TY - JOUR T1 - Tracking progress towards malaria elimination in China: estimates of reproduction numbers and their spatiotemporal variation JF - bioRxiv DO - 10.1101/628842 SP - 628842 AU - Isobel Routledge AU - Shengjie Lai AU - Katherine E Battle AU - Azra C Ghani AU - Manuel Gomez-Rodriguez AU - Kyle B Gustafson AU - Swapnil Mishra AU - Joshua L Proctor AU - Andrew J Tatem AU - Zhongjie Li AU - Samir Bhatt Y1 - 2019/01/01 UR - http://biorxiv.org/content/early/2019/05/10/628842.abstract N2 - China reported zero locally-acquired malaria cases in 2017 and 2018. Understanding the spatio-temporal pattern underlying this decline, especially the relationship between locally-acquired and imported cases, can inform efforts to maintain elimination and prevent re-emergence. This is particularly pertinent in Yunnan province, where the potential for local transmission is highest. Using a geo-located individual-level dataset of cases recorded in Yunnan province between 2011 and 2016, we jointly estimate the case reproduction number, Rc, and the number of unobserved sources of infection. We use these estimates within spatio-temporal geostatistical models to map how transmission varied over time and space, estimate the timeline to elimination and the risk of resurgence. Our estimates suggest that, maintaining current intervention efforts, Yunnan is unlikely to experience sustained local transmission up to 2020. However, even with a mean Rc of 0.005 projected for the year 2019, locally-acquired cases are possible due to high levels of importation. ER -