Estimation of the Hidden Population with COVID-19 Disease

Autor: Ali Reza Soltanian, PhD, Saeid Bashirian, PhD, Shahin Akhondzadeh Basti, PhD, Manoochehr Karami, PhD, Afshin Ostovar, MD, PhD, Salman Khazaei, PhD
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: International Journal of Maternal and Child Health and AIDS, Vol 9, Iss 2 (2020)
Druh dokumentu: article
ISSN: 2161-8674
2161-864X
DOI: 10.21106/ijma.396
Popis: The population with emerging diseases such as COVID-19, which is used to calculate the basic reproduction number of epidemic outbreak (R0) cannot be simply observed. In this article, we have proposed a method for estimating the hidden population of people with COVID-19 disease. Knowing the number of people with COVID-19 disease is very important for health policy. The provision of medical equipment (e.g., masks, alcohol, ventilators, medication, etc.), the reopening of schools and universities, the start of tourism and public gatherings, the provision of medical staff and preventive planning depend on the number of patients with the disease. Therefore, it is very important to estimate the number of patients. Key words: • Corona virus • Covid-19 • Epidemiology • Hidden population • Attack rate Copyright © 2020 Soltanian et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial.
Databáze: Directory of Open Access Journals