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Unveiling social distancing mechanisms via a fish-robot hybrid interaction.
Romano, Donato; Stefanini, Cesare.
  • Romano D; The BioRobotics Institute, Sant'Anna School of Advanced Studies, Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy. donato.romano@santannapisa.it.
  • Stefanini C; Department of Excellence in Robotics and AI, Sant'Anna School of Advanced Studies, 56127, Pisa, Italy. donato.romano@santannapisa.it.
Biol Cybern ; 115(6): 565-573, 2021 12.
Article in English | MEDLINE | ID: covidwho-1396378
ABSTRACT
Pathogen transmission is a major limit of social species. Social distancing, a behavioural-based response to diseases, has been regularly reported in nature. However, the identification of distinctive stimuli associated with an infectious disease represents a challenging task for host species, whose cognitive mechanisms are still poorly understood. Herein, the social fish Paracheirodon innesi, was selected as model organism to investigate animal abilities in exploiting visual information to identify and promote social distancing towards potentially infected conspecifics. To address this, a robotic fish replica mimicking a healthy P. innesi subject, and another mimicking P. innesi with morphological and/or locomotion anomalies were developed. P. innesi individuals were attracted by the healthy fish replica, while they avoided the fish replica with morphological abnormalities, as well as the fish replica with an intact appearance, but performing locomotion anomalies (both symptoms associated with a microsporidian parasite infesting P. innesi and other fish). Furthermore, the fish replica presenting both morphology and locomotion anomalies in conjunction, triggered a significantly stronger social distancing response. This confirms the hypothesis that group living animals overgeneralize cues that can be related with a disease to minimize transmission, and highlights the important role of visual cues in infection risk contexts. This study prompts more attention on the role of behavioural-based strategies to avoid pathogen/parasite diffusion, and can be used to optimize computational approaches to model disease dynamics.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Robotics Type of study: Prognostic study Limits: Animals Language: English Journal: Biol Cybern Year: 2021 Document Type: Article Affiliation country: S00422-021-00867-9

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Robotics Type of study: Prognostic study Limits: Animals Language: English Journal: Biol Cybern Year: 2021 Document Type: Article Affiliation country: S00422-021-00867-9