The World Health Organization (WHO) maintains a list of medicines and medical devices, , that should be available to everyone, to form a functioning healthcare system. Yet, many of these medicines remain out of reach for people around the world. One significant barrier to improving the accessibility of is a paucity of information about both the extent and causes of this problem. E$$ENTIAL MEDICINE$ (E$$) is a citizen science project designed to investigate this deficit of information by recruiting members of the public to find, validate, compile and share information on through an open, online database. Herein, we report an approach to crowdsourcing both the collection of information on the accessibility of and the subsequent communication of these findings to diverse audiences. The Meet the Medicines initiative encourages members of the public to share information from the E$$ database, in a short video format appropriate for social media. This communication details the design and implementation of our crowdsourced approach and strategies for recruiting and supporting participants. We discuss data on participant engagement, consider the benefits and challenges of this approach and suggest ways to promote crowdsourcing practices for social and scientific good.
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http://dx.doi.org/10.3390/ijerph20054242 | DOI Listing |
J Environ Manage
January 2025
Department of Landscape Architecture, University of Nevada, Las Vegas, NV, USA. Electronic address:
The integration of crowdsourced data has become central to contemporary built environment studies, driven by the rapid growth in digital technologies and participatory approaches that characterize modern urbanism. Despite its potential, a systematic framework for its analysis remains underdeveloped. This review, conducted in accordance with the PRISMA protocol, examines the use of crowdsourced data in shaping the built environment, scrutinizing its applications, crowdsourcing techniques, methodologies, and comparison with other big data forms.
View Article and Find Full Text PDFTher Adv Reprod Health
December 2024
Desai Sethi Urology Institute, Miller School of Medicine, University of Miami, 1150 NW 14th Street, Miami, FL 33136, USA.
Background: Reproductive health technology has evolved significantly since the introduction of in vitro fertilization in 1978, enhancing the possibility of conceiving children at later stages in life. Despite these advancements, there remains a critical gap in fertility knowledge among young adults, as demonstrated by recent studies. This gap is compounded by the growing influence of social media on health information, where misinformation can distort public understanding of fertility-related issues.
View Article and Find Full Text PDFJ Am Acad Orthop Surg Glob Res Rev
December 2024
From the Department of Orthopedic Surgery, AlRazi National Orthopedic Hospital, Kuwait (Lari); and the Department of Anatomy, Trinity College Dublin, Dublin, Ireland (Alherz).
Introduction: Height is an important psychosocial indicator, with short stature linked to a poorer quality of life. This study investigates public perceptions and attitudes toward cosmetic stature lengthening, a surgical procedure designed to increase individuals' height without a standard necessity.
Methods: Using a mixed-methods approach, an online general population sample was surveyed using a crowdsourcing platform (Prolific Academic), which facilitates demographically representative samples.
Diagnostics (Basel)
December 2024
Underactive Bladder Foundation, Pittsburgh, PA 15235, USA.
This study aimed to improve machine learning models for diagnosing interstitial cystitis/bladder pain syndrome (IC/BPS) by comparing classical machine learning methods with newer AutoML approaches, utilizing biomarker data and patient-reported outcomes as features. We applied various machine learning techniques to biomarker data from the previous IP4IC and ICRS studies to predict the presence of IC/BPS, a disorder impacting the urinary bladder. Data were sourced from two nationwide, crowd-sourced collections of urine samples involving 2009 participants.
View Article and Find Full Text PDFPeerJ Comput Sci
November 2024
Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, Republic of South Korea.
Mobile app reviews are valuable for gaining user feedback on features, usability, and areas for improvement. Analyzing these reviews manually is difficult due to volume and structure, leading to the need for automated techniques. This mapping study categorizes existing approaches for automated and semi-automated tools by analyzing 180 primary studies.
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