Planetary health & COVID-19: A multi-perspective investigation

COVID-19 can be characterized as an outcome of degraded planetary health drivers in complex systems and has wide-reaching implications in social, economic and environmental realms. To understand the drivers of planetary health that have influences of emergence and spread of COVID-19 and their implications for sustainability systems thinking and narrative literature review is deployed. In particular, sixteen planetary health drivers are identified, i.e., population growth, climate change, agricultural intensification, urbanization, land use and land cover change, deforestation, biodiversity loss, globalization, wildlife trade, wet markets, non-planetary health diet, antimicrobial resistance, air pollution, water stress, poverty and weak governance. The implications of COVID-19 for planetary health are grouped in six categories: social, economic, environmental, technological, political, and public health. The implications for planetary health are then judged to see the impacts with respect to sustainable development goals (SDGs). The paper indicates that sustainable development goals are being hampered due to the planetary health implications of COVID-19.

The evolution of R&D collaboration in inter-organizational project networks: Effects of reference points for competitive preference

This study examines the evolution of R&D collaboration in inter-organizational project networks by simulating the play of an appropriate game model. We assume that players display reference-dependent competitive preferences, in that each player’s utility is the sum of a material payoff and a subjective utility that depends on the difference between her material payoff and those of her neighbors. Some players, called max-players, are aggressively competitive, comparing their payoffs to the maximum payoff of their neighbors;the others, called min-players, are prudent, comparing their payoffs to their neighbors’ minimum. In each period, a player decides whether to share a high level or a low level of knowledge with her neighbors. We find that the mean collaboration level across the network decreases as a parameter representing the ability to make use of a partner’s knowledge increases. When the majority of decision-makers are min-players, a higher competitive preference intensity induces greater average collaboration, but the level of collaboration decreases as preference heterogeneity increases. In contrast, a high intensity of competitive preference prevents the diffusion of collaboration when most decision-makers are max-players, and increased competitive preference heterogeneity leads to greater collaboration. Furthermore, increasing the fraction of max-players leads to a decrease in the total payoff of the entire network. Collaboration in an inter-organizational network is more robust when most decision-makers are max-players. Nonetheless, max-players and min-players are equally likely to collaborate when either type is in the majority.

COVID-19's implications on agri-food systems and human health in Bangladesh.

The COVID-19 pandemic in Bangladesh has put agri-food systems and resultant human health under serious pressure and this has thus become a priority concern for the country and its development partners. To understand, describe and analyse the impacts of COVID-19 on agri-food systems, human health issues and related SDGs, this study used systematic rapid literature review, analysis of blogs and news and engagement with key informants. The analysis reveals impacts that can be addressed through a set of recommendations for a coordinated effort to minimize the effects of the COVID-19 pandemic on agri-food systems and related health issues in Bangladesh.