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抢救大量隐藏的生态数据以应对新出现的蚊媒疾病。

Rescuing Troves of Hidden Ecological Data to Tackle Emerging Mosquito-Borne Diseases.

作者信息

Rund Samuel S C, Moise Imelda K, Beier John C, Martinez Micaela Elvira

出版信息

J Am Mosq Control Assoc. 2019 Mar;35(1):75-83. doi: 10.2987/18-6781.1.

DOI:10.2987/18-6781.1
PMID:31442186
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6709599/
Abstract

Despite the major impact of mosquitoes on human health, knowledge gaps exist regarding their natural population dynamics. Even the most basic information-such as spatiotemporal abundance-is mostly unavailable. In the USA, municipalities have created agencies for mosquito control and monitoring, yet no national open-access repository for mosquito surveillance data exists. Vectors, and the pathogens they transmit, know no jurisdictions. We identify >1,000 mosquito control agencies and identify those which make their population abundance surveillance data publicly available. We directly survey Floridian mosquito districts to estimate, from one state alone, the potential amount of hidden data. We generate a large, standardized data set from publicly available online data and demonstrate that spatiotemporal population abundance can be reconstructed and analyzed across data generators. We propose that the ensemble of US mosquito control agencies can, and should, be used to develop a national-and potentially international-open-access repository of mosquito surveillance data, generating the data capital needed to gain a mechanistic understanding of vector population dynamics, and identify existing digital infrastructure that could be leveraged for digitizing and collating extant and future surveillance data for such a repository.

摘要

尽管蚊子对人类健康有重大影响,但关于它们的自然种群动态仍存在知识空白。即使是最基本的信息,如时空丰度,大多也无法获取。在美国,各市政当局已设立了蚊虫控制和监测机构,但尚无全国性的蚊虫监测数据开放获取库。病媒及其传播的病原体不受管辖限制。我们识别出1000多个蚊虫控制机构,并找出那些将其种群丰度监测数据公开的机构。我们直接调查佛罗里达州的蚊虫防治区,仅从一个州估算隐藏数据的潜在数量。我们从公开的在线数据中生成了一个大型标准化数据集,并证明可以跨数据生成器重建和分析时空种群丰度。我们提议,美国蚊虫控制机构的集合能够且应该用于建立一个全国性的——甚至可能是国际性的——蚊虫监测数据开放获取库,生成获得对病媒种群动态的机理理解所需的数据资本,并识别可用于为此类库数字化和整理现有及未来监测数据的现有数字基础设施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39c0/6709599/683f31b176af/nihms-1041188-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39c0/6709599/26890d72ed9a/nihms-1041188-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39c0/6709599/683f31b176af/nihms-1041188-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39c0/6709599/26890d72ed9a/nihms-1041188-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39c0/6709599/683f31b176af/nihms-1041188-f0002.jpg

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