ArticleThe Lancet regional health. Southeast Asia2022
Quantifying spatial heterogeneity of malaria in the endemic Papua region of Indonesia: Analysis of epidemiological surveillance data.
Article in The Lancet regional health. Southeast Asia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Characterisation of between-cluster heterogeneity in malaria cluster randomised trials to inform future sample size calculations.Nature communications · 2025Pooled it
- Targeted Drug Administration to Reduce Malaria Transmission: A Systematic Review and Meta-Analysis.The American journal of tropical medicine and hygiene · 2024Pooled it
- Spatial heterogeneity and tendency prediction of a community transmission model with HIV detection.Infectious Disease Modelling · 2026Article
- Effect of higher dose primaquine for the radical cure ofThe Lancet regional health. Western Pacific · 2026Article
- Knowledge, attitudes, and practices related to spatial repellent for mosquito control and malaria risk perception in East Sumba, Indonesia.PLOS global public health · 2026Article
- Article
- Characterization of entomological drivers of malaria transmission in five villages, Keerom Regency, Papua, Indonesia.PloS one · 2026Article
- Spatiotemporal trends in P. falciparum malaria and identification of high-risk villages in Eastern Myanmar: an 8-year observational study.Scientific reports · 2025Observational
- The resurgence of malaria in Northern Iran in 2023: a wake-up call.BMC infectious diseases · 2025Article
- Spatial and spatio-temporal analysis for malaria hotspot identification: a scoping review protocol.BMJ open · 2025Article
- Cryptic absence and genetic variation of Plasmodium falciparum PfHRP2 and PfHRP3 from isolates in Papua, Indonesia.Scientific reports · 2025Article
- The impact of the malaria centre program on malaria incidence in Papua Province.Public health in practice (Oxford, England) · 2025Article
- Population genetics ofFrontiers in genetics · 2025Article
- Spatial analysis of malaria cases and Anopheles species in East Java region, Indonesia.Tropical medicine and health · 2024Article
- Brugada syndrome precipitated by uncomplicated malaria treated with dihydroartemisinin piperaquine: a case report.Malaria journal · 2024Article
- Examining geographical inequalities for malaria outcomes and spending on malaria in 40 malaria-endemic countries, 2010-2020.Malaria journal · 2024Article
- Reactive Case Detection Strategy for Malaria Control and Elimination: A 12 Year Systematic Review and Meta-Analysis from 25 Malaria-Endemic Countries.Tropical medicine and infectious disease · 2023Review
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20 authors.
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Abstract
Background: As control efforts progress towards elimination, malaria is likely to become more spatially concentrated in few local areas. The purpose of this study was to quantify and characterise spatial heterogeneity in malaria transmission-intensity across highly endemic Indonesian Papua. Methods: We analysed individual-level malaria surveillance data for nearly half a million cases (2019-2020) reported in the Papua and West Papua provinces and adapted the Gini index approach to quantify spatial heterogeneity at the district and health-unit levels. In this context, high Gini index implies disproportionately distributed malaria cases across the region. We showed malaria incidence trends and the spatial and temporal distribution of sociodemographic characteristics and aetiological parasites among cases. Findings: While Papua province accounted for the majority of malaria cases reported in the region and had seen a rise in transmission since 2015, West Papua province had maintained a comparatively low incidence. We observed that Gini index estimates were high, particularly when the lower spatial scale of health units was evaluated. The Gini index appears to be inversely associated to annual parasite-incidence, as well as the proportions of vivax malaria, male sex, and adults. Interpretation: This study suggests that areas with varying levels of transmission-intensities exhibited distinct characteristics. Malaria was distributed in a markedly disproportionate manner throughout the region, emphasising the need for spatially targeted interventions. Periodic quantification and characterisation of risk heterogeneity at various spatial levels using routine malaria surveillance data may aid in tracking progress towards elimination and guiding evidence-informed prioritisation of resource allocation. Funding: The study was funded by the Australian Government Department of Foreign Affairs and Trade Indo-Pacific Centre for Health Security through the Strengthening Preparedness in the Asia-Pacific Region through Knowledge (SPARK) project.
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