Related Experiment Video
Updated: Aug 5, 2026

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
Published on: August 20, 2019
The social phenomenon of rare diseases: a logical-modal analysis
Enrique Fernández-Vilas1, Juan R Coca1, Nicolás Plaza-Gómez2
1University of Valladolid, Soria, Spain.
Abstract:
This paper explores the social phenomenon of rare diseases through a logical-modal analysis. Although rare diseases originate within a biomedical framework and are increasingly recognised by institutional and empirical literature as issues of equity, inclusion, care and participation, this recognition has not usually been formalised in Durkheimian terms. The study applies modal logic, based on possible-worlds semantics and Kripke models, to clarify the conditions under which rare diseases acquire the status of social facts. By modelling behavioural change, coercion, generality and existence independent of individual manifestations, it shows how rare diseases transcend isolated clinical cases and impose structured constraints on social roles, families, institutions and policies. Empirical illustrations from international policy, employment studies, caregiver research and participation surveys are used to anchor the modal variables without treating the model as a statistical validation. The analysis argues that the transition from fragmented recognition to consolidated social fact depends on collective action, institutionalisation and normative recognition. The formalisation identifies intermediate configurations and a stabilised threshold state in which rare diseases become durable and socially binding within the model.
More Related Videos
Related Concept Videos
Factors Affecting Illness
For instance, risk factors are connected to illness, disability,...
Classification of Illness
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe and...
Case Studies
Criteria for Causality: Bradford Hill Criteria - II
Principles of Disease Surveillance
Probability Laws

