GIS-Based Analysis Framework to Identify the Determinants of COVID-19 Incidence and Fatality in Africa

Hassaan, Mahmoud A.; Abdelwahab, Rofida G.; Elbarky, Toka A; Ghazy, Ramy Mohamed

doi:10.1177/21501327211041208

Cited by 16 publications

(19 citation statements)

References 41 publications

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“…More than 2 years have passed since the World Health Organization (WHO) first announcement of coronavirus disease 2019 (COVID-19) as a worldwide pandemic ( 1 ). Indeed, COVID-19 was characterized by variable patterns of spread and mortality rates across different world regions ( 2 , 3 ). This pandemic impacted all of the 22 members of the Arab League countries.…”

Section: Introductionmentioning

confidence: 99%

Quality of life among health care workers in Arab countries 2 years after COVID-19 pandemic

Ghazy

Fiidow

Abdullah

et al. 2022

Front. Public Health

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BackgroundAssessment of the quality of life (QoL) among healthcare workers (HCWs) is vital for better healthcare and is an essential indicator for competent health service delivery. Since the coronavirus disease 2019 (COVID-19) pandemic strike, the frontline position of HCWs subjected them to tremendous mental and psychological burden with a high risk of virus acquisition.AimThis study evaluated the QoL and its influencing factors among HCWs residing in the Arab countries.MethodsThis was a cross-sectional study using a self-administered online questionnaire based on the World Health Organization QoL-BREF instrument with additional questions related to COVID-19. The study was conducted in three different languages (Arabic, English, and French) across 19 Arab countries between February 22 and March 24, 2022.ResultsA total of 3,170 HCWs were included in the survey. The majority were females (75.3%), aged 18–40 years (76.4%), urban residents (90.4%), married (54.5%), and were living in middle-income countries (72.0%). The mean scores of general health and general QoL were 3.7 ± 1.0 and 3.7 ± 0.9, respectively. Those who attained average physical, psychological, social, and environmental QoL were 40.8, 15.4, 26.2, and 22.3%, respectively. The income per capita and country income affected the mean scores of all QoL domains. Previous COVID-19 infection, having relatives who died of COVID-19, and being vaccinated against COVID-19 significantly affected the mean scores of different domains.ConclusionA large proportion of the Arab HCWs evaluated in this study had an overall poor QoL. More attention should be directed to this vulnerable group to ensure their productivity and service provision.

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Section: Introductionmentioning

confidence: 99%

Quality of life among health care workers in Arab countries 2 years after COVID-19 pandemic

Ghazy

Fiidow

Abdullah

et al. 2022

Front. Public Health

Self Cite

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“…Four studies used the global Moran’s I index to determine the clustering patterns. 17 18 23 25 Two studies used hot spot analysis to identify the location with the highest incidence. Specifically, the Getis-Ord Gi (Gi*) statistic for each class of COVID-19 case intensity represented the z-score, with higher positive z-values being considered hot spots while smaller and negative z-values were taken as insignificant and thus discarded.…”

Section: Resultsmentioning

confidence: 99%

Spatial and spatio-temporal epidemiological approaches to inform COVID-19 surveillance and control: a systematic review of statistical and modelling methods in Africa

et al. 2023

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ObjectiveVarious studies have been published to better understand the underlying spatial and temporal dynamics of COVID-19. This review sought to identify different spatial and spatio-temporal modelling methods that have been applied to COVID-19 and examine influential covariates that have been reportedly associated with its risk in Africa.DesignSystematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.Data sourcesThematically mined keywords were used to identify refereed studies conducted between January 2020 and February 2022 from the following databases: PubMed, Scopus, MEDLINE via Proquest, CINHAL via EBSCOhost and Coronavirus Research Database via ProQuest. A manual search through the reference list of studies was also conducted.Eligibility criteria for selecting studiesPeer-reviewed studies that demonstrated the application of spatial and temporal approaches to COVID-19 outcomes.Data extraction and synthesisA standardised extraction form based on critical appraisal and data extraction for systematic reviews of prediction modelling studies checklist was used to extract the meta-data of the included studies. A validated scoring criterion was used to assess studies based on their methodological relevance and quality.ResultsAmong 2065 hits in five databases, title and abstract screening yielded 827 studies of which 22 were synthesised and qualitatively analysed. The most common socioeconomic variable was population density. HIV prevalence was the most common epidemiological indicator, while temperature was the most common environmental indicator. Thirteen studies (59%) implemented diverse formulations of spatial and spatio-temporal models incorporating unmeasured factors of COVID-19 and the subtle influence of time and space. Cluster analyses were used across seven studies (32%) to explore COVID-19 variation and determine whether observed patterns were random.ConclusionCOVID-19 modelling in Africa is still in its infancy, and a range of spatial and spatio-temporal methods have been employed across diverse settings. Strengthening routine data systems remains critical for generating estimates and understanding factors that drive spatial variation in vulnerable populations and temporal variation in pandemic progression.PROSPERO registration numberCRD42021279767.

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“…JHUM, 2020). Even though mapping of risk or correlations is advancing (e.g., Al‐Kindi et al., 2020; Hassaan et al., 2021) the potential of GIS as a helping tool to understand COVID‐19 is far from being fully utilized (Ahasan & Hossain, 2021). We here integrate GIS and statistics to find both a (visualized) pattern and statistical correlations between COVID‐19 and environmental factors.…”

Section: Methodsmentioning

confidence: 99%

Lower COVID‐19 Incidence in Low‐Continentality West‐Coast Areas of Europe

2022

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In March 2020, the first known cases of the COVID-19 pandemic, caused by the respiratory virus SARS-CoV-2, occurred in European countries (JHUM, 2020;Ritchie et al., 2020). Since that time, scientists from many fields have been trying to understand conditions that lead some areas to have rampant COVID-19 outbreaks while other areas are spared. Identifying which areas have higher versus lower overall COVID-19 spread and unraveling factors that differ between them can help health care decision makers to better understand and prepare for future waves of the pandemic. In this study, we examine how two environmental factors, Köppen-Geiger climate zones and the Continentality Index, relate to total COVID-19 incidence between March 2020 and July 2021 in municipalities and counties in 5 European countries (Norway, Sweden, Germany, Italy, and Spain) while statistically controlling for crowding.

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GIS-Based Analysis Framework to Identify the Determinants of COVID-19 Incidence and Fatality in Africa

Cited by 16 publications

References 41 publications

Quality of life among health care workers in Arab countries 2 years after COVID-19 pandemic

Quality of life among health care workers in Arab countries 2 years after COVID-19 pandemic

Spatial and spatio-temporal epidemiological approaches to inform COVID-19 surveillance and control: a systematic review of statistical and modelling methods in Africa

Lower COVID‐19 Incidence in Low‐Continentality West‐Coast Areas of Europe

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