Ten GIS-Based Solutions for Managing and Controlling COVID-19 Pandemic Outbreak

Samany‬, Najmeh Neysani; Liu, Hua; Aghataher, R.; Bayat, Mohammad

doi:10.1007/s42979-022-01150-9

Cited by 14 publications

(10 citation statements)

References 117 publications

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“…The results revealed that these applications could be used for health service monitoring and allocation, e.g., the number of hospital and the number of available beds, which facilitated efficient management. However, this research did not support assistance for people in each area in terms of items, food, and herbs [34].…”

Section: Applying Gis To Covid-19mentioning

confidence: 59%

A Geospatial Donation Platform for COVID-19 and Beyond, Leveraging Location – Based Services and Geofencing

Puttinaovarat,

Horkaew

2023

TEM Journal

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The current global scenario is characterized by epidemics and various types of disasters, severely impacting communities' health, living conditions, and economic stability. Especially during such crises, the requirement for essential necessities becomes critical. Existing solution guidelines involve receiving donated items from public agencies through an offline system to provide assistance to victims. However, this implementation faces several limitations, such as a lack of understanding of people's needs in specific areas, leading to mismatches between assistance and actual requirements. Additionally, donators lack adequate information, resulting in further discrepancies between donated items and the victims' genuine needs. The available geospatial platforms primarily support surveillance and monitoring of epidemic or disaster situations but fail to address the management of needs related to donation and receipt. Through an extensive review of the literature and related research, it was identified that a geospatial platform specifically dedicated to donation management has not yet been developed. To address this gap, this research proposes the creation of a novel geospatial platform using data analysis and visualization methods, complemented by the integration of geofencing technology. By employing such an approach, the geospatial platform will play a pivotal role in enhancing disaster and epidemic assistance. It will facilitate efficient data processing and visualization, overcoming the limitations faced by the current offline system. Emphasis will be placed on improving the management of needs concerning donation and receipt, thereby mitigating mismatches between assistance and actual requirements. Consequently, this platform is expected to significantly enhance the effectiveness and targeting of aid distribution during times of crises.

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Section: Applying Gis To Covid-19mentioning

confidence: 59%

A Geospatial Donation Platform for COVID-19 and Beyond, Leveraging Location – Based Services and Geofencing

Puttinaovarat,

Horkaew

2023

TEM Journal

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“…The coronavirus disease 2019, which is also widely known as COVID-19, remains a Public Health Emergency of International Concern (PHEIC) [ 1 ]. To date, as of 31st December 2022, there are a total of 730 763 167 cases and 6 697 328 deaths globally [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Impact of Postponement of Appointments on Vision and Psychological Well-Being Among Outpatients Attending Ophthalmology Clinics: A Malaysian Perspective

Jayallan¹,

Ngah²,

Hussain³

et al. 2023

Cureus

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Introduction: During the COVID-19 pandemic, non-frontline medical disciplines, including ophthalmology, were advised to minimize their services to channel crucial healthcare resources to manage the surge in COVID-19 cases. The ophthalmology department postponed all non-urgent appointments and elective surgical procedures. However, little is known about the visual and mental health impact of these changes in ophthalmology services. Therefore, our study aimed to explore the impact of postponement in ophthalmology outpatient clinic appointments towards visual acuity (VA) changes and the psychological well-being of patients during the COVID-19 pandemic in Malaysia. Methodology: This cross-sectional study, utilizing a convenience sampling method, recruited patients attending ophthalmology outpatient clinic services from July 2020 to June 2021 to participate in the study. The Snellen chart was used to measure the VA, and the Kessler psychological distress scale (K-10) was used to measure psychological distress levels among patients with (study) and without (controls) postponement of the appointment. Results: A total of 485 patients were included in the data analysis; 267 study and 218 controls. There is a statistically significant difference in categorical change of VA (p < 0.001) and categorical K-10 score (p = 0.048) among the study and control groups. Nonetheless, a decline in VA alone does not show a statistically significant association with an increased probability of experiencing psychological distress (p=0.149). Conclusion: Postponement of ophthalmology appointments negatively affected the VA and the psychological well-being of patients. Appropriate assessment of patients before postponing their appointment is crucial to mitigate the worsening of VA and psychological distress.

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“…Their study evaluated the most suitable techniques of statistical methods, predictive models, geographical information system (GIS)-based solutions and emerging technologies applicable to decision-making tools. 19 Lei et al (2019) researched the dynamic trend of risk transmission within the transnational supply chain to prevent the spread of risks. They proposed an improved susceptible-infectious-susceptible (SIS) model combined with a complex network model and an optimised approach to the selection of risk control strategies.…”

Section: Introductionmentioning

confidence: 99%

A predictive decision support system for coronavirus disease 2019 response management and medical logistic planning

Atek

Bianchini²,

Vito

et al. 2023

DIGITAL HEALTH

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Objective Coronavirus disease 2019 demonstrated the inconsistencies in adequately responding to biological threats on a global scale due to a lack of powerful tools for assessing various factors in the formation of the epidemic situation and its forecasting. Decision support systems have a role in overcoming the challenges in health monitoring systems in light of current or future epidemic outbreaks. This paper focuses on some applied examples of logistic planning, a key service of the Earth Cognitive System for Coronavirus Disease 2019 project, here presented, evidencing the added value of artificial intelligence algorithms towards predictive hypotheses in tackling health emergencies. Methods Earth Cognitive System for Coronavirus Disease 2019 is a decision support system designed to support healthcare institutions in monitoring, management and forecasting activities through artificial intelligence, social media analytics, geospatial analysis and satellite imaging. The monitoring, management and prediction of medical equipment logistic needs rely on machine learning to predict the regional risk classification colour codes, the emergency rooms attendances, and the forecast of regional medical supplies, synergically enhancing geospatial and temporal dimensions. Results The overall performance of the regional risk colour code classifier yielded a high value of the macro-average F1-score (0.82) and an accuracy of 85%. The prediction of the emergency rooms attendances for the Lazio region yielded a very low root mean square error (<11 patients) and a high positive correlation with the actual values for the major hospitals of the Lazio region which admit about 90% of the region's patients. The prediction of the medicinal purchases for the regions of Lazio and Piemonte has yielded a low root mean squared percentage error of 16%. Conclusions Accurate forecasting of the evolution of new cases and drug utilisation enables the resulting excess demand throughout the supply chain to be managed more effectively. Forecasting during a pandemic becomes essential for effective government decision-making, managing supply chain resources, and for informing tough policy decisions.

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Ten GIS-Based Solutions for Managing and Controlling COVID-19 Pandemic Outbreak

Cited by 14 publications

References 117 publications

A Geospatial Donation Platform for COVID-19 and Beyond, Leveraging Location – Based Services and Geofencing

A Geospatial Donation Platform for COVID-19 and Beyond, Leveraging Location – Based Services and Geofencing

Impact of Postponement of Appointments on Vision and Psychological Well-Being Among Outpatients Attending Ophthalmology Clinics: A Malaysian Perspective

A predictive decision support system for coronavirus disease 2019 response management and medical logistic planning

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