25 April 2024, Preprint v1 · CC-BY 4.0 PREPRINT Research Article Malaria Vector Control in the Electronic Malaria Surveillance Information System (E-SISMAL) Hamzah Hasyim 1 , Asmiani Asmiani 1 , Debby Andhika Putri 1 , Eni Nuraini 1 , Misnaniarti Misnaniarti 1 , Haerawati Idris 1 , Afriyan Firdaus 1 , Rahmat Izwan Heroza 1 , Fadhilah Eka Maharani 2 , Pat Dale 3 1. Universitas Sriwijaya, Indonesia; 2. Independent researcher; 3. Grith University, Australia In the Lahat District of South Sumatra Province, which has not yet been certied for malaria elimination, the 2019 Electronic Malaria Surveillance Information System (E-SISMAL) data revealed signicant shortcomings in malaria vector control. Despite identifying six indigenous malaria cases, there were no recorded eorts towards vector control. This study used a qualitative approach, employing the Context, Input, Process, and Product (CIPP) model to evaluate the eectiveness of malaria vector control strategies using retrospective E-SISMAL data. Seventeen informants were selected through purposive sampling, and data collection involved Focus Group Discussions (FGDs), in-depth interviews, participatory observation, and photovoice. Researchers validated the data using triangulation of methods and sources and performed the analysis using NVivo 12 Plus software. The ndings indicated signicant challenges, notably in human resources with 30 coding references, additional responsibilities of program managers with 23 references, and issues with utilising Operational Health Assistance (BOK) funds cited 22 times. These factors signicantly hindered the Vector Control Program (VCP), which was not running optimally. E-SISMAL reports were limited to case and logistics details, suggesting that the system had not eectively controlled malaria vectors or reported them, highlighting the need for improved strategies and resource management to enhance malaria control in the district. Qeios qeios.com doi.org/10.32388/VNUX85 1