AI Article Synopsis
Article Abstract
Air pollution resulting from the use of unhealthy/unclean energy sources for cooking causes illnesses such as lung cancer, stroke, chronic obstructive pulmonary disease and ischaemic heart disease. In Ghana, each year, about 18 000 deaths are recorded due to the use of unhealthy energy sources for cooking. While financial inclusion can influence the adoption of healthy energy sources for cooking, less attention has been paid to it. This study, therefore, investigates the effect of financial inclusion on the choice of healthy source of energy for cooking among households in Ghana. Doing so reveals whether financial inclusion can be employed as a tool to decrease the use of unhealthy sources of energy for cooking in Ghana. We employ the Ghana Living Standards Survey round 7 (GLSS7) as the data source for the study whiles the binary logistic regression is used as the estimation technique. The findings show that, households with financial inclusion (using a single indicator) are more likely to choose healthy sources of energy for cooking relative to those without financial inclusion (OR = 2.52, < .01). Moreover, the effect of financial inclusion (using a single indicator) on choosing a healthy source of energy for cooking is greater among rural households (OR = 3.18, < .01) relative to their urban counterparts (OR = 2.27, < .01). The findings are robust even after using a different estimation technique and a combined index of financial inclusion. Thus, in the quest to improve the use of healthy sources of energy for cooking, enhancing financial inclusion among households, could be a useful strategy.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9853874 | PMC |
| http://dx.doi.org/10.1177/11786302221150352 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Artificial intelligence and MRI in sinonasal tumors discrimination: where do we stand?
Eur Arch Otorhinolaryngol
December 2024
Division of Otorhinolaryngology, Department of Biotechnology and Life Sciences, University of Insubria, Ospedale di Circolo, Varese, Italy.
Background: Artificial intelligence (AI) demonstrates high potential when applied to radiomic analysis of magnetic resonance imaging (MRI) to discriminate sinonasal tumors. This can enhance diagnostic suspicion beyond visual assessment alone and prior to biopsy, leading to expedite the diagnostic timeline and the treatment planning. The aim of the present work is to evaluate the current advancements and accuracy of this technology in this domain.
View Article and Find Full Text PDFIntegration of Peer Navigators Into Longitudinal Research.
J Obstet Gynecol Neonatal Nurs
December 2024
Objective: To assess consent rates and reasons for refusing consent after the introduction of peer navigators into the Outcomes of Babies With Opioid Exposure (OBOE) Study.
Design: Secondary analysis of data from the OBOE Study, a multisite observational study.
Setting: Medical centers in Alabama, Ohio, and Pennsylvania (N = 4).
Embryonic exposure to acetamiprid insecticide induces CD68-positive microglia and Purkinje cell arrangement abnormalities in the cerebellum of neonatal rats.
Toxicol Appl Pharmacol
December 2024
Department of Applied Chemistry and Life Sciences, Graduate School of Engineering, Toyohashi University of Technology, Toyohashi, Aichi 441-8580, Japan; Center for Diversity and Inclusion, Toyohashi University of Technology, Toyohashi, Aichi, 441-8580, Japan. Electronic address:
Concerns have been raised regarding acetamiprid (ACE), a neonicotinoid insecticide, due to its potential neurodevelopmental toxicity. ACE, which is structurally similar to nicotine, acts as an agonist of nicotinic acetylcholine receptors (nAChRs) and resists degradation by acetylcholinesterase. Furthermore, ACE has been reported to disrupt neuronal transmission and induce developmental neurotoxicity and ataxia in animal models.
View Article and Find Full Text PDFEmbedded Ethics in Practice: A Toolbox for Integrating the Analysis of Ethical and Social Issues into Healthcare AI Research.
Sci Eng Ethics
December 2024
Institute of History and Ethics in Medicine, Department of Preclinical Medicine, TUM School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.
Integrating artificial intelligence (AI) into critical domains such as healthcare holds immense promise. Nevertheless, significant challenges must be addressed to avoid harm, promote the well-being of individuals and societies, and ensure ethically sound and socially just technology development. Innovative approaches like Embedded Ethics, which refers to integrating ethics and social science into technology development based on interdisciplinary collaboration, are emerging to address issues of bias, transparency, misrepresentation, and more.
View Article and Find Full Text PDFIndividualized evaluation of the total dose received by radiotherapy patients: Integrating in-field, out-of-field, and imaging doses.
Phys Med
December 2024
The Skandion Clinic, Uppsala, Sweden; Medical Radiation Sciences, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Purpose: To propose a methodology for integrating the out-of-field and imaging doses to the in-field dose received by radiotherapy (RT) patients. In addition, the impact of considering the total dose in planning and radiation-induced second malignancies (RISM) risk assessment will be evaluated in several scenarios comprising photon and proton treatments.
Methods: The total dose is the voxel-wise sum of the doses from the different radiation sources (accounting for the radiobiological effectiveness) produced during the whole RT chain.
Want 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!