Local Chain Research Articles

Ethical reflections on the COVID-19 pandemic in the global seafood industry: navigating diverse scales and contexts of marine values and identities

The global crisis instantiated by the COVID-19 pandemic opens a unique governance window to transform the sustainability, resilience, and ethics of the global seafood industry. Simultaneously crippling public health, civil liberties, and national economies, the global pandemic has exposed the diverse values and identities of actors upon which global food systems pivot, as well as their interconnectivity with other economic sectors and spheres of human activity. In the wake of COVID-19, ethics offers a timely conceptual reframing and methodological approach to navigate these diverse values and identities and to reconcile their ensuing policy trade-offs and conflicts. Values and identities denote complex concepts and realities, characterized by plurality, fluidity and dynamics, ambiguity, and implicitness, which often hamper responsive policy-setting and effective governance. Rather than adopt a static characterization of specific value or identity types, I introduce a novel hierarchical conceptualization of values and identities made salient by scale and context. I illustrate how salient values and identities emerge at multiple scales through three seafood COVID-19 contextual examples in India, Canada, and New Zealand, where diverse seafood actors interact within local, domestic (regional/national), and global seafood value chains, respectively. These examples highlight the differential values and identities, and hence differential vulnerabilities, resilience, and impacts on seafood actors with the COVID-19 pandemic, which necessitate differentiated policy interventions if they are to be responsive to those affected. An ethical governance framework that integrates diverse marine values and identities, buttressed by concrete deliberation and decision-support protocols and tools, can transform the modus operandi of global seafood systems toward both sustainable and ethical development.

Are interactions important in estimating flood damage to economic entities? The case of wine-making in France

Abstract. Estimating flood damage, although crucial for assessing flood risk and for designing mitigation policies, continues to face numerous challenges, notably the assessment of indirect damage. It is widely accepted that damage other than direct damage can account for a significant proportion of total damage. Yet due to scarcer data sources and lack of knowledge on links within and between economic activities, indirect impacts have received less attention than direct impacts. Furthermore, attempts to grasp indirect damage through economic models have not gone below regional levels. Even though local communities can be devastated by flood events without this being reflected in regional accounts, few studies have been conducted from a microeconomic perspective at local level. What is more, the standard practices applied at this level of analysis tackle entities but ignore how they may be linked. This paper addresses these two challenges by building a novel agent-based model of a local agricultural production chain (a French cooperative wine-making system), utilized as a virtual laboratory for the ex ante estimation of flood impacts. We show how overlooking existing interactions between economic entities in production chains can result in either overestimation (double counting) or underestimation (wrong estimation of the consequences for the activity) of flood damage. Our results also reveal that considering interactions requires thorough characterization of their spatial configuration. Based on both the application of our method and the results obtained, we propose balanced recommendations for flood damage estimation at local level.

A Transient Microsphere Model for Nonlinear Viscoelasticity in Dynamic Polymer Networks

Abstract Viscoelastic material behavior in polymer systems largely arises from dynamic topological rearrangement at the network level. In this paper, we present a physically motivated microsphere formulation for modeling the mechanics of transient polymer networks. By following the directional statistics of chain alignment and local chain stretch, the transient microsphere model (TMM) is fully anisotropic and micro-mechanically based. Network evolution is tracked throughout deformation using a Fokker–Planck equation that incorporates the effects of bond creation and deletion at rates that are sensitive to the chain-level environment. Using published data, we demonstrate the model to capture various material responses observed in physical polymers.

Research on Supply Chain Efficiency in COVID-19: The Role of Information and Communications

Information and communication technologies (ICT) have become an integral part of our life. Currently, supply chain (SC) management is also in a digital transformation, especially during the period of disruptions in global and local supply chains caused by the COVID-19 pandemic. The purpose of this study is to provide an empirical descriptive analysis of the role of digital technologies in improving the efficiency and recovery of SC in the pre-crisis period as well as in a pandemic. The research is based on the processing of statistical data and macroeconomic indicators that are freely available. The following are considered as basic indicators: Gross domestic product as a characteristic of the country's economic development level before the crisis; logistics efficiency index; digital life index. The authors have chosen few countries from different categories for the comparative analysis in the context of the selected assessment indicators The obtained study results confirmed the significant role of ICT in the efficiency improving and restoration of SC which had been destroyed in COVID-19. It is concluded that developed economies showed a high efficiency of their logistics systems at the national level and high values of the digital life rating. At the same time, the influence of ICT on the logistics system performance was not decisive in countries with average economic development and below ones. The results of this study can be used by companies' top management of various levels to build a strategy and tactics for their development including crisis management. The research methods and data can be applied to further explore the impact of ICT on the recovery and efficiency of global and local supply chains, including the updated data with the account of coronavirus pandemic impact to indicators which were used in the paper.

