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Epidemiological and virological factors determining dengue transmission in Sri Lanka during the COVID-19 pandemic
Dinuka Ariyaratne; Laksiri Gomes; Tibutius Jayadas; Heshan Kuruppu; Lahiru Kodituwakku; Chandima Jeewandara; Nimalka Pannila Hetti; Anoja Dheerasinghe; Sudath Samaraweera; Graham Ogg; Gathsaurie Neelika Malavige.
Afiliação
  • Dinuka Ariyaratne; University of Sri Jayewardenepura Faculty of Medical Sciences
  • Laksiri Gomes; University of Sri Jayewardenepura Faculty of Medical Sciences
  • Tibutius Jayadas; University of Sri Jayewardenepura Faculty of Medical Sciences
  • Heshan Kuruppu; University of Sri Jayewardenepura Faculty of Medical Sciences
  • Lahiru Kodituwakku; Government of Sri Lanka
  • Chandima Jeewandara; University of Sri Jayewardenepura Faculty of Medical Sciences
  • Nimalka Pannila Hetti; Government of Sri Lanka
  • Anoja Dheerasinghe; Government of Sri Lanka
  • Sudath Samaraweera; Government of Sri Lanka
  • Graham Ogg; University of Oxford Medical Sciences Division
  • Gathsaurie Neelika Malavige; University of Sri Jayewardenepura
Preprint em Inglês | medRxiv | ID: ppmedrxiv-22273186
ABSTRACT
BackgroundWith the onset of the COVID-19 pandemic in early 2020 there was a drastic reduction in the number of dengue cases in Sri Lanka, with an increase towards the end of 2021. We sought to study the contribution of virological factors, human mobility, school closure and mosquito factors in affecting these changes in dengue transmission in Sri Lanka during this time. Methods and findingsTo understand the reasons for the differences in the dengue case numbers in 2020 to 2021 compared to previous years, we determined the association between the case numbers in Colombo (which has continuously reported the highest number of cases) with school closures, stringency index, changes in dengue virus (DENV) serotypes and vector densities. There was a 79.4% drop in dengue cases from 2019 to 2020 in Colombo. A significant negative correlation was seen with the number of cases and school closures (Spearmans r=-0.4732, p=<0.0001) and a negative correlation, which was not significant, between the stringency index and case numbers (Spearmans r= -0.3755 p=0.0587). There was no change in the circulating DENV serotypes with DENV2 remaining the most prevalent serotype by early 2022 (65%), similar to the frequencies observed by end of 2019. The Aedes aegypti premise and container indices showed positive but insignificant correlations with dengue case numbers (Spearman r= 0.8827, p=0.93). ConclusionsLockdown measures, especially school closures seemed to have had a significant impact on the number of dengue cases, while the vector indices had a limited effect.
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
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