The Covid 19 dataset which is made available from various reputed sources. This information is updated regularly and can be useful to analyses for more insights. In this research work, Machine learning is applied to find useful information of pandemic stages and how the virus is spreading in ...
A web-based cross-sectional online survey was conducted to obtain data on two main aspects in the context of COVID-19: mental well-being and mental anxiety and engagement with the media, both television and other social media channels. Using respondent-driven convenient sampling method, 426 ...
COVID-19 in India Dataset on Novel Corona Virus Disease 2019 in India 印度的COVID-19 印度2019年新型冠状病毒病数据集 在世界范围内,新冠肺炎新病例的数量每天都在增加。该数据集每天都有来自印度各州和工会领地的信息。 1. Overview Coronaviruses are a large family of viruses which may cause illness ...
This work is motivated by the disease caused by the novel corona virus Covid-19, rapid spread in India. An encyclopaedic search from India and worldwide social networking sites was performed between 1 March 2020 and 20 Jun 2020. Nowadays social network p
The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled
We aimed to reconstruct the COVID-19 incidence in India using these data. For this reason, we used the above-mentioned Liu et al. BMC Infectious Diseases (2024) 24:12 Page 4 of 11 Fig. 1 Empirical datasets used to convert from prevalence to incidence. Dataset 1 (blue...
It is important to note that the normal class represents patients that did not have COVID-19. The term normal here does not imply that these patients do not have any emerging disease. Experiments The main COVID-19 dataset has a limited number of images. This makes developing reliable DNNs ...
The regional boundary map of North Korea utilized a file from the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA), which can be accessed through the link https://data.humdata.org/dataset/cod-ab-prk Full size image An analysis was conducted targeting locations wherein...
4.1 Dataset 4.1.1 Dataset 1 The dataset used in the study was taken from the [59] study. The dataset includes two classes, COVID and Non-COVID. The COVID-CT-dataset has 349 CT images containing clinical signs of COVID-19 in 216 patients. The non-COVID dataset includes 396 CT images...
This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural stu...