Spatial Distribution on Recovery Strategy Due to The Impact of The Covid-19 Pandemic on The Conditions of Micro Small Medium Enterprises (MSME’s) in Central Java Province, Indonesia

MSMEs are the backbone of the economy in Indonesia. However, most MSMEs were collapse due to the Covid-19 pandemic. Therefore, MSMEs recovery is needed to restore the real sector, particularly in Central Java. The study analyses the impact and economic recovery strategies during and after Covid-9 in the MSME sector. The research used a descriptive qualitative method. Data were collected by electronic survey and in-depth interviews and analyzed by SWOT. The results showed the Covid-9 pandemic significantly reduced MSME business actors’ profits due to decreased sales, while production costs remained or even increased. The vulnerability of MSMEs closes their businesses based on the subjective perceptions of business actors is that most of them can survive for more than a year ahead (33.1%) and the next six months to one year (30%). The rest can last for less than one month to the next six months, starting from December 2020. MSME entrepreneurs took several strategies to keep their business running. The methods include looking for new markets, providing discounts and bonuses, diversifying products, giving a consignment, looking for cheaper suppliers/raw materials, and purchasing raw materials with the last payment due. Potential risks when MSMEs are unable to maintain business are (1) lousy credit; (2) layoffs for workers and bankruptcy for business owners; and (3) supply and demand drop. The government should take action to recover MSMEs. The promising policies are (1) Facilitate MSMEs with capital for purchasing raw materials, (2) Development local supply chains through trading houses and regional logistics, (3) Facilitating access to financing, production, and marketing, (4) Encouraging product diversification according to the current needs of consumers, (5) Development of the MSME entrepreneurial ecosystem with a multi-stakeholder approach.

Novel methods for an interesting time: Exploring U.S. local food systems’ impacts and initiatives to respond to COVID*

The COVID‐19 pandemic and associated public health and social distancing mandates caused unprecedented shifts and disruptions for local and regional food systems (LRFS). The pandemic also brought new and heightened attention to the structure and resiliency of US food systems, and LRFS appeared to be positioned to significantly increase the scope and scale of their market reach as a result. Researchers from three universities collaborated with staff from the U.S. Department of Agriculture’s Agricultural Marketing Service to recruit leaders from sixteen key coalitions within the U.S. LRFS sector to frame an adaptive, community‐driven set of applied research activities to understand important themes, learn from effective responses and gain insights into how local and regional supply chains may change post‐pandemic. In this paper, we summarise urgent and emergent strategies and innovations from LRFS captured in a fall 2020 consumer survey, with additional insights on how the survey was framed and interpreted, considering synthesis of collaborative discussions and project team interactions. We conclude the article with a set of research, policy and technical assistance priorities that were identified and validated by this LRFS network.

An energy aware scheme for layered chain in underwater wireless sensor networks using genetic algorithm

Extending the network lifetime is a very challenging problem that needs to be taken into account during routing data in wireless sensor networks in general and particularly in underwater wireless sensor networks (UWSN). For this purpose, the present paper proposes a multilayer chain based on genetic algorithm routing (MCGA) for routing data from nodes to the sink. This algorithm consists to create a limited number of local chains constructed by using genetic algorithm in order to obtain the shortest path between nodes; furthermore, a leader node (LN) is elected in each chain followed by constructing a global chain containing LNs. The selection of the LN in the closest chain to the sink is as follows: Initially, the closest node to sink is elected LN in this latter because all nodes have initially the same energy value; then the future selection of the LN is based on the residual energy of the nodes. LNs in the other chains are selected based on the proximity to the previous LNs. Data transmission is performed in two steps: intra-chain transmission and inter-chain transmission. Furthermore, MCGA is simulated for different scenarios of mobility and density of nodes in the networks. The performance evaluation of the proposed technique shows a considerable reduction in terms of energy consumption and network lifespan.

AlphaFold 2: Why It Works and Its Implications for Understanding the Relationships of Protein Sequence, Structure, and Function.

