ArticleTropical medicine and infectious disease2022
The Use of Spatial Video to Map Dynamic and Challenging Environments: A Case Study of Cholera Risk in the Mujoga Relief Camp, D.R.C.
Article in Tropical medicine and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Cholera in North Kivu: impacts of armed conflict on the resurgence of the epidemic, a narrative review.Annals of medicine and surgery (2012) · 2025Review
- Social dynamics influencing cholera risk in the City of Goma, Democratic Republic of Congo: a qualitative study.BMC public health · 2025Article
- Cholera risk in Goma, DR Congo, after forced clearing of relief camps.Lancet (London, England) · 2025Article
- Using spatial video and deep learning for automated mapping of ground-level context in relief camps.International journal of health geographics · 2024Article
- Geospatial Health (GeoHealth): Current Trends, Methods, and Applications.Tropical medicine and infectious disease · 2023Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
In this paper, we provide an overview of how spatial video data collection enriched with contextual mapping can be used as a universal tool to investigate sub-neighborhood scale health risks, including cholera, in challenging environments. To illustrate the method's flexibility, we consider the life cycle of the Mujoga relief camp set up after the Nyiragongo volcanic eruption in the Democratic Republic of Congo on 22 May 2021. More specifically we investigate how these methods have captured the deteriorating conditions in a camp which is also experiencing lab-confirmed cholera cases. Spatial video data are collected every month from June 2021 to March 2022. These coordinate-tagged images are used to make monthly camp maps, which are then returned to the field teams for added contextual insights. At the same time, a zoom-based geonarrative is used to discuss the camp's changes, including the cessation of free water supplies and the visible deterioration of toilet facilities. The paper concludes by highlighting the next data science advances to be made with SV mapping, including machine learning to automatically identify and map risks, and how these are already being applied in Mujoga.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.