Africa Region Research Articles

The determining factors of demand for life insurance: PLS method applied to the case of OECD and MENA countries

PurposeThis article provides a comparative analysis of the relationship between insurance and economic growth in the Organization for Economic Cooperation and Development (OECD) and Middle East and North Africa (MENA) regions. The research aims to understand how insurance impacts economic growth in these two regions, highlighting the similarities and differences between them.Design/methodology/approachThe study analyzes economic and insurance data from various countries in the OECD and MENA regions over a specific period. It employs the statistical method of Partial Least Squares (PLS) univariate regression to examine the relationships between the variables.FindingsThe study finds a positive correlation between insurance and economic growth in both regions, though the characteristics and mechanisms differ. In the OECD region, where insurance markets are more developed, insurance is strongly linked to economic growth. In contrast, the MENA region, with lower levels of insurance and a less developed industry, still shows a positive effect of insurance on economic growth. The article also identifies factors specific to the OECD and MENA regions that influence this relationship, such as insurance industry regulation, access to financial services, economic and political stability and cultural and institutional differences.Originality/valueThe originality of this research lies in its use of the PLS regression method, setting it apart from previous studies in the same field that have typically relied on other econometric techniques.

Ethnomedicinal and Phytopharmacological Aspects of Vernonia amygdalina (Bitter Leaf) Utilized as a Traditional Medicinal Herb

Vernonia amygdalina Delile, commonly known as “bitter leaf,” is a shrub in the Asteraceae family, widely seen in tropical regions of Africa. Vernonia amygdalina is found to be traditionally used in African medicine. Various parts of this plant, especially the leaves, are utilized to treat ailments such as fever, diabetes, and gastrointestinal issues. Research from multiple researchers has shown a wide range of phytochemical and bioactive compounds present in Vernonia amygdalina; examples are terpenoids, tannins, alkaloids, saponins, flavonoids, steroids, glycosides, etc., which have contributed to the medicinal properties of Vernonia amygdalina. Vernonia amygdalina has shown its therapeutic and remedial potentials due to the presence of phytochemicals which exhibit effects such as anti-microbial, anti-inflammatory, anti-cancer, anti-oxidant, anti-diabetic, anti-hyperglycemic, anti-diarrheal, anti-helminthic, anti-pyretic, and anti-nociceptive effects. In this article, the authors highlight recent progress in using Vernonia amygdalina and its therapeutic effects. Research, review, and case study articles were used to write this review. The articles were obtained from academic websites such as Research Gate, Google Scholar, the National Library of Medicine, African journals online, and Semantic journals, and some articles were obtained through a simple Google search. Articles that discussed the medicinal, ethanopharmacological, and therapeutic properties of Vernonia amygdalina were selected for the review. Search terms such as “Vernonia amygdalina,” “bitter leaf,” “phytochemical properties,” and “therapeutic effects” were used to search for relevant articles on the academic databases. Boolean operators such as “AND” and “OR” were used to refine the search further and ensure a comprehensive selection of articles.

The impact of foreign direct investment inflows on unemployment and economic growth in West Africa

Purpose: This study explores the short- and long-run effects of foreign direct investment inflows (FDI) on both the unemployment rate and economic growth in West Africa utilizing a panel dataset spanning from 1991 to 2022. The precise impact of FDI on these variables and the underlying factors shaping this relationship in West Africa has not been definitively delineated. Previous literature has not exclusively delved into the impact of FDI on the unemployment rate in this region. Consequently, our paper endeavors to address this particular gap in knowledge concentrating on the individual countries within West Africa. Design/Methodology/Approach: We employ Pooled Mean Group (PMG) estimators and fixed effects models for our analyses. Findings: Our findings based on the PMG models unveil that FDI exhibits an insignificant positive long-term effect and a highly significant negative short-term impact on economic growth in West Africa. Similarly, we observe that the impact of FDI on the unemployment rate is negative both in the long- and short-term. Conclusion: Our findings demonstrate that various factors contribute to how FDI influences the unemployment rate and economic growth rate in West Africa. Research Limitation: The results of these models analyses are subject to the considered economic variables. Other economic variables could give different results. Practical Implication: The research findings imply that FDI cannot be relied upon as a comprehensive strategy to either stimulate economic growth or alleviate unemployment in the Western Africa region.

