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This study aims to deepen the understanding of the challenges and implications entailed by deploying mobile clinics in conflict zones to reach populations affected by violence and cut off from health-care services.

This research combines an integrated literature review and an instrumental case study. The literature review comprises two targeted reviews to provide insights: one on conflict zones and one on mobile clinics. The case study describes the process and challenges faced throughout a mobile clinic deployment during and after the Iraq War. The data was gathered using mixed methods over a two-year period (2017–2018).

Armed conflicts directly impact the populations’ health and access to health care. Mobile clinic deployments are often used and recommended to provide health-care access to vulnerable populations cut off from health-care services. However, there is a dearth of peer-reviewed literature documenting decision support tools for mobile clinic deployments.

This study highlights the gaps in the literature and provides direction for future research to support the development of valuable insights and decision support tools for practitioners.

This paper aims to examine why people with disabilities (PWDs) are at risk due to climate change. It also discusses the linkage between climate change events and the mental health of the disabled population.

This paper follows a qualitative approach.

Climate change can affect the mental well-being of PWDs in several ways such as increased vulnerability, displacement-related trauma, social isolation, loss of independence, climate anxiety and eco-grief.

The paper has practical implications for policymakers. Because climate change has a disproportionate impact on PWDs, there is an urgent need to include them in climate action, both as beneficiaries and decision-makers.

The paper attempts to explore the measures that can be taken for prevention and mitigation of impacts on the mental health of PWDs.

Sub-Saharan Africa (SSA) is regarded as a region with one of the worst cases of armed conflict and climate risk. This paper examines the interactive effect of armed conflict and climate risk on gender vulnerability in SSA.

The difference and system generalised method of movement (GMM) were used to examine the relationship between the variables using annualised data of 35 SSA countries from 1998 to 2019.

The paper found strong evidence that armed conflict and climate change are positive predictors of gender vulnerability. The impact of climate change on gender vulnerability is found to be more direct than indirect.

The direct and indirect positive effect of armed conflict and climate change on gender vulnerability implies that climate change drives gender vulnerability through multiple channels. This underscores the need for a multi-disciplinary policy approach to addressing gender vulnerability problem in SSA.

The study contributes to the climate action debate by highlighting the need for climate action to incorporate gender inclusive policies such as massive investment in infrastructure and safety nets that offer protection to the most vulnerable girls and women affected by armed conflict and climate change. Societies should as a matter of urgency strive to structural barriers that predispose girls and women to biodiversity loss.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2022-0595

Our paper studies a central issue with a long history in economics: the relationship between population and economic growth. We analyze the joint dynamics of economic and demographic growth in 111 countries during the period 1960–2019.

Using the concept of economic regime, the paper introduces the notion of distance between the dynamical paths of different countries. Then, a minimal spanning tree (MST) and a hierarchical tree (HT) are constructed to detect groups of countries sharing similar dynamic performance.

The methodology confirms the existence of three country clubs, each of which exhibits a different dynamic behavior pattern. The analysis also shows that the clusters clearly differ with respect to the evolution of other fundamental variables not previously considered [gross domestic product (GDP) per capita, human capital and life expectancy, among others].

Our results indirectly suggest the existence of dynamic interdependence in the trajectories of economic growth and population change between countries. It also provides evidence against single-model approaches to explain the interdependence between demographic change and economic growth.

We introduce a methodology that allows for a model-free topological and hierarchical description of the interplay between economic growth and population.