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4 December 2023 Effective Preventative Measures are Essential to Lower Disease Burden From Dengue and COVID-19 Co-infection in Bangladesh
Proma Rani Das, Sakif Ahamed Khan, Jannatul Mabia Rahman, Syed Masudur Rahman Dewan
Author Affiliations +
Abstract

Bangladesh is widely recognized as one of the dengue prone nations, and empirical evidence has consistently demonstrated an upward trend in the severity of the disease over time. With the persistent occurrence of dengue in Bangladesh and the ongoing presence of COVID-19, which has not been fully eradicated and may persist for an uncertain period of time, there is a high probability of co-infection between these 2 illnesses. Given the circumstances, the concurrent occurrence of the COVID-19 and dengue epidemics, along with the potential co-infection, may pose an overwhelming burden on healthcare systems that are already grappling with challenges in meeting the existing demand. Due to a lack of awareness, an inadequate health infrastructure, and ineffective disease prevention initiatives, the country is now more susceptible to the threat posed by a co-infection that has been found to be associated with more severe outcomes, marked by significant morbidity and mortality. The objective of this opinion piece is to explore the gravity of co-infection in Bangladesh, as well as the potential challenges to overcome and the preventative measures that need to be implemented to address the severity. This opinion piece proposes a set of modern preventative strategies that, when integrated with conventional methods, have the potential to mitigate disease severity, avert the occurrence of co-infection between COVID-19 and dengue, and halt the co-epidemics of COVID-19 and dengue.

Proma Rani Das, Sakif Ahamed Khan, Jannatul Mabia Rahman, and Syed Masudur Rahman Dewan "Effective Preventative Measures are Essential to Lower Disease Burden From Dengue and COVID-19 Co-infection in Bangladesh," Environmental Health Insights 17(1), (4 December 2023). https://doi.org/10.1177/11786302231212774
Received: 14 August 2023; Accepted: 22 October 2023; Published: 4 December 2023
KEYWORDS
artificial intelligence
biopesticide
Co-infection
corona virus
dengue
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