Background: Researchers increasingly use social contact data to inform models for infectious disease spread with the aim of guiding effective policies about disease prevention …
Individual variation in susceptibility and exposure is subject to selection by natural infection, accelerating the acquisition of immunity, and reducing herd immunity thresholds and …
K Prem, AR Cook, M Jit - PLoS computational biology, 2017 - journals.plos.org
Heterogeneities in contact networks have a major effect in determining whether a pathogen can become epidemic or persist at endemic levels. Epidemic models that determine which …
Mathematical and computational modeling approaches are increasingly used as quantitative tools in the analysis and forecasting of infectious disease epidemics. The …
Two zoonotic influenza A viruses (IAV) of global concern, H5N1 and H7N9, exhibit unexplained differences in age distribution of human cases. Using data from all known …
Mathematical models have played a key role in understanding the spread of directly- transmissible infectious diseases such as Coronavirus Disease 2019 (COVID-19), as well as …
The 2019-2020 pandemic of atypical pneumonia (COVID-19) caused by the virus SARS- CoV-2 has spread globally and has the potential to infect large numbers of people in every …
School-closure policies are considered one of the most promising nonpharmaceutical interventions for mitigating seasonal and pandemic influenza. However, their effectiveness …
East Asia is as a principal hotspot for emerging zoonotic infections. Understanding the likely pathways for their emergence and spread requires knowledge on human-human and …