AlphaFold 2 (AF2) was the star of CASP14, the last biannual structure prediction experiment. Using novel deep learning, AF2 predicted the structures of many difficult protein targets at or near experimental resolution. Here, we present our perspective of why AF2 works and show that it is a very sophisticated fold recognition algorithm that exploits the completeness of the library of single domain PDB structures. It has also learned local side chain packing rearrangements that enable it to refine proteins to high resolution. The benefits and limitations of its ability to predict the structures of many more proteins at or close to atomic detail are discussed.

A secured authentication and DSM‐KL ascertained performance optimization of a hybrid block chain‐enabled framework for a multiple WSN

SummaryBlock chain is extensively seen as a potential alternative in the safety and efficiency problems of the vast internet of things (IoT) data to allow safe and successful data storage/processing/sharing. In this manuscript, a secured authentication and deep slime mould optimized kernel learning (DSM‐KL) ascertained performance optimization of a hybrid block chain‐enabled framework for a multiple wireless sensor network (WSN) is proposed to recover data security performance and efficiency. To reflect the reality of the multi‐WSN network better, local block chain and public block chain are deployed, and a hybrid block chain model is created as per the various capabilities and energy of different nodes. A multi‐WSN network model is intended. It has numerous nodes on IoT. Based on dissimilar functions of nodes, the IoT nodes are divided into base stations, cluster heads and ordinary nodes based on its capabilities that facilitate management and cooperation of nodes. A DSM‐KL algorithm for dynamically selecting/adjusting block producer, consensus algorithm, block size and block interval to recover efficiency to handle both dynamic and broad dimensional properties of IoT systems is designed. The simulation process is executed in the MATLAB platform. The proposed DSM‐KL attains lower drop 27.53%, higher delivery ratio 28.56%, lower drop 28.64%, lower energy depletion rate 38.63%, higher network active time 38.47%, lower overhead 26.47% and higher throughput 27.67%, and the performances are compared with the existing methods such as deep reinforcement learning (DRL) and block chain and reinforcement learning (RLBC), respectively.

Evaluation of Glycemic Index of Six Different Samples of Commercial and Experimental Pasta Differing in Wheat Varieties and Production Processes.

Pasta is a staple food of the Mediterranean Diet, and it is traditionally made of durum wheat semolina. In Sicily, durum wheat production and its transformation into semolina, bread, and pasta are well-developed economic sectors. For pasta, there is a wide supply of commercial brands, whether coming from conventional industrial manufacturing or from medium to small and local handcrafted production. Both conventional durum wheat and local durum wheat landraces, such as Timilia and Russello, are used for pasta production, but local landraces are, for the most, transformed into handcrafted pasta. The market of local landraces durum wheat pasta has risen in recent decades, in Sicily and in Italy as well, boosted by a perceived high nutritional and healthy value of these wheat derivatives. In particular, a popular and scientifically unproven idea suggests that a reduced glycemic response might be elicited by these pasta landraces. Therefore, to test this hypothesis, the main objective of the present study was the evaluation of the glycemic index (GI) of four samples of Timilia and Russello handcrafted pasta and two samples of conventional durum wheat pasta. The study enrolled fourteen healthy weight male and female volunteers aged from 18 to 46; eight test sessions were performed twice a week, every session testing a pasta sample (six sessions) or the glucose solution chosen as reference food (two sessions). The standard methodology for GI measurement was followed during each step of the study. The six tested pasta samples were characterized regarding their composition (protein, fiber, and starch content) and their whole production processes (milling method and milling diagram of flour or semolina, drying temperature, and diagram of pasta shape). The six tested pasta samples showed GI values ranging from low (34.1) to intermediate (63.1). Timilia and Russello pasta are the first GI calculations available. The two samples made of conventional grains showed lower values of GI (34.1 and 37.8). The results do not support the popular idea of a reduced glycemic response elicited by Timilia and Russello wheat landrace pasta; the tested samples showed GI values in the range of 56.2 to 63.1. However, some consideration should be made of factors other than wheat varieties and related to production processes that may have affected the final GIs of the pastas. Even if the study is not designed to discriminate among factors related to wheat varieties or processes used to produce different pasta, it is a preliminary step in the characterization of the healthy potential of the local wheat landraces, popularly called ancient grain. A future implementation of the local wheat landraces supply chain should pay attention to all the factors above, from a better seed identity certification to the production process in order to further improve the healthy value of these staples of the Mediterranean Diet.

