Will the mental disorder from reinfection diminish due to the previous infection experience, or will it accumulate? What roles do the number of infections, the time interval between the previous infection, and the transition between different diseases play in the process?
To what extent does multi-hazard early warning help resist extreme weather? What is the combined effect of multi-level warnings when facing tropical cyclones of varying intensities?
How does human activity change wildfire patterns globally? How to disentangle the separated roles of human activity from the climate? A natural experiment would be a good solution.
How physical and social connections jointly shape the spread of infectious disease? What knowledge can we learn from social scientists, network scientists, and epidemiologists? What are the promising strategies for an integrated disease modelling in the future?
What are the mental benefits of vaccination beyond its physical protection? How can we gain fast, large-scale evidence beyond traditional surveys? A quasi-experimental design on social media can provide an answer.
What is the added value of digital mobile health (mHealth) in identifying and isolating people at risk compared with traditional contact tracing? How would infections spill over across regions with delayed or without mHealth?
How does the COVID-19 pandemic disturb scientists' work and their collaborations? To what extent did international collaborations decline due to global lockdowns? Which regions and subjects suffer the most?
Can geostatistical models or machine learning better capture population dynamics? Which performs better under different data availability? How can their strengths be integrated for more precise dynamic population modelling?