Digital real estate: a review of the technologies and tools transforming the industry and society

© 2023 The Author(s); Shantou University. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/Real estate plays a crucial role in driving national economies. However, the process of transferring properties and engaging with various stakeholders can be hindered by a lack of adequate information, complex procedures, and excessive paperwork. The advent of digital real estate has revolutionized the industry and how stakeholders interact. The present study aims to conduct a bibliometric and systematic review of digital real estate, utilizing historical, institutional, country, and keyword analyses for the bibliometric review and Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines for the systematic review. Through thematic analysis, the study identified four key themes for transforming digital real estate: information communication technologies, data collection technologies, data networking tools, and digital decision-making systems. Additionally, the study proposes a digital real estate transformation framework that can assist stakeholders, urban planners, and decision-makers in embracing digital tools and technologies. The study concludes that digital real estate has the potential to revolutionize future urban planning and real estate development through the use of decision support systems and advanced technologies.Peer reviewe

Spatial variations in COVID-19 risk perception and coping mechanism in Pakistan

The outbreak of novel coronavirus disease (COVID-19) was declared a pandemic by the World Health Organization, which instigated governments to impose lockdowns across their countries. Amidst the lockdown in Pakistan, this study comprised measures of the COVID-19 risk perception, coping mechanism, and spatial variations. The data from 40 selected indicators was collected using an online questionnaire and grouped into domains (4 risk perception and 3 coping mechanisms domains). The results revealed the spatial variations and the levels of risk perception and coping mechanisms within the study area. Relative to each other, overall risk perception was highest in Northern Areas (Gilgit-Baltistan and Azad Jammu and Kashmir) and Islamabad, and lowest in Balochistan province. Very little spatial variation was observed in terms of coping mechanisms. Age, gender, and marital status influenced the risk perception associated with COVID-19. The findings suggest spatial variation in risk perception, implying the need for localized and modified COVID-19 risk communication and risk reduction strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41324-022-00498-7

Frequency of Musculoskeletal Discomforts and its Association with Various Breastfeeding Positions among Nursing Mothers

Objective: To determine the association between musculoskeletal discomforts and breastfeeding positions among nursing mothers.Methodology: It was an analytical cross-sectional conducted from January 2023 to June 2023 at Imran Idrees Teaching Hospital and Idrees Hospital, Cantt Sialkot. The participants were selected using a convenient sampling technique. All 232 participants were recruited after the informed consent who met the inclusion criteria for the study. A musculoskeletal discomfort form developed from the Nordic Musculoskeletal Questionnaire was used as an outcome measuring tool. The data were analyzed using SPSS version 22. Descriptive statistics and chi-square tests were used to analyze the data. Results: The mean age of participants is 28.91±4.10 years. The majority of the participants had 1 breastfeeding child N=181 (78.0%), postpartum duration 1-3 months N=86 (37.1%), with the frequency of breastfeeding 1-3 sessions/day N= 87(37.5%) respectively. Most nursing mothers had a caesarian section as their mode of delivery N=120 (51.7%) and cross-cradle hold was the most common breastfeeding position N=83 (35.8%) causing musculoskeletal discomfort among N=213 (91.8%) of participants. Chi-square showed a significant association for ache/pain and discomfort in the regions of shoulders, elbows, wrist/hands as (p=0.00); upper back (p=0.01) and neck (p=0.02) at significance level 0.05. For prevention scale regions of the neck (p=0.00), wrist/hand, low back (p=0.01)and trouble scale regions of the upper back (p=0.01), shoulder, wrist/hand (p=0.02) respectively. Conclusion: The Musculoskeletal discomforts were more pronounced in regions of the neck, shoulders, elbows, and wrists, upper/lower back with the breastfeeding positions among nursing mothers.Key Words: Breastfeeding positions, musculoskeletal pain, nursing mothers, postur