Improving sustainable hydrogen production from green waste: [FeFe]-hydrogenases quantitative gene expression RT-qPCR analysis in presence of autochthonous consortia

BackgroundBio-hydrogen production via dark fermentation of low-value waste is a potent and simple mean of recovering energy, maximising the harvesting of reducing equivalents to produce the cleanest fuel amongst renewables. Following several position papers from companies and public bodies, the hydrogen economy is regaining interest, especially in combination with circular economy and the environmental benefits of short local supply chains, aiming at zero net emission of greenhouse gases (GHG). The biomasses attracting the largest interest are agricultural and urban green wastes (pruning of trees, collected leaves, grass clippings from public parks and boulevards), which are usually employed in compost production, with some concerns over the GHG emission during the process. Here, an alternative application of green wastes, low-value compost and intermediate products (partially composted but unsuitable for completing the process) is studied, pointing at the autochthonous microbial consortium as an already selected source of implementation for biomass degradation and hydrogen production. The biocatalysts investigated as mainly relevant for hydrogen production were the [FeFe]-hydrogenases expressed in Clostridia, given their very high turnover rates.ResultsBio-hydrogen accumulation was related to the modulation of gene expression of multiple [FeFe]-hydrogenases from two strains (Clostridium beijerinckii AM2 and Clostridium tyrobutyricum AM6) isolated from the same waste. Reverse Transcriptase quantitative PCR (RT-qPCR) was applied over a period of 288 h and the RT-qPCR results showed that C. beijerinckii AM2 prevailed over C. tyrobutyricum AM6 and a high expression modulation of the 6 different [FeFe]-hydrogenase genes of C. beijerinckii in the first 23 h was observed, sustaining cumulative hydrogen production of 0.6 to 1.2 ml H2/g VS (volatile solids). These results are promising in terms of hydrogen yields, given that no pre-treatment was applied, and suggested a complex cellular regulation, linking the performance of dark fermentation with key functional genes involved in bio-H2 production in presence of the autochthonous consortium, with different roles, time, and mode of expression of the involved hydrogenases.ConclusionsAn applicative outcome of the hydrogenases genes quantitative expression analysis can be foreseen in optimising (on the basis of the acquired functional data) hydrogen production from a nutrient-poor green waste and/or low added value compost, in a perspective of circular bioeconomy.

Draft genome sequence of colistin-resistant and extended-spectrum β-lactamase (ESBL)-producing multidrug-resistant Escherichia coli isolated from poultry meat

The presence of multidrug-resistant bacteria in the food chain represents a major public-health concern and has significant economic repercussions. Here we describe the draft genome sequence of serotype O21:H16, multilocus sequence typing (MLST) ST3270 and ribosomal MLST rST120701, multidrug-resistant Escherichia coli Ch7_4SIAU, which was isolated from poultry meat collected from a local market in Jeddah, Saudi Arabia. Ch7_4SIAU was grown on MacConkey agar and was identified using matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF/MS). An Illumina MiSeq platform was used to generate 2.4 million paired-end reads of 150 bp. The draft genome of Ch7_4SIAU is ∼5.1 Mb with a GC content of ∼50% and contains five plasmid replicons [ColpVC, IncFII, IncHI2, IncI(Gamma) and IncX1]. The isolate is resistant to third- and fourth-generation cephalosporins. It carries the mobile colistin resistance gene mcr-1.1 and the extended-spectrum β-lactamase (ESBL) gene blaCTXM-15 as well as the astA gene encoding enteroaggregative E. coli heat-stable enterotoxin 1 (EAST-1). This report presents the first draft genome of ESBL-positive E. coli isolated from poultry meat in Saudi Arabia. The findings can be used as a reference for genomic epidemiological studies of antimicrobial resistance in Enterobacteriaceae in the local food chain.

Effects of Glycine on the Local Conformation and Internal Backbone Dynamics of Polypeptides

The effects, that glycine (Gly) has on the local chain conformation and internal backbone dynamics (IBD) of polypeptides, were investigated by comparing the fluorescence response of a series of pyr...

