All Outputs (3)

Spatio-temporal statistical analysis of PM1 and PM2.5 concentrations and their key influencing factors at Guayaquil city, Ecuador (2022)
Journal Article
Rincon, G., Morantes, G., Roa-López, H., Cornejo-Rodriguez, M. D. P., Jones, B., & Cremades, L. V. (2023). Spatio-temporal statistical analysis of PM1 and PM2.5 concentrations and their key influencing factors at Guayaquil city, Ecuador. Stochastic Environmental Research and Risk Assessment, 37, 1093–1117. https://doi.org/10.1007/s00477-022-02310-2

Guayaquil, Ecuador, is in a tropical area on the equatorial Pacific Ocean coast of South America. Since 2008 the city has been increasing its population, vehicle fleet and manufacturing industries. Within the city there are various industrial and urb... Read More about Spatio-temporal statistical analysis of PM1 and PM2.5 concentrations and their key influencing factors at Guayaquil city, Ecuador.

A population framework for predicting the proportion of people infected by the far-field airborne transmission of SARS-CoV-2 indoors (2022)
Journal Article
Iddon, C., Jones, B., Sharpe, P., Cevik, M., & Fitzgerald, S. (2022). A population framework for predicting the proportion of people infected by the far-field airborne transmission of SARS-CoV-2 indoors. Building and Environment, 221, Article 109309. https://doi.org/10.1016/j.buildenv.2022.109309

The number of occupants in a space influences the risk of far-field airborne transmission of SARS-CoV-2 because the likelihood of having infectious and susceptible people both correlate with the number of occupants. This paper explores the relationsh... Read More about A population framework for predicting the proportion of people infected by the far-field airborne transmission of SARS-CoV-2 indoors.

PM2.5 exceedances and source appointment as inputs for an early warning system (2022)
Journal Article
Rincon, G., Morantes, G., Gonzalez, A., Buitrago, Y., Gonzalez, J. C., Molina, C., & Jones, B. (2022). PM2.5 exceedances and source appointment as inputs for an early warning system. Environmental Geochemistry and Health, 44, 4569-4593. https://doi.org/10.1007/s10653-021-01189-2

Between June 2018 and April 2019, a sampling campaign was carried out to collect PM2.5, monitoring meteorological parameters and anthropogenic events in the Sartenejas Valley, Venezuela. We develop a logistic model for PM2.5 exceedances (≥ 12.5 µg m−... Read More about PM2.5 exceedances and source appointment as inputs for an early warning system.