Evidence map›Paper›PMID 25234688›Full record

ArticleBMC infectious diseases2014

The evolution of pandemic influenza: evidence from India, 1918-19.

Siddharth Chandra, Eva Kassens-Noor

Abstract read
In one paragraph

Article in BMC infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Influenza.Indian journal of pediatrics · 2020
    Review
  7. Article
  8. Influenza pandemic preparedness: A special challenge for India.The Indian journal of medical research · 2019
    Article
  9. Impact of the 1918 Influenza Pandemic in Coastal Kenya.Tropical medicine and infectious disease · 2019
    Article
  10. Article
  11. Article
  12. Pandemic Flu, 1918: After hundred years, India is as vulnerable.The Indian journal of medical research · 2018
    Article
  13. 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

2 authors.

Siddharth ChandraAsian Studies Center, 301 International Center, Michigan State University, East Lansing, MI 48824, USA. chandr45@msu.edu.
Eva Kassens-Noor

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 1918-19 'Spanish' Influenza was the most devastating pandemic in recent history, with estimates of global mortality ranging from 20 to 50 million. The focal point of the pandemic was India, with an estimated death toll of between 10 and 20 million. We will characterize the pattern of spread, mortality, and evolution of the 1918 influenza across India using spatial or temporal data.

methodsThis study estimates weekly deaths in 213 districts from nine provinces in India. We compute statistical measures of the severity, speed, and duration of the virulent autumn wave of the disease as it evolved and diffused throughout India. These estimates create a clear picture of the spread of the pandemic across India.

resultsAnalysis of the timing and mortality patterns of the disease reveals a striking pattern of speed deceleration, reduction in peak-week mortality, a prolonging of the epidemic wave, and a decrease in overall virulence of the pandemic over time.

conclusionsThe findings are consistent with a variety of possible causes, including the changing nature of the dominant viral strain and the timing and severity of the monsoon. The results significantly advance our knowledge of this devastating pandemic at its global focal point.

Indexed as

PandemicsHumansIndiaInfluenza, HumanSeasons

Identifiers

PMID25234688
PMCPMC4262128

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.