Yoshinori Nakazawa

TL;DR: This work compared 16 modelling methods over 226 species from 6 regions of the world, creating the most comprehensive set of model comparisons to date and found that presence-only data were effective for modelling species' distributions for many species and regions.

TL;DR: It is shown that models based on the ‘bioclimatic variables’ of the WorldClim data set indeed fail to predict the full invasive potential of the fire ants, but that Models based on four other data sets could predict this potential correctly.

TL;DR: An informal consultation on monkeypox was hosted with researchers, global health partners, ministries of health, and orthopoxvirus experts to review and discuss human monkeypox in African countries where cases have been recently detected and also identify components of surveillance and response that need improvement.

TL;DR: W Whole genome sequencing showed that the virus was consistent with a strain of Monkeypox virus known to circulate in Nigeria, but the specific source of the patient's infection was not identified.

TL;DR: This work used ecological niche modeling via a genetic algorithm to produce time-specific predictive models of monthly distributions of Aedes aegypti in Mexico in 1995, indicating that predicting spatiotemporal dynamics of disease vector species is feasible and provides new potential for optimizing use of resources for disease prevention and remediation via automated forecasting of disease transmission risk.