West Africa Open
Tree populations have declined substantially in West Africa in recent decades, raising concerns since trees provide numerous ecosystem goods and services. Regional information on the population status of tree species could guide more effec…
View article: Potential impacts of future climate on twelve key multipurpose tree species in Benin: Insights from species distribution modeling for biodiversity conservation
Potential impacts of future climate on twelve key multipurpose tree species in Benin: Insights from species distribution modeling for biodiversity conservation Open
The global decline of biodiversity threatens ecosystem stability and human well-being. This study modeled the future suitable habitats of twelve key multipurpose tree species (MPTS) in Benin under two climate scenarios, Shared Socioeconomi…
View article: Effect of Dataset Partition and Normalization Methods in the Hyperparameters Optimization Phase on the Efficiency of The Levenberg-Marquardt Algorithm
Effect of Dataset Partition and Normalization Methods in the Hyperparameters Optimization Phase on the Efficiency of The Levenberg-Marquardt Algorithm Open
Multilayer perceptron neural networks are a family of continuous functions and offer a great flexibility for modeling empirical data. The lack of attention to the choice of optimal parame- ters(partition, sample size, number of units in th…
View article: Global Data Compilation Across Climate Gradients Supports the Use of Common Allometric Equations for Three Transatlantic Mangrove Species
Global Data Compilation Across Climate Gradients Supports the Use of Common Allometric Equations for Three Transatlantic Mangrove Species Open
Predicting the distribution, structure, and biomass of mangrove forests is an area of high research interest. Across the Atlantic East Pacific biogeographic region, three species are common and abundant members of local mangrove communitie…
View article: Cross-Country Assessment of Socio-Ecological Drivers of COVID-19 Dynamics in Africa: A Spatial Modelling Approach
Cross-Country Assessment of Socio-Ecological Drivers of COVID-19 Dynamics in Africa: A Spatial Modelling Approach Open
Understanding how countries’ socio-economic, environmental, health status, and climate factors have influenced the dynamics of COVID-19 is essential for public health, particularly in Africa. This study explored the relationships between A…