ABSTRACT
Background: Assessments for children with autism spectrum disorder (ASD) must adapt to the current COVID-19 pandemic through innovation in screening and assessment strategies using technology. To our knowledge there are no such studies reported from India. We aimed to study the predictive ability of video-based screening tool with definitive diagnosis in children with ASD. Method: Thirty-nine children were screened independently by two examiners with a video-based screening tool to start intervention followed by an in-person evaluation by clinical DSM-5 diagnosis three months later. Result: Similar to studies from developed countries, videos assessments showed a 94.87% correlation with the final diagnosis. Interobserver video agreement had a kappa correlation of 0.803, which was classified as substantial agreement. Conclusion: Video-based evaluations may be used as an interim assessment to initiate early intervention in children with ASD in resource-limited setups in the current pandemic situation. Large, well-designed prospective studies are required to confirm our results.
ABSTRACT
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic will be remembered as one of the defining events of the 21st century. The rapid global outbreak has had significant impacts on human society and is already responsible for millions of deaths. Understanding and tackling the impact of the virus has required a worldwide mobilisation and coordination of scientific research. The COVID-19 Data Portal (https://www.covid19dataportal.org/) was first released as part of the European COVID-19 Data Platform, on April 20th 2020 to facilitate rapid and open data sharing and analysis, to accelerate global SARS-CoV-2 and COVID-19 research. The COVID-19 Data Portal has fortnightly feature releases to continue to add new data types, search options, visualisations and improvements based on user feedback and research. The open datasets and intuitive suite of search, identification and download services, represent a truly FAIR (Findable, Accessible, Interoperable and Reusable) resource that enables researchers to easily identify and quickly obtain the key datasets needed for their COVID-19 research.