Predictors and time to recovery from COVID-19 among patients attended to at treatment centers in Ekiti State, South West, Nigeria

Ibitoye, Oluwabunmi Samuel; Olasunkanmi, Yusuff; Olowolafe, Tubosun Alex; Olabode, Aderemi Temitayo; Salawu, Mobolaji M.; Afolabi, Rotimi Felix

doi:10.11604/pamj.2022.42.18.33791

Cited by 5 publications

(2 citation statements)

References 25 publications

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“…In addition, a study conducted in Padang observed that females tended to recover more quickly than males, although the difference was not statistically significant (26). These inconsistent results indicate that the recovery time of COVID-19 patients may vary depending on factors such as age, clinical conditions, and medical management (27).…”

Section: Discussionmentioning

confidence: 94%

Time to Recovery From Covid-19 Among Patients in Sidoarjo Regency, East Java Province, Indonesia in 2022

Farakhin,

Choirul Hidajah,

Gumilang

et al. 2024

JBE

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Background: The SARS-CoV-2 mutation in the bodies of COVID-19 patients is a critical factor for health. Notably, in October 2022, the disease recovery rate in Sidoarjo (96.05%) was lower than the national rate (97.30%). Purpose: This study aims to identify the recovery time and its influencing factors in COVID-19 patients in Sidoarjo. Methods: The life-table method was used to conduct a survival analysis on data from the NAR COVID-19 dashboard in Sidoarjo from January 3 to August 4, 2022, which involved 20,662 respondents. Age group, sex, treatment status, and testing purpose were analyzed. Results: The majority of COVID-19 patients were females (50.30%) aged 26-<46 years (46.24%). Most patients (64.74%) chose to self-isolate, and 63.34% were screened as COVID-19 positive. On average, patients recovered within seven days of diagnosis. The Wilcoxon (Gehan) statistical test yielded a p-value of less than 0.001 for all factors at a significance level of 0.05, indicating a significant difference in the survival time distribution. The age group with the shortest median recovery time was 6-<12 years at 7.03 days, while males had a median recovery time of at 7.66 days. Patients who self-isolated had a median recovery time of 7.16 days, and those who were tested for close contact purposes had a median recovery time of 7.65 days. Conclusion: The median recovery time for COVID-19 patients post-diagnosis was seven days. There was a significant difference in recovery time among the COVID-19 patients based on age group, sex, treatment status, and testing purpose.

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Section: Discussionmentioning

confidence: 94%

Time to Recovery From Covid-19 Among Patients in Sidoarjo Regency, East Java Province, Indonesia in 2022

Farakhin,

Choirul Hidajah,

Gumilang

et al. 2024

JBE

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“…Thus, the duration of IfW was assumed to be a weighted average of 22 days. In line with these considerations, international studies also estimate the time to recovery to be 21–22 days on average [ 42 , 43 , 44 ].…”

Section: Methodsmentioning

confidence: 99%

The German COVID-19 Digital Contact Tracing App: A Socioeconomic Evaluation

Ellmann

Maryschok

Schöffski

et al. 2022

IJERPH

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The COVID-19 pandemic posed challenges to governments in terms of contact tracing. Like many other countries, Germany introduced a mobile-phone-based digital contact tracing solution (“Corona Warn App”; CWA) in June 2020. At the time of its release, however, it was hard to assess how effective such a solution would be, and a political and societal debate arose regarding its efficiency, also in light of its high costs. This study aimed to analyze the effectiveness of the CWA, considering prevented infections, hospitalizations, intensive care treatments, and deaths. In addition, its efficiency was to be assessed from a monetary point of view, and factors with a significant influence on the effectiveness and efficiency of the CWA were to be determined. Mathematical and statistical modeling was used to calculate infection cases prevented by the CWA, along with the numbers of prevented complications (hospitalizations, intensive care treatments, deaths) using publicly available CWA download numbers and incidences over time. The monetized benefits of these prevented cases were quantified and offset against the costs incurred. Sensitivity analysis was used to identify factors critically influencing these parameters. Between June 2020 and April 2022, the CWA prevented 1.41 million infections, 17,200 hospitalizations, 4600 intensive care treatments, and 7200 deaths. After offsetting costs and benefits, the CWA had a net present value of EUR 765 m in April 2022. Both the effectiveness and efficiency of the CWA are decisively and disproportionately positively influenced by the highest possible adoption rate among the population and a high rate of positive infection test results shared via the CWA.

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Next-generation sequencing of host genetics risk factors associated with COVID-19 severity and long-COVID in Colombian population

Angulo-Aguado,

Carrillo-Martinez,

Contreras-Bravo

et al. 2024

Sci Rep

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Coronavirus disease 2019 (COVID-19) was considered a major public health burden worldwide. Multiple studies have shown that susceptibility to severe infections and the development of long-term symptoms is significantly influenced by viral and host factors. These findings have highlighted the potential of host genetic markers to identify high-risk individuals and develop target interventions to reduce morbimortality. Despite its importance, genetic host factors remain largely understudied in Latin-American populations. Using a case–control design and a custom next-generation sequencing (NGS) panel encompassing 81 genetic variants and 74 genes previously associated with COVID-19 severity and long-COVID, we analyzed 56 individuals with asymptomatic or mild COVID-19 and 56 severe and critical cases. In agreement with previous studies, our results support the association between several clinical variables, including male sex, obesity and common symptoms like cough and dyspnea, and severe COVID-19. Remarkably, thirteen genetic variants showed an association with COVID-19 severity. Among these variants, rs11385942 (p < 0.01; OR = 10.88; 95% CI = 1.36–86.51) located in the LZTFL1 gene, and rs35775079 (p = 0.02; OR = 8.53; 95% CI = 1.05–69.45) located in CCR3 showed the strongest associations. Various respiratory and systemic symptoms, along with the rs8178521 variant (p < 0.01; OR = 2.51; 95% CI = 1.27–4.94) in the IL10RB gene, were significantly associated with the presence of long-COVID. The results of the predictive model comparison showed that the mixed model, which incorporates genetic and non-genetic variables, outperforms clinical and genetic models. To our knowledge, this is the first study in Colombia and Latin-America proposing a predictive model for COVID-19 severity and long-COVID based on genomic analysis. Our study highlights the usefulness of genomic approaches to studying host genetic risk factors in specific populations. The methodology used allowed us to validate several genetic variants previously associated with COVID-19 severity and long-COVID. Finally, the integrated model illustrates the importance of considering genetic factors in precision medicine of infectious diseases.

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Predictors and time to recovery from COVID-19 among patients attended to at treatment centers in Ekiti State, South West, Nigeria

Cited by 5 publications

References 25 publications

Time to Recovery From Covid-19 Among Patients in Sidoarjo Regency, East Java Province, Indonesia in 2022

Time to Recovery From Covid-19 Among Patients in Sidoarjo Regency, East Java Province, Indonesia in 2022

The German COVID-19 Digital Contact Tracing App: A Socioeconomic Evaluation

Next-generation sequencing of host genetics risk factors associated with COVID-19 severity and long-COVID in Colombian population

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