This study examines changes in human-nature relations during pandemic outbreaks.
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Big data analysis was applied to global news related to SARS, Swine flu, MERS, and Ebola.
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Big data analysis can support the analysis of pandemic impacts on cultural ecosystem services.
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Regulating and supporting ecosystem services may be less recognized and valued by the public.
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The media's human-centric views signal a challenge to adapt to nature-based solutions.
Abstract
Pandemic outbreaks can cause diverse impacts on society by altering human-nature relations. This study analyzed these relational changes during the severe acute respiratory syndrome (SARS), Swine flu, Middle East respiratory syndrome (MERS), and Ebola outbreaks by applying machine learning and big data analyses of global news articles. The results showed that social-ecological systems play vital roles in analyzing indirect pandemic impacts. Herein, major pandemic impacts, including reduced use of cultural ecosystem services, can be analyzed by big data analyses at the global scale. All the identified pandemic impacts herein were linked to provisioning and cultural ecosystem services, implying that these ecosystem services might be more recognized or valued more by the public than regulating and supporting ecosystem services. Further, the pandemic impacts were presented with human-centric views, indicating a challenge to adapting nature-based solutions to mitigate the risk of future pandemic emergences. These findings will advance the current knowledge of diverse pandemic impacts and human-nature relations.
