Evidence map›Paper›PMID 40674433›Full record

ArticlePloS one2025

Complex traces: Examining morbidity and mortality among 19th Century migrants to South Australia using a Complex Adaptive Systems framework.

Angela Gurr, Matthew Brook O'Donnell, Alan Henry Brook

Abstract readHistorical Article
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Angela GurrAdelaide Dental School, University of Adelaide, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0002-9097-9130
Matthew Brook O'DonnellAnnenberg School for Communication, University of Pennsylvania, Walnut, Pennsylvania, United States of America.
Alan Henry BrookAdelaide Dental School, University of Adelaide, Adelaide, South Australia, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In multidisciplinary research interpreting interactions between diverse data sources requires a Complexity approach. A Complex Adaptive Systems (CAS) framework allows the relationships of multiple factors to be explored and may provide a more holistic and nuanced understanding. This study is innovative in explaining the potential benefits in a CAS approach to combining bioarchaeological and historical data when examining a rare archaeological skeletal sample of early migrants to South Australia (SA). Macroscopic, radiographic and micro-CT methods were used for the analysis of the skeletal remains of a group of 19th century migrants buried in an unmarked area of St Mary's Anglican Church Cemetery. The relevant historical records explored were from British emigrant ships to SA (1836-1885 CE) and the Church burial records (1847-1885 CE). Evidence of poor oral and general health was present in the skeletal material. Dental developmental defects indicated health insults in early life. Pathological manifestations in bone were compatible with joint and infectious diseases, and metabolic deficiencies. Historical documents recorded that the voyages to SA were challenging, with some ships experiencing a high death rate. Diseases, e.g., measles and scarlet fever, and diarrhoea were frequently recorded as causes of death at sea for both non-adults and adults. In the Colony, burial records showed similar causes of death for non-adults, but for adults, accidents and tuberculosis were often reported. The CAS approach provided insights beyond those from analysis of the individual sources. It increased understanding of emergent, non-predicted outcomes that resulted from interactions between multiple factors, the impact of fluctuating economy, political instability and ideological pressures, on the health of migrants. The CAS framework is a valuable methodology for interpreting health patterns and can be further developed including for a range of historical and contemporary health contexts.

Indexed as

MortalityTransients and MigrantsAdultArchaeologyFemaleHistory, 19th CenturyHumansMaleMorbiditySouth Australia

Identifiers

PMID40674433
PMCPMC12270162

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