COVID-19 Risk Mapping with Considering Socio-Economic Criteria Using Machine Learning Algorithms

International Journal of Environmental Research and Public Health, Journal Year: 2021, Volume and Issue: 18(18), P. 9657 - 9657

Published: Sept. 14, 2021

The reduction of population concentration in some urban land uses is one way to prevent and reduce the spread COVID-19 disease. Therefore, objective this study prepare risk mapping Tehran, Iran, using machine learning algorithms according socio-economic criteria use. Initially, a spatial database was created 2282 locations patients with from 2 February 2020 21 March eight affecting disease—public transport stations, supermarkets, banks, automated teller machines (ATMs), bakeries, pharmacies, fuel hospitals. modeling performed three that included random forest (RF), adaptive neuro-fuzzy inference system (ANFIS), logistic regression (LR). Feature selection OneR method, correlation between obtained Pearson coefficient. We deployed 70% 30% patient for validation, respectively. results receiver operating characteristic (ROC) curve area under (AUC) showed RF algorithm, which had value 0.803, highest accuracy, followed by ANFIS algorithm 0.758 LR 0.747. central eastern regions Tehran are more at risk. Public transportation stations pharmacies were most correlated location technique, RF, algorithms. banks incompatible distribution, density these has caused prevalence COVID-19.

Language: Английский

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Assessment of COVID-19 induced travel pattern changes in Dhaka City

Case Studies on Transport Policy, Journal Year: 2021, Volume and Issue: 9(4), P. 1943 - 1955

Published: Nov. 12, 2021

Language: Английский

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Spatio‐temporal cluster analysis and transmission drivers for Peste des Petits Ruminants in Uganda

Transboundary and Emerging Diseases, Journal Year: 2022, Volume and Issue: 69(5)

Published: March 1, 2022

Peste des Petits Ruminants (PPR) is a transboundary, highly contagious, and fatal disease of small ruminants. PPR causes global annual economic losses between USD 1.5 2.0 billion across more than 70 affected countries. Despite the commercial availability effective vaccines, lack financial technical commitment to control coupled with dearth refined risk profiling data in different endemic countries has perpetuated virus transmission. In Uganda, over past 5 years, extended from northeastern Uganda (Karamoja) sporadic incursions other districts /regions. To identify cluster hotspot trends that would facilitate design implementation risk-based methods (including vaccination), we employed space-time cube approach clustering outbreaks neighbouring cells using confirmed outbreak report (2007-2020). We also used negative binomial logistic regression models identified high ruminant density, road length, low precipitation soil water index as most important drivers Uganda. The study (with 90-99% confidence) five trend categories subregions Diminishing hotspots were Karamoja region whereas consecutive, sporadic, new emerging central southwestern Inter-district cross-border movement facilitated by longer stretches animal comingling precipitate well spread its initial focus There therefore urgent need prioritize considerable vaccination coverage obtain required herd immunity among ruminants areas block transmission further hotspots. Findings this provide basis for robust timing prioritization measures including vaccination.

Language: Английский

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Harnessing socio-spatial dynamics for pandemic resilience: Evidence from Kozhikode, India

One Health, Journal Year: 2025, Volume and Issue: unknown, P. 101052 - 101052

Published: April 1, 2025

Language: Английский

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Service contracting as a policy response for public transport recovery during the Covid-19 Pandemic: A preliminary evaluation

Transportation Research Interdisciplinary Perspectives, Journal Year: 2022, Volume and Issue: 13, P. 100559 - 100559

Published: Feb. 10, 2022

We examine and assess the service contracting (SC) program implemented for first time in Metro Manila, Philippines as a response to impact of pandemic on road-based public transport sector. develop an evaluation framework, consisting three indicators: social amelioration, increase supply performance improvement. These indicators are purported objectives SC. Using mix qualitative quantitative methods, our suggests that although SC has brought positive terms two indicators, there is no robust evidence so far may suggest improved delivery. also find while primary objective providing amelioration affected operators appropriate during pandemic, this challenges financially sustaining effecting improvements services. Our work aims contribute empirical case study upsides downsides business model provision pandemic.

