Mahidol University's Institutional Repository

คลังสารสนเทศสถาบันของมหาวิทยาลัยมหิดล

"Wisdom Repository You Discover"

To collect Mahidol University's academic publications and intellectual properties more than 39 faculties

To present over 50,000 items of information in digital formats

To make it easy to access to all information at anytime, anywhere

 

Communities in Mahidol IR

Select a community to browse its collections.

Recent Submissions

Item
Pf8: an open dataset of Plasmodium falciparum genome variation in 33,325 worldwide samples
(2025-01-01) Abdel Hamid M.M.; Abdelraheem M.H.; Acheampong D.O.; Adam I.; Aide P.; Ajibaye O.; Ali M.; Almagro-Garcia J.; Amambua-Ngwa A.; Amenga-Etego L.; Aniebo I.; Aninagyei E.; Ansah F.; Apinjoh T.O.; Ariani C.V.; Auburn S.; Awandare G.A.; Balmer A.; Bejon P.; Boene S.; Bwire G.; Candrinho B.; Chidimatembue A.; Chindavongsa K.; Comiche K.; Conway D.; Dara A.; Diakite M.; Djimde A.; Dondorp A.; Doumbia S.; Drury E.; Fanello C.A.; Ferdig M.; Figueroa K.; Gamboa D.; Golassa L.; Gonçalves S.; Guindo M.d.A.; Hamaluba M.; Hanboonkunupakarn B.; Howe K.; Hussien M.; Imwong M.; Ishengoma D.; Jeans J.; Kabaghe A.; Kamuhabwa A.; Kindermans J.M.; Konate D.S.; Kwiatkowski D.P.; Lee C.; Lee S.K.; Lee S.J.; Ley B.; Llanos-Cuentas A.; Marfurt J.; Matambisso G.; Maude R.R.; Maude R.J.; Mayor A.; Mayxay M.; Maïga-Ascofaré O.; McCann R.S.; Miles A.; Miotto O.; Mohamed A.O.; Morang’a C.M.; Murie K.; Ngasala B.E.; Nguyen T.N.; Nolasco O.; Nosten F.; Noviyanti R.; O'Connor Í.; Oboh M.; Ochola-Oyier L.I.; Olufunke Falade C.; Olukosi A.; Olumide A.; Olusola F.I.; Onyamboko M.A.; Oriero E.C.; Oyibo W.A.; Pannebaker D.; Pearson R.D.; Phiri K.; van der Pluijm R.W.; Price R.N.; Quang H.H.; Rajkumar Devaraju V.; Randrianarivelojosia M.; Ranford-Cartwright L.; Rayner J.C.; Rovira-Vallbona E.; Rowlands K.; Ruano-Rubio V.; Sanchez J.F.; Saúte F.; Shettima S.; Abdel Hamid M.M.; Mahidol University
We describe the Pf8 data resource, the latest MalariaGEN release of curated genome variation data on over 33,000 Plasmodium falciparum samples from 99 partner studies and 122 locations over more than 50 years. This release provides open access to raw sequencing data and genotypes at over 12 million genomic positions. For the first time, it includes copy-number variation (CNV) calls in the drug-resistance associated genes gch1 and crt. As in Pf7, CNV calls are provided for mdr1 and plasmepsin2/3, along with calls for deletion in hrp2 and hrp3, genes associated with rapid diagnostic test failures. This data resource additionally features derived datasets, interactive web applications for exploring patterns of drug resistance and variation in over 5,000 genes, an updated Python package providing methods for accessing and analysing the data, and open access analysis notebooks that can be used as starting points for further analyses. In addition, informative example analyses show contrasting profiles of the decline of chloroquine resistance-associated mutations in Africa, and variation in copy number variation across 10 distinct sub-populations. To the best of our knowledge, Pf8 is the largest open data set of genome variation in any eukaryotic species, making it an invaluable foundational resource for understanding evolution, including that of pathogens.
Item
Revitalizing the state of primary healthcare towards achieving universal health coverage in conflict affected fragile northeastern Nigeria: Challenges, strategies and way forward
(2024-12-01) Musa S.S.; Ibrahim A.M.; Ogbodum M.U.; Haruna U.A.; Gololo A.A.; Abdulkadir A.K.; Ukaegbu E.; Agyapong J.; Shallangwa M.M.; Adamu N.A.; Muhammad B.A.; Lucero-Prisno D.E.; Musa S.S.; Mahidol University
The Alma-Ata Declaration of 1978 defined primary healthcare as a critical way to obtain universal health care and 'health for all.' In Nigeria, the National Health Policy (NHP) and the subsequent formation of the Primary Health Care (PHC) system aim to modernize healthcare delivery, at the grassroots level. In recent decades, however, the status of primary healthcare in Nigeria, particularly in the northeastern region, has significantly deteriorated, further posing significant threats to health equity and universal access to healthcare. Armed conflicts, humanitarian crises, insufficient finance, inadequate infrastructure, and labor shortages have negatively impacted the region's PHC facilities. This article discusses the poor state of primary healthcare in northeastern Nigeria and its implications for achieving universal health coverage in the region. In addition, the article elaborates on the historical context, highlights the difficulties and challenges in the development of primary healthcare, and explores potential solutions to improve the system.
Item
Prevalence and associated factors of sarcopenia risk and possible sarcopenia among older homeless adults in a home for destitute, Thailand: A cross-sectional study
(2025-11-01) Whaikid P.; Piaseu N.; Tantiprasoplap S.; Krongthaeo S.; Srisuk W.; Jitwiriyatham T.; Tantipongsirikul J.; Subtema C.; Whaikid P.; Mahidol University
