ArticleScientific reports2025
Impact of dual climatic and socioeconomic factors on global trends in infectious disease outbreaks.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Research on influenza surveillance and a prediction model based on multi-source data.BMC medical informatics and decision making · 2026Article
- District-Level Dengue Early Warning Prediction System in Bangladesh Using Hybrid Explainable AI and Bayesian Deep Learning.Tropical medicine and infectious disease · 2026Article
- Global Research Trends on Major Pathogenic Enteric Viruses (1990-2024): A Bibliometric Analysis of Epidemiology, Transmission, and Public Health Impact.Pathogens (Basel, Switzerland) · 2025Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
A recurrent pattern has been observed in global infectious disease outbreaks in recent decades. Nevertheless, quantifying the impact of global change on infectious disease outbreaks remains a challenging endeavor. This study examines the spatiotemporal characteristics of global infectious disease outbreaks and the extent to which global climatic and socioeconomic factors influence them, as well as the relationships between these factors and outbreaks. The results illustrate that the global trend in infectious disease outbreaks is characterized by an upward trend followed by a levelling off, with spatial progression first from the mid-latitudes to the mid-latitudes and high latitudes of North America and South Asia and then clustering in the Central Asian and North American regions. Additionally, socioeconomic factors, such as GDP, population, and human development, contribute more to infectious disease outbreaks than do climatic factors, such as temperature and precipitation. Furthermore, the dual-factor influence of socioeconomic factors and climate change on the trend of infectious disease outbreaks has a complex nonlinear relationship, with an overall increasing trend in infectious disease outbreaks when the HDI increases from 0.19 to 0.55 and from 0.74 to 0.93, when the temperature increases from 1.9 °C to 23 °C and when precipitation increases from 6.75 mm to 800 mm and from 1,600 mm to 2,900 mm per year. The above findings can help countries formulate appropriate prevention and control policies that are adapted to their development contexts and optimize the allocation of public health resources.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.