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）大流行所带来的影响仍出乎预料。基于科学依据制定决策的需求，正推动相关研究以阐明寨卡病毒的出现与传播规律。为支撑该类研究，我们构建了一套用于建模哥伦比亚境内寨卡病毒传播动态的关键协变量数据集。哥伦比亚境内寨卡病毒传播范围广泛，且该国政府已将发病数据公开。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上，整合了时空维度的寨卡发病数据、9项环境变量与人口统计数据，形成可单独下载的统一数据库。本研究构建的全新数据集，以及我们以匹配的时空分辨率识别、处理并汇编的其他相关数据集，将为后续研究人员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核心发现。类似的研究方法可为填补数据空白提供助力，从而支持未来针对新发传染病的流行病学分析工作。