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Collaborative management partnerships strongly decreased deforestation in the most at-risk protected areas in Africa since 2000.
Proc Natl Acad Sci U S A
January 2025
Center for Environmental Economics - Montpellier (Univ Montpellier, CNRS, INRAE, Institut Agro), Montpellier 34000, France.
Collaborative management partnerships (CMPs) between state wildlife authorities and nonprofit conservation organizations to manage protected areas (PAs) have been used increasingly across Sub-Saharan Africa since the 2000s. They aim to attract funding, build capacity, and increase the environmental effectiveness of PAs. Our study documents the rise of CMPs, examines their current extent, and measures their effectiveness in protecting habitats.
View Article and Find Full Text PDFPredicting depressive symptoms and psychological distress by circulating inflammatory mediators: A 16-month prospective study in Japanese white-collar employees.
J Occup Environ Med
January 2025
Department of Social Medical Sciences, Graduate School of Medicine, International University of Health and Welfare, Tokyo, Japan.
Objective: Although increasing evidence suggests that depression/distress involves inflammatory processes, its potential sex differences and the temporal directions for this association remain elusive.
Methods: We examined the temporal association between serum inflammatory mediators and depression/distress as measured by the Center for Epidemiologic Studies Depression Scale (CES-D) and the Kessler Psychological Distress Scale (K6), in non-depressed working men and women (n = 61 and 43, respectively) by a 16-month prospective design.
Results: Fully-adjusted partial correlation analyses revealed that in men, a lower IFN-γ predicted subsequent increases in CES-D and K6 scores, while a higher TNF-α predicted increased K6 scores.
Enhancing air quality predictions in Chile: Integrating ARIMA and Artificial Neural Network models for Quintero and Coyhaique cities.
PLoS One
January 2025
Escuela de Ingeniería Química, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.
In this comprehensive analysis of Chile's air quality dynamics spanning 2016 to 2021, the utilization of data from the National Air Quality Information System (SINCA) and its network of monitoring stations was undertaken. Quintero, Puchuncaví, and Coyhaique were the focal points of this study, with the primary objective being the construction of predictive models for sulfur dioxide (SO2), fine particulate matter (PM2.5), and coarse particulate matter (PM10).
View Article and Find Full Text PDFPerceptual link between inadequate water, sanitation, and hygiene (WASH) stressors and common mental symptoms in Ethiopian health workers: A qualitative study.
PLoS One
January 2025
Department of Preventive Medicine, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Background: Despite the rising prevalence of common mental symptoms, information is scarce on how health workers make sense of symptoms of mental disorders and perceive a link with inadequate water, sanitation, and hygiene (WASH) as work stressors to understand causation and produce useful knowledge for policy and professionals. Therefore, this study aimed to explore how health workers perceive the link between inadequate WASH and common mental symptoms (CMSs) at hospitals in central and southern Ethiopian regions.
Methods: We used an interpretive and descriptive phenomenological design guided by theoretical frameworks.
Hydrological prediction in ungauged basins based on spatiotemporal characteristics.
PLoS One
January 2025
Institute of Ocean Engineering, Ningbo University, Ningbo, Zhejiang, China.
Hydrological prediction in ungauged basins often relies on the parameter transplant method, which incurs high labor costs due to its dependence on expert input. To address these issues, we propose a novel hydrological prediction model named STH-Trans, which leverages multiple spatiotemporal views to enhance its predictive capabilities. Firstly, we utilize existing geographic and topographic indicators to identify and select watersheds that exhibit similarities.
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