Livelihood risks of compound disasters in coastal Bangladesh: Cascading impacts of COVID-19 and cyclone Amphan
Abstrak
Coastal communities in Bangladesh face recurring cyclones that repeatedly undermine their livelihoods. The arrival of COVID-19 in 2020 coincided with Cyclone Amphan, creating a compound disaster that generated cascading impacts across livelihood capitals. This study examined how different livelihood groups were affected by these overlapping crises in two coastal sub-districts namely Shyamnagar and Dacope. Participatory Rural Appraisal (PRA) tools, including 16 focus group discussions, were complemented by 24 key informant interviews to capture both community experiences and institutional perspectives. Matrix ranking exercises were used to identify and prioritize risks under livelihood capitals. Findings show that impacts were not uniform. Land-owning farmers and aquaculture-based fishers retained some productive assets, while landless farmers, day labourers, artisanal fishers, small business owners, and women experienced severe and prolonged income losses. A common coping strategy was diversification into mixed livelihood activities, though these options were constrained during the pandemic. The paper recommends short-term coping mechanisms including interest free loans, livestock support, and embankment protection, while longer-term adaptation initiatives should focus on livelihood diversification, vocational training, and stronger coordination among stakeholders. These findings highlight how compound disasters amplify pre-existing vulnerabilities and erode coping capacity, underscoring the need for integrated, livelihood-sensitive disaster governance in coastal Bangladesh.
Topik & Kata Kunci
Penulis (10)
Alif Al Arefin Prodhan
Mahmuda Mutahara
Sara Nowreen
Md. Mahedi Al Masud
Tasnim Kamal Shamma
Arup Talukder
Sumon Hossain Rabby
Sheikh Mohiuddin Shahrujjaman
Nabanita Chowdhury
Mashfiqus Salehin
Akses Cepat
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- 2026
- Sumber Database
- DOAJ
- DOI
- 10.1016/j.pdisas.2026.100537
- Akses
- Open Access ✓