A cross-sectional study on COVID19 mortality among people below 30 years of age in Tamilnadu-2020

Anand, V. Vijay; Yogaraj, G. Arunkumar; Priya, S; Raj, Pream; Priyadharshini, C. Brinda; Sridevi, P.

doi:10.1016/j.cegh.2021.100827

Cited by 3 publications

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Patients received different services, the number of which were provided to them. Other information included bed occupancy rate, the number of ED personnel, as well as the number of discharged and deceased patients during the last 24 h, which were also used in other dashboards related to COVID-19 (12,26,27). The indicators in this dashboard were classified according to the classification used by Yoo et al (16).…”

Section: Discussionmentioning

confidence: 99%

The Development of a Dashboard to the Emergency Department during COVID-19

2022

ircmj

View full text Add to dashboard Cite

Background: Information dashboards are useful tools for up-to-date decision-making by visualizing data. Objectives: This study aimed to report the development of a dashboard in the emergency department (ED) during COVID-19 in a big hospital in Iran. Methods: The authors developed a dashboard by user-centered design (UCD) methodology in four phases, namely specification of the context of use, specification of the requirements, creation of design solutions, and evaluation. Indicators were determined by reviewing previous studies and interviewing focus groups with an expert panel. The Power BI Desktop software was used for the development of the dashboard. Users’ comments about the dashboard were collected. The dashboard was then developed and revised according to the users’ feedback and suggestions. Finally, user satisfaction was evaluated. Results: The authors identified 30 indicators for COVID-19 ED, classified as input, output, and process indicators. The final version of the dashboard was implemented in 2021, and then 28 ED and managerial staff participated in the evaluation of the dashboard. The average score of the system usability scale of the dashboard was 84.10 points, and the situation awareness index was 3.97, which indicates “good” usability and situation awareness. Conclusion: This dashboard presented key managerial and clinical indicators for decision-making in ED. Future studies can be designed to develop dashboards for accidents and burns EDs and create emergency information dashboards for several hospitals for better management in times of crisis.

show abstract

Section: Discussionmentioning

confidence: 99%

The Development of a Dashboard to the Emergency Department during COVID-19

2022

ircmj

View full text Add to dashboard Cite

show abstract

Early Death Among COVID-19 Patients: A Cross-sectional Analysis of the First 10,000 COVID-19 Deaths from the Indian State of Tamil Nadu

Pilakkadavath,

Weinberg,

Kuriakose

et al. 2023

Dr. Sulaiman Al Habib Med J

View full text Add to dashboard Cite

Background Tamil Nadu state reported the second highest number of confirmed COVID-19 cases in India. In this study, we aimed to describe and determine the risk factors for early death among the first 10,000 COVID-19 deaths in the state. Methods We conducted a cross sectional analysis of state government administrative data to describe deaths, examine the differences between early deaths and non-early deaths, and calculate the risks of early death for several independent variables. All p-values < 0.05 were considered statistically significant. Results In total, 4147 early deaths (41.5%) were recorded; the median age of patients who suffered from early death was significantly lower [64 years; interquartile range (IQR): 55–72] when compared with patients who did not suffer from early death (65 years; IQR: 56–73). After adjusting for comorbidities, age, and the time elapsed from the onset of symptoms to hospitalization; we found that the risk of early death was significantly lower for males [adjusted odds ratio (aOR): 0.82; 95% confidence interval (CI): 0.72, 0.93; p = 0.002], among rich individuals (aOR: 0.76; 95% CI: 0.63, 0.92; p = 0.004), in the richest districts (aOR: 0.70; 95% CI: 0.59, 0.84; p < 0.001) and for those who received treatment in private facilities (aOR: 0.45; 95% CI: 0.40, 0.51; p < 0.001. Conclusions The risk of early deaths among the first 10,000 reported COVID deaths in the Tamil Nadu state of India was higher in patients treated in government hospitals especially in the poorest districts probably indicating a lack of infrastructure in government facilities or the overburdening of government facilities at least in the early phase of the pandemic.

show abstract

Analysis of daily COVID-19 death bulletin data during the first two waves of the COVID-19 pandemic in Thiruvananthapuram district, Kerala, India

Krishnan

Ravindran

Vincy

et al. 2022

Journal of Family Medicine and Primary Care

View full text Add to dashboard Cite

Context: Coronavirus disease 2019 (COVID-19) mortality trends can help discern the pattern of outbreak evolution and systemic responses. Aim: This study aimed to explore patterns of COVID-19 deaths in Thiruvananthapuram district from 31 March 2020 to 31 December 2021. Setting and Design: Secondary data analysis of COVID-19 deaths in Thiruvananthapuram district was performed. Materials and Methods: Mortality data were obtained from the district COVID-19 control room, and deaths in the first and second waves of COVID-19 were compared. Statistical Analysis: We summarised data as proportions and medians with the inter-quartile range (IQR) and performed Chi-square tests to make comparisons wherever applicable. Results: As on 31 December 2021, 4587 COVID-19 deaths were reported in Thiruvananthapuram district, with a case fatality rate of 0.91%. We observed high mortality among older persons (66.7%) and men (56.6%). The leading cause of death was bronchopneumonia (60.6%). The majority (88.5%) had co-morbidities, commonly diabetes mellitus (54.9%). The median interval from diagnosis to hospitalisation was 4 days (IQR 2–7), and that from hospitalisation to death was 2 days (IQR 0–6). The deaths reported during the second wave were four times higher than those of the first wave with a higher proportion of deaths in the absence of co-morbidities (p < 0.001). The majority of the deceased were unvaccinated. Ecological analysis with vaccine coverage data indicated 5.4 times higher mortality among unvaccinated than those who received two vaccine doses. Conclusions: The presence of co-morbidities, an unvaccinated status, and delay in hospitalisation were important reasons for COVID-19 deaths. Primary level health providers can potentially help sustaining vaccination, expeditious referral, and monitoring of COVID-19 patients.

show abstract

A cross-sectional study on COVID19 mortality among people below 30 years of age in Tamilnadu-2020

Cited by 3 publications

References 17 publications

The Development of a Dashboard to the Emergency Department during COVID-19

The Development of a Dashboard to the Emergency Department during COVID-19

Early Death Among COVID-19 Patients: A Cross-sectional Analysis of the First 10,000 COVID-19 Deaths from the Indian State of Tamil Nadu

Analysis of daily COVID-19 death bulletin data during the first two waves of the COVID-19 pandemic in Thiruvananthapuram district, Kerala, India

Contact Info

Product

Resources

About