Measures to Increase Local Food Supply in the Context of European Framework Scenarios for the Agri-Food Sector

The issue of local food supply has attracted considerable political and public attention, due to the changing preferences of consumers, who have more awareness about ecological sustainability, in particular, but also due to recent developments concerning the COVID-19 pandemic. In order to identify measures facilitating local food value chains, which are resilient to different nationwide and global future developments, the aim of our analysis was to set the identified measures derived from the local roadmap of the city of Graz in the context of European scenarios for the agri-food sector in 2035. The results show that certain measures are applicable under all of the described scenarios, such as the food policy council, whereas some measures—for example, open food labs—are less suitable or need to be adjusted to fit the purpose within changing framework conditions. Setting specific measures for a city region in the broader context of European agri-food scenarios provides a systemic perspective, thus making the multiple links and influences more visible.

Women\u2019s empowerment and gender equality in agricultural value chains: evidence from four countries in Asia and Africa

Women play important roles at different nodes of both agricultural and off-farm value chains, but in many countries their contributions are either underestimated or limited by prevailing societal norms or gender-specific barriers. We use primary data collected in Asia (Bangladesh, Philippines) and Africa (Benin, Malawi) to examine the relationships between women’s empowerment, gender equality, and participation in a variety of local agricultural value chains that comprise the food system. We find that the value chain and the specific node of engagement matter, as do other individual and household characteristics, but in different ways depending on country context. Entrepreneurship—often engaged in by wealthier households with greater ability to take risks—is not necessarily empowering for women; nor is household wealth, as proxied by their asset ownership. Increased involvement in the market is not necessarily correlated with greater gender equality. Education is positively correlated with higher empowerment of both men and women, but the strength of this association varies. Training and extension services are generally positively associated with empowerment but could also exacerbate the inequality in empowerment between men and women in the same household. All in all, culture and context determine whether participation in value chains—and which node of the value chain—is empowering. In designing food systems interventions, care should be taken to consider the social and cultural contexts in which these food systems operate, so that interventions do not exacerbate existing gender inequalities.

Why Localization Is Necessary as a Business Strategy in Emerging Markets: The Case Comparison of Hyundai and Volkswagen

Localization, the process of establishing the most adequate system in the target market according to the given environment to produce the most viable product in the market, can help multinational enterprises (MNE) to better understand the market, and take the most appropriate actions needed. Business strategies in emerging markets must account for the environment’s distinctive characteristics because emerging markets are characterized by underdeveloped institutions, also known as institutional voids. What would be the best strategy to respond to these voids? The primary focus of this article is to investigate how multinational businesses deal with the institutional voids of emerging markets such as the Indian automobile market, and how the different strategies affect the players’ performances. By comparing Hyundai Motors Company and Volkswagen Auto Group’s different strategical approaches, this research demonstrates that better creation of a local value chain and ecosystem leads to better performance in emerging markets. Survival within emerging markets requires thorough market analysis in an institutional context, and rapid response to environmental shifts resulting from institutional voids. Localization can help in both aspects.

Fluorescence Depolarization Kinetics Captures Short-Range Backbone Dihedral Rotations and Long-Range Correlated Dynamics of an Intrinsically Disordered Protein.

Intrinsically disordered proteins (IDPs) do not autonomously fold into well-defined three-dimensional structures and are best described as a heterogeneous ensemble of rapidly interconverting conformers. It is challenging to elucidate their complex dynamic signatures using a single technique. In this study, we employed sensitive fluorescence depolarization kinetics by following picosecond time-resolved fluorescence anisotropy decays to directly capture the essential dynamical features of intrinsically disordered α-synuclein (α-syn) site-specifically labeled with thiol-active fluorophores. By utilizing a long-lifetime (≥10 ns) anisotropic label, we were able to discern three distinct rotational components of α-syn. The subnanosecond component represents the local wobbling-in-cone motion of the fluorophore, whereas the slower (∼1.4 ns) component corresponds to the short-range backbone dynamics governed by collective torsional fluctuations in the Ramachandran Φ-Ψ dihedral space. This backbone dihedral rotational time scale is sensitive to the local chain stiffness and slows down in the presence of an adjacent proline residue. We also observed a small-amplitude (≤10%) slower rotational correlation time (6-10 ns) that represents the long-range correlated dynamics involving a much longer segment of the polypeptide chain. These intrinsic dynamic signatures of IDPs will provide critical mechanistic underpinnings in a mosaic of biophysical phenomena involving internal friction, allosteric interactions, and phase separation.

