Epidemiological Characteristics of COVID-19 in Seremban, Negeri Sembilan, Malaysia

BACKGROUND: Coronavirus disease (COVID)-19 has become a global pandemic with an increasing burden on healthcare. Early recognition of the trend and pattern of the chain of transmission is necessary to slow down the spread. AIM: Therefore, the study aimed to describe the epidemiology of COVID-19 at a local setting. METHODS: A retrospective cross-sectional study was done to all COVID-19 cases registered in Seremban Health District. Statistical analysis, using Chi-square test, was employed to compare the sociodemographic characteristic of COVID-19 patients between the red zone area and the non-red zone area in Seremban. RESULTS: As of April, a total of 214 number of COVID-19 cases reported in Seremban district alone. The trend of cases registered has changed as more asymptomatic infection outnumbered patients with clinical symptoms from the aggressive active case detection (ACD) activity. Majority of the cases affecting Malay ethnicity were due to a large religious gathering event held 1 month earlier than subsequently spread the infection within the community. CONCLUSION: The first wave of COVID-19 cases in Seremban was sudden and unexpected, with a skewed distribution affecting a particular race group regardless red zone area and non-red zone area. Therefore, identifying the pattern of infection in the local community is important for a focused intervention strategy. ACD strategy, isolation of patients, quarantine the exposed, tracking down the close contact, and continuous health promotion and education will ultimately break the chain of transmission

Long COVID active case detection initiative among COVID-19 patients in Port Dickson, Malaysia: a retrospective study on the positive outcomes, the proportion of patients with long COVID and its associated factors

Background Long COVID is new or ongoing symptoms at four weeks or more after the start of acute COVID-19. However, the prevalence and factors associated with long COVID are largely unknown in Malaysia. We aim to determine the proportion and factors associated with long COVID among COVID-19 patients in Port Dickson, Malaysia. The positive outcomes of our long COVID active detection initiative were also described. Methods This was a retrospective analysis of long COVID data collected by the Port Dickson District Health Office between 1 September 2021 to 31 October 2021. Monitoring long COVID symptoms was our quality improvement initiative to safeguard residents’ health in the district. The study population was patients previously diagnosed with COVID-19 who resided in Port Dickson. The inclusion criteria were adults aged 18 years and above and were in the fifth week (day 29 to 35) post-COVID-19 diagnosis during the data collection period. We called all consecutive eligible patients to inquire regarding long COVID symptoms. Long COVID was defined as new or ongoing symptoms lasting more than 28 days from the date of positive SARS-CoV-2 by polymerase chain reaction test. Binary multivariate logistic regression was conducted to determine factors associated with long COVID. Results Among 452 patients, they were predominantly male (54.2%), Malays (68.8%) and aged 18–29 years (58.6%). A total of 27.4% (95% CI [23.4–31.8]) of patients experienced long COVID symptoms and were referred to government clinics. The most frequent long COVID symptoms experienced were fatigue (54.0%), cough (20.2%), muscle pain (18.5%), headache (17.7%) and sleep disturbance (16.1%). Females, patients with underlying cardiovascular disease, asthma and chronic obstructive airway disease, those who received symptomatic care, and patients with myalgia and headaches at COVID-19 diagnosis were more likely to have long COVID. Three patients with suspected severe mental health problems were referred to the district psychologist, and ten patients with no/incomplete vaccination were referred for vaccination. Conclusion Long COVID is highly prevalent among COVID-19 patients in Port Dickson, Malaysia. Long-term surveillance and management of long COVID, especially among the high-risk groups, are needed as we transition to living with COVID-19