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Climate change has modified hydrometeorological patterns, influencing plague transmission risks in Inner Mongolia. Using 2013-2021 plague surveillance data from 12 regions in Inner Mongolia, we assessed drought and wet conditions' effects on flea parasitism in two key rodents: Mongolian gerbil (Meriones unguiculatus) and Daurian ground squirrel (Spermophilus dauricus). Extreme gradient boosting (XGBoost) modeling revealed the Standardized Precipitation Evapotranspiration Index (SPEI), maximum ground surface temperature, average relative humidity, average sunshine duration, and maximum wind speed collectively explained 52.60% of generalized flea index variation (SPEI contribution: 14.13%). Distributed lag non-linear model (DLNM) analysis revealed that drought conditions cumulatively increased generalized flea indices, particularly moderate drought (SPEI = -1.8), which showed a significant lagged effect on generalized flea indices after 3 months (RR = 2.76, 95% CI: 1.78-4.27). Conversely, the cumulative effects of wet conditions were detrimental to the increase in generalized flea indices. In addition to exhibiting the generalized flea index characteristics under drought conditions, the plague vectors Nosopsyllus laeviceps and Xenopsylla conformis parasitic on M. unguiculatus showed a facilitative effect in the 3rd month following severe wet conditions, with effect sizes of relative risk (RR) = 1.97 (95% CI: 1.13-3.45) and RR = 5.96 (95% CI: 3.25-10.94), respectively. With increasing drought severity, the flea index of M. unguiculatus rose significantly after a 3-month lag, with Z-test statistics of 2.16 (SPEI_3 = -1) and 2.63 (SPEI_3 = -1.5), both p < 0.05. Under severe drought (SPEI_3 = -1.5), the cumulative RR showed a significant difference in the two rodent species (Z = 2.27, p < 0.05). Therefore, it is essential to proactively monitor drought conditions in Inner Mongolia, particularly during the 3 months following a drought, and special attention should be paid to the increased abundance of Nosopsyllus laeviceps and Xenopsylla conformis in the 3rd month following severe wet conditions.
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http://dx.doi.org/10.1111/1749-4877.13025 | DOI Listing |
PLoS Negl Trop Dis
September 2025
Kenya Medical Research Institute (KEMRI)-Wellcome Trust, Kilifi, Kenya.
Tungiasis is a neglected tropical skin disease caused by the sand flea, Tunga penetrans which penetrates the skin causing considerable pain and itching. In this cross-sectional study we aimed to assess its impact on the quality of life of school children in Kenya. School pupils (198) aged 8-14 years with tungiasis were randomly selected and interviewed using a tungiasis-specific quality of life instrument (TLQI).
View Article and Find Full Text PDFEnviron Toxicol Chem
September 2025
Statistical Ecotoxicology, University of Bayreuth, Bayreuth, Germany.
Several micro- and nanoplastic particle (MNP) traits, like polymer type, size, and shape, have been shown to influence MNP toxicity. However, the direction and strength of these moderating effects are often unclear, and generalizations from single studies are challenging to establish. Meta-analyses increase generalizability and derive more accurate and precise effect size estimates by combining measurements from published studies.
View Article and Find Full Text PDFMed Vet Entomol
September 2025
Centro de Bioinvestigaciones-CeBio, Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires-CIT NOBA (CONICET-UNNOBA-UNSAdA), Pergamino, Argentina.
Fleas (Insecta: Siphonaptera) are recognised vectors of bacteria that affect human and other animal health, whose reservoirs are in the majority mammals. Among these, some species of the genera Rickettsia (Rickettsiales: Rickettsiaceae) and Bartonella (Rhizobiales: Bartonellaceae) are emerging and re-emerging throughout the world; however, their circulation across vast regions of Argentina and numerous animal species, particularly wild species remains largely unknown. The study of wild animal roadkill provides valuable insights into parasitic associations and the presence of pathogenic microorganisms, allowing the generation of a health alert in certain ecosystems.
View Article and Find Full Text PDFParasit Vectors
August 2025
Departments of Environmental Sciences and Environmental Health, Emory University and Rollins School of Public Health, Atlanta, USA.
Background: Colonizing fleas under laboratory conditions is a crucial step to studying their biology, conducting bioassays, and evaluating their ability to transmit pathogens. Starting a colony implies collecting and maintaining wild-caught specimens to obtain the next generations. Here we describe methods to collect, safely transport, and maintain adult and immature stages, and for the first time, to produce viable next generations of Pulex irritans, the human flea in the insectary.
View Article and Find Full Text PDFDiagnostics (Basel)
July 2025
Department of Computer Engineering, Konkuk University, Chungju 05029, Republic of Korea.
: The accurate identification of insect bites from images of skin is daunting due to the fine gradations among diverse bite types, variability in human skin response, and inconsistencies in image quality. : For this work, we introduce DeepBiteNet, a new ensemble-based deep learning model designed to perform robust multiclass classification of insect bites from RGB images. Our model aggregates three semantically diverse convolutional neural networks-DenseNet121, EfficientNet-B0, and MobileNetV3-Small-using a stacked meta-classifier designed to aggregate their predicted outcomes into an integrated, discriminatively strong output.
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