Global, regional, and national impact of air pollution on stroke burden: changing landscape from 1990 to 2021

BackgroundExposure to air pollution contributes to cardiovascular disease-related deaths and morbidity, including stroke. However, few studies have examined the global stroke burden linked to air pollution. This study aimed to evaluate the global stroke morbidity and mortality associated with air pollution from 1990 to 2021.MethodWith the Global Burden of Disease Study (GBD) 2021, the numbers, and age-standardized rates (ASRs) of deaths and disability-adjusted life years (DALYs) for air pollution-related stroke were reported globally. Further subgroup analyses were conducted by age, sex, region and country, and stroke subtypes. A linear regression model explored global temporal trends and a cluster analysis examined temporal trends across GBD regions. To predict trends until 2040, the age-period-cohort (APC) model and the Bayesian age-period-cohort (BAPC) model were applied.ResultsIn 2021, there were 1,989,686 (95% uncertainty interval [95% UI], 1,530,479-2,493,238) deaths and 44,962,167 (95% UI, 35,020,339 − 55,467,024) DALYs due to air pollution-related stroke. The ASRs increased with age, peaking generally over 85 years. Males, the Central African region, and Guinea-Bissau showed higher stroke burdens Intracerebral hemorrhage was the most lethal subtype, with an ASR of 11.69 (95% UI 8.94–14.69) for deaths and 276.93 (95% UI 212.21-344.36) for DALYs. From 1990 to 2021, the crude number of deaths and DALYs increased by 13.4% and 6.3%, respectively, for the global stroke burden but showed a declining trend when age-standardized. Most GBD regions in Asia and Africa experienced an increasing stroke burden linked to air pollution, while Europe and America showed a decreasing trend. Predictions indicated a gradual reduction in ASRs, with higher rates in males from 2020 to 2040.ConclusionsThe global stroke burden associated with air pollution remained significant despite a decreasing trend until 2021. Although future predictions suggested a reduction, the crude counts for stroke burden remained substantial, with significant regional disparities. This warranted the implementation of public health policies and ongoing efforts.

Diffusion of ERP in the Construction Industry: An ERP Modules Approach: Case Study of Developing Countries

The risk–benefit analysis of ERP implementation is worth investigating to optimize the efficiency of ERP deployment in the construction sector. This study investigates the factors affecting the dissipation of ERP through diffusion models in developing countries. Moreover, it suggests a strategy to adopt ERP modules that optimize process integration and project efficiency through the priority factors method. According to the study, the internal model best describes the studied modules, and it suggests that imitative behavior and word of mouth significantly influence ERP adoption in the Africa and Middle East regions. This research concludes with an optimized order for deploying ERP modules based on the importance, urgency, and ease of implementation of each module. It is as follows: work progress (500), budgeting (405), procurement (343), site operations (280), planning and scheduling (270), accounting (252), inventory management (126), document control (90), and tendering (6). Therefore, it can be concluded that this study fills the research gap of ERP module adoption using diffusion models and priority factors within the construction industry, specifically in the specified regions. However, considering dynamic influence factors might provide more precise predictions, while involving a greater number of companies’ owners might highlight a greater importance of external factors.

Employing machine learning techniques for prediction of micronutrient supplementation status during pregnancy in East African Countries

Micronutrient deficiencies, known as “hidden hunger” or “hidden malnutrition,” pose a significant health risk to pregnant women, particularly in low-income countries like the East Africa region. This study employed eight advanced machine learning algorithms to predict the status of micronutrient supplementation among pregnant women in 12 East African countries, using recent demographic health survey (DHS) data. The analysis involved 138,426 study samples, and algorithm performance was evaluated using accuracy, area under the ROC curve (AUC), specificity, precision, recall, and F1-score. Among the algorithms tested, the random forest classifier emerged as the top performer in predicting micronutrient supplementation status, exhibiting excellent evaluation scores (AUC = 0.892 and accuracy = 94.0%). By analyzing mean SHAP values and performing association rule mining, we gained valuable insights into the importance of different variables and their combined impact, revealing hidden patterns within the data. Key predictors of micronutrient supplementation were the mother’s education level, employment status, number of antenatal care (ANC) visits, access to media, number of children, and religion. By harnessing the power of machine learning algorithms, policymakers and healthcare providers can develop targeted strategies to improve the uptake of micronutrient supplementation. Key intervention components involve enhancing education, strengthening ANC services, and implementing comprehensive media campaigns that emphasize the importance of micronutrient supplementation. It is also crucial to consider cultural and religious sensitivities when designing interventions to ensure their effectiveness and acceptance within the specific population. Furthermore, researchers are encouraged to explore and experiment with various techniques to optimize algorithm performance, leading to the identification of the most effective predictors and enhanced accuracy in predicting micronutrient supplementation status.

