# A geo-enabled digital tool for microplanning and delivery of indoor residual spray in Zambia: A case study, 2016–2020

## TL;DR

A digital tool called Reveal helped improve the accuracy of indoor spraying for malaria control in Zambia by using satellite data and mobile apps.

## Contribution

The study introduces a digital tool for IRS microplanning and monitoring that improves coverage estimation using satellite imagery and field data.

## Key findings

- District-level IRS coverage was overestimated by an average of 31.5 percentage points compared to true adjusted coverage.
- The odds of finding and spraying structures doubled in the fourth year of Reveal implementation compared to the first year.
- Digital tools like Reveal can improve IRS campaign planning and coverage accuracy over time.

## Abstract

Indoor residual spraying (IRS) is a vector control tool recommended by the WHO in areas of high malaria burden. Effective IRS implementation is complicated when up-to-date and accurate counts of structures eligible for IRS are unavailable; resultingly, programmatic spray coverage is typically calculated as the proportion of found structures that are sprayed. From 2016 – 2020 in Zambia, an open-source tool termed “Reveal,” was used to support digital mapping, microplanning, campaign monitoring and evaluation of IRS. Satellite imagery was used to enumerate structures and identify “spray areas,” clusters of structures for operational planning. Spray areas were visualized in the Reveal tool web-based planning module where campaign planners selected which would be sprayed and determined the resources required. Field teams used the Reveal tool mobile application to navigate and to record spray data against each structure. True coverage was calculated as the proportion of enumerated structures that were sprayed. Reveal was implemented in 21 districts across five years and coverage is reported for each district and year. Logistic regression models explored whether structures were more or less likely to be found and sprayed depending on a given calendar year’s targeting strategy, partner support level, and the year of Reveal implementation in a given district (first, second, third, or fourth). District-level programmatic IRS coverages overestimated the true adjusted coverages by an average 31.5 percentage points (range 2.8 - 69.4). The odds of finding and spraying structures increased with year of implementation; in the fourth year of implementation in a district, the odds of a household being sprayed and found were two times higher than in the first year of implementation. Digital tools improve structure and population estimates for planning and deployments in IRS campaigns, which may lead to more accurate coverage measurements and increased coverage over time.