Correlation between human development index and its components with COVID-19 indices: a global level ecologic study

Mirahmadizadeh, Alireza; Ghelichi-Ghojogh, Mousa; Vali, Mohebat; Jokari, Kimia; Ghaem, Haleh; Hemmati, Abdolrasool; Jafari, Fatemeh; Dehghani, Seyed Sina; Hassani, Amir Hossein; Jafari, Alireza; Rezaei, Fatemeh

doi:10.1186/s12889-022-13698-5

Cited by 16 publications

(18 citation statements)

References 29 publications

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“…Furthermore, in some Latin-American countries, it has been estimated that at least 20-40% of the case fatality rate depends on the HDI 10 . Across countries, countries with high HDI prevented more COVID-19 deaths, con rmed that the most signi cant fraction of their cases and deaths were due to COVID-19, and even had higher recovery rates 11,12 . However, contrary to expected, within Peru and during the deathliest COVID-19 waves, those districts with higher HDI had higher death counts.…”

Section: Discussionmentioning

confidence: 89%

Mortality from all causes before and during the COVID-19 pandemic in Peru: The role of sociodemographic factors and accessibility

Quispe

Vargas

Morales-García

et al. 2022

Preprint

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Peru suffered the highest mortality rates worldwide during the COVID-19 pandemic. In this study, we assessed the Peruvian districts' all causes of mortality-associated sociodemographic factors before and during the COVID-19 pandemic using mixed-effects Poisson regression models. During the pre-pandemic and the first four COVID-19 waves, the Peruvian districts reported mean weekly mortality of 22.3 (standard deviation 40.4), 29.2 (38.7), 32.5 (47.2), 26.8 (38.9), and 24.4 (38.0), respectively. We observed that before the COVID-19 pandemic, the districts' weekly deaths were associated with the human development index ((HDI) adjusted incidence rate ratio (aIRR) 0.11 (95% confidence interval 0.11–0.12)), accessibility (aIRR 0.99 (0.99–0.99)), poverty (aIRR 0.99 (0.99–0.99)), and anemia (aIRR 0.99 (0.99–0.99)). However, during each of the first four COVID-19 waves, the magnitude of association between the districts' weekly deaths and HDI decreased (first, aIRR 0.61 (0.58−0.64); second, aIRR 0.54 (0.52−0.57); third, aIRR 0.20 (0.19−0.22); fourth, aIRR 0.17 (0.15−0.19)), but the association with accessibility (aIRR 0.99 (0.99–0.99)), poverty (aIRR 0.99 (0.99–0.99)), and anemia (aIRR 0.99(0.99–0.99)) remain constant. Before and during the COVID-19 pandemic, a solid association existed between all-cause mortality and the district's sociodemographics, increasing with lower HDI, accessibility, poverty, and anemia rates.

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Section: Discussionmentioning

confidence: 89%

Mortality from all causes before and during the COVID-19 pandemic in Peru: The role of sociodemographic factors and accessibility

Quispe

Vargas

Morales-García

et al. 2022

Preprint

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“…Through CanScreen5 project of IARC we could have access to cancer screening performance data from selected LMICs. HDI has been observed to have a positive correlation with infection rate and COVID-19 mortality rate, primarily due to better quality of data available from countries with high HDI ( Liu et al, 2020; Mirahmadizadeh et al, 2022) . Population aging and higher prevalence of co-morbidities are also responsible for the positive correlation.…”

Section: Discussionmentioning

confidence: 99%

Quantification of impact of COVID-19 pandemic on cancer screening programmes -a case study from Argentina, Bangladesh, Colombia, Morocco, Sri Lanka and Thailand