Genetic, breeding and environmental parameters for yellow sugarcane aphid (Sipha flava) damage in advanced South African sugarcane breeding populations

Yellow sugarcane aphid (YSA), a native pest of temperate and subtropical regions in North America, has spread to many regions of the world including KwaZulu-Natal and Mpumalanga sugarcane growing regions of South Africa. Cultivar differences to YSA damage have been observed in Mpumalanga where high infestation levels occur. The objectives of this study were to determine genetic, breeding, and environmental parameters for YSA damage and implications on breeding for resistance. Data for YSA damage were collected from 12 genotype populations planted in Mpumalanga. There were significant (p < 0.0001) genotype effects indicating genetic variability. Significant (p < 0.01) environment effects showed that YSA damage in February was significantly (p < 0.05) higher than in December. The significant (p < 0.01) genotype by environment interaction indicated February as the best month to screen for YSA. Higher broad sense heritability (> 0.70) suggests selecting resistant genotypes would be effective. Data collected in February produced higher broad sense heritability (> 0.80) than in December (< 0.70) suggesting February as the preferred month to score for damage. The proportion of resistant genotypes was 16.5% (range 2–34%), indicating the presence of resistant in South African advanced genotype populations. Evaluation of released cultivars showed N36, N49 and N71 are resistant while N57 and N73 are susceptible.

Revealing the Genetic Differentiation of Rattus norvegicus (Berkenhout 1769) Populations by Analyzing Two Mitochondrial Markers

Rattus norvegicus (Brown rat) has a great importance for public health and economy because it lives in close association with human populations. However, molecular systematic studies on global populations of R. norvegicus are very few. In this study, sequences obtained from Europe, Asia, Africa, and America regions were analyzed using mitochondrial Cytochrome-b and Cytochrome oxidase-I gene regions and genetic differentiation levels between these populations were revealed. Accordingly, samples belonging to the studied populations did not split in Bayesian Inference trees and Median-joining networks; these samples also formed common haplotypes, and mean genetic distance and fixation index values were generally low. The results of the study showed that gene flow between these populations may be continuing due to the transportation activity by humans.

Mpox in East Africa: Learning from COVID-19 and Ebola to Strengthen Public Health Responses.

The Africa Centers for Disease Control and Prevention declared mpox a Public Health Emergency of Continental Security (PHECS) in Africa. African public health systems have moved to mobilize a response against a backdrop of inherent significant challenges. With this commentary, we discuss how lessons from past public health emergencies, particularly COVID-19 and Ebola outbreaks, have prepared the region for improved disease surveillance, rapid response strategies, and effective public health communication and how these lessons can be applied to the mpox response, emphasizing the importance of strong healthcare infrastructure, effective data sharing, community engagement, targeted interventions, and robust contact tracing. Additionally, addressing misinformation and building public trust are crucial for controlling the spread of any disease. By leveraging these strategies, African countries can enhance their response to mpox. This includes improving diagnostic capabilities, strengthening cross-border collaborations, and prioritizing vaccination campaigns where needed. Ultimately, by applying the hard-earned lessons from the COVID-19 pandemic and Ebola outbreak, the East Africa region can better address the challenges posed by mpox and safeguard public health.

Efficacy of prebiotic, probiotic, and synbiotics in improving growth in children under age five years in Africa: A protocol for a systematic review.

