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SARS-CoV-2 and Rohingya Refugee Camp, Bangladesh: Uncertainty and How the Government Took Over the Situation.
Kamrujjaman, Md; Mahmud, Md Shahriar; Ahmed, Shakil; Qayum, Md Omar; Alam, Mohammad Morshad; Hassan, Md Nazmul; Islam, Md Rafiul; Nipa, Kaniz Fatema; Bulut, Ummugul.
  • Kamrujjaman M; Department of Mathematics, University of Dhaka, Dhaka 1000, Bangladesh.
  • Mahmud MS; Department of Mathematics and Statistics, University of Calgary, Calgary, AB T2N 1N4, Canada.
  • Ahmed S; Department of Computer Science & Engineering, State University of Bangladesh, Dhaka 1205, Bangladesh.
  • Qayum MO; Department of Public Health, North South University, Dhaka 1229, Bangladesh.
  • Alam MM; Institute of Epidemiology, Disease Control and Research, Dhaka 1212, Bangladesh.
  • Hassan MN; Health, Nutrition and Population Global Practice, The World Bank, Dhaka 1207, Bangladesh.
  • Islam MR; Department of Mathematics, Schreiner University, Kerrville, TX 78028, USA.
  • Nipa KF; Department of Mathematics, Iowa State University, Ames, IA 50011, USA.
  • Bulut U; Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX 79409, USA.
Biology (Basel) ; 10(2)2021 Feb 05.
Article in English | MEDLINE | ID: covidwho-1069790
ABSTRACT

Background:

Bangladesh hosts more than 800,000 Rohingya refugees from Myanmar. The low health immunity, lifestyle, access to good healthcare services, and social-security cause this population to be at risk of far more direct effects of COVID-19 than the host population. Therefore, evidence-based forecasting of the COVID-19 burden is vital in this regard. In this study, we aimed to forecast the COVID-19 obligation among the Rohingya refugees of Bangladesh to keep up with the disease outbreak's pace, health needs, and disaster preparedness. Methodology and

Findings:

To estimate the possible consequences of COVID-19 in the Rohingya camps of Bangladesh, we used a modified Susceptible-Exposed-Infectious-Recovered (SEIR) transmission model. All of the values of different parameters used in this model were from the Bangladesh Government's database and the relevant emerging literature. We addressed two different scenarios, i.e., the best-fitting model and the good-fitting model with unique consequences of COVID-19. Our best fitting model suggests that there will be reasonable control over the transmission of the COVID-19 disease. At the end of December 2020, there will be only 169 confirmed COVID-19 cases in the Rohingya refugee camps. The average basic reproduction number (R0) has been estimated to be 0.7563.

Conclusions:

Our analysis suggests that, due to the extensive precautions from the Bangladesh government and other humanitarian organizations, the coronavirus disease will be under control if the maintenance continues like this. However, detailed and pragmatic preparedness should be adopted for the worst scenario.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Year: 2021 Document Type: Article Affiliation country: Biology10020124

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Year: 2021 Document Type: Article Affiliation country: Biology10020124