Background: Sarcopenia threatens the functional ability of older adults and may be underdiagnosed in homeless populations. Older homeless adults face heightened risks due to malnutrition and comorbidities. However, evidence on sarcopenia in this group remains limited, particularly in institutional settings in Thailand. Understanding the prevalence and associated factors of sarcopenia in this vulnerable population is essential to guide early detection, tailored interventions, and policy development. Objectives: To investigate the prevalence of sarcopenia risk and possible sarcopenia, and to identify associated risk factors among older homeless adults. Methods: This cross-sectional study was conducted in 2023 among homeless adults aged 50 years or older residing in a home for the destitute. Participants were purposively recruited based on predetermined inclusion criteria. Sarcopenia risk and possible sarcopenia were determined according to the Asian Working Group for Sarcopenia (AWGS) 2019 guidelines. Calf circumference was measured to identify sarcopenia risk, while handgrip strength and physical performance assessed using the Five-Times Sit-to-Stand Test were used to determine possible sarcopenia. Data were analyzed using descriptive statistics and multinomial logistic regression. Results: Of the 163 participants, 74.9% were classified as having sarcopenia risk, while 71.2% had possible sarcopenia. Multinomial logistic regression analysis revealed that a low body mass index (BMI) was significantly associated with sarcopenia risk (OR = 0.538, 95% CI [0.359, 0.807], p = 0.003). Possible sarcopenia was significantly associated with older age (OR = 1.173, 95% CI [1.061, 1.298], p = 0.002), lower BMI (OR = 0.564, 95% CI [0.448, 0.710], p < 0.001), and the presence of comorbidities (OR = 5.045, 95% CI [1.025, 24.847], p = 0.047). Conclusion: Sarcopenia risk and possible sarcopenia are highly prevalent among older homeless adults. BMI was a key protective factor, while age and comorbidities significantly increased the risk. These findings highlight the need for targeted interventions focusing on nutrition and early prevention strategies to mitigate sarcopenia in this vulnerable population. Nurses play a critical role in early screening and implementing tailored interventions to support prevention and management efforts.
Item
Metrics analysis and evaluation of landscape mosaic changes to monitor the identity of forest monastery green space, Northeast Thailand
(2025-11-01) Pattanakiat S.; Kongsombut P.; Phutthai T.; Muangsong C.; Phewphan U.; Rakasachat C.; Pattanakiat S.; Mahidol University
Forest monasteries are significant Buddhist sites that serve as hubs for ecological services and forest habitats. These monasteries are dispersed throughout urban and community landscapes in Thailand, but have been facing a decline in green space due to land-use changes and urban expansion. This study discussed the assessment of the situation and changes in the structure and pattern of forest monastery green spaces through the application of geo-information technology and principles of landscape ecology. The study classified green and non-green areas in 2022, with proportions of 39.40% and 60.06% respectively. Accuracy and Kappa were 80.21% and 0.92, respectively, reflecting near-perfect agreement. The most significant ecological landscape structures of forest monasteries were green spaces with a core area surrounded by edges, supporting habitats and ecological services, accounting for 19.50% and 10.12%, respectively. These forest monasteries were found across all four settlement patterns: nucleated, linear, dispersed, and isolated, distributed in urban, suburban, and natural areas, each facing different landscape mosaic changes. Forest monasteries located within developed landscapes tended to have lower green space retention and persistence compared to those in agricultural, mixed, and natural landscapes, respectively. However, in terms of maintaining contiguous green spaces, analysis of landscape metrics such as patch area, percentage of landscape, core area, and patch context revealed that Wat Pah Nanachat and Wat Pah Nong Pa Pong had the highest values. These metrics most strongly reflected the green space identity of forest monasteries, even though these monasteries are located in areas undergoing urban development, compared to other forest monasteries. The findings of this research can be used to analyze and assess the green space potential of monasteries dispersed throughout the landscape system. This is helped to understand the dynamics of change in forest monastery green spaces, which must be surrounded by forested areas—an essential cultural landscape element vital to social ecology and contributing are to expand the urban green spaces for future environmental sustainability.
Item
Enhancing primary healthcare delivery in Nigeria through the adoption of advanced technologies
(2024-12-01) Umar A.B.; Sani S.K.; Aliyu L.J.; Hassan M.; Imam M.; Haruna U.A.; Ibrahim A.M.; Lucero-Prisno D.E.; Umar A.B.; Mahidol University
Enhancing primary healthcare delivery in Nigeria by adopting advanced technologies holds substantial promise for improving healthcare accessibility, quality, and efficiency. Primary healthcare focuses on community-based, essential care that is practical, socially acceptable, and affordable. Despite efforts to improve healthcare delivery, challenges persist, particularly in rural and underserved areas. The aim of this study was to explore the transformative potential of technologies such as telemedicine, electronic health records (EHRs), health information systems (HIS), artificial intelligence (AI), and medical drones in addressing these challenges. Telemedicine facilitates access to healthcare in remote areas by overcoming geographical barriers. EHRs streamline administrative and clinical processes, enhancing patient care and safety. HIS improves data management, patient safety, and provider communication. AI revolutionizes diagnostics, treatment personalization, and operational efficiency. Medical drones offer innovative solutions for delivering medical supplies to remote locations. The paper also addresses the challenges associated with these technologies, including infrastructure limitations, regulatory issues, and data privacy concerns. Recommendations include investing in infrastructure, developing regulatory frameworks, building capacity, fostering public-private partnerships, engaging communities, and implementing robust data security measures. By addressing these recommendations, Nigeria can leverage advanced technologies to enhance healthcare delivery and achieve better health outcomes.