Influenza D virus (IDV) has been identified in several continents, with serological evidence for the virus in Africa. In order to improve the sensitivity and cost-benefit of IDV surveillance in Togo, risk maps were drawn using a spatial multicriteria decision analysis (MCDA) and experts' opinion to evaluate the relevance of sampling areas used so far. Areas at highest risk of IDV occurrence were the main cattle markets. The maps were evaluated with previous field surveillance data collected in Togo between 2017 and 2019: 1216 sera from cattle, small ruminants, and swine were screened for antibodies to IDV by hemagglutination inhibition (HI) assays. While further samples collections are needed to validate the maps, the risk maps resulting from the spatial MCDA approach generated here highlight several priority areas for IDV circulation assessment.

中文翻译：

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使用空间多准则决策分析方法在多哥的反刍动物和猪中发生D型流感病毒的风险图。

已经在几大洲发现了D型流感病毒（IDV），并在非洲发现了该病毒的血清学证据。为了提高多哥IDV监测的敏感性和成本效益，使用空间多准则决策分析（MCDA）和专家的意见绘制了风险图，以评估迄今为止使用的采样区域的相关性。发生IDV风险最高的地区是主要的牛市。使用2017年至2019年在多哥收集的先前现场监测数据对地图进行了评估：通过血凝抑制（HI）分析筛选了来自牛，小反刍动物和猪的1216血清中的IDV抗体。虽然需要进一步收集样本以验证地图，