Background: Stunting is among the main obstacles to human development affecting millions of children worldwide, particularly in the sub-Saharan Africa region. Randomized clinical trials have shown the positive effects of prebiotics, probiotics, and synbiotics in improving growth in children and toddlers. However, although the global mobilization to tackle its challenges in their different aspects is visible, it remains to define effective large-scale up interventions and strategies to obtain long-lasting impacts. Objective: The objective of this review is to re-evaluate the efficacy of prebiotics, probiotics, and/or synbiotics on growth in children 0 to 5 years in Africa including recently published studies. Methods: Systematic search will be carried out in Pubmed, Science Direct, clinicaltrial.org, and Google Scholar. Both randomized and observational studies that assess the association between prebiotics, probiotics, and synbiotics, and health benefits and growth in children under 5 years of age will be included in the review. PRISMA-P (preferred reporting items for systematic review and meta-analysis protocols) will be used used for this protocol, and PRISMA will be used for the systematic review. The Cochrane Risk Assessment Tool will be used to assess the quality of eligible studies. If the compiled data are appropriate and sufficient enough, we will perform a meta-analysis using RevMan software. Conclusion: This review will provide up-to-date and reliable information on the efficacy of prebiotics, probiotics, and synbiotics on the growth of children under 5 years of age especially in developing countries. PROSPERO registration number CRD42022343138.

Rainfall characteristics over the Congo Air Boundary Region in southern Africa: A comparison of station and gridded rainfall products

Strong meridional rainfall gradients exist between the tropics and subtropics in southwestern Africa, bounded to the north by the moist Congo basin and to the south by the Kalahari Desert. This domain received relatively little scientific attention compared to the rest of southern Africa. In this study, the limited available station data are assessed against six gridded rainfall products (CHIRPS, PERSIANN-CDR, ERA5, GPCC and CPC) for various rainfall characteristics. The nearest neighbour approach was used to match the closest rainfall dataset pixel to each station location, with the assumption that each rain gauge represents observation of various pixels of products, irrespective of product resolution. Results reveal that ERA5, CHIRPS and PERSIANN-CDR tend to represent the monthly rainfall totals and number of rainy days well for most stations although magnitudes and monthly peaks differ. CPC and GPCC tend to perform poorly for magnitudes of rainfall, rainy days and monthly cycles especially for Angolan stations. These products also fail to adequately capture spatial distributions of rainfall, with poor representation of the strong gradients found in the region.Correlations between various gridded rainfall products mostly show good agreement in rainfall totals and rainy days. For early summer (October–November-December) moderate rainy days, ERA5 and CHIRPS products tend to have more days than the stations while CPC and GPCC products perform poorly over Angola and in the south. ERA5 generally overestimates rainfall in mountainous regions, while other products tend to underestimate it. Based on the Simple Daily Intensity Index, it was found that for most of the gridded rainfall products tend to overestimate rainfall during rainy days in the northern and wetter part of the domain. Furthermore, for heavy rainfall, CPC and GPCC tend to compare fairly well with stations in the southern and eastern parts of the domain but poorly with those in the western parts. PERSIANN-CDR tends to underestimate heavy rainy days for most stations in early and late summer (January–February-March-April). However, CHIRPS compares well at several stations, while ERA5 performs well for stations located in the south. This study helps provide useful guidance in choosing suitable rainfall gridded datasets for assessing long term rainfall cycles, daily rainfall characteristics as well as extremes over southwestern Africa.

Technological Innovation, Trade Openness, Natural Resources, and Environmental Sustainability in Egypt and Turkey: Evidence from Load Capacity Factor and Inverted Load Capacity Factor with Fourier Functions

