Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Epidemiological Features, Clinical Symptoms, and Environmental Risk Factors for Notifiable Japanese Encephalitis in Taiwan From 2008 to 2020: Retrospective Study.
JMIR Public Health Surveill
January 2025
School of Public Health, National Defense Medical Center, Taipei City, Taiwan.
Background: Japanese encephalitis (JE) is a zoonotic parasitic disease caused by the Japanese encephalitis virus (JEV), and may cause fever, nausea, headache, or meningitis. It is currently unclear whether the epidemiological characteristics of the JEV have been affected by the extreme climatic conditions that have been observed in recent years.
Objective: This study aimed to examine the epidemiological characteristics, trends, and potential risk factors of JE in Taiwan from 2008 to 2020.
The psychometric properties of the child anxiety and depression life interference scale (CADLIS).
Child Adolesc Psychiatry Ment Health
January 2025
Black Dog Institute, University of New South Wales, Sydney, NSW, 2031, Australia.
Objective: Life interference is a key diagnostic feature for anxiety and depressive disorders. Measures focusing on life interference caused by anxiety and depressive disorders in children and adolescents have received minimal attention. This study evaluated the psychometric properties of the Child Anxiety and Depression Life Interference Scale (CADLIS), a brief child (CADLIS-C) and parent-report (CADLIS-P) measure designed to assess life interference from anxiety and depressive disorders in both the child and parent's life.
View Article and Find Full Text PDFAssessment of out-of-pocket (OOP) expenditures on essential medicines for acute and chronic illness: a comparative study across regional and socioeconomic groups in India.
BMC Public Health
January 2025
Centre for Healthcare Management, Administrative Staff College of India (ASCI), Hyderabad, India.
Background: Substantial out-of-pocket (OOP) expenditures push a large portion of the population below the poverty line, especially those residing in rural areas having low incomes. Individuals from economically disadvantaged states in India incur higher healthcare costs for hospitalization in public health centers than do those from more developed states. Economically poorer households in states such as Bihar and Odisha face significantly higher OOP expenditures for hospitalization in public health centers than do those in economically developed states such as Tamil Nadu.
View Article and Find Full Text PDFSilent witnesses: unveiling the epidemic of femicides in North-west Tshwane, South Africa - a decade of analysis.
BMC Public Health
January 2025
Sefako Makgatho University, Ground Floor, Clin Path Building, Room No. 37. Garankuwa, Pretoria, South Africa.
Background: Femicides, defined as the gender-based killing of women, are a pressing public health issue worldwide, with South Africa experiencing some of the highest rates globally. This study focuses on the North-west region of Tshwane, particularly the Garankuwa area, aiming to address gaps in understanding the epidemiology, demographics, circumstances, and pathology associated with femicides. The Garankuwa mortuary serves as the primary site for this investigation, providing a detailed analysis over a ten-year period, shedding light on contributing risk factors in the context of systemic gender inequality.
View Article and Find Full Text PDFRefined methodologies for probabilistic dietary exposure assessment for food contaminants based on the observed individual means methodology.
J Expo Sci Environ Epidemiol
January 2025
Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156, Milano, Italy.
Background: The Observed Individual Means (OIM) methodology, based on the non-parametric bootstrap, is usually employed to perform basic probabilistic dietary chronic exposure assessment, and assumes independence and identical distribution of occurrence data within food category. However, this assumption may not be valid if several expected distributions of occurrence can be a priori identified within food category. Moreover, OIM assumes each analysed food sample to equally contribute to mean occurrence, as information about relevance of each food item cannot be incorporated into exposure assessment.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!