Evidence map›Paper›PMID 29109246›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Scale-dependent climatic drivers of human epidemics in ancient China.

Huidong Tian, Chuan Yan, Lei Xu, Ulf Büntgen, Nils C Stenseth, Zhibin Zhang

Abstract readHistorical Article
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Long-term decrease in Asian monsoon rainfall and abrupt climate change events over the past 6,700 years.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Historical reconstruction unveils the risk of mass mortality and ecosystem collapse during pancontinental megadrought.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  10. Article
  11. Differential effects of global and local climate data in assessing environmental drivers of epidemic outbreaks.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  12. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Huidong TianState Key Laboratory of Integrated Management of Pest Insects and Rodents in Agriculture, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Chuan YanState Key Laboratory of Integrated Management of Pest Insects and Rodents in Agriculture, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0002-6669-432X
Lei XuState Key Laboratory of Integrated Management of Pest Insects and Rodents in Agriculture, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Ulf BüntgenDepartment of Geography, University of Cambridge, CB2 3EN Cambridge, United Kingdom.
Nils C StensethCentre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, N-0316 Oslo, Norway; n.c.stenseth@ibv.uio.no zhangzb@ioz.ac.cn.
Zhibin ZhangState Key Laboratory of Integrated Management of Pest Insects and Rodents in Agriculture, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; n.c.stenseth@ibv.uio.no zhangzb@ioz.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A wide range of climate change-induced effects have been implicated in the prevalence of infectious diseases. Disentangling causes and consequences, however, remains particularly challenging at historical time scales, for which the quality and quantity of most of the available natural proxy archives and written documentary sources often decline. Here, we reconstruct the spatiotemporal occurrence patterns of human epidemics for large parts of China and most of the last two millennia. Cold and dry climate conditions indirectly increased the prevalence of epidemics through the influences of locusts and famines. Our results further reveal that low-frequency, long-term temperature trends mainly contributed to negative associations with epidemics, while positive associations of epidemics with droughts, floods, locusts, and famines mainly coincided with both higher and lower frequency temperature variations. Nevertheless, unstable relationships between human epidemics and temperature changes were observed on relatively smaller time scales. Our study suggests that an intertwined, direct, and indirect array of biological, ecological, and societal responses to different aspects of past climatic changes strongly depended on the frequency domain and study period chosen.

Indexed as

ChinaClimate ChangeCommunicable DiseasesDisastersEpidemicsHistory, AncientHistory, MedievalHumansPrevalenceclimatediseaseepidemicsnatural disasterscale dependent

Identifiers

PMID29109246
PMCPMC5724254

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Registered trials

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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.