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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/2061
How much India detecting SARS-CoV-2 Infections? A model-based estimation | |
Srinivas Goli. K.S. James. | |
Acceso Abierto | |
Atribución-NoComercial-SinDerivadas | |
10.1101/2020.04.09.20059014 | |
Amid SARS-CoV-2 outbreak, the low number of infections for a population size of 1.38 billion is widely discussed, but with no definite answers. In this context, we used the model proposed by Bommer and Vollmer to assess the quality of official case records. The findings suggest that India is detecting just 3.6% of the total number of infections with a huge variation across its states. As we found that a lower number of deaths in the states with a high detection rate, thus suggest that India must enhance its testing capacity and go for widespread testing. Late detection puts patients in greater need of mechanical ventilation and ICU care, which imposes greater costs on the health system. Early detection and avoidance of critical care for a majority of infected patients is an important way of avoiding overcrowding on the limited health care resources available in the country. The country should also adopt population-level random testing to assess the prevalence of the infection. | |
www.medrxiv.org | |
2020 | |
Artículo | |
https://www.medrxiv.org/content/10.1101/2020.04.09.20059014v2.full.pdf | |
Inglés | |
VIRUS RESPIRATORIOS | |
Aparece en las colecciones: | Artículos científicos |
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