A COVID-19 outbreak in a refugee settlement will likely overwhelm the available healthcare capacity and infrastructure and spread through nearly the entire settlement population if left unchecked, according to a new study published June 16 in PLOS Medicine by Paul Spiegel of Johns Hopkins University, United States, and colleagues.
Forcibly displaced populations, especially those who reside in settlements with high density, poor access to water and sanitation, and limited health services, are especially vulnerable to COVID-19. Spiegel and colleagues used a dynamic model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission to simulate how a COVID-19 outbreak could spread through a such a setting, the Kutupalong-Balukhali Expansion Site in the Cox's Bazar district of Bangladesh. Approximately 600,000 Rohingya refugees from Myanmar reside at the settlement, where at least one refugee has died of COVID-19 and 29 have tested positive for the virus since the first case was detected on May 14 in the camps.
The researchers simulated high, moderate, and low transmission scenarios and estimated the hospitalizations, deaths, and healthcare needs expected, adjusting for the age distribution of the population at the Kutupalong-Balukhali. The model predicts the number of people infected in the first year will reach 421,500 (95% PI, 376,300-463,500), 546,800 (95% PI, 499,300-567,000), and 589,800 (95% PI, 578,800-595,600) in the low, moderate, and high transmission scenarios, respectively, should no effective interventions to prevent spread of the virus be put into place. Spiegel and colleagues estimate the hospitalization needs would exceed the current capacity 55-136 days after introduction, and the outbreak would lead to 2,040 (95% PI, 1,660-2,500), 2,650 (95% PI, 2,030-3,380), and 2,880 (95% PI, 2,090-3,830) deaths in the three scenarios.
The authors note that the known epidemiological properties of COVID-19 are based on the transmission of SARS-CoV-2 virus in non-displaced populations, and even in these populations the parameters are poorly defined. However, the spread of disease through the densely populated refugee settlement is likely to be faster, not slower, than in populations with easier access to the tools (social distancing, basic hygiene, contact tracing and isolation) used to limit spread of disease. The authors emphasize that in this setting, innovative responses and intervention from health agencies and local governments will be necessary to quell the spread and treat the infected population.
From Academic Editor, Parveen Parmar: "The work by Spiegel and colleagues highlights the significant vulnerability of displaced populations in the time of COVID-19, both in the Rohingya refugee camps and beyond. Health systems that are already overstretched will require significant additional support from the global community to meet new needs. It is critical that we continue to bring the needs of the most vulnerable among us to the forefront in this manner. Indeed, if we are ever to be successful in this battle against COVID-19, no one can be left behind--no matter what their age, ethnicity, gender, sexuality, or legal status, and no matter what side of a border they find themselves on."
Peer-reviewed; Simulation / modelling; N/A
Funding: PS and ST received some funding for this work from the Office of Foreign Disaster Assistance (OFDA), USAID (https://www.usaid.gov/who-we-are/organization/bureaus/bureau-democracy-conflict-and-humanitarian-assistance/office-us, grant number 130492), and the Centers for Disease Control and Prevention (CDC; https://www.cdc.gov/, grant number 126280). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing Interests: The authors have declared that no competing interests exist.
Citation: Truelove S, Abrahim O, Altare C, Lauer SA, Grantz KH, Azman AS, et al. (2020) The potential impact of COVID-19 in refugee camps in Bangladesh and beyond: A modeling study. PLoS Med 17(6): e1003144. https://doi.org/10.1371/journal.pmed.1003144
Author Affiliations: Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
In your coverage please use this URL to provide access to the freely available paper: http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1003144