ArticleBMC infectious diseases2025
The impact of meteorological factors on the respiratory pathogens of neonatal community-acquired pneumonia in Central China.
Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Developing a prediction model of neonatal pneumonia in patients with gestational diabetes mellitus in primary medical institutions.Frontiers in pediatrics · 2026Article
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Abstract
backgroundNeonatal pneumonia is a significant cause of morbidity and mortality among newborns, which is easily affected by seasons and climate. This study investigates the prevalence of common respiratory pathogens in neonatal community-acquired pneumonia (NCAP), and to examine their correlation with seasonal and meteorological factors in order to reduce the rates of neonatal pneumonia infections and mortality.
methodsA retrospective analysis of clinical data from nasopharyngeal secretions of 302 neonates with NCAP in Xiaogan, Central China over five consecutive years from 2019 to 2023 was conducted, employing a seasonal model to predict the incidence of common pathogens.
resultsBacteria were most commonly detected among NCAP (44.0%, 133/302), followed by viruses (30.5%, 92/302). Among bacteria, Gram-negative pathogens were predominant, primarily Klebsiella pneumoniae, Escherichia coli, and Moraxella catarrhalis; Staphylococcus aureus was the most common among Gram-positive bacteria. Respiratory syncytial virus (RSV) was the most common viral pathogen. RSV, along with Influenza virus, Mycoplasma pneumoniae, and Human rhinovirus, exhibited strong seasonality. The detection rate of RSV showed a negative correlation with average temperature, precipitation, and sunlight duration. Staphylococcus aureus's prevalence negatively correlated with average temperature, while Escherichia coli was positively correlated with average humidity. Both Klebsiella pneumoniae and Moraxella catarrhalis showed negative correlations with sunlight duration.
conclusionIn NCAP, bacteria are most frequently detected. However, viral infections should also be considered significant. Most respiratory pathogens displayed distinct seasonality, particularly temperature and sunlight duration, which are major influences on most pathogens.
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