# Spatial and spatio-temporal analysis for malaria hotspot identification: a scoping review protocol

## TL;DR

This paper outlines a scoping review protocol to identify and summarize spatial and spatio-temporal methods used for detecting malaria hotspots.

## Contribution

The study introduces a systematic approach to synthesize diverse methods for malaria hotspot detection and highlight research gaps.

## Key findings

- The review will include empirical studies using spatial or spatio-temporal methods for malaria hotspot detection.
- It will use the Joanna Briggs Institute Framework and PRISMA-ScR checklist for transparency and rigor.

## Abstract

Malaria hotspots have been the focus of public health managers during the last two decades because of the potential elimination gains that can be obtained by targeting them. Advances in spatial technologies in the 20th century such as geographic information systems, remotely sensed satellite data on climate and ecology, and statistical methods for spatial cluster detection have enhanced our ability to map fine-scale patterns of malaria transmission. This led to the diversification of analytical approaches and a lack of consensus on methods and standardised indicators for malaria hotspot detection, raising challenges for comparing and synthesising findings across different studies. This review aims to fill this gap by identifying and summarising all publicly available peer-reviewed articles on spatial and spatio-temporal analytical approaches used to detect malaria hotspots while highlighting research gaps.

This scoping review will follow the Joanna Briggs Institute Framework. A comprehensive search will be conducted in PubMed, Medline, Web of Science, Scopus and Embase using keywords related to malaria, hotspots and detection. Retrieved articles published between 1 January 2000 and 31 December 2024 in English or French will be uploaded to Covidence for screening. Empirical studies that apply spatial or spatio-temporal analytical methods to detect malaria hotspots will be included. Studies will be excluded if they rely solely on geographical visualisation without formal spatial analysis. Data extraction will be performed by two independent reviewers, with disagreements resolved by discussion. Data will be summarised using descriptive statistics and thematic analysis.

This scoping review will involve the secondary analysis of published literature on malaria hotspot analysis; therefore, ethics approval is not required. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews checklist will be used to ensure transparency and methodological rigour in reporting. The findings will be disseminated through publication in a peer-reviewed journal and presented at scientific conferences via abstracts, oral or poster presentations.

This review has been registered on the Open Science Framework under the DOI: https://doi.org/10.17605/OSF.IO/C8KUN.