Data from: Spatiotemporal incidence of Zika and associated environmental drivers for the 2015-2016 epidemic in Colombia

Despite a long history of mosquito-borne virus epidemics in the Americas, the impact of the Zika virus (ZIKV) epidemic of 2015-2016 was unexpected. The need for scientifically informed decision-making is driving research to understand the emergence and spread of ZIKV. To support that research, we assembled a data set of key covariates for modeling ZIKV transmission dynamics in Colombia, where ZIKV transmission was widespread and the government made incidence data publically available. On a weekly basis between January 1, 2014 and October 1, 2016 at three administrative levels, we collated spatiotemporal Zika incidence data, nine environmental variables, and demographic data into a single downloadable database. These new datasets and those we identified, processed, and assembled at comparable spatial and temporal resolutions will save future researchers considerable time and effort in performing these data processing steps, enabling them to focus instead on extracting epidemiological insights from this important data set. Similar approaches could prove useful for filling data gaps to enable epidemiological analyses of future disease emergence events.尽管美洲地区已有悠久的蚊媒病毒流行病历史，但2015-2016年的寨卡病毒（Zika virus, ZIKV）大流行所造成的影响仍出人意料。为开展科学决策导向的研究工作，学界亟需深入阐明寨卡病毒的出现与传播机制。为支撑此类研究，我们构建了一套用于哥伦比亚境内寨卡病毒传播动力学建模的关键协变量数据集——该国寨卡病毒传播范围广泛，且政府已将发病数据对外公开。我们于2014年1月1日至2016年10月1日期间，按周在三级行政层级下，整合了时空分布的寨卡病毒发病数据、9项环境变量数据与人口统计数据，构建为可单一下载的统一数据库。本数据集与我们以相近时空分辨率识别、处理并整合的其他相关数据集，将为后续研究者省去大量数据预处理的时间与精力，使其能够专注于从这一重要数据集中挖掘流行病学相关的关键发现。类似的数据整合方法也可用于填补数据空白，为未来新发传染病的流行病学分析提供有力支撑。