2020
DOI: 10.1002/jmv.26426
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Low postpandemic wave SARS‐CoV‐2 seroprevalence in Kuala Lumpur and Selangor, Malaysia

Abstract: Seroprevalence studies provide a more accurate picture of coronavirus disease 2019 (COVID‐19) than PCR‐confirmed cases as antibodies can be detected in mild or asymptomatic cases who otherwise remain undiagnosed. Seroprevalence can also be used as an indicator of population immunity. This article is protected by copyright. All rights reserved.

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Cited by 20 publications
(29 citation statements)
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“…A study in Mumbai from February 2021 showed that seroprevalence in non-slums was 16.1%, while it was as high as 54.1% in slums (32). Furthermore, recent individual studies from late 2020 and early 2021 have shown seroprevalence ranging from 0.09% to 22.2% (33)(34)(35)(36)(37)(38). Some of these studies have used a Bayesian approach for accounting for misclassification bias, which represents more properly the data obtained in these seroprevalence studies (35,36).…”
Section: Seroprevalencementioning
confidence: 99%
“…A study in Mumbai from February 2021 showed that seroprevalence in non-slums was 16.1%, while it was as high as 54.1% in slums (32). Furthermore, recent individual studies from late 2020 and early 2021 have shown seroprevalence ranging from 0.09% to 22.2% (33)(34)(35)(36)(37)(38). Some of these studies have used a Bayesian approach for accounting for misclassification bias, which represents more properly the data obtained in these seroprevalence studies (35,36).…”
Section: Seroprevalencementioning
confidence: 99%
“…A Cochrane review indicated that the combination of the detection of IgG and IgM achieved a sensitivity of 30.1% one to 7 days, 72.2% for 8 to 14 days, 91.4% for 15 to 21 days after the onset of symptoms [52]. In present study [22,25,53,54], four studies used virus neutralisation to detect serum antibodies to SARS-CoV-2, all exhibiting a sensitivity and specificity of > 98%. Neutralisation assays are more time consuming to perform (3-5 days) and are carried out in laboratories of a Biosafety Level-3 (BSL-3) [55]; therefore, these assays might be less suited for routine use.…”
Section: Discussionmentioning
confidence: 62%
“…Numerous population seroprevalence studies were conducted (Bajema et al, 2020, Lai et al, 2020, Chughtai et al, 2020, McLaughlin et al, 2020, Naranbhai et al, 2020, Sam et al, 2021, Sutton et al, 2020, Menachemi et al, 2020, Silveira et al, 2020, Kar et al, 2021, Vena et al, 2020, Pollán et al, 2020, Bogogiannidou et al, 2020, Poustchi et al, 2020., Shields et al, 2020, Ng et al, 2020, Figueiredo-Campos et al, 2020, Stringhini et al, 2020, Havers et al, 2020, Ho et al, 2020, Xu et al, 2020, Qutob et al, 2020, Capai et al, 2020, Sood et al, 2020, Godbout et al, 2020, Rostami et al, 2020) in efforts to estimate the true prevalence of the COVID-19 infection. The largest seroprevalence study was the one by Bajema et al from the USA which showed by September 2020 that the estimated population seroprevalence to be less than 10% in the majority of tested communities, although it ranged from 0 up to 23.3% in the highest hit areas.…”
Section: Introductionmentioning
confidence: 99%
“…They are also important for planning and monitoring the impact of implementation and relaxation of epidemic mitigation policies (Busch and Stone, 2021) The true prevalence of the infection is believed to be several times more than the number of PCR confirmed cases because of the large number of asymptomatic infections and or mild infections that went untested especially early in the pandemic (Huang et al, 2020, McLaughlin et al, 2020, Busch and Stone, 2021 The ratio of estimated to reported infections can range up 12.5 ( Bajema et al, 2020) Numerous population seroprevalence studies were conducted (Bajema et al, 2020, Chughtai et al, 2020, McLaughlin et al, 2020, Naranbhai et al, 2020, Sam et al, 2021, Sutton et al, 2020, Menachemi et al, 2020, Silveira et al, 2020, Kar et al, 2021, Vena et al, 2020,Pollán et al, 2020, Bogogiannidou et al, 2020, Poustchi et al, 2020., Shields et al, 2020, Ng et al, 2020, Figueiredo-Campos et al, 2020 , Sood et al, 2020, Godbout et al, 2020, Rostami et al, 2020 in efforts to estimate the true prevalence of the COVID-19 infection.…”
Section: Introductionmentioning
confidence: 99%