Assessing Global Pandemic Risks from Emerging Infectious Diseases and High Containment Laboratory Leaks: A Country Level Spatial Network SIR Model Analysis

Abstract Future pandemics could arise from several sources, notably, Emerging Infectious Diseases (EID); and lab leaks from High Containment Biological Laboratories (HCBL). Recent advances in infectious disease, information technology and biotechnology provide building blocks to reduce pandemic risk if deployed intelligently. However, the global nature of infectious diseases, distribution of HCBLs, and increasing complexity of transmission dynamics due to travel networks, make it difficult to determine how to best deploy mitigation efforts. Increasing understanding of the risk landscape posed by EID and HCBL lab leaks could improve risk reduction efforts. The presented paper develops a country level spatial network Susceptible Infected Removed (SIR) model based on global travel network data and relative risk measures of potential origin sources, EID and lab leaks from Biological Safety Level 3+ and 4 labs, to explore expected infections over the first 30 days of a pandemic. Model outputs indicate that for EID and lab leaks India, the US and China are most impacted at day 30. For EID, expected infections shift from high EID origin potential countries at day 10 to the US, India and China, while for lab leaks the US and India start with high lab leak potential. With respect to model uncertainties and limitations, results indicate several large wealthy countries are influential to pandemic risk from both EID and lab leaks indicating high leverage points for mitigation efforts.