A malaria transmission model, OpenMalaria, was used to simulate varying larviciding strategies and their impact on host-seeking mosquito densities, entomological inoculation rate (EIR) and malaria prevalence. Variations in coverage, duration, frequency, and timing of larviciding were simulated for three transmission intensities and four transmission seasonality profiles. Overall, larviciding would be more effective in settings with low and seasonal transmission, and at the beginning and during the peak densities of the target species populations. More operational data and improved calibration would enable models to become a practical tool to support malaria control programmes in developing larviciding strategies that account for the diversity of contexts. Download paper here

Recommended citation: Holden, T.M., Richardson, R.A.K., Arevalo, P., Duffus, W.A., Runge, M., Whitney, E., Wise, L., Ezike, N.O., Patrick, S., Cobey, S., Gerardin, J., 2021. Geographic and demographic heterogeneity of SARS-CoV-2 diagnostic testing in Illinois, USA, March to December 2020. BMC Public Health 21, 1105. https://doi.org/10.1186/s12889-021-11177-x