Language: Английский

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Beyond the blame game: Unraveling the complex relationship between density and COVID-19 through a systematic literature review

Cities, Journal Year: 2023, Volume and Issue: 141, P. 104519 - 104519

Published: Aug. 9, 2023

Density has gained considerable attention in policy and scientific discourses since the emergence of COVID-19. In early days, density was blamed as a negative factor that accelerates transmission coronavirus urban areas. Following this, many studies have examined impact on spread This offers good opportunity to examine synthesize insights reported literature understand how affected virus. To do so, we conducted systematic review 134 papers, which around 58 % them found positive predictor. However, relationship between virus is complex mediated by factors such scale, context, methods used for analysis, other built environment factors. Hence, assert infection rate not straightforward, assertions about effects COVID-19 can only be made with caution. Comprehensive analyses taking into account multiple interrelated need carried out before any conclusions regarding this issue drawn. Therefore, it advisable refrain from making premature statements due their potential adverse efforts toward development cities are resilient climate change contribute achieving sustainable goals.

Language: Английский

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Impact of urbanisation and environmental factors on spatial distribution of COVID-19 cases during the early phase of epidemic in Singapore

Scientific Reports, Journal Year: 2022, Volume and Issue: 12(1)

Published: June 13, 2022

Abstract Geographical weighted regression (GWR) can be used to explore the COVID-19 transmission pattern between cases. This study aimed influence from environmental and urbanisation factors, spatial relationship epidemiologically-linked, unlinked imported cases during early phase of epidemic in Singapore. Spatial relationships were evaluated with GWR modelling. Community residential location reported 21st January 2020 till 17th March considered for analyses. Temperature, relative humidity, population density are variables as exploratory analysis. ArcGIS was process data perform geospatial During Singapore, significant but weak correlation temperature incidence (significance 0.5–1.5) observed several sub-zones Correlations humidity could not established. Across sub-zones, high levels associated incidence. The case types (linked, imported) within varied differently, especially those western north-eastern regions Areas both potential risk factors transmission. These findings provide further insights directing appropriate resources enhance infection prevention control strategies contain

Language: Английский

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Understanding the nexus between public risk perception of COVID-19 and evacuation behavior during cyclone Amphan in Bangladesh

Heliyon, Journal Year: 2021, Volume and Issue: 7(7), P. e07655 - e07655

Published: July 1, 2021

In May 2020, when Bangladesh was struggling with community transmission of COVID-19, the country had to face strongest tropical storm- Cyclone Amphan -which puts evacuation process in jeopardy. Thus, it is crucial measure public risk perception about COVID-19 and its influence on decision. This study explores nexus between coastal peoples' decisions during cyclone Amphan. With an analysis 378 sample households survey data Satkhira district, this developed index using Principal Component Analysis (PCA) categorized respondents based score. The result shows that 1.85 %, 21.43 45.77 25.13 5.82 % have very low, moderate, high, high-risk perceptions, respectively. also reveals 96.6 received order Amphan, but only 42 complied order. t-test common language effect size test reveal a high score are 65 less likely evacuate than low scores. has important implications guiding concerned authorities combat natural disasters other similar health emergencies future.

Language: Английский

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High-Density Communities and Infectious Disease Vulnerability: A Built Environment Perspective for Sustainable Health Development

Buildings, Journal Year: 2023, Volume and Issue: 14(1), P. 103 - 103

Published: Dec. 30, 2023

High-density communities have proliferated globally during rapid urbanization. They are characterized by a high population density and limited per capita public spaces, making them susceptible to infectious disease risks. The impact of diseases in these communities, as evident the COVID-19 pandemic, underscores their vulnerabilities. Yet, research on prevention high-density areas remains limited. This study aims investigate relationship between built environment transmission urban with particular focus lessons learned pandemic. Utilizing Shenzhen city case study, this collected data epidemic trends involved generalized linear regression analysis, aiming understand key factors that affect spread areas. results from revealed experience higher rates compared medium- low-density counterparts. significant identified include land use mixture walkability, showing most substantial infection rates. Through combination qualitative analysis empirical research, we constructed conceptual framework linking containment measures, non-pharmaceutical interventions, environment. findings emphasize significance health development offer valuable insights for tailored planning design. These crucial promoting healthy sustainable transformation existing communities.

Language: Английский

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Spatiotemporal hierarchical Bayesian analysis to identify factors associated with COVID-19 in suburban areas in Colombia

Heliyon, Journal Year: 2024, Volume and Issue: 10(9), P. e30182 - e30182

Published: April 24, 2024

The pandemic had a profound impact on the provision of health services in Cúcuta, Colombia where neighbourhood-level risk Covid-19 has not been investigated. Identifying sociodemographic and environmental factors large cities is key to better estimate its morbidity support strategies targeting specific suburban areas. This study aims identify associated with Cúcuta considering inter -spatial temporal variations disease city's neighbourhoods between 2020 2022.

Language: Английский

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