ReviewProceedings. Biological sciences2020
Emerging infectious disease and the challenges of social distancing in human and non-human animals.
Review in Proceedings. Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 76 citations in OpenAlex.
- Research hotspots and trend analyses of maximum biosafety level pathogens: A bibliometric study using China's 2023 catalogue of pathogens as an example.Biosafety and health · 2026Article
- Leveraging single B cell antibody platforms to develop countermeasures against animal viral diseases: recent advances and future perspectives.Frontiers in veterinary science · 2026Review
- The role of the behavioral immune system in the expression of short and long-term orientation in young Chilean men during the COVID-19 pandemic.BMC public health · 2025Article
- Dispositional moral attribution and association avoidance: explaining chronic mpox stigma even after recovery.Ethics, medicine, and public health · 2025Article
- Social ageing can protect against infectious disease in a group-living primate.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Social dilemma of nonpharmaceutical interventions: Determinants of dynamic compliance and behavioral shifts.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Social ageing can protect against infectious disease in a group-living primate.bioRxiv : the preprint server for biology · 2024Article
- Associating with kin selects for disease resistance and against tolerance.Proceedings. Biological sciences · 2024Article
- Early detection of bovine respiratory disease in pre-weaned dairy calves using sensor based feeding, movement, and social behavioural data.Scientific reports · 2024Article
- Novel pathogen introduction triggers rapid evolution in animal social movement strategies.eLife · 2023Article
- Can inflammation predict social media use? Linking a biological marker of systemic inflammation with social media use among college students and middle-aged adults.Brain, behavior, and immunity · 2023Article
- The interplay of social constraints and individual variation in risk tolerance in the emergence of superspreaders.Journal of the Royal Society, Interface · 2023Article
- Stay close, but not too close: aerial image analysis reveals patterns of social distancing in seal colonies.Royal Society open science · 2023Article
- Habit formation of preventive behaviours during the COVID-19 pandemic: a longitudinal study of physical distancing and hand washing.BMC public health · 2022Article
- Impact of joint interactions with humans and social interactions with conspecifics on the risk of zooanthroponotic outbreaks among wildlife populations.Scientific reports · 2022Article
- Female presence does not increase testosterone but still ameliorates sickness behaviours in male Japanese quail.Royal Society open science · 2022Article
- Fear of being near: Fear supersedes sociability when interacting amid a pandemic.Personality and individual differences · 2022Article
- Social distancing and bacteraemia in the time of COVID-19.Internal medicine journal · 2022Article
- The evolution of the human healthcare system and implications for understanding our responses to COVID-19.Evolution, medicine, and public health · 2022Review
- Prediction Model for Infectious Disease Health Literacy Based on Synthetic Minority Oversampling Technique Algorithm.Computational and mathematical methods in medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The 'social distancing' that occurred in response to the COVID-19 pandemic in humans provides a powerful illustration of the intimate relationship between infectious disease and social behaviour in animals. Indeed, directly transmitted pathogens have long been considered a major cost of group living in humans and other social animals, as well as a driver of the evolution of group size and social behaviour. As the risk and frequency of emerging infectious diseases rise, the ability of social taxa to respond appropriately to changing infectious disease pressures could mean the difference between persistence and extinction. Here, we examine changes in the social behaviour of humans and wildlife in response to infectious diseases and compare these responses to theoretical expectations. We consider constraints on altering social behaviour in the face of emerging diseases, including the lack of behavioural plasticity, environmental limitations and conflicting pressures from the many benefits of group living. We also explore the ways that social animals can minimize the costs of disease-induced changes to sociality and the unique advantages that humans may have in maintaining the benefits of sociality despite social distancing.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.