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Abstract Regional and global trade of live animals can contribute to the spread and emergence of novel pathogens, including several important pathogens of amphibians. However, understanding the spread or even frequency of infections in large, complex amphibian trade networks has been difficult, in part because businesses tend to be reluctant to participate in surveillance programs. Thus, we developed a novel approach to surveillance in which anonymous participating businesses were sent surveillance kits through a trusted trade advocacy partner, samples were returned to researchers via anonymous prepaid envelopes, and results were provided via a secure website with access regulated by a unique personal identification number (PIN) created by the business. We tested samples for the amphibian pathogens,Batrachochytrium salamandrivorans(Bsal),Batrachochytrium dendrobatidis(Bd), andRanavirusspp. (Rv), as well as the beneficial microbe,Janthinobacterium lividum(Jliv), using quantitative real‐time polymerase chain reaction (qPCR). Out of 120 businesses invited to complete an anonymous socioeconomic survey, 24 volunteered to participate in pathogen surveillance, of which 14 were sent surveillance kits. Eight of these businesses returned samples consisting of swabs collected from amphibians in 78 terrestrial habitats and water filters from 49 aquatic habitats. Copies of a highly conserved vertebrate gene (EBF3N), quantified using qPCR, were consistently low (<100 copies) in returned samples, but similar to those collected by researchers, indicating comparable sample quality. Three samples (from two facilities) had detectable levels ofBdDNA;Bsal,Rv, andJlivwere not detected. This pilot study provides evidence that information about pathogens in pet trade networks can be acquired by developing partnerships with industry, and business participation might be enhanced by ensuring anonymity and inclusion of a trade advocacy partner. 

Abstract In the quest for high-energy neutrino sources, the Astrophysical Multimessenger Observatory Network has implemented a new search by combining data from the High Altitude Water Cherenkov (HAWC) Observatory and the Astronomy with a Neutrino Telescope and Abyss environmental RESearch (ANTARES) neutrino telescope. Using the same analysis strategy as in a previous detector combination of HAWC and IceCube data, we perform a search for coincidences in HAWC and ANTARES events that are below the threshold for sending public alerts in each individual detector. Data were collected between 2015 July and 2020 February with a live time of 4.39 yr. Over this time period, three coincident events with an estimated false-alarm rate of <1 coincidence per year were found. This number is consistent with background expectations. 

Abstract For several decades, the origin of ultra-high-energy cosmic rays (UHECRs) has been an unsolved question of high-energy astrophysics. One approach for solving this puzzle is to correlate UHECRs with high-energy neutrinos, since neutrinos are a direct probe of hadronic interactions of cosmic rays and are not deflected by magnetic fields. In this paper, we present three different approaches for correlating the arrival directions of neutrinos with the arrival directions of UHECRs. The neutrino data are provided by the IceCube Neutrino Observatory and ANTARES, while the UHECR data with energies above ∼50 EeV are provided by the Pierre Auger Observatory and the Telescope Array. All experiments provide increased statistics and improved reconstructions with respect to our previous results reported in 2015. The first analysis uses a high-statistics neutrino sample optimized for point-source searches to search for excesses of neutrino clustering in the vicinity of UHECR directions. The second analysis searches for an excess of UHECRs in the direction of the highest-energy neutrinos. The third analysis searches for an excess of pairs of UHECRs and highest-energy neutrinos on different angular scales. None of the analyses have found a significant excess, and previously reported overfluctuations are reduced in significance. Based on these results, we further constrain the neutrino flux spatially correlated with UHECRs.