Evidence map›Paper›PMID 40551880›Full record

ArticleGeoHealth2025

Extreme Drought Events (1585-1590) and Spatiotemporal Patterns of Infectious Diseases Outbreaks in Ming Dynasty China.

Jingyi Xin, Zhaobin Sun, Juan He, Xiaoyi Hang, Yuxin Zhao, Shuwen Zhang, Yu Hao

Abstract read
In one paragraph

Article in GeoHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Jingyi XinSchool of Traditional Chinese Medicine Beijing University of Chinese Medicine Beijing China.ORCID https://orcid.org/0009-0000-1225-7207
Zhaobin SunState Key Laboratory of Severe Weather (LASW) Chinese Academy of Meteorological Sciences (CAMS) China Meteorological Administration Beijing China.ORCID https://orcid.org/0000-0003-0832-2891
Juan HeSchool of Traditional Chinese Medicine Beijing University of Chinese Medicine Beijing China.
Xiaoyi HangSchool of Traditional Chinese Medicine Beijing University of Chinese Medicine Beijing China.
Yuxin ZhaoBeijing Municipal Ecological and Environmental Monitoring Center Beijing China.
Shuwen ZhangSchool of Traditional Chinese Medicine Nanjing University of Chinese Medicine Nanjing China.
Yu HaoSchool of Traditional Chinese Medicine Beijing University of Chinese Medicine Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Droughts, historically recognized as drivers of societal transformation, have been implicated in the emergence of infectious diseases. While existing research has concentrated on the impact of climate change on infectious diseases outbreaks in modern, industrialized, and urban settings, there is a dearth of epidemiological evidence regarding the historical interplay between drought and disease. Here, we analyze the 1585-1590 extreme drought in Ming Dynasty China to investigate the concurrent development of drought and infectious diseases, as well as the temporal and spatial effects of drought on disease outbreaks. The findings reveal a positive correlation between drought and infectious diseases in both temporal and spatial dimensions, with famine identified as a critical intermediate factor. Drought's influence on famine and disease is both immediate and delayed, with the most significant effects occurring within the same year. Additionally, a north-to-south pattern in the occurrence of drought and infectious diseases is observed, with northern droughts more likely to precipitate disease outbreaks. These insights offer valuable perspectives for future strategies.

Indexed as

droughtfamineinfectious diseaseMing Dynasty Chinaspatiotemporal analysis

Identifiers

PMID40551880
PMCPMC12183115

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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.