Association between COVID-19 incidence and outcome and national development levels: An ecologic analysis

Mo, Chunbao; Mo, Xiaoting; Mai, Tingyu; Cai, Jiansheng; Xu, Xia; Nong, Chuntao; Tan, Dechan; Liu, Shuzhen; Xu, Min; Lu, Huaxiang; Luo, Tingyu; Li, You; Qin, Jian; Zhang, Zhiyong

doi:10.2306/scienceasia1513-1874.2021.031

Cited by 2 publications

(1 citation statement)

References 31 publications

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“…Travelers should limit unnecessary activities and maintain contact distance (≥1 meter) with other people. Those who do not have a travel history but have positive PCR results for COVID-19 will likely experience local transmission [13], [19].…”

Section: Discussionmentioning

confidence: 99%

Risk factors of COVID-19 disease confirmed cases in Solok District

Nuraisyah,

Irjayanti,

Irmanto

et al. 2024

IJPHS

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According to West Sumatra corona virus data, Solok Regency has the highest prevalence of positive confirmed cases of COVID-19 in West Sumatra, and one of the areas where the prevalence has increased significantly. Analysis of risk factors for COVID-19 cases in Solok Regency in 2021. We conducted a cross-sectional study analysis of secondary data from March to December 2020 with a mass randomized trial using the polymerase chain reaction (PCR) test in Solok Regency. Descriptive statistical analysis was used with secondary data relevant, and a logistic regression model was used to assess infection risk factors. A total of the 770 participants, 47.4% were women and 66% were aged 50-64 years. A total of 624 participants tested (81.03%) were identified as asymptomatic PCR SARS-CoV infection without symptoms, with 88% of participants with co-morbidities and 66% of participants without travel history. Based on the results obtained a significant relationship between history of comorbidities (p-value=0.00; AOR=0.16; 95% CI=0.08-0.32), clinical symptoms (p-value=0.00; AOR=0.04; 95% CI=0.03-0.08), and travel history (p-value=0.00, AOR=1.80, 95% CI=1.25-2.61). The majority of cases that were confirmed positive for COVID-19 based on the PCR test showed no symptoms, with co-morbidities and travel history. Confirmed positive cases of COVID-19 are associated with co-morbidities, symptoms and travel history.

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Section: Discussionmentioning

confidence: 99%

Risk factors of COVID-19 disease confirmed cases in Solok District

Nuraisyah,

Irjayanti,

Irmanto

et al. 2024

IJPHS

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Application and practice of LILCEO sintering proportion optimization algorithm in sintering plant

Yi,

Ren,

Wang

et al. 2024

SSMT

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Purpose To ensure the stable operation of ironmaking process and the quality and output of sinter, the multi-objective optimization of sintering machine batching process was carried out. Design/methodology/approach The purpose of this study is to establish a multi-objective optimization model with iron taste content and batch cost as targets, constrained by field process requirements and sinter quality standards, and to propose an improved balance optimizer algorithm (LILCEO) based on a lens imaging anti-learning mechanism and a population redundancy error correction mechanism. In this method, the lens imaging inverse learning strategy is introduced to initialize the population, improve the population diversity in the early iteration period, avoid falling into local optimal in the late iteration period and improve the population redundancy error correction mechanism to accelerate the convergence rate in the early iteration period. Findings By selecting nine standard test functions of BT series for simulation experiments, and comparing with NSGA-?, MOEAD, EO, LMOCSO, NMPSO and other mainstream optimization algorithms, the experimental results verify the superior performance of the improved algorithm. The results show that the algorithm can effectively reduce the cost of sintering ingredients while ensuring the iron taste of sinter, which is of great significance for the comprehensive utilization and quality assurance of sinter iron ore resources. Originality/value An optimization model with dual objectives of TFe content and raw material cost was developed taking into account the chemical composition and quality indicators required by the blast furnace as well as factors such as raw material inventory and cost constraints. This model was used to adjust and optimize the sintering raw material ratio. Addressing the limitations of existing optimization algorithms for sintering raw materials including low convergence accuracy slow speed limited initial solution production and difficulty in practical application we proposed the LILCEO algorithm. Comparative tests with NSGA-III MOEAD EO LMOCSO and NMPSO algorithms demonstrated the superiority of the proposed algorithm. Practical applications showed that the proposed method effectively overcomes many limitations of the current manual raw material ratio model providing scientific and stable decision-making guidance for sintering production operations.

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Association between COVID-19 incidence and outcome and national development levels: An ecologic analysis

Cited by 2 publications

References 31 publications

Risk factors of COVID-19 disease confirmed cases in Solok District

Risk factors of COVID-19 disease confirmed cases in Solok District

Application and practice of LILCEO sintering proportion optimization algorithm in sintering plant

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