Connectivity sustains disease transmission in environments with low potential for endemicity: modelling schistosomiasis with hydrologic and social connectivities
2008

Modeling Schistosomiasis Transmission in Connected Villages

publication Evidence: moderate

Author Information

Author(s): Gurarie David, Seto Edmund Y.W.

Hypothesis

How do social and environmental connections influence the transmission of schistosomiasis in villages?

Conclusion

The study found that schistosomiasis transmission can be sustained in connected villages even when individual villages do not support endemicity.

Supporting Evidence

  • Social and environmental pathways significantly influence the spread of schistosomiasis.
  • Targeting villages with high infection may not lead to optimal disease control.
  • Connectivity between villages can sustain disease transmission even when local conditions do not support it.

Takeaway

This study shows that how people and water move between villages can help spread a disease called schistosomiasis, even if some villages seem healthy.

Methodology

The study used a mathematical model to simulate schistosomiasis transmission across a network of connected villages.

Potential Biases

The model may not accurately reflect all real-world complexities of schistosomiasis transmission.

Limitations

The model assumes constant populations and does not account for real-world fluctuations in human and snail populations.

Participant Demographics

The study focuses on populations in heterogeneous villages, primarily in regions affected by schistosomiasis.

Digital Object Identifier (DOI)

10.1098/rsif.2008.0265

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