The environmental degradation in the Middle East and North Africa (MENA) region leads to significant challenges regarding economic sustainability and the attainment of sustainable development goals (SDGs). The extensive use of fossil fuels in the region, as well as rapid urbanization and economic growth, has led to significant carbon emissions, together with unprecedented ecological footprints compromising environmental sustainability. The study aims to elucidate the influence exerted by technological innovation, trade openness, and natural resources on environmental sustainability in Turkey and Egypt for the period 1990–2022. In assessing the empirical relations, the study employed the Fourier function incorporate estimation techniques, that is, Fourier ADF for unit root test, Fourier ARDL, and Fourier NARDL for long-run and short-run elasticities of technological innovation (TI), trade openness (TO,) and natural resources rent (NRR) on load capacity factor (LCF) and inverted LCF (ILCF); finally, the directional causality evaluate through Fourier TY causality test. The results revealed that both Turkey and Egypt have severe environmental problems due to their high carbon emissions and ecological footprints. Technological change and international trade separately negatively affect environmental sustainability; however, these negative impacts have mixed character. On the one hand, technology can improve efficiency and reduce ecological footprints by obviating the use of high-impact processes or allowing cleaner production systems. In the same vein, trade openness helps transfer green technologies more quickly, but it can also lead to unsustainable resource extraction and pollution. The findings of the paper propose that in order to move forward, Turkey and Egypt need strategic policy shifts to ensure environmental sustainability, including transitioning towards renewable energy from fossil fuels while bolstering their capacity for energy efficiency. Policymakers must balance economic development with environmental conservation to reduce the harmful effects of climate degradation and help safeguard continued economic survival in the face of increasing climatic instability. This research helps to inform policy and investment decisions about how the SDGs can be achieved and how they are relevant for sustainable development in the MENA region.

Estimating The Prevalence of Non-Communicable Diseases and Adherence to Dietary Habits And Physical Activity Among Healthcare Professionals in The Middle East And North Africa Regions

The rising number of fatalities linked to food, exercise, and non-communicable illnesses has sparked interest in studying their effects. In society, Healthcare Professionals (HCPs) symbolize health and wellbeing. However, the incidence of chronic illness and healthy habits among Middle East and North Africa (MENA) HCPs remains unclear. To determine the prevalence of chronic diseases and adherence to healthy dietary habits and physical activity among HCPs in the MENA region. Algeria, Egypt, El Yemen, Iraq, Jordan, Kuwait, Libya, Palestine, Saudi Arabia, Sudan, and Syria HCPs (physicians, dentists, nurses, pharmacists, and nutritionists) participated in multicenter cross-sectional research. April to June 2022 data on diet and exercise habits was collected using a pre-tested self-administered questionnaire. Demographics, risk factors, medical history, and nutrition and exercise were included in the questionnaire. HCP diet and exercise were examined using multivariable regression models. A study of 7130 HCPs (mean age 28.6 ± 7.8 years, 57.5% females) was conducted. Physicians held 56.8% of the sample population, followed by pharmacists, nurses, dentists, and nutritionists. Cardiovascular disease (CVD) affected 33.1% of individuals. Alcohol, pork, soda, sugar, and smoking raised the risk of non-communicable diseases. Nutritionists were the most active HCPs. About half of dietitians (45.3%) walked 150 minutes or more per week, while 14.7% and 25.9% did 150 minutes or more of moderate and 75 minutes or more of intense exercise, respectively. HCPs in MENA had high rates of CVD and risk factors such smoking, alcohol, pork, soda, sugar, and less exercise. MENA HCPs must be aware of the significant incidence of these risk factors to enhance health behavior.

Agroforestry stand age influence physical and chemical soil parameters

The role of agroforestry in improving soil parameters is well known. However, there is debate as to how age of agroforestry practice affects physical and chemical parameters especially in the tropical region of Sub-Saharan Africa where adoption of the practice is fairly recent. To understand those effects, a study was conducted using soil samples taken in farms adopting/non adopting agroforestry practises, selected using a stratified, random sampling strategy. Soil was sampled from adopters and non-adopters using soil auger. At least five sub-samples were collected from each location and the soil mixed to get an integrated soil sample for analysis. The physical (sand, clay, silt and bulk density), chemical properties (pH, total nitrogen [TN], total phosphorus [TP], total organic carbon [TOC], carbon nitrogen ratio [C/N] and carbon to phosphorus ratio [C/P]) were analyzed in the soil. The exchangeable bases (K, Ca, Mg and Na) as well as micronutrients (Mn, Cu, Fe and Zn) were also analyzed. The results indicated that sand was significantly (P < 0.05) higher among non-adopters compared to adopters while silt and bulk density was significantly (P < 0.05) higher among the adopters compared to the non-adopters. Sand levels decreased while silt and bulk density significantly increased with increasing agroforestry stand age. The TN, TOC and C/P ratio were significantly (P < 0.05) higher among adopters and increased consistently with age of adoption, while C/N was higher among non-adopters and decreased with increasing age of agroforestry stand. The trend in exchangeable bases and micro-nutrients in the soil were similar, where higher concentrations occurred among adopters and displayed an increase with regard to age of agroforestry stand. Our results support the hypothesis that age of agroforestry practice affects soil in parameter-specific patterns.

