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Partitioning Social and Spatial Drivers of Infection Risk.

L Kirkpatrick1,2, J Mariën2,3, C Sabuni4

  • 1School of Environmental and Natural Sciences Bangor University Bangor UK.

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Summary
This summary is machine-generated.

Disease transmission depends on contact rates. This study reveals that spatial overlap, not just density, significantly influences disease exposure in Mastomys natalensis rodents, impacting disease spread models.

Keywords:
INLAbiologgingdisease transmissionproximity loggingsocial‐spatial modelling

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Area of Science:

  • Ecology
  • Epidemiology
  • Wildlife Disease Ecology

Background:

  • Disease transmission models often assume homogenous mixing, which may not reflect real-world contact patterns.
  • Spatial and social structures significantly influence heterogeneous contact behavior and disease spread.
  • Wildlife disease dynamics are often poorly understood due to complex contact networks.

Purpose of the Study:

  • To investigate the relationship between social and spatial behavior and disease exposure in Mastomys natalensis.
  • To assess the correlation between spatial overlap and actual contact rates using proximity loggers.
  • To understand the role of spatial structuring in the transmission of Morogoro virus (MORV).

Main Methods:

  • Utilized an extensive capture-mark-recapture dataset of Mastomys natalensis.
  • Employed miniaturized proximity loggers to measure direct contact rates.
  • Analyzed home range overlap and spatial autocorrelation in relation to Morogoro virus (MORV) exposure.

Main Results:

  • Exposure to MORV was strongly linked to home range overlap with exposed individuals.
  • Home range overlap with conspecifics (regardless of exposure) showed a negative association with MORV exposure.
  • Proximity logger data indicated that spatial overlap can overestimate direct contact, with most contacts involving a few individuals.

Conclusions:

  • Spatial structuring and home range overlap are critical factors in understanding disease transmission dynamics in Mastomys natalensis.
  • Homogenous mixing assumptions in disease models may be inadequate for wildlife populations with significant spatial structuring.
  • Direct contact rates, rather than just spatial overlap, are key to accurately modeling disease spread in this rodent species.