Evidence map›Paper›PMID 41552426›Full record

ArticleOne health (Amsterdam, Netherlands)2026

The effect of meteorological factors on severe fever with thrombocytopenia syndrome: Evidence from 34 Chinese cities.

Guangju Mo, Xiyuan Huo, Meshack Kipkogei Biwott, Nan Chang, Haoqiang Ji, Lianfang Feng, Huaiping Zhu, Qiyong Liu

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Guangju MoSchool of Public Health, Shandong Second Medical University, Weifang, Shandong Province, China.
Xiyuan HuoWeifang Center for Disease Control and Prevention, Weifang, Shandong Province, China.
Meshack Kipkogei BiwottSchool of Public Health, Shandong Second Medical University, Weifang, Shandong Province, China.
Nan ChangSchool of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province, China.
Haoqiang JiSchool of Public Health, Shandong University, Jinan, Shandong Province, China.
Lianfang FengSchool of Public Health, Shandong University, Jinan, Shandong Province, China.
Huaiping ZhuLAMPS and CDM, Department of Mathematics and Statistics, York University, Toronto, Canada.
Qiyong LiuSchool of Public Health, Shandong Second Medical University, Weifang, Shandong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Severe fever with thrombocytopenia syndrome (SFTS) is a climate-sensitive infectious disease, and its spatial distribution has been expanding in recent years. This study aimed to investigate the influence of meteorological factors on SFTS incidence. Methods: Data on SFTS was extracted from the Infectious Disease Surveillance Report Management System from January 1, 2011 to December 31, 2023. A two-stage hierarchical analytical framework was employed in this study. First, a distributed lag nonlinear model was utilized to characterize the nonlinear exposure-response relationships between meteorological factors and the incidence of SFTS at the municipal level. Second, a multivariate meta-analysis was conducted to synthesize city-specific effect estimates, with explicit adjustment for inter-regional heterogeneity. Results: From 2011 to 2023, 34 cities with cumulative cases ≥100 were included in the final analysis, which accounted for 94.59 % of the total SFTS cases during the same period in mainland China. The incidence risk of SFTS was positively correlated with temperature, relative humidity, precipitation, normalized difference vegetation index, and land cover, but negatively correlated with atmospheric pressure. The exposure-response relationship between average temperature and SFTS risk exhibited a single peak at 24.70 °C ( Conclusions: This study demonstrates that temperature and precipitation significantly influence SFTS incidence, with effects lagging consistently by 1-2 months. These findings can be integrated into China's Smart Multi-Point Surveillance System by incorporating region-specific meteorological thresholds to trigger early warnings. The system could then activate targeted interventions, such as tick control measures, accounting for the observed 1-2 month lag between climatic conditions and disease occurrence. Such climate-adaptive approaches would enhance the precision and timeliness of SFTS prevention and control efforts nationwide.

Indexed as

DLNMEmerging infectious diseaseMeta-analysisMeteorological factorsSevere fever with thrombocytopenia syndrome

Identifiers

PMID41552426
PMCPMC12811632

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.