Epidemiology and Response to the COVID-19 Pandemic in Kerala, India, 2020-2021: A Cross-Sectional Study.

Kerala, a southern state in India, experienced a slightly different COVID-19 pandemic than the rest of India. Using data from daily COVID-19 bulletins and two other Kerala health information systems, this study reported on epidemiological characteristics and response measures of the COVID-19 pandemic between January 2020 and December 2021. After the first six months, Kerala experienced three distinct phases, with COVID-19 cases peaking in October 2020, May 2021, and August 2021. This contrasts with India, which experienced two main peaks in September 2020 and May 2021. The demographic profile of cases aligned with the national profile except for a slight increase of COVID-19 in persons aged ≥60 years. Monthly COVID-19 deaths increased dramatically from May 2021 onwards in line with case numbers but also reflecting changes in definitions of COVID-19 deaths. Case fatality for the two years was significantly higher in males than females, increased with increasing age groups, and varied between districts (p < 0.001). Trends in bed occupancy in field hospitals, hospitals for severe disease, intensive care units, and mechanical ventilation mirrored the different phases of the pandemic. The monitoring system in Kerala allowed certain aspects of the pandemic to be mapped, but it would benefit from further strengthening.

Monogenic diabetes: A single center experience from South India.

Monogenic forms of diabetes in children are frequently misclassified as either type 1 diabetes or young-onset type 2 diabetes. There is a paucity of literature regarding pediatric monogenic diabetes in the Indian population. A retrospective analysis of case records of 37 children with monogenic diabetes who were diagnosed between 2008 and 2019 in a South Indian tertiary care center was performed. The write-up describes the clinical, biochemical, and genetic characterization of these patients with the diagnoses of neonatal diabetes mellitus (15 patients), MODY (five patients), and various forms of syndromic diabetes (13 with Wolfram syndrome, two with H syndrome, one with mitochondrial diabetes, and one with thiamine responsive megaloblastic anemia).

CDC Kerala 15: Developmental Evaluation Clinic (2-10 y)--developmental diagnosis and use of home intervention package.

OBJECTIVE: To describe the last 5 years' experience of Child Development Centre (CDC), Kerala Developmental Evaluation Clinic II for children between 2 and 10 y, referred for suspicion of developmental lag in the preschool years and scholastic difficulty in the primary classes with specific focus on developmental profile and the experience of the home based intervention package taught to the mothers. METHODS: A team of evaluators including developmental therapist, preschool teacher with special training in clinical child development, speech therapist, special educator, clinical psychologist and developmental pediatrician assessed all the children referred to CDC Kerala. Denver Developmental Screening Test (DDST-II), Vineland Social Maturity Scale (VSMS) and Intelligent Quotient (IQ) tests were administered to all children below 6 y and those above 6 with apparent developmental delay. RESULTS: Speech/delay (35.9%), behavior problem (15.4%), global delay/ intellectual disability (15.4%), learning problem (10.9%), pervasive developmental disorders (7.7%), seizure disorder (1.7%), hearing impairment (0.7%), and visual impairment (0.7%) were the clinical diagnosis by a developmental pediatrician. Each child with developmental problem was offered a home based intervention package consisting of developmental therapy and special education items, appropriate to the clinical diagnosis of the individual child and the same was taught to the mother. CONCLUSIONS: The experience of conducting the developmental evaluation clinic for children between 2 and 10 y has shown that a team consisting of developmental therapist, speech therapist, preschool teacher, special educator, clinical child psychologist and developmental pediatrician, using appropriate test results of the child could make a clinical diagnosis good enough for providing early intervention therapy using a home based intervention package.