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Revisiting density-dependent fecundity in schistosomes using sibship reconstruction
M Inês Neves1,2, Charlotte M Gower2, Joanne P Webster1,2
1Department of Pathobiology and Population Sciences, Royal Veterinary College, University of London, United Kingdom.
Plos Neglected Tropical Diseases
|May 13, 2021
Summary
Density-dependent fecundity in Schistosoma haematobium was confirmed, showing reduced egg production at higher worm burdens. Evidence for Schistosoma mansoni was inconclusive, highlighting the need for further research in helminthiasis control.
Area of Science:
- Parasitology
- Epidemiology
- Mathematical Biology
Background:
- Parasite population stability is influenced by density-dependent processes.
- Density-dependent fecundity, reduced egg production at high worm burdens, is crucial for helminth infections.
- Understanding this in human schistosomiasis is vital for control but historically equivocal due to inaccessible adult worms.
Purpose of the Study:
- To investigate density-dependent fecundity in human Schistosoma haematobium and Schistosoma mansoni.
- To apply a novel statistical modeling approach combining molecular inference and parasitological data.
- To inform schistosomiasis elimination strategies and data interpretation.
Main Methods:
- Utilized a statistical modeling approach.
- Combined molecular inference of adult worm numbers with parasitological egg count data.
- Analyzed data from human hosts in mainland Tanzania and Zanzibar for Schistosoma spp.
Main Results:
- Provided the first clear evidence of density-dependent fecundity in Schistosoma haematobium.
- Observed a non-proportional relationship between S. haematobium egg counts and inferred female worm numbers.
- Did not find robust evidence for density-dependent fecundity in Schistosoma mansoni due to data limitations and model sensitivity.
Conclusions:
- Density-dependent fecundity is a key regulatory process for Schistosoma haematobium.
- The findings have implications for predicting intervention effectiveness and interpreting schistosomiasis monitoring data.
- The model-based approach offers potential for understanding density dependence in other helminthiases.
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