Surging COVID-19 in Bangladesh driven by B.1.351 variant

Brum, Eric; Saha, Senjuti; Sania, Ayesha; Tanmoy, Arif Md.; Hooda, Yogesh; Tanni, Afroza Akter; Goswami, Sharmistha; Sium, Syed Muktadir Al; Sajib, Mohammad Saiful Islam; Malaker, Roly; Islam, Shuborno; Sarker, Nikkon; Saha, Samir K.; Chowdhury, Shayan; Haddou, Yacob; Ferguson, Elaine A.; Kundegorski, Mikolaj; Purno, Nabila; Tasneem, Motahara; Arifeen, Shams El; Alamgir, A. S. M.; Chowdhury, Anir; Hampson, Katie

doi:10.1101/2021.04.27.21255706

Cited by 6 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar to the first wave, introduction of a lineage of the beta variant in November 2020 caused the majority of cases, suggesting that a potential superspreading event was responsible for the countrywide spread. 5 Leading up to the second wave, mobility indicators bounced back to above baseline, suggesting that the COVID-19 threat was considered less serious by the population after the first wave. In response, the Government of Bangladesh announced a second round of travel restrictions that had a strong impact on mobility but stopped short of a nationwide strict lockdown.…”

Section: Successive Waves Caused By New Variantsmentioning

confidence: 99%

New waves, new variants, old inequity: a continuing COVID-19 crisis

et al. 2021

Self Cite

View full text Add to dashboard Cite

Section: Successive Waves Caused By New Variantsmentioning

confidence: 99%

New waves, new variants, old inequity: a continuing COVID-19 crisis

et al. 2021

Self Cite

View full text Add to dashboard Cite

“…In particular, during the first months of the pandemic, residents in Dhaka, the country’s largest and most populated city, had easier access to SARS-CoV-2 testing compared to other regions in Bangladesh [14,57]. Consequently, the Dhaka division reported the majority (50.5%) of confirmed SARS-CoV-2 cases in the country (Figure 2A) [14,57]. Spikes in reported cases during the first wave of the pandemic were observed in some other divisions, e.g., in Rangpur in the start of July 2020 (Figure 2A).…”

Section: Resultsmentioning

confidence: 99%

“…It is possible that rising cases could be somewhat driven by increased testing capacity over time [14]. In particular, during the first months of the pandemic, residents in Dhaka, the country's largest and most populated city, had easier access to SARS-CoV-2 testing compared to other regions in Bangladesh [14,57]. Consequently, the Dhaka division reported the majority (50.5%) of confirmed SARS-CoV-2 cases in the country (Figure 2A) [14,57].…”

Section: Epidemiological Findingsmentioning

confidence: 99%

Genomic epidemiology of early SARS-CoV-2 transmission dynamics in Bangladesh

Carnegie,

McCrone,

du Plessis

et al. 2024

Preprint

View full text Add to dashboard Cite

Background: Genomic epidemiology has helped reconstruct the global and regional movement of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, there is still a lack of understanding of SARS-CoV-2 spread in some of the worlds least developed countries (LDCs). Methods: To begin to address this disparity, we studied the transmission dynamics of the virus in Bangladesh during the countrys first COVID-19 wave by analysing case reports and whole-genome sequences from all eight divisions of the country. Results: We detected >50 virus introductions to the country during the period, including during a period of national lockdown. Additionally, through discrete phylogeographic analyses, we identified that geographical distance and population -density and/or -size influenced virus spatial dispersal in Bangladesh. Conclusions: Overall, this study expands our knowledge of SARS-CoV-2 genomic epidemiology in Bangladesh, shedding light on crucial transmission characteristics within the country, while also acknowledging resemblances and differences to patterns observed in other nations.

show abstract

“…Another study conducted in the United States revealed an effective reproduction number (R t ) between 1 and 2 in most states [175]. In Bangladesh, the effective reproduction number for the B.1.351 variant was estimated to be 3.5 [176]. There is a scarcity of information concerning the Beta reproduction number.…”

Section: Viral Loadmentioning

confidence: 99%

Biological Properties of SARS-CoV-2 Variants: Epidemiological Impact and Clinical Consequences

Hoteit

Yassine

2022

Vaccines

View full text Add to dashboard Cite

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a virus that belongs to the coronavirus family and is the cause of coronavirus disease 2019 (COVID-19). As of May 2022, it had caused more than 500 million infections and more than 6 million deaths worldwide. Several vaccines have been produced and tested over the last two years. The SARS-CoV-2 virus, on the other hand, has mutated over time, resulting in genetic variation in the population of circulating variants during the COVID-19 pandemic. It has also shown immune-evading characteristics, suggesting that vaccinations against these variants could be potentially ineffective. The purpose of this review article is to investigate the key variants of concern (VOCs) and mutations of the virus driving the current pandemic, as well as to explore the transmission rates of SARS-CoV-2 VOCs in relation to epidemiological factors and to compare the virus’s transmission rate to that of prior coronaviruses. We examined and provided key information on SARS-CoV-2 VOCs in this study, including their transmissibility, infectivity rate, disease severity, affinity for angiotensin-converting enzyme 2 (ACE2) receptors, viral load, reproduction number, vaccination effectiveness, and vaccine breakthrough.

show abstract

Surging COVID-19 in Bangladesh driven by B.1.351 variant

Cited by 6 publications

References 16 publications

New waves, new variants, old inequity: a continuing COVID-19 crisis

New waves, new variants, old inequity: a continuing COVID-19 crisis

Genomic epidemiology of early SARS-CoV-2 transmission dynamics in Bangladesh

Biological Properties of SARS-CoV-2 Variants: Epidemiological Impact and Clinical Consequences

Contact Info

Product

Resources

About