Evidence map›Paper›PMID 25366865›Full record

ArticleEpidemiology and infection2015

Spatio-temporal investigation of the 1918 influenza pandemic in military populations indicates two different viruses.

G D Shanks, G J Milinovich, M Waller, A C A Clements

Abstract readHistorical Article
In one paragraph

Article in Epidemiology and infection, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Rural and Urban Differences in COVID-19 Prevention Behaviors.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2021
    Article
  4. Article
  5. Article
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

4 authors.

G D ShanksAustralian Army Malaria Institute,Enoggera,Australia.
G J MilinovichUniversity of Queensland, School of Population Health,Brisbane,Australia.
M WallerUniversity of Queensland,Centre for Australian Military and Veterans' Health,School of Population Health,Brisbane,Australia.
A C A ClementsUniversity of Queensland, School of Population Health,Brisbane,Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There were multiple waves of influenza-like illness in 1918, the last of which resulted in a highly lethal pandemic killing 50 million people. It is difficult to study the initial waves of influenza-like illness in early 1918 because few deaths resulted and few morbidity records exist. Using extant military mortality records, we constructed mortality maps based on location of burial in France and Belgium in the British Army, and on home town in Vermont and New York in the USA Army. Differences between early and more lethal later waves in late 1918 were consistent with historical descriptions in France. The maps of Vermont and New York support the hypothesis that previous exposure may have conferred a degree of protection against subsequent infections; soldiers from rural areas, which were likely to have experienced less mixing than soldiers from urban areas, were at higher risk of mortality. Differences between combat and disease mortality in 1918 were consistent with limited influenza virus circulation during the early 1918 wave. We suggest that it is likely that more than one influenza virus was circulating in 1918, which might help explain the higher mortality rates in those unlikely to have been infected in early 1918.

Indexed as

PandemicsFranceHistory, 20th CenturyHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanMilitary PersonnelNew YorkRetrospective StudiesRisk FactorsUnited KingdomVermontWarfareInfectious disease epidemiologyinfluenzavirology (human) and epidemiology

Identifiers

PMID25366865
PMCPMC9507253

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.