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Spatio-temporal estimation of basic and effective reproduction number of COVID-19 and post-lockdown transmissibility in Bangladesh

The ongoing COVID-19 pandemic has caused unprecedented public health concern in Bangladesh. This study investigated the role of Non-Pharmaceutical Interventions on COVID-19 transmission and post-lockdown scenarios of 64 administrative districts and the country as a whole based on the spatiotemporal...

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Detalles Bibliográficos
Autores principales: Hridoy, Al-Ekram Elahee, Tipo, Imrul Hasan, Sami, Md. Shamsudduha, Babu, Md. Ripon, Ahmed, Md. Sayem, Rahman, Syed Masiur, Tusher, Shekh Md. Shajid Hasan, Rashid, Kazi Jihadur, Naim, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8237036/
http://dx.doi.org/10.1007/s41324-021-00409-2
Descripción
Sumario:The ongoing COVID-19 pandemic has caused unprecedented public health concern in Bangladesh. This study investigated the role of Non-Pharmaceutical Interventions on COVID-19 transmission and post-lockdown scenarios of 64 administrative districts and the country as a whole based on the spatiotemporal variations of effective reproduction number (R(t)) of COVID-19 incidences. The daily confirmed COVID-19 data of Bangladesh and its administrative districts from March 8, 2020, to March 10, 2021, were used to estimate R(t). This study finds that the maximum value of R(t) reached 4.15 (3.43, 4.97, 95% CI) in late March 2020, which remained above 1 afterwards in most of the districts. Containment measures are moderately effective in reducing transmission by 24.03%. The R(t) was established below 1 from early December 2020 for overall Bangladesh and a gradual increase of R(t) above 1 has been seen from early February 2021. The basic reproduction number (R(0)) in Bangladesh probably varied around 2.02 (1.33–3.28, 95% CI). This study finds a significant positive correlation (r = 0.75) between population density and COVID-19 incidence and explaining 56% variation in Bangladesh. The findings of this study are expected to support the policymakers to adopt appropriate measures for curbing the COVID-19 transmission effectively.