COVID-19: An analysis on official reports in Iran and the world along with some comparisons to other hazards

Pouyan, Soheila; Bordbar, Mojgan; Khoshoui, Mojdeh Mohammadi; Rahmanian, Soroor; Farajzadeh, Z; Heidari, Bahram; Babaei, Sedigheh; Pourghasemi, Hamid Reza

doi:10.1016/b978-0-323-89861-4.00001-4

Cited by 2 publications

(3 citation statements)

References 31 publications

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“…While existing data indicates a positive correlation between the COVID-19 pandemic and levels of socio-economic development, concerns have been raised regarding the e cacy of current vaccines in halting transmission (3). Iran, among the top ten countries with the highest number of con rmed COVID-19 cases, has been signi cantly affected by the pandemic, underscoring the urgency of ongoing mitigation measures (4). The increasing number of COVID-19 cases, persisting even as of March 31, 2022, emphasizes the importance of sustained efforts to combat its impact (4).…”

Section: Introductionmentioning

confidence: 99%

“…Iran, among the top ten countries with the highest number of con rmed COVID-19 cases, has been signi cantly affected by the pandemic, underscoring the urgency of ongoing mitigation measures (4). The increasing number of COVID-19 cases, persisting even as of March 31, 2022, emphasizes the importance of sustained efforts to combat its impact (4). The increasing number of COVID-19 cases, persisting even as of March 31, 2022, emphasizes the importance of sustained efforts to combat its impact (5).…”

Section: Introductionmentioning

confidence: 99%

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Geospatial analysis of Covid-19 mortality linked to environmental risk factors in Iran- 2019-2021

Kalankesh,

Golamnia,

Hajighasemkhani

et al. 2024

Preprint

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Objectives This study aims to investigate the impact of various demographic, environmental, and topographical factors on COVID-19 mortality rates in different geographical provinces of Iran. Methods The research utilized data from DATASUS (Ministry of Health), International Classification of Diseases (ICD-10), WorldClimV1, Sentinel-5P TROPOMI-based datasets, Open Street Map (OSM), and the Shuttle Radar Topography Mission satellite (SRTM) to gather mortality, demographic, environmental, and topographical data, evaluating them by sex, age group, and province. The analysis employed Geographic Information Systems methodology and logistic regression. Results Higher mortality rates were observed in the central and southern regions, with West Azerbaijan and Sistan-Baluchestan provinces showing elevated rates compared to their population sizes. Additionally, South Khorasan, Sistan-Baluchestan, Semnan, Bushehr, and Ilam provinces exhibited higher mortality ratios relative to mean temperature. The central and southern provinces displayed a higher ratio of air pollution concerning Covid-19 mortality, notably around Uremia Lake, showing a significant correlation. Logistic regression analysis revealed positive correlations of NO2 and O3 with Covid-19 mortality, while CO2 and SO2 showed negative correlations. Furthermore, population, population density, and area emerged as the most influential factors affecting the Covid-19 mortality rate. Conclusions The findings of this study offer valuable insights for policymakers and public health officials to develop targeted interventions for reducing the virus's impact in high-risk areas and enhancing healthcare resources and infrastructure in urban settings.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Geospatial analysis of Covid-19 mortality linked to environmental risk factors in Iran- 2019-2021

Kalankesh,

Golamnia,

Hajighasemkhani

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Then the virus quickly spread around the world; in March 2020, COVID-19 was declared the first pandemic of the century by WHO ( 1 – 3 ). Unfortunately, before the extensive National Immunization Program against COVID-19, Iran's official COVID-19 mortality rate was significantly higher than the global average ( 4 , 5 ).…”

Section: Introductionmentioning

confidence: 99%

Association of polymorphisms in TLR3 and TLR7 genes with susceptibility to COVID-19 among Iranian population: a retrospective case-control study

Parsania,

Seyed Khorrami,

Hasanzad

et al. 2024

IJM

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Background and Objectives: Host genetic changes like single nucleotide polymorphisms (SNPs) are one of the main fac- tors influencing susceptibility to viral infectious diseases. This study aimed to investigate the association between the host SNP of Toll-Like Receptor3 (TLR3) and Toll-Like Receptor7 (TLR7) genes involved in the immune system and susceptibil- ity to COVID-19 in a sample of the Iranian population. Materials and Methods: This retrospective case-control study evaluated 244 hospitalized COVID-19 patients as the case group and 156 suspected COVID-19 patients with mild signs as the control group. The genomic DNA of patients was gen- otyped for TLR7 (rs179008 and rs179009) and TLR3 (rs3775291 and rs3775296) SNPs using the polymerase chain reac- tion-restriction fragment length polymorphism (PCR-RFLP) method. Results: A significant association between rs179008 SNP in the TLR7 gene and the susceptibility of COVID-19 was found between case and control groups. The AT genotype (Heterozygous) of TLR7 rs179008 A>T polymorphism showed a sig- nificant association with a 2.261-fold increased odds of COVID-19 (P=0.003; adjusted OR: 2.261; 99% CI: 1.117-4.575). In addition, a significant association between TC genotype of TLR7 rs179009 T>C polymorphism and increased odds of COVID-19 (P< 0.0001; adjusted OR: 6.818; 99% CI: 3.149-14.134) were determined. The polymorphism frequency of TLR3 rs3775291 and rs3775296 genotypes were not significantly different between the case and control groups (P> 0.004167). Conclusion: SNPs in TLR7 rs179008 and rs179009 genotypes are considered host genetic factors that could be influenced individual susceptibility to COVID-19. The SNPs in TLR3 (rs3775296 and rs3775291) showed no significant association with COVID-19 in Iranian population.

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COVID-19: An analysis on official reports in Iran and the world along with some comparisons to other hazards

Cited by 2 publications

References 31 publications

Geospatial analysis of Covid-19 mortality linked to environmental risk factors in Iran- 2019-2021

Geospatial analysis of Covid-19 mortality linked to environmental risk factors in Iran- 2019-2021

Association of polymorphisms in TLR3 and TLR7 genes with susceptibility to COVID-19 among Iranian population: a retrospective case-control study

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