Data from: Efficacy of long-lasting insecticide-incorporated netting in controlling preharvest and postharvest pest insects: a meta-analysis study

This dataset aims to provide a comprehensive analysis of existing literature on the utilization of LLINs in the management of pre- and postharvest pest insect species (excluding those in urban systems and vectors). By synthesizing findings from a broad spectrum of studies, we aim to discern patterns relative to system and experimental design and develop a new synthesized understanding of the effectiveness of LLINs in agriculture. Moreover, our dataset intends to identify and address gaps in current knowledge. Through a meta-analytical approach, this review aims to distill key insights that can inform future research directions, and practical applications in the integrated management programs of pre- and postharvest insect pests.The goal of this dataset is to understand the efficacy of long-lasting insecticide netting in agriculture. We used databases such as Web of Science, Scopus, and Google Scholar to find studies related to LLIN. First, we carried out a literature search on the topic of insecticide netting. We used various Keyword combinations to identify a broad initial dataset, including various terms such as ‘netting’, ‘LLIN’ ‘insecticide netting’ in combination with either ‘insects’, ‘preharvest’, ‘postharvest’, and ‘agriculture’. Papers were individually checked to ensure they met criteria for inclusion in the meta-analysis, which included that 1) articles were published between 1990–2024, 2) the focus was on agricultural crops (not urban systems or vectored diseases), 3) netting was not solely used for exclusion (e.g., in the absence of an insecticidal ingredient), and 4) included a proper negative or stakeholder standard control. At the end, this left us with a total of 44 peer-reviewed publications (23 postharvest + 22 preharvest studies, one common study for pre and postharvest insects) with 285 data points on the efficacy of LLINs in agriculture. However, an additional required criterion was that all studies needed to present means, standard errors, and samples sizes for both controls and LLIN treatment. After this additional criterion, there was a final total of 31 peer-reviewed publications (19 postharvest + 12 preharvest studies). Additionally, potential publication bias was assessed by using funnel plots, and statistical tests were evaluated.

本数据集旨在对现有关于在农作物病虫害（不包括城市系统和媒介生物）的管理中利用长效杀虫剂网（LLINs）的文献进行全面的综合分析。通过综合广泛研究的结果，我们旨在揭示与系统设计和实验设计相关的模式，并形成对LLINs在农业中有效性的新综合理解。此外，我们的数据集旨在识别和解决现有知识的空白。通过元分析方法，本综述旨在提炼出能够指导未来研究方向和前、后收获害虫综合管理程序中实际应用的要点洞见。本数据集的目标在于理解长效杀虫网在农业中的有效性。我们利用Web of Science、Scopus和Google Scholar等数据库寻找与LLIN相关的文献。首先，我们对杀虫网的主题进行了文献检索。我们使用多种关键词组合来确定广泛的初始数据集，包括诸如‘网状结构’、‘LLIN’、‘杀虫网’等术语，与‘昆虫’、‘收获前’、‘收获后’和‘农业’等术语结合使用。对论文进行逐一检查，以确保它们符合元分析纳入标准，包括：1）文章发表于1990年至2024年之间；2）研究重点为农作物（不包括城市系统或媒介性疾病）；3）网状结构非仅用于驱除（例如，在没有杀虫成分的情况下）；4）包含适当的负面或利益相关者标准对照。最终，这使我们拥有总计44篇同行评审出版物（23项收获后研究+22项收获前研究，一项关于收获前后昆虫的共同研究），涉及285个关于LLINs在农业中有效性的数据点。然而，一个额外的必要标准是，所有研究都需要呈现对照和LLIN处理的平均值、标准误差和样本大小。在此额外标准之后，最终总计31篇同行评审出版物（19项收获后研究+12项收获前研究）。此外，通过使用漏斗图评估潜在的发表偏差，并评估统计测试。