Leveraging machine learning and Landsat time series for high-resolution mapping of mining-induced vegetation changes in Ouagadougou, Burkina Faso

Quarries are open pit mines, where construction materials such as granite and clay are extracted from the earth's surface, leading to a major disturbance of vegetation and subsequent degradation of ecosystem services. Assessing mining-associated degradation over time remains a challenge. This paper uses a temporal series of Landsat satellite image extracted from Google Earth Engine (GEE) for monitoring mining effects on land cover around the West African city of Ouagadougou, Burkina Faso. We conducted a binary classification of quarry and non-quarry using Landsat 9 images. To account for varying quarry patterns, we applied the LandTrendr algorithm to analyze images from 1990 to 2022, mapping annual vegetation disturbance and recovery. This generated high-resolution land cover maps with over 90 % accuracy across 257 quarries (38 km²). LandTrendr identified disturbance years with 87 % accuracy and assessed recovery in abandoned quarries. Remote sensing accuracy was validated through fieldwork and analysis of historical aerial photos. Our findings revealed that major disturbances coincided with new quarrying activities, particularly during urban expansion from 2005 to 2019, with NDVI decreasing by 0.3 in active mining areas. Vegetation recovery was observed in 23 % of the abandoned quarries, with NDVI increases by 0.15 within five years post abandonment, particularly in clay quarries. The strongest recovery occurred in given up abandoned from 2015 to 2019, aligned with increased conservation efforts. Our approach offers valuable insights into mining impacts and vegetation resilience in semi-arid environments, informing sustainable urban planning and environmental management in rapidly transforming regions of West Africa.

Projected health workforce requirements and shortage for addressing the disease burden in the WHO Africa Region, 2022–2030: a needs-based modelling study

IntroductionAn adequate health workforce (HWF) is essential to achieving the targets of the Sustainable Development Goals (SDG), including universal health coverage. However, weak HWF planning and constrained fiscal space for...

Global trend of cervical cancer among women aged 55 and older from 2010 to 2019: An analysis by socio-demographic index and geographic regions.

This study describes the 2010-2019 trend of cervical cancer (CC) in women over 55 by socio-demographic index (SDI) and geographical regions. We obtained data on CC annually from 2010 to 2019 from the 2019 Global Burden of Disease Study (GBD) to analyze the incidence, death and prevalence rates, and disability-adjusted life years (DALYs) associated with CC across different parameters such as global trend, age groups, SDI, continents, World Bank Regions, World Health Organization (WHO) regions, GBD regions, and National and territorial division. This analysis covers data from 204 countries and territories from 1990 to 2019. There were 236,228 CC incidence cases worldwide in 2019, which is a 1.27-fold increase from 2010. Global CC deaths also increased to 169,304 cases in 2019, reflecting a 1.24-fold increase. CC prevalence increased to 769,925 cases in 2019, representing a 1.4-fold rise. The number of CC DALYs globally increased to 3,835,979 cases in 2019, reflecting a 1.24-fold increase. Incidence, death, prevalence, and DALY numbers of CC increased across all age groups females in the 65-69 years age group experienced the highest increase. Middle SDI countries had the highest incidence, death, prevalence, and DALY numbers, while low SDI countries showed increasing trends. Asia exhibited the highest incidence, death, prevalence, and DALY numbers of CC. Upper middle-income countries had the highest incidence, death, prevalence, and DALY numbers, with the highest decreases in these rates except the prevalence rate. The Western Pacific Region showed the highest incidence, death, prevalence, and DALY numbers, with declining rate trends. The Republic of Kiribati showed the highest incidence, death, prevalence, and DALY numbers. Based on the study results, it is clear that although the global trend of epidemiological indicators of CC is decreasing, the largest proportion of the decreasing trend is related to developing countries. But in regions of Africa and Asia that have a lower level of development, sometimes these indicators show upward trends, which shows the worsening of the problem in these regions and the need for serious policies and plans to implement comprehensive vaccination, screening, and promotion interventions. People's awareness is necessary in the field of better disease control.

