We detected a cluster of dengue virus infections in children in Kenya during July 2014–June 2015. Most cases were type 1, but we detected all 4 serotypes, including co-infections with 2 serotypes. Our findings implicate dengue as a cause of febrile illness in this population and highlight a need for robust arbovirus surveillance.

Purpose: Many African countries struggle to sustain steady economic growth. Specific macro-economic factors can influence a country’s economic growth. We investigated the trend and influence of diaspora remittances, foreign direct investment (FDI) and imports on Kenya’s economic growth.Design/methodology/approach: We used panel data from the World Bank Indicators database from 1973 to 2021. By utilising the autoregressive distributed lag (ARDL) model for econometric analysis and performing computations using R software, we provide valuable insights into both short-term and long-term dynamics.Findings: In the short term, we establish a non-significant negative impact of FDI and imports on economic growth, contrasting with the positive influence of diaspora remittances. However, in the long term, all three variables – FDI, imports and remittances – emerge as significant determinants of economic growth.Research limitations/implications: The availability and quality of data on diaspora remittances, FDI inflows, imports and economic indicators may vary, leading to potential data limitations, biases or gaps in the analysis. External factors such as global economic trends, political stability, COVID-19, regulatory changes and natural disasters may influence the study’s findings and should be considered when interpreting the results.Practical implications: In the short term, the non-significant negative impact of FDI and imports on economic growth suggests that policies promoting FDI and imports may not yield immediate economic growth benefits. Policymakers might need to reassess the effectiveness of current strategies aimed at attracting FDI and managing imports in the short term. The positive influence of diaspora remittances on economic growth underscores the significance of these inflows in supporting economic development. Governments may need to focus on policies that encourage remittance inflows, such as facilitating remittance channels and providing incentives for diaspora investment in the home country. The shift in significance from non-significant in the short term to significant in the long term for FDI, imports and remittances highlights the importance of considering long-term effects in economic planning. Policymakers should adopt strategies that consider the cumulative impact of these factors over time.Social implications: Diaspora remittances often play a crucial role in alleviating poverty and reducing inequality by providing direct financial support to families. Recognising the importance of remittances in improving living standards, policymakers should ensure that policies support the effective utilisation of remittance inflows to address poverty and inequality challenges.Originality/value: We therefore contribute original insights by examining the interplay between diaspora remittances, FDI, imports and economic growth over the study period. The emphasis on both short-term and long-term effects adds nicety to understanding their roles in shaping Kenya’s economic growth trail.

Resource conflicts constitute a major global issue in areas rich in natural resources. The modeling of factors influencing natural resource conflicts (NRCs), including environmental, health, socio-economic, political, and legal aspects, presents a significant challenge compounded by inadequate data. Quantitative research frequently emphasizes large-scale conflicts. This study presents a novel multilevel approach, SEFLAME-CM—Spatially Explicit Fuzzy Logic-Adapted Model for Conflict Management—for advancing understanding of the relationship between NRCs and drivers under territorial and rebel-based typologies at a community level. SEFLAME-CM is hypothesized to yield a more robust positive correlation between the risk of NRCs and the interacting conflict drivers, provided that the conflict drivers and input variables remain the same. Local knowledge from stakeholders is integrated into spatial decision-making tools to advance sustainable peace initiatives. We compared our model with spatial multi-criteria evaluation for conflict management (SMCE-CM) and spatial statistics. The results from the Moran’s I scatter plots of the overall conflicts of the SEFLAME-CM and SMCE-CM models exhibit substantial values of 0.99 and 0.98, respectively. Territorial resource violence due to environmental drivers increases coast-wards, more than that stemming from rebellion. Weighing fuzzy rules and conflict drivers enables equal comparison. Environmental variables, including proximity to arable land, mangrove ecosystems, polluted water, and oil infrastructures are key factors in NRCs. Conversely, socio-economic and political factors seem to be of lesser importance, contradicting prior research conclusions. In Third World nations, local communities emphasize food security and access to environmental services over local political matters amid competition for resources. The synergistic integration of fuzzy logic analysis and community perception to address sustainable peace while simultaneously connecting environmental and socio-economic factors is SEFLAME-CM’s contribution. This underscores the importance of a holistic approach to resource conflicts in communities and the dissemination of knowledge among specialists and local stakeholders in the sustainable management of resource disputes. The findings can inform national policies and international efforts in addressing the intricate underlying challenges while emphasizing the knowledge and needs of impacted communities. SEFLAME-CM, with improvements, proficiently illustrates the capacity to model intricate real-world issues.