Novel Sampling Method for Assessing Human-Pathogen Interactions in the Natural Environment Using Boot Socks and Citizen Scientists, with Application to Campylobacter Seasonality

This paper introduces a novel method for sampling pathogens in natural environments. It uses fabric boot socks worn over walkers' shoes to allow the collection of composite samples over large areas. Wide-area sampling is better suited to studies focusing on human exposure to pathogens (e.g., recreational walking). This sampling method is implemented using a citizen science approach: groups of three walkers wearing boot socks undertook one of six routes, 40 times over 16 months in the North West (NW) and East Anglian (EA) regions of England. To validate this methodology, we report the successful implementation of this citizen science approach, the observation that bacteria were detected on 47% of boot socks, and the observation that multiple boot socks from individual walks produced consistent results. The findings indicate higher levels in the livestock-dominated NW than in EA (55.8% versus 38.6%). Seasonal differences in the presence of bacteria were found between the regions, with indications of winter peaks in both regions but a spring peak in the NW. The presence of bacteria on boot socks was negatively associated with ambient temperature ( = 0.011) and positively associated with precipitation ( < 0.001), results consistent with our understanding of survival and the probability of material adhering to boot socks. was the predominant species found; was largely restricted to the livestock-dominated NW. Source attribution analysis indicated that the potential source of was predominantly sheep in the NW and wild birds in EA but did not differ between peak and nonpeak periods of human incidence. There is debate in the literature on the pathways through which pathogens are transferred from the environment to humans. We report on the success of a novel method for sampling human-pathogen interactions using boot socks and citizen science techniques, which enable us to sample human-pathogen interactions that may occur through visits to natural environments. This contrasts with traditional environmental sampling, which is based on spot sampling techniques and does not sample human-pathogen interactions. Our methods are of practical value to scientists trying to understand the transmission of pathogens from the environment to people. Our findings provide insight into the risk of exposure from recreational visits and an understanding of seasonal differences in risk and the factors behind these patterns. We highlight the species predominantly encountered and the potential sources of .