GeoJournal, Год журнала: 2022, Номер 88(3), С. 2509 - 2527
Опубликована: Сен. 25, 2022
Язык: Английский
BMC Health Services Research, Год журнала: 2024, Номер 24(1)
Опубликована: Ноя. 21, 2024
Health is a fundamental right intricately linked to geographical factors, as evidenced in the health geography literature. The application of information systems (GISs) plays pivotal role mapping diseases and evaluating healthcare accessibility acknowledged by World Organisation solution for enhancing system resilience achieving universal coverage. This study focuses on perspectives provide insights into evolving GIS addressing challenges shaping strategies research within India. primary objective was analyse utilisation GISs studies specifically three thematic areas: disease surveillance, risk assessment, access. databases were searched using sixteen keywords peer-reviewed articles published during 2000–2022. A systematic literature survey conducted, drawing from available PubMed, Web Science Scopus databases. Out 162 search results, 58 selected review after rounds eliminations based predefined specific criteria. conducted following PRISMA guidelines two questions. reveals extensive use since its inception, with particular prominence decision-making tool aftermath COVID-19 outbreak. analysis scientific focused access Indian context demonstrates effectiveness managing planning resources services. has proven be an indispensable instrument understanding spatial patterns optimising interventions. underscores critical research, particularly context. versatile applications highlight strategies, contributing more resilient accessible India beyond.
Язык: Английский
Процитировано
5
Environmental Science & Policy, Год журнала: 2023, Номер 144, С. 110 - 123
Опубликована: Март 14, 2023
Язык: Английский
Процитировано
9
International Journal of Infectious Diseases, Год журнала: 2022, Номер 122, С. 669 - 675
Опубликована: Июль 8, 2022
ObjectivesGeographical Information Surveillance (GIS) is an advanced digital technology tool that maps location-based data and helps in epidemiological modeling. We applied GIS to analyze patterns of spread hotspots COVID-19 cases the Vellore district South India.MethodsLaboratory-confirmed from neighboring taluks March 2020 June 2021 were geocoded spatial generated. Time trends exploring urban-rural burden with age-sex distribution other variables correlated outcomes.ResultsA total 45,401 detected, 20,730 during first wave 24,671 second wave. The overall incidence rates 462.8 588.6 per 100,000 population waves, respectively. pattern revealed epicenters densely populated urban areas radial sparing rural case fatality rate was 1.89% 1.6% which increased advancing age.ConclusionsModern surveillance systems like can accurately predict future pandemics. In addition, real-time mapping help design risk mitigation strategies, thereby preventing areas.
Язык: Английский
Процитировано
8
International Journal of Health Geographics, Год журнала: 2023, Номер 22(1)
Опубликована: Апрель 6, 2023
COVID-19 caused the largest pandemic of twenty-first century forcing adoption containment policies all over world. Many studies on health determinants have been conducted, mainly using multivariate methods and geographic information systems (GIS), but few attempted to demonstrate how knowing social, economic, mobility, behavioural, other spatial their effects can help contain disease. For example, in mainland Portugal, non-pharmacological interventions (NPI) were primarily dependent epidemiological indicators ignored variation susceptibility infection.We present a data-driven GIS-multicriteria analysis derive spatial-based index infection Portugal. The cumulative incidence 14 days was used stepwise multiple linear regression as target variable along potential at municipal scale. To infer existence thresholds relationships between most relevant factors examined bivariate Bayesian change point analysis. mapped based these weighted combination.Regression results support that spread Portugal had strong associations with related socio-territorial specificities, namely sociodemographic, economic mobility. Change revealed evidence nonlinearity, classes reflect dependency. explains accuracy previous posterior infections. Assessing NPI levels relation map points towards disagreement severity restrictions actual propensity for transmission, highlighting need more tailored interventions.This article argues should consider infection. findings highlight importance customising specific geographical contexts due uneven distribution determinants. methodology has replication scales regions better understand role explaining spatiotemporal patterns diseases promoting evidence-based public policies.
Язык: Английский
Процитировано
2
Journal of ASIAN Behavioural Studies, Год журнала: 2023, Номер 8(24), С. 53 - 65
Опубликована: Апрель 30, 2023
This paper presents the spatial susceptibility risk mapping of tuberculosis (TB) using a geographical information system (GIS) index model and satellite remote sensing (RS) imagery. GIS RS-based approach is proposed as an alternative method in identifying potentially high-risk areas Klang, Selangor. The level for selected socio-spatial factors map was classified into five-scale from 1, which no to 5, indicates high by applying overlay analysis weighted linear combination. shows that concentration TB cases located district's urban crowded areas.
Язык: Английский
Процитировано
2
GeoJournal, Год журнала: 2022, Номер 88(3), С. 2509 - 2527
Опубликована: Сен. 25, 2022
Язык: Английский
Процитировано
0