Predicting the habitat suitability of Schistosoma intermediate host Bulinus truncatus, its predatory aquatic insect Odonata nymph, and the associated aquatic plant Ceratophyllum demersum using MaxEnt

Theodor Bilharz Research Institute

Bibliographic Information

Authors: Mahmoud M.M.; Younes A.A.; El-Sherif H.A.; Gawish F.A.; Habib M.R.; Kamel M.

Journal: Parasitology Research

Publisher: Springer Science and Business Media Deutschland GmbH

Publication Date: 4 January 2022

Volume / Issue: Volume 121 / Issue 1

Pages: 205–216

ISSN: 9320113

DOI: 10.1007/s00436-021-07392-5

Scopus: View on Scopus

PubMed: 34981215

Document Type: Article

Authors and Affiliations

Mahmoud M.M., Department of Entomology, Faculty of Science, Cairo University, Giza, Egypt, Department of Medical Malacology, Theodor Bilharz Research Institute, Giza, Egypt; Younes A.A., Department of Entomology, Faculty of Science, Cairo University, Giza, Egypt; El-Sherif H.A., Department of Entomology, Faculty of Science, Cairo University, Giza, Egypt; Gawish F.A., Department of Medical Malacology, Theodor Bilharz Research Institute, Giza, Egypt; Habib M.R., Department of Medical Malacology, Theodor Bilharz Research Institute, Giza, Egypt; Kamel M., Department of Environmental Basic Sciences, Institute of Environmental Studies and Research, Ain Shams University, Cairo, Egypt

Abstract

Schistosomiasis is one of the most important parasitic diseases in tropical and subtropical areas. Its prevalence is associated with the distribution of freshwater snails, which are their intermediate hosts. Thus, control of freshwater snails is the solution to reduce the transmission of this disease. This will be achieved by understanding the relationship between the snails and their habitats including natural enemies and associated aquatic plants as well as the factors affecting their distribution. In this study, Maximum Entropy model (MaxEnt) was used for mapping and predicting the possible geographic distribution of Bulinus truncatus snail (the intermediate host of Schistosoma haematobium), Odonata nymph (predatory aquatic insect), and Ceratophyllum demersum (the associated aquatic plant) in Egypt based on topographic and climatic factors. The models of the investigated species were evaluated using the area under receiver operating characteristic curve. The results showed that the potential risk areas were along the banks of the Nile River and its irrigation canals. In addition, the MaxEnt models revealed some similarities in the distribution pattern of the vector, the predator, and the aquatic plant. It is obvious that the predictive distribution range of B. truncatus was affected by altitude, precipitation seasonality, isothermality, and mean temperature of warmest quarter. The presence of B. truncatus decreases with the increase of altitude and precipitation seasonality values. It could be concluded that the MaxEnt model could help introducing a predictive risk map for Schistosoma haematobium prevalence and performing better management strategies for schistosomiasis. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Keywords

Bulinus truncatus; Habitat suitability; MaxEnt; Odonata nymph; Schistosoma vector; Animals; Bulinus; Ecosystem; Insecta; Nymph; Odonata; Schistosoma haematobium; aquatic flora; area under the curve; Article; ceratophyllum demersum; controlled study; diagnostic test accuracy study; geographic distribution; global positioning system; intermediate host; irrigation (agriculture); maximum entropy model; nonhuman; precipitation; predator; predictive value; prevalence; receiver operating characteristic; Schistosoma; schistosomiasis; sea surface temperature; seasonal variation; animal; insect

Citation Information

Scopus Citations: 5

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