ArticleScientific reports2025
Evaluation of ecological consequences on the global distribution of Staphylococcus aureus Rosenbach 1884 due to climate change, using Maxent modeling.
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 8 papers.
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Who cites it
8 citing papers in PubMed.
- Beyond Current Borders: Modeling the Climate-Mediated Invasion ofEcology and evolution · 2026Article
- Climate change-driven geographical shifts iniScience · 2026Article
- Climate change and the potential global distribution ofFrontiers in plant science · 2026Article
- Preclinical evaluation of repositioned non-antibiotic agents against Staphylococcus aureus: a network meta-analysis of survival outcomes.World journal of microbiology & biotechnology · 2025Article
- Antimicrobial Resistance in the Era of Climate Change: Why We Should All Embrace and Integrate the One Health Approach in Clinical Practice?Antibiotics (Basel, Switzerland) · 2025Review
- Projecting the global spread of xylella fastidiosa under climate change using maxent modeling.Scientific reports · 2025Article
- Molecular analyses of community-acquired Staphylococcus epidermidis biofilm development, molecular virulence, and pattern of antibiotic resistance.Molecular biology reports · 2025Article
- Spatiotemporal dynamics ofFrontiers in microbiology · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Staphylococcus aureus is a primary cause of many infections in humans, and its rising prevalence and drug resistance are serious public health concerns. While there is evidence that climate change can influence the distribution and abundance of microbial species, the precise effects on S. aureus are not well characterized. The purpose of this study is to predict the potential influence of climate change on the global distribution of Staphylococcus aureus in 2050 and 2070 using GIS and Maxent modeling. S. aureus occurrence data was acquired from global databases and coupled with bioclimatic variables to simulate current and future habitat suitability under several climate change scenarios (RCP 2.6 and 8.5). The Maxent modeling approach was used to forecast geographical patterns of S. aureus distribution, providing insights into locations that may see increased prevalence of this essential species as a result of climate change. The study's findings can be used to inform public health measures and focused surveillance activities aimed at reducing the burden of Staphylococcus aureus infection.
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