Epistemological freedom: activating co-learning and co-production to decolonise knowledge production

Purpose>The purpose of the paper is to challenge and address the limitations of the traditional system of knowledge production that is embedded in disaster and climate change research studies, and research studies in general. It argues that knowledge production in research processes conforms to colonialist thinking or west-inspired approaches. Such a system often results in the omission of crucial information due to a lack of participation, inclusion and diversity in knowledge production.Design/methodology/approach>The paper proposes practices and recommendations to decolonise knowledge production in disaster and climate change research studies, and research studies in general. It provides a brief literature review on the concepts of decolonisation of knowledge and epistemological freedom, and its origins;assesses the need for knowledge decolonisation, emphasising on the integration of local knowledge from grassroots women-led initiatives in instances where disasters and crises are being investigated in vulnerable communities, especially in the Global South;and finally the paper proposes to decolonise knowledge production through activating co-learning and co-production. The practices have been developed from the work of relevant authors in the field and case studies.Findings>Through a brief literature review on previous discourses on the topic of knowledge decolonisation and analysis of recent case studies on disaster and crisis management and community resilience, the paper finds that there exists a lack of pluralism and inclusion in epistemology which limits the pursuit to obtain the whole truth in the production of knowledge in research studies.Originality/value>This paper adds to the discussion of decolonisation of knowledge in the field of disaster and climate change research studies, and research processes in general. It provides in-depth analyses of recent case studies of emerging community resilience and local practices that were crucial in the face of the coronavirus disease 2019 (COVID-19) crisis.

Interactions between two existential threats: COVID-19 and climate change.

The COVID-19 pandemic and climate change are complex existential threats, unpredictable in many ways and unprecedented in modern times. There are parallels between the scale and scope of their impacts and responses. Understanding shared drivers, coupled vulnerabilities, and criteria for effective responses will help societies worldwide prepare for the simultaneous threats of climate change and future pandemics. We summarize some shared characteristics of COVID-19 and climate change impacts and interventions and discuss key policy implications and recommendations.

Are meteorological factors enhancing COVID-19 transmission in Bangladesh? Novel findings from a compound Poisson generalized linear modeling approach.

Novel coronavirus (SARS-CoV-2) causing COVID-19 disease has arisen to be a pandemic. Since there is a close association between other viral infection cases by epidemics and environmental factors, this study intends to unveil meteorological effects on the outbreak of COVID-19 across eight divisions of Bangladesh from March to April 2020. A compound Poisson generalized linear modeling (CPGLM), along with a Monte-Carlo method and random forest (RF) model, was employed to explore how meteorological factors affecting the COVID-19 transmission in Bangladesh. Results showed that subtropical climate (mean temperature about 26.6 °C, mean relative humidity (MRH) 64%, and rainfall approximately 3 mm) enhanced COVD-19 onset. The CPGLM model revealed that every 1 mm increase in rainfall elevated by 30.99% (95% CI 77.18%, - 15.20%) COVID-19 cases, while an increase of 1 °C of diurnal temperature (TDN) declined the confirmed cases by - 14.2% (95% CI 9.73%, - 38.13%) on the lag 1 and lag 2, respectively. In addition, NRH and MRH had the highest increase (17.98% (95% CI 22.5%, 13.42%) and 19.92% (95% CI: 25.71%, 14.13%)) of COVID-19 cased in lag 4. The results of the RF model indicated that TDN and AH (absolute humidity) influence the COVID-19 cases most. In the Dhaka division, MRH is the most vital meteorological factor that affects COVID-19 deaths. This study indicates the humidity and rainfall are crucial factors affecting the COVID-19 case, which is contrary to many previous studies in other countries. These outcomes can have policy formulation for the suppression of the COVID-19 outbreak in Bangladesh.