Transmission and Profile of COVID-19 in Children in North Sumatera, Indonesia.

BACKGROUND: In December 2019, a cluster of viral pneumonia cases, later identified as coronavirus disease 2019 (COVID-19), was first reported in Wuhan, China, and then continued to spread to other parts of the world. COVID-19 is thought to be more prevalent in adults than children; therefore, information about COVID-19 burden and characteristics in children is lacking. METHODS: We gathered data on the profile and transmission in children with COVID-19 from data collected by the North Sumatera Provincial Health Office team. Data were presented as mean±SD and percentage. Statistical analysis was performed using STATA version 15.0. RESULTS: From April to October 2020, there were 1125 confirmed COVID-19 cases in children in North Sumatera, representing approximately 8.9% of all cases. Death occurred in 0.62% of the patients, and the children who died had underlying diseases. Four major clusters of COVID-19 infection in children were found in three Islamic boarding schools and one refugee shelter. CONCLUSION: A high number of children in North Sumatera were affected by COVID-19, and mortality was found to be higher in children with underlying diseases. Major clusters were found in places with prolonged and repeated activities in close contact, such as boarding schools and a refugee shelter.

Cryptosporidium Sp. Findings and Its Symptomatology among Immunocompromised Patients.

BACKGROUND: Cryptosporidium sp. is an apicomplexan protozoa, and it is related to an immunocompromised state. As it develops diverse clinical manifestations, mild to life-threatening conditions, administration of anti-parasitic medication and its management remain problematic. AIM: The study aimed to provide Cryptosporidiosis symptomatology and its prevalence among HIV-infected patients in a tertiary referral hospital, Haji Adam Malik General Hospital, Medan, Indonesia. MATERIAL AND METHODS: Symptomatology was noted using short-questionnaire, and laboratory findings were obtained from the hospital medical record registry on the same day of admission. We enrolled 24 patients were suffered from HIV infection for a certain period and more than one-week diarrhoea including 18 males and 6 females. Routine faeces examination using wet mount, Kinyoun-gabet, and trichrome staining was performed for all samples in Parasitology Department, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia. Numerical data were evaluated using the Mann-Whitney test while Fisher Exact test was used to determine any association between categorical variables. RESULTS: Our study found that 8 of 24 patients were positive with Cryptosporidium sp. while its symptomatology including abdominal cramp (66.7%), nausea and vomiting (70.8%), and fever (62.5%) is prevalent from our study. We obtained significant association between CD4 cell count (p = 0.006), diarrhea duration (p = 0.007), abdominal pain (p = 0.005), and nausea and vomiting (p = 0.021) with cryptosporidiosis. CONCLUSION: High consideration of several symptoms related to cryptosporidiosis leads a clinician to initiate prompt management particularly in a high-risk population.

Rethinking Antimicrobial Resistance Surveillance: A Role for Lot Quality Assurance Sampling.

Global surveillance of antimicrobial resistance (AMR) is a key component of the 68th World Health Assembly Global Action Plan on AMR. Laboratory-based surveillance is inherently biased and lacks local relevance due to aggregation of data. We assessed the feasibility, sensitivity, and affordability of a population-based AMR survey using lot quality assurance sampling (LQAS), which classifies a population as having a high or low prevalence of AMR based on a priori defined criteria. Three studies were carried out in Medan and Bandung, Indonesia, between April 2014 and June 2017. LQAS classifications for 15 antibiotics were compared with AMR estimates from a conventional population-based survey, with an assessment of the cost of a single LQAS classification using microcosting methodology, among patients suspected of urinary tract infection at 11 sites in Indonesia. The sensitivity of LQAS was above 98%. The approach detected local variation in the prevalence of AMR across sites. Time to reach LQAS results ranged from 47 to 138 days. The average cost of an LQAS classification in a single facility was US$466. The findings indicate that LQAS-based AMR survey is a feasible, sensitive, and affordable strategy for population-based AMR surveys, providing essential data to inform local empirical treatment guidelines and antimicrobial stewardship efforts.