ArticleScientific reports2022
Spatiotemporal mapping of malaria incidence in Sudan using routine surveillance data.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24 citing papers in PubMed, 41 citations in OpenAlex.
- Modeling the impact of war, interventions, and funding on malaria transmission dynamics in Sudan.BMC infectious diseases · 2026Article
- Impact of the 2023-armed conflict on routine malaria imapact indicators in Sudan (January 2020-March 2025): a mixed-methods analysis of surveillance data.Malaria journal · 2026Article
- Characterisation of malaria and glucose-6-phosphate dehydrogenase deficiency in conflict-affected zones of southern and eastern Sudan.BMC infectious diseases · 2026Article
- Public awareness and education: key to the success of the malaria vaccine rollout in Sudan.BMJ global health · 2026Article
- Assessment of parental knowledge, attitude, and acceptance toward malaria vaccine for children under five years in Sudan, 2025.BMC public health · 2026Article
- Sudan's complex genetic admixture history drives adaptation to malaria in Sudanese Copts.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Prevalence, Associated Risk Factors, and the Impact of Malaria on Anemia in Pregnant Women Attending ANC in North Gondar Zone, Northern Ethiopia.BioMed research international · 2026Article
- Epidemiological trends of malaria in Sennar State, Sudan.Malaria journal · 2025Article
- Assessment of Cytokines TNF-alpha, IFN-gamma, TGF-beta-1, and IL-10 in Malaria Patients of the River Nile State , Sudan: A critical study of immune response.BMC immunology · 2025Article
- Imported Malaria Outbreak in Military Personnel Returning from Peacekeeping Operation in South Sudan - Thailand, 2023.The American journal of tropical medicine and hygiene · 2025Article
- Integrating vulnerability and hazard in malaria risk mapping: the elimination context of Senegal.BMC infectious diseases · 2025Article
- Article
- Emergence ofNew microbes and new infections · 2025Article
- High Prevalence of Artemisinin-Resistant Plasmodium falciparum, Southeastern Sudan.Emerging infectious diseases · 2025Article
- Predictive Modeling of Global SARS-CoV-2 Infection Risk in Animals: Unveiling Potential Reservoirs and Informing Health Policy Synergies.Transboundary and emerging diseases · 2025Article
- Spatio-temporal characterization of malaria prevalence in a peri-urban resource limited setting of Western Kenya Highlands.African health sciences · 2024Article
- Severe coinfection of dengue and malaria: A case report.Clinical case reports · 2024Article
- Article
- The firstClinical case reports · 2023Article
- Rift Valley fever and malaria co-infection: A case report.Clinical case reports · 2023Article
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Authors and funding
12 authors at 4 institutions in 3 countries.
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Abstract
Malaria is a serious threat to global health, with over [Formula: see text] of the cases reported in 2020 by the World Health Organization in African countries, including Sudan. Sudan is a low-income country with a limited healthcare system and a substantial burden of malaria. The epidemiology of malaria in Sudan is rapidly changing due to factors including the rapidly developing resistance to drugs and insecticides among the parasites and vectors, respectively; the growing population living in humanitarian settings due to political instability; and the recent emergence of Anopheles stephensi in the country. These factors contribute to changes in the distribution of the parasites species as well as malaria vectors in Sudan, and the shifting patterns of malaria epidemiology underscore the need for investment in improved situational awareness, early preparedness, and a national prevention and control strategy that is updated, evidence based, and proactive. A key component of this strategy is accurate, high-resolution endemicity maps of species-specific malaria. Here, we present a spatiotemporal Bayesian model, developed in collaboration with the Sudanese Ministry of Health, that predicts a fine-scale (1 km [Formula: see text] 1 km) clinical incidence and seasonality profiles for Plasmodium falciparum and Plasmodium vivax across the country. We use monthly malaria case counts for both species collected via routine surveillance between January 2017 and December 2019, as well as a suite of high-resolution environmental covariates to inform our predictions. These epidemiological maps provide a useful resource for strategic planning and cost-effective implementation of malaria interventions, thus informing policymakers in Sudan to achieve success in malaria control and elimination.
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