Analysis of co-operative irrigation farming and household food security in Africa: A PRISMA model approach

This study provides a comprehensive bibliometric analysis of the relationship between co-operative irrigation farming and household food security in Africa. The research aims to identify key studies, authors, and thematic clusters, analyse the geographical distribution of research efforts, and evaluate the impact of co-operative irrigation farming on food security indicators. Utilizing the PRISMA model, data were systematically gathered from peer-reviewed publications indexed in the Dimensions database, focusing on materials published between 2019 and 2023. The study employed both bibliometric and descriptive-quantitative methodologies to analyse the data. The results reveal a significant positive impact of co-operative irrigation farming on improving household food security across various regions in Africa. The findings highlight the need for targeted policy interventions and sustainable agricultural practices that support co-operative irrigation efforts. A growing scholarly attention toward co-operative irrigation farming and household food security in recent years reveals a potentiality in finding a sustainable solution to food insecurity challenge. These insights are essential for shaping future research and informing policies aimed at enhancing food security through co-operative farming models in the African context.

Ocular Complications of Mpox: Evolving Understanding and Future Directions.

Mpox (formerly known as monkeypox), an infectious disease caused by the monkeypox virus (MPXV), has been endemic in regions of Central and Western Africa. In 2022, the global spread of the clade IIb MPXV led to a multinational outbreak, primarily affecting sexual transmission networks among men who have sex with men. Despite interventions, new cases have continued to emerge. In Africa, the spread of a novel strain of clade I MPXV, clade Ib, has prompted a Public Health Emergency of International Concern designation by the World Health Organization in August 2024. This article provides an updated overview of the epidemiology, systemic, and ocular manifestations, highlighting the clinical features, diagnostic testing, and implications relevant to ophthalmologists and eye care providers, including infection prevention and control measures. The ocular manifestations of mpox primarily involve the ocular surface and anterior segment, with presentations ranging from conjunctivitis to severe, vision-threatening keratitis and uveitis. While the 2022 to 2024 Clade IIb outbreak has shown a lower incidence of ocular involvement compared with previous outbreaks, the potential for significant visual morbidity remains. Treatment involves both systemic and topical therapies, with tecovirimat being the primary systemic option, though its efficacy and ophthalmic bioavailability remain under investigation. Ongoing surveillance and research are essential to further understand the epidemiology and ophthalmic features of mpox and, ultimately, to optimize prevention and treatment strategies for patients.

Ecohydrological Variables Underlie Local Moisture Recycling in Mediterranean‐Type Climates

AbstractMediterranean areas are projected to face increased water scarcity due to global changes. Because a relatively large fraction of the precipitation in Mediterranean areas originates locally, changes at the land surface may further dampen local precipitation. Here, we study the contribution of evaporation to local precipitation for the first time on a scale of approximately 50 km using local evaporation recycling (ELMR) and local precipitation recycling (PLMR), and make a comparison among five Mediterranean climate regions: South West Australia, South West US, central Chile, the Mediterranean Basin, and the Cape region of South Africa. Specifically, this study aims to understand the effects of ecohydrological (dependent on vegetation or the hydrological cycle) and non‐ecohydrological variables on ELMR and PLMR. We find that (a) on average, ecohydrological variables correlate more frequently and more strongly to ELMR and PLMR than non‐ecohydrological variables; (b) ELMR is large over wet areas and PLMR is large over dry areas; and (c) there are differences in underlying factors of ELMR and PLMR among the regions due to differences in wetness, topography, and land cover. The results suggest that in Mediterranean regions, changes in vegetation cover or the hydrological cycle may strengthen the local water cycle through enhancing ELMR. Finally, ELMR and PLMR help to identify where in Mediterranean regions we might enhance the local water cycle through land cover changes.