Lucas

Murillo

Arrossi

et al. 2023

Preprint

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It is quite well-documented that the COVID-19 pandemic disrupted cancer screening services in all countries, irrespective of their resources and healthcare settings. While quantitative estimates on reduction in volume of screening tests or diagnostic evaluation are readily available from the high-income countries, very little data is available from the low- and middle-income countries (LMICs). From the CanScreen5 global cancer screening data repository we identified six LMICs through purposive sampling based on the availability of cancer screening data at least for the years 2019 and 2020. These countries represented different human development index (HDI) categories and were from Asia (Bangladesh and Thailand), Africa (Morocco) and Latin America (Argentina and Colombia). The reduction in the volume of tests in 2020 compared to the previous years ranged from 14.1% in Bangladesh to 72.9% in Argentina (regional programme) for cervical screening, from 14.1% in Bangladesh to 52.2% in Morocco for breast cancer screening and 30.7% in Thailand for colorectal cancer screening. Number of colposcopies was reduced in 2020 compared to previous year by 88.9% in Argentina, 38.2% in Colombia, 27.4% in Bangladesh and 52.3% in Morocco. The reduction in detection rates of CIN 2 or worse lesions ranged from 20.7% in Morocco to 45.4% in Argentina. Reduction of breast cancer detection by 19.2% was reported from Morocco. No association of the impact of pandemic could be seen with HDI categories. Quantifying the impact of service disruptions in screening and diagnostic tests will allow the programmes to strategize how to ramp up services to clear the backlogs in screening and more crucially in further evaluation of screen-positives. The data can be used to estimate the impact on stage distribution and avoidable mortality from these common cancers.

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“…This survey is an ecological study, so all studied variables were aggregate variables. Details to collect the COVID-19 indices have already been published ( Mirahmadizadeh, Ghelichi-Ghojogh, et al, 2022 ; Mirahmadizadeh, Rezaei, et al, 2022 ). Briefly, to collect the variables in the study, a data set was provided which included the information of each country regarding the cumulative case, cumulative deaths, case fatality rate, recovery rate, and the number of performed COVID-19 tests.…”

Section: Methodsmentioning

confidence: 99%

Correlation Between Diabetes and COVID-19 Indices: A Global Level Ecological Study

et al. 2023

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Introduction Coronavirus is threatening the global public health as a new and widespread crisis. The researchers must keep in mind that one of the most vulnerable groups to COVID-19 are the people with underlying diseases, especially diabetes. Objective This ecological study aimed to investigate the correlation between diabetes and the epidemiological indices of COVID-19. Methods This ecological study included 144 countries. Their available data consists of the cumulative incidence rate of cases, cumulative incidence rate of death, recovery rate, case fatality rate, and performed tests of COVID-19, and diabetes. To collect the variables, a data set was provided which included the information of 144 countries based on diabetes and COVID-19 indices. Spearman coefficients were used for assess correlation between diabetes and COVID-19 indices. Also, Scatter plots of diabetes for the studied countries were drawn based on cumulative incidence rate of cases, cumulative incidence rate of death, tests, recovery rate, and case fatality rate of COVID-19. Results The results of this ecological study showed in total countries, there was a weak positive correlation between diabetes and cumulative incidence rate of cases and also cumulative incidence rate of death. Correlation between diabetes with test of COVID-19 was very weak. Scatter plots showed a weak liner correlation between diabetes and cumulative incidence rate of cases, cumulative incidence rate of death and test of COVID-19. Conclusions In this study, there was a weak positive correlation between diabetes and cumulative incidence rate of cases, cumulative incidence rate of death, and performed test of COVID-19. This disease is an enormous challenge for health policymakers; therefore, it is necessary to develop strategies and practical guidelines specific to each region to take the necessary care, especially for diabetic patients.

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Correlation between human development index and its components with COVID-19 indices: a global level ecologic study

Cited by 16 publications

References 29 publications

Mortality from all causes before and during the COVID-19 pandemic in Peru: The role of sociodemographic factors and accessibility

Mortality from all causes before and during the COVID-19 pandemic in Peru: The role of sociodemographic factors and accessibility

Quantification of impact of COVID-19 pandemic on cancer screening programmes -a case study from Argentina, Bangladesh, Colombia, Morocco, Sri Lanka and Thailand

Correlation Between Diabetes and COVID-19 Indices: A Global Level Ecological Study

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