Estimating the Size of the Hidden Population of COVID-19.

INTRODUCTION: An asymptomatic population has the same infection as symptomatic individuals, so these individuals can unknowingly spread the virus. It is not possible to predict the rate of epidemic growth by considering only the identified isolated or hospitalized population. In this study, we want to estimate the size of the COVID-19 population, based on information derived from patients visiting medical centers. So, individuals who do not receive a formal diagnosis in those medical centers can be considered as hidden. METHODOLOGY: To estimate the Bayesian size of the hidden population of COVID-19 a respondentdriven sampling (RDS) method was used. Twenty-three people infected with COVID-19 seeds and who had positive PCR test results were selected as seeds. These participants were asked whether any of their friends and acquaintances who had COVID-19 did not visit a medical center or hid their illness. Access to other patients was gained through friendship and kinship, hence allowing the sampling process to proceed. RESULTS: Out of 23 selected seeds, only 15 seeds remained in the sample and the rest were excluded due to not participating in the further sampling process. After 5 waves, 50 people with COVID-19 who had hidden their disease and were not registered in the official statistics were included in the sample. It was estimated that 12,198 people were infected with COVID-19 in Khalkhal city in 2022. This estimate was much higher than recorded in the official COVID-19 statistics. CONCLUSIONS: The study findings indicate that the estimated 'true' numbers of COVID-19 patients in one town in Iran were significantly higher compared to the official numbers. The RDS method can help capture the potential size of infections in further pandemics or outbreaks globally.

The Impact of Cancer on Mental Health and the Importance of Supportive Services.

Cancer is a complex disease that affects the physical and psychological well-being of the patient, their families, and caregivers. Indeed, cancer-related mental health disorders could impact treatment adherence, quality of life, and overall health outcomes. In addition, approximately 30% of patients may experience cancer-related psychological disorders, including anxiety, depression, and post-traumatic stress. Also, caregivers of patients with cancer can experience significant emotional, physical, and financial stress, which can have a negative impact on their health. Therefore, to address these issues, mental health resources should be integrated into cancer care settings to identify and intervene early for individuals with psychological distress. Hence, providing psychological support, counseling, and education about coping strategies could create a safe and supportive environment where individuals can express their emotions, reducing feelings of isolation and depression. However, there are some important barriers to accessing mental health support for individuals with cancer, including stigma, cultural attitudes, and financial and logistical challenges. Hence, strategies to overcome these barriers include increasing awareness and education about the importance of mental health care, providing integrated care that addresses both physical and mental health needs, and utilizing telehealth services. So, healthcare providers should continue to develop and implement innovative approaches to mental health care that are tailored to the essential requirements of individuals with cancer and to enhance knowledge regarding the key roles of mental health care for individuals with cancer.