Dengue Infections during COVID-19 Period: Reflection of Reality or Elusive Data Due to Effect of Pandemic

Int J Environ Res Public Health. 2022 Aug 29;19(17):10768. doi: 10.3390/ijerph191710768.

Abstract

The outbreak of coronavirus disease 2019 (COVID-19) devastated the overall health management strategy of most countries. In this scenario, the present study provided insights into the possible impact of the COVID-19 pandemic on dengue infection. This ecological study retrieved data from WHO/Government reporting system from 22 major dengue epidemic countries. Incidence of dengue infections during the pre-COVID-19 time (2015~2019) and COVID-19 period (2020~2021) was compared. A correlation between the dengue and COVID-19 cases and predicted dengue incidence in 2022 was calculated using the linear regression equation. Data indicated that dengue incidences across the studied area decreased by 16% during the pandemic period (2.73 million vs. 2.29 million; p < 0.05) than the same reported in pre-COVID-19 time. Although countries in Latin America reported more cases than Asia, a positive correlation (r = 0.83) between dengue and COVID-19 cases was observed in Asia. Prediction analysis warned that specific preparation for dengue management is needed in some countries of both regions in 2022 to contain the upsurge in incidences. Due to the similar nature of symptoms of dengue and COVID-19, a state of confusion will be prevailing during the ongoing pandemic. Therefore, comprehensive and evidence-based scientific approaches were warranted at all levels.

Keywords: Asia; COVID-19 pandemic; Latin America; dengue; practical containment; sporadic increase.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • COVID-19* / epidemiology
  • Dengue* / diagnosis
  • Dengue* / epidemiology
  • Disease Outbreaks
  • Humans
  • Incidence
  • Pandemics

Grants and funding

This work is supported in part by the grants from the Japan Society for the Promotion of Science to S.K. (No. 21K09324) and T.Y. (No. 22K17349), and from the Research Center for Global and Local Infectious Diseases (RCGLID), Oita University to M.A.M. (No. 2022B04).