ABSTRACT
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.
ABSTRACT
Globally, the coronavirus disease 2019 (COVID-19) pandemic has resulted in several psychosocial manifestations across all socioeconomic strata. This study attempted to explore the details of a psychosocial support system implemented in Kerala, India, to address psychosocial issues during this pandemic. It employed a descriptive approach using qualitative and quantitative methods. The results can be summarized into 4 overarching themes: (1) process of implementation, (2) issues addressed, (3) experiences, and (4) success stories. This intervention targeted the whole population, with a specific focus on quarantined/isolated individuals and selected vulnerable groups. COVID pandemic has sowed several negative emotions, such as anxiety; and stigma and fearful thoughts, including suicidal ideations; trepidation regarding family members; and misinfodemics in general. Social and religious corollaries of the pandemic have intensified the psychological agony. The study provides an overview of the psychosocial intervention adopted by the state during the pandemic, which has helped both the beneficiaries and the providers. It has also helped to promote positive thinking and change the attitude toward the disease among the beneficiaries. It is highly commendable that timely intervention could obviate quite a few psychiatric emergencies, including suicides and aggressive behaviors. Considering its efficiency, flexibility, and sustainability, this model can be replicated in any setting.
Subject(s)
COVID-19 , Suicide , Humans , India/epidemiology , Pandemics , Psychosocial Intervention , SARS-CoV-2ABSTRACT
This study examines whether the flow of information pertaining to COVID-19 helps to contain the pandemic. We capture the information flow of the pandemic using the Google Search Volume Index for the keyword coronavirus+covid in 33 states and union territories in India. We find that the information flow is inversely related to positive cases reported in these regions. This result suggests that internet inclusion is a relevant factor in the fight against the pandemic.