Assessment of COVID-19 impact on sustainable development goals indicators in Egypt using fuzzy analytic hierarchy process

Marzouk, Mohamed; Elshaboury, Nehal; Azab, Shimaa; Megahed, Alaa; Metawie, Mahmoud

doi:10.1016/j.ijdrr.2022.103319

Cited by 11 publications

(6 citation statements)

References 32 publications

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“…33,34 COVID-19 deaths acted as an indicator for policymakers and medical professionals to take necessary decisions and proper infrastructural developments to try and control the pandemic. [35][36][37] The excess mortality rate, due to COVID-19, created additional burdens on countries in terms of healthcare, finance and life expectancy. 38,39 However, due to differences in time zones, geographical composition, implementation and duration of lockdowns, 40,41 along with socioeconomic conditions in different countries, exact reporting of cases and deaths due to COVID-19…”

Section: Discussionmentioning

confidence: 99%

“…Social constraints caused by the pandemic 29 compelled people to acclimatize themselves for solitude that then led to increases in the prevalence of familial violence, 30 depression, 31,32 anxiety 31,32 and posttraumatic stress disorder 33,34 . COVID‐19 deaths acted as an indicator for policymakers and medical professionals to take necessary decisions and proper infrastructural developments to try and control the pandemic 35–37 …”

Section: Discussionmentioning

confidence: 99%

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Evaluation of concordance in estimation of excess mortality due to COVID‐19 pandemic

Verma

Nath²,

Khan

2023

Evaluation Clinical Practice

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BackgroundThe World Health Organization (WHO) kept track of COVID‐19 data at country level daily during the pandemic that included the number of tests, infected cases and fatalities. This daily record was susceptible to change depending on the time and place and impacted by underreporting. In addition to reporting cases of excess COVID‐19‐related deaths, the WHO also provided estimates of excess mortality based on mathematical models.ObjectiveTo evaluate the WHO reported and model‐based estimate of excess deaths to determine the degree of agreement and universality.MethodologyEpidemiological data gathered from nine different countries between April 2020 and December 2021 are used in this study. These countries are India, Indonesia, Italy, Russia, United Kingdom, Mexico, the United States, Brazil and Peru and each of them recorded more than 1.5 million deaths from COVID‐19 during these months. Statistical tools including correlation, linear regression, intraclass correlation and Bland–Altman plots are used to assess the degree of agreement between reported and model‐based estimates of excess deaths.ResultsThe WHO‐derived mathematical model for estimating excess deaths due to COVID‐19 was found to be appropriate for only four of the nine chosen countries, namely Italy, United Kingdom, the United States and Brazil. The other countries showed proportional biases and significantly high regression coefficients.ConclusionThe study revealed that, for some of the chosen nations, the mathematical model proposed by the WHO is practical and capable of estimating the number of excess deaths brought on by COVID‐19. However, the derived approach cannot be applied globally.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Evaluation of concordance in estimation of excess mortality due to COVID‐19 pandemic

Verma

Nath²,

Khan

2023

Evaluation Clinical Practice

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“…Article [16] contains the results of evaluating changes in the indicators of individual goals, in particular SDG8, due to the negative manifestation of the COVID-19 pandemic. Based on expert data, a ranking of indicators corresponding to the goals selected for analysis was conducted.…”

Section: Literature Reviewmentioning

confidence: 99%

Post-COVID-19 economic recovery in the context of SDG8 and SDG9: the case of selected Eastern European countries

Hryhoruk,

Khrushch,

Grygoruk

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Assessing the economic development of countries in the context of the tasks defined in the UN 2030 Agenda for Sustainable Development is essential from the point of view of determining progress in achieving the SDGs. It becomes especially relevant in periods of global challenges and disturbances, one of which is the COVID-19 pandemic. The goals of SDG8 and SDG9 contain indicators that are determined mainly by the state of development of the country’s economy, so the analysis of trends in their changes is important in the context of identifying trends in economic growth in general, as well as for evaluating progress in achieving these goals. The purpose of the study is to identify the impact of the COVID-19 pandemic on the economic development of countries to achieve sustainable development goals and assess progress trends in the post-pandemic recovery of the economies of Eastern Europe by analyzing quantitative data from official statistical sources. The object of the study is the economic development of Eastern European countries in the conditions of the COVID-19 pandemic. The study period covers the time range from 2017 to 2021 and includes both the pre-pandemic and pandemic periods. Eight countries of Eastern Europe were chosen as research objects. Indicators of official statistics related to SDG8 and SDG9 sub-goals were selected for analysis. The study showed a significant decrease in the values of most indicators, which was caused by the destructive effect of the pandemic. To assess the possible development trajectory, we calculated the estimated value of indicators for 2022 using the Holt-Winters method. The results showed that, despite some progress in 2021, in 2022, the values of the indicators are decreasing. Such estimates correspond to the trends provided by international institutions. We have built a composite indicator to assess the economic development trend comprehensively. The results of the evaluation confirmed the general trend towards a decrease in the level of economic growth in the context of the goals of SDG8 and SDG9 for all the countries of Eastern Europe selected in the study.

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“…For instance, in a study involving four experts in municipal services, the AHP method was employed to define dimension weights for evaluating the quality of residential municipal services in the Dhaka North City Corporation area, Bangladesh [39] . In a study to determine the impacts of COVID-19 on indicators of Sustainable Development Goals in Egypt, 10 experts were chosen from the Institute of National Planning, Universiy, and the Ministry of housing [40] . In Iraq, with the objective of determining the weights for urban sustainability indicators, 20 experts were selected from various key interest groups, including academia, the government, and the private sector [ 16 ].…”

Section: Preparing a Ahp Study (Phase Two)mentioning

confidence: 99%

“…The panel of experts was carefully designed to admit opinions from various fields related to urban sustainability assessment. Three interest groups were established: academics, independent professionals (urban domain specialists), and public workers [ [16] , [40] ]. The first group consisted of academics from different local universities engaged in research and scientific publications on sustainable development.…”

Section: Preparing a Ahp Study (Phase Two)mentioning

confidence: 99%

Lessons learned from a study based on the AHP method for the assessment of sustainability in neighborhoods

Guillén-Mena,

Quesada-Molina,

Astudillo-Cordero

et al. 2023

MethodsX

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Assessment of COVID-19 impact on sustainable development goals indicators in Egypt using fuzzy analytic hierarchy process

Cited by 11 publications

References 32 publications

Evaluation of concordance in estimation of excess mortality due to COVID‐19 pandemic

Evaluation of concordance in estimation of excess mortality due to COVID‐19 pandemic

Post-COVID-19 economic recovery in the context of SDG8 and SDG9: the case of selected Eastern European countries

Lessons learned from a study based on the AHP method for the assessment of sustainability in neighborhoods

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