ArticlePloS one2017
A spatial predictive model for malaria resurgence in central Greece integrating entomological, environmental and social data.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Predicting the risk of malaria re-introduction in countries certified malaria-free: a systematic review.Malaria journal · 2023Pooled it
- Updated occurrence and bionomics of potential malaria vectors in Europe: a systematic review (2000-2021).Parasites & vectors · 2022Pooled it
- Assessment of Long-Term Sequelae After Severe Malaria: A Retrospective Study.Pathogens (Basel, Switzerland) · 2026Article
- A global mathematical model of climatic suitability for Plasmodium falciparum malaria.Malaria journal · 2024Article
- Towards a Semi-Automatic Early Warning System for Vector-Borne Diseases.International journal of environmental research and public health · 2021Article
- Re-introduction of vivax malaria in a temperate area (Moscow region, Russia): a geographic investigation.Malaria journal · 2020Article
- A framework for assessing local transmission risk of imported malaria cases.Infectious diseases of poverty · 2019Article
- Forecasting Zoonotic Infectious Disease Response to Climate Change: Mosquito Vectors and a Changing Environment.Veterinary sciences · 2019Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malaria constitutes an important cause of human mortality. After 2009 Greece experienced a resurgence of malaria. Here, we develop a model-based framework that integrates entomological, geographical, social and environmental evidence in order to guide the mosquito control efforts and apply this framework to data from an entomological survey study conducted in Central Greece. Our results indicate that malaria transmission risk in Greece is potentially substantial. In addition, specific districts such as seaside, lakeside and rice field regions appear to represent potential malaria hotspots in Central Greece. We found that appropriate maps depicting the basic reproduction number, R0, are useful tools for informing policy makers on the risk of malaria resurgence and can serve as a guide to inform recommendations regarding control measures.
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Registered trials
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