Clinical Features and Time to Recovery of Admitted COVID-19 Cases at Dilla University Referral Hospital Treatment Center, South Ethiopia

Churiso, Gemechu; Diriba, Kuma; Girma, Henok; Tafere, Soressa

doi:10.2147/idr.s356606

Cited by 8 publications

(8 citation statements)

References 46 publications

(37 reference statements)

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“…In this study majority of patients were male (62.6%) this finding was in line within most literatures elsewhere in Pakistan (70.25 %) [11] Wuhan from China (53.8%) [12] Northern Ethiopia (63.3%) [17], (south Ethiopia (55.9%) [20] (Addis Ababa (71%) [26] Ethiopia treatment center (69.5%) [23]. This finding suggested that the prevalence of COVID-19 infections was highest among males.…”

Section: Discussionsupporting

confidence: 91%

“…Regarding death and sex in our study, 62.6% of dead patients were male, this is higher than the study conducted in Brazil [15] (55.4%) Dilla University [20] (57.1%), but also lower than (71%) study conducted in Ethiopia [26].…”

Section: Discussioncontrasting

confidence: 78%

“…Our findings showed that among recovered patients (16.4%) were beyond the age group of 50 years, while (27.6%) were between 30-49, whereas (56.0%) were <30 years, and (62.3%) were male. This finding is lower for the age group of 50 years (48.5%), and between 30-49 years (27.6%), but higher for less than 30 years (56.0%) and male sex (62.3%) when compared with the study conducted in Dill University [20]. This may be due to difference in sample size and socio-demography.…”

Section: Discussioncontrasting

confidence: 55%

“…On the contrary, it was higher than study conducted in China Cough 13 (100%) and Fatigue 8 (61.54%) [12] and Dilla University Referral Hospital Treatment Center cough (95%), shortness of breath (69.5%) [20] This variation may be due to sample size, study population and living area. In our study, most deaths happened in males (62.6%) than in female sex; this finding was in line with a study conducted in Brazil [15], Dilla University Referral Hospital Treatment Center [20], and Addis Ababa [26].…”

Section: Discussionmentioning

confidence: 59%

“…COVID -19 patients may have different clinical features, in our study the most prevalent clinical manifestation were cough (91.4%) shortness of breath (43.9%), and generalized body weakness (43%) the finding is lower than study conducted in Boru-Meda Hospital cough (67.1%) and shortness of breath (31.5%) [23]. On the contrary, it was higher than study conducted in China Cough 13 (100%) and Fatigue 8 (61.54%) [12] and Dilla University Referral Hospital Treatment Center cough (95%), shortness of breath (69.5%) [20] This variation may be due to sample size, study population and living area. In our study, most deaths happened in males (62.6%) than in female sex; this finding was in line with a study conducted in Brazil [15], Dilla University Referral Hospital Treatment Center [20], and Addis Ababa [26].…”

Section: Discussionmentioning

confidence: 78%

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Determining Clinical Features & Treatment Outcomes of SARSCoV-2 Infected and Hospitalized Patients in Eastern Ethiopia

Zewde¹,

Feleke²,

Alemayehu³

2022

J Clin Image & Rep

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Background: COVID-19 is not well studied in Ethiopia, especially in the eastern parts of the country. Determining the clinical profile and treatment outcome of COVID-19 cases will help to plan better prevention and treatment strategies considering the local context. So, this study attempted to investigate and describe the Clinical characteristics and outcomes among hospitalized COVID-19 patients. Methodology: Institutional based retrospective study design was used. The data extraction tool was prepared by using the COVID-19 log-book template and data was collected from 2091 COVID-19 confirmed patients using RT-PCR (real-time polymerase chain reaction) testing method who were admitted at three COVID-19 treatment centers from 21-May-2020 to 02-Aug-2021. Data was entered in Epi-data version 3.2 and analysis was done by SPSS version 25.0. Descriptive statistics proportions, percentages, ratios, frequency distributions, measures of central tendency, and dispersion were used. The result was presented in thefigure and table. Result: A total of 2019 patients were analyzed. In this study majority, 1309 (62.6%) of patients were male and the age ranges of patients were from 8 months up to 100 years with a mean age of 33 years and the most predominant age groups were less than 30 years. Around a quarter of 478 (22.9%) patients were symptomatic and the three most common symptoms manifested were cough 437 (20.9%), shortness of breath 210 (10%), and generalized body weakness 206 (9.9%). The prevalence of comorbidity was 105 (5%), of which DM 37 (1.8%), Hypertension 22 (1.1%) and CVD 15 (0.7%) were the most common. In this study 1992 (95.3%) of COVID-19 patients were recovered and 77 (3.7%) died. Conclusion: This institutional-based COVID-19 register review showed that the most common clinical manifestation were cough, shortness of breath, and generalized body weakness and among the admitted patients male accounts for the lion shares of the number. Majority of patients were asymptomatic this will increase asymptomatic transmission in the community, thus effort community mass screening intervention is important.

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Section: Discussionsupporting

confidence: 91%

Section: Discussioncontrasting

confidence: 78%

Section: Discussioncontrasting

confidence: 55%

Section: Discussionmentioning

confidence: 59%

Section: Discussionmentioning

confidence: 78%

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Determining Clinical Features & Treatment Outcomes of SARSCoV-2 Infected and Hospitalized Patients in Eastern Ethiopia

Zewde¹,

Feleke²,

Alemayehu³

2022

J Clin Image & Rep

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Time to recovery and determinant factors of COVID-19 patients under treatment in Sidama region, Ethiopia: A retrospective cohort study

Fantaw,

Debeko

2024

Heliyon

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Integrate-and-fire model of disease transmission

Hussain,

Meine,

Vvedensky

2024

Phys. Rev. E

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We create an epidemiological susceptible-infected-susceptible model of disease transmission using integrate-and-fire nodes on a network, allowing memory of previous interactions and infections. Agents in the network sum infectious matter from their nearest neighbors at every time step, until they exceed their infection threshold, at which point they “fire” and become infected for as long as the recovery time. The model has memory of previous interactions by tracking the amount of infectious matter carried by agents as well as just binary infected or susceptible states, and the model has memory of previous infections by modeling immunity as increasing the infection threshold after recovery. Creating a simulation of the model on networks with a power-law degree distribution and homogeneous agent parameters, we find a single strain version of the model matches well with the England COVID-19 case data, with a root-mean-squared error of 0.014%. A simulation of a multistrain version of the model (where there is cross-strain immunity) matches well with the influenza strain A and strain B case numbers in Canada, with a root-mean-squared error of 0.002% and 0.0012%, respectively, though due to the coupling in the model, both strains peak in phase. Since the dynamics of the model successfully capture real-life transmission dynamics, we test interventions to study their effect on case numbers, with both quarantining and social gathering restrictions lowering the peak. Since the model has memory, the stricter the intervention, the higher the secondary peak when the restriction is removed, showing that interventions change only the shape of the curves and not the overall number infected in the population. Published by the American Physical Society 2024

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Clinical Features and Time to Recovery of Admitted COVID-19 Cases at Dilla University Referral Hospital Treatment Center, South Ethiopia

Cited by 8 publications

References 46 publications

Determining Clinical Features & Treatment Outcomes of SARSCoV-2 Infected and Hospitalized Patients in Eastern Ethiopia

Determining Clinical Features & Treatment Outcomes of SARSCoV-2 Infected and Hospitalized Patients in Eastern Ethiopia

Time to recovery and determinant factors of COVID-19 patients under treatment in Sidama region, Ethiopia: A retrospective cohort study

Integrate-and-fire model of disease transmission

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