Insight into morphological, physicochemical and spectroscopic properties of β-chitin nanocrystalline structures

We systematically investigated the effect of β-chitin (BCH) particle size on the preparation of nanocrystals/nanowhiskers (CWH) by acid hydrolysis. Regardless this variable, CWH aqueous suspension exhibited outstanding stability and the average degree of acetylation remained nearly constant after the acid treatment. In contrast, the morphology, dimensions, crystallinity, and molecular weight of CHW were significantly affect by the particle size. Although needle-like crystals have predominated, BCH particles sizes significantly affected the dimensions and asymmetry of CWH, as confirmed by the rheological and NMR relaxation (T2) behaviors. According to different SSNMR approaches, the acid hydrolysis meaningless affected the local chain conformation, while the spatial freedom of BCH intersheets, rated upon the mobility of methyl segments, was taken as evidence of higher permeability of acid into small particle sizes. Thus, this study demonstrated the importance of standardizing the surface/bulk proportions of β-chitin aiming to predict and control the CWH morphology and related properties.

COVID-19 Pandemic Is a Wake-Up Call for Sustainable Local Food Supply Chains: Evidence from Green Restaurants in the USA

The COVID-19 outbreak has forced customers to shift their food habits to more locally grown products. Therefore, restaurants have begun to provide local food, which is reflected in “farm to fork” or “locally-sourced” or “farm to table” restaurants. Thus, purchasing sustainable food, specifically local food products, has become one of the most salient sustainability practices in restaurants. Therefore, this study seeks to further explore the influences of the Sustainable Local Food Supply Chain (SLFSC) of green fine-dining restaurants on tourist food experiences and destination branding in the USA. Data were analyzed using the partial least square (PLS) technique of a sample of 232 respondents. The findings of this study showed positive impacts of all sustainability dimensions on most consumption values of tourists (i.e., emotional, epistemic, health, taste/quality, etc.). The findings indicated that each sustainability dimension and overall sustainability of the local food supply chain had strong positive effects on destination branding. Finally, tourist food experiences in totality mediated the relationship between the overall Sustainable Local Food Supply Chain and destination branding. This study contributes to the existing literature by developing and validating a scale to measure the sustainability practices of local food supply chains in restaurants to fill this gap in the literature. Additionally, the findings have intimate important theoretical and practical implications.

Livelihood challenges and healthcare-seeking behavior of fishermen amidst the COVID-19 pandemic in the Sundarbans mangrove forest of Bangladesh

The outbreak of coronavirus disease (COVID-19) has posed significant challenges to human wellbeing and survival, particularly among groups of people such as the Sundarbans mangrove forest resource-dependent communities (SMFRDCs), and especially the fishermen in these communities, in developing countries like Bangladesh. It is therefore essential to explore the livelihood conditions, health status and care-seeking behavior of the fishermen in these communities during the ongoing pandemic. This study was carried out by applying mixed methods, including interviews and focus group discussion (FGD), in the three sub-districts of Khulna, Satkhira, and Bagerhat, which are in the southwestern region adjacent to the Sundarbans mangrove forest (SMF) of Bangladesh. Quantitative data were collected from 76 fishermen through telephone interviews, while 24 fishermen participated in three distinct focus group discussions. The findings suggest that the fishermen have experienced a reduction of income, as they have been barred from entering the SMF during the pandemic, which has gradually affected their number of trips to and stays at the forest as well as their catch of fisheries resources. The decline in demand in both regional and international markets has left the fishermen with only a handful of alternative ways to adjust to these unprecedented circumstances, such as borrowing money, selling household assets, and in some extreme cases marrying off young children to reduce the financial burden, as many are now jobless. Their financial hardship during the pandemic has affected their households' capacity to afford basic household necessities, including food, fuel, education, and health expenses. Subsequently, when these fishermen suffer ailments such as fever, cough, headache, and cold – the general symptoms of COVID-19 – they cannot seek medical assistance from trained doctors. Their financial constraints have compelled them to rely on indigenous knowledge, in particular village quack doctors, or in some cases to seek help from local pharmacies for modern medicine. Thus, the government should provide financial support and strengthen the local market value chain so that disadvantaged fishermen in SMFRDCs can adopt alternative livelihood opportunities. Furthermore, longitudinal research on the impacts of COVID-19 on livelihood, local adaptation strategies, health status, and care-seeking behavior is also strongly recommended.