medRxiv preprint doi: https://doi.org/10.1101/2020.06.30.20143248; this version posted July 1, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . 1 1 Title: Quantifying arbovirus disease and transmission risk at the municipality 2 level in the Dominican Republic: the inception of Rm 3 Short title: Epidemic Metrics for Municipalities 4 Rhys Kingston1, Isobel Routledge1, Samir Bhatt1, Leigh R Bowman1* 5 1. Department of Infectious Disease Epidemiology, Imperial College London, UK 6 *Corresponding author 7
[email protected] 8 9 NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. 1 medRxiv preprint doi: https://doi.org/10.1101/2020.06.30.20143248; this version posted July 1, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . 2 10 Abstract 11 Arboviruses remain a significant cause of morbidity, mortality and economic cost 12 across the global human population. Epidemics of arboviral disease, such as Zika 13 and dengue, also cause significant disruption to health services at local and national 14 levels. This study examined 2014-16 Zika and dengue epidemic data at the sub- 15 national level to characterise transmission across the Dominican Republic.