Datasets from evaluating insecticide resistance across African districts to aid malaria control decisions

The data loaded here were generated by a published geostatistical ensemble model to bridge gaps in the available surveillance data and consider the likelihood that resistance exceeds recommended thresholds. <br><br>We provide spatial data files for: <br>1) district-level weighted means for pyrethroid resistance, <br>2) the maximum pyrethroid resistance value (minimum mortality value) predicted within each district, <br>3) the probability that pyrethroid resistance exceeds the World Health Organization (WHO) threshold for susceptibility, <br>4) the probability that pyrethroid resistance exceeds the World Health Organization (WHO) threshold for confirmed resistance, and <br>5) the probability that pyrethroid resistance falls within the World Health Organization (WHO) range for deployment of PBO-treated nets. <br>These data are all for deltametrin resistance in <i>Anopheles gambiae</i> s.l. in 2017. All of the above files are in shapefile format.<br><br>We also provide spatial data on the overlapping presence of <i>Anopheles gambiae</i> s.l. and the other dominant vector in this region, <i>Anopheles funestus. </i>These files are in GeoTIFF format.<br>All of the above data can be visualised, processed and analysed in a range of geographical information system packages (e.g. ArcGIS and QGIS) or spatial data packages in R (http://cran.r-project.org/web/views/Spatial.html). <br><br>Further information is given in the article that describes this work: Moyes, CL <i>et al</i>. (2020) <b>Evaluating insecticide resistance across African districts to aid malaria control decisions</b>. <i>Proceedings of the National Academy of Science, <b>117</b>, </i>www.pnas.org/cgi/doi/10.1073/pnas.2006781117.

此处加载的数据由已发表的地统计集合模型生成，用于填补现有监测数据的空白，并评估抗药性超出推荐阈值的可能性。

我们提供以下空间数据文件：
1) 拟除虫菊酯抗药性的行政区级加权平均值
2) 各行政区内预测得到的最高拟除虫菊酯抗药性值（对应最低蚊虫死亡率值）
3) 拟除虫菊酯抗药性超过世界卫生组织（World Health Organization, WHO）易感阈值的概率
4) 拟除虫菊酯抗药性超过世界卫生组织（WHO）确认抗药性阈值的概率
5) 拟除虫菊酯抗药性处于世界卫生组织（WHO）推荐使用经胡椒基丁醚（PBO）处理蚊帐的区间内的概率

上述所有数据均为2017年广义冈比亚按蚊（*Anopheles gambiae* s.l.）的溴氰菊酯抗药性数据，所有文件均采用形状文件（shapefile）格式。

此外，我们还提供本区域内广义冈比亚按蚊与另一优势媒介富氏按蚊（*Anopheles funestus*）的重叠分布空间数据，此类文件采用GeoTIFF格式。

上述所有数据均可通过多款地理信息系统（Geographic Information System, GIS）软件（如ArcGIS、QGIS）或R语言空间数据包（http://cran.r-project.org/web/views/Spatial.html）进行可视化、处理与分析。

本研究的详细信息可参阅以下学术论文：Moyes CL 等（2020）《评估非洲各行政区内的杀虫剂抗药性以辅助疟疾防控决策》，《美国国家科学院院刊》（*Proceedings of the National Academy of Science*），第117卷，链接：www.pnas.org/cgi/doi/10.1073/pnas.2006781117