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Massachusetts Institute of Technology

X Disease | Disease X: Medical Mystery-Solving and Epidemiological Change

Abstract

dc:description.abstract

This thesis addresses epidemiological knowledge-making in the face of new, unknown, emerging diseases. It uses two cases, Australian X Disease of the early 1900s and Disease X of the dawning 2000s, to broadly interrogate how medical mystery-solvers marshall forms of experimentation and classification to identify and contain unknown diseases. While dominant theories of millenial disease preparedness emphasize treating emergent disease like other global, virulent epidemics like Zika and Ebola – comparisons of scale and scope – this thesis uses the Australian X Disease to argue for historical approaches to the medical unknown – comparisons through space and time. Given than epidemiological practice conditions what can be known as much as what is overlooked in the face of the unknown, such long-ranging investigative energy can be instructive contra the pitfalls of established medical practice.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Program in Science, Technology and Society
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Robbins, Gabrielle
Advisor dc:contributor.advisor
  • Wallley, Christine J.

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/147295
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/147295

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Robbins, Gabrielle. X Disease | Disease X: Medical Mystery-Solving and Epidemiological Change. Massachusetts Institute of Technology, 2022. https://hdl.handle.net/1721.1/147295