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Objective: To analyze the association between types of epidemic areas and proportion of main animal hosts of hemorrhagic fever with renal syndrome (HFRS) in China.
Methods: Data on serotype of HFRS patients from 122 regions and species as well as number of animal hosts from 41 national surveillance sites were collected and managed. The map of the types of epidemic areas from 1991-1999 in China was produced using inverse distance weighted technique in the ArcGIS 8.1 software. The map of the proportion of host animals was then overlapped on it and the surveillance sites of HFRS were clustered in terms of the proportion of host animals.
Results: Variance in spatial distribution of the types of epidemic areas was observed. Two epidemic area types, namely Hantaan-dominant mixed epidemic areas and Soul-dominant mixed epidemic areas seemed to have transferred from the north-east to south-west of China in turns. There were more species of HFRS animal hosts in fields than those of in residential areas. The diversity of rodent species in fields was higher than that of the residential areas which predominant harbored rodent species of 2-3 kinds. Types of surveillance sites classified by cluster analysis of proportion of main animal hosts were consistent with the serotypes of HFRS patients.
Conclusion: Through employment of spatial analysis technique based on GIS databases, the HFRS types of main epidemic area in China could be well predicted by surveillance data.
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JMIR Public Health Surveill
September 2025
Department of Preventive Medicine, College of Medicine, Korea University, 73 Goryeodae-ro, Seoungbuk-gu, Seoul, 02841, Republic of Korea, 82 2-2286-1169.
Background: Scrub typhus (ST), also known as tsutsugamushi disease, is a common febrile vector-borne illness in South Korea, transmitted by trombiculid mites infected with Orientia tsutsugamushi, with rodents serving as the main hosts. Although vector-borne diseases like ST require both a One Health approach and a spatiotemporal perspective to fully understand their complex dynamics, previous studies have often lacked integrated analyses that simultaneously address disease dynamics, vectors, and environmental shifts.
Objective: We aimed to explore spatiotemporal trends, high-risk areas, and risk factors of ST by simultaneously incorporating host and environmental information.
Epidemiol Serv Saude
September 2025
Universidade Federal do Piauí, Picos, PI, Brazil.
Objective: To assess the simultaneity of risk behaviors for chronic non-communicable diseases and their association with individual and contextual characteristics in Brazilian adolescents.
Methods: Cross-sectional study using data from the 2019 Brazilian National Health Survey. The simultaneity of factors of the consumption of ultra-processed foods, level of physical activity, smoking and alcohol use was analyzed, according to individual and contextual characteristics, estimating the odds ratios (OR) and respective 95% confidence intervals (95%CI) for fixed effects and variance and 95%CI for random effects, through multilevel polytomous logistic regression.
Epidemiol Serv Saude
September 2025
Universidade Estadual do Norte do Paraná, Programa de Pós-Graduação em Enfermagem em Atenção Primária à Saúde Bandeirantes, PR, Brazil.
Objectives: To analyze the temporal trend and identify spatial clusters of breast cancer mortality in Paraná state between 2012 and 2021.
Methods: This was a time series study, with spatial analysis of breast cancer mortality rates in the 399 municipalities of Paraná. Data were selected from the Mortality Information System.
Rev Bras Enferm
September 2025
Universidade Federal de Santa Maria. Santa Maria, Rio Grande do Sul, Brazil.
Objective: To analyze the workplace resilience of nursing professionals who worked in hospitals in southern Brazil during the COVID-19 pandemic and the associated factors.
Methods: A mixed-methods study with an explanatory sequential design, conducted in four hospitals in Rio Grande do Sul. A cross-sectional study with 845 nursing workers was followed by an exploratory descriptive study involving 17 of these workers.
PLoS One
September 2025
School of Public Health, Changzhi Medical College, Changzhi, China.
Background: In China, the prevalence of chronic diseases is increasing, especially in rural areas, affecting younger populations and associating with multimorbidity. However, in resources-limited rural areas, there is a lack of primary data to the prevalence and patterns of multimorbidity in young populations. This study aims to analysis the differences in multimorbidity prevalence and patterns across different age groups and genders among adults in rural Shanxi Province.
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