AIMC Topic: Seasons

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Microclimates, land cover, and socioeconomic vulnerability shape Anopheles hotspots in Maryland, USA.

Infectious diseases of poverty
BACKGROUND: Anopheles mosquitoes pose notable public health concerns as competent vectors of malaria and other diseases. Although malaria is no longer endemic in the United States, recent locally acquired cases in states including Maryland highlight ...

Spatial-temporal distribution and variation of atmospheric NO dry deposition in the Yellow River Basin from 2015 to 2023.

Environmental monitoring and assessment
Nitrogen dioxide (NO) is a major atmospheric pollutant that threatens human health and environmental quality amid rapid urbanization and industrialization. The Yellow River Basin is a heavily populated and economically significant area that is essent...

SURVEILLANCE OF WEST NILE VIRUS IN MARYLAND: INTEGRATING SMART VECTOR IDENTIFICATION WITH ENVIRONMENTAL AND EPIDEMIOLOGICAL INSIGHTS.

Journal of the American Mosquito Control Association
This study presents an integrated, operational mosquito surveillance effort conducted in Anne Arundel County, Maryland, during the 2023 and 2024 seasons, revealing substantial variation in Culex pipiens s.l. abundance and West Nile virus (WNV) infect...

Differences in acoustic presence and vocal behavior of Spitsbergen's bowhead whales under ice-covered and open-water conditions.

Scientific reports
Arctic-endemic bowhead whales (Balaena mysticetus) are facing extreme habitat changes, particularly due to ongoing sea-ice loss. This study compares acoustic presence and vocal behavior of bowhead whales at two ecologically distinct locations: (1) no...

Interpretable forecasting of dissolved oxygen leveraging foundation model for proactive aeration in rural wastewater treatment systems.

Water research
Accurate forecasting of dissolved oxygen (DO) is crucial for maintaining biological treatment and minimizing energy consumption in wastewater systems. This challenge is acute in rural stabilization ponds, where DO responds nonlinearly to nutrient flu...

Developing a Community-Specific Daily Weather Health Risk Index Across Australia Using Explainable Machine Learning.

Environmental science & technology
Weather conditions are closely related to human health, yet effective methods for communicating the joint health risks associated with weather-related factors remain limited, especially when accounting for the complex interactions among weather expos...

Comprehensive monitoring of the spatiotemporal variation of water quality and its associated human health risks in Luvuvhu river catchment, Vhembe biosphere reserve, South Africa.

Scientific reports
This study investigates the spatiotemporal variations in water quality and assesses the associated human health risks in the Luvuvhu River Catchment (LRC), South Africa. Water quality parameters such as pH, total dissolved solids (TDS), turbidity, te...

Investigating environmental determinants and spatiotemporal dynamics of highly pathogenic avian influenza H5N1 outbreaks in India through machine learning.

Scientific reports
Avian Influenza (AI), caused by highly pathogenic strains of influenza viruses, poses a significant threat to poultry populations and public health worldwide. This study offers a comprehensive evaluation of the spatial and temporal dynamics of HPAI o...

A comparative evaluation of multiple machine learning approaches for forecasting dengue outbreaks in Bangladesh.

Scientific reports
This study aims to forecast dengue incidence in Bangladesh by applying and comparing machine learning techniques. Dengue surveillance data from January 1, 2022, to December 1, 2023, for five divisions of Bangladesh was obtained from the Directorate G...

Machine learning framework for forecasting air pollution: Evaluating seasonal and climatic influences in Istanbul, Turkey.

PloS one
Air pollution, driven by seasonal and meteorological variations, poses a significant threat to public health and urban sustainability. Despite numerous forecasting approaches, the influence of seasonal patterns on air pollutant levels remains underex...