Common Marmoset Cell Lines and Their Applications in Biomedical Research

Bayurova, Ekaterina; Zhitkevich, Alla; Avdoshina, Daria; Kupriyanova, Natalya; Kolyako, Yuliya; Kostyushev, Dmitry; Gordeychuk, Ilya

doi:10.3390/cells12162020

Cited by 2 publications

References 112 publications

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Central Asian Surveillance Metrics and History of the COVID-19 Pandemic: Longitudinal Analyses (Preprint)

Lundberg,

Ozer,

et al. 2023

JMIR Public Health and Surveillance

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Background: This study updates the COVID-19 pandemic surveillance in Central Asia we first conducted in 2020 by providing two additional years of data for the region.Objective: First, we aim to measure whether there was an expansion or contraction in the pandemic in Central Asia when the World Health Organization (WHO) declared the end of the public health emergency for the COVID-19 pandemic on May 5, 2023. Second, we use dynamic and genomic surveillance methods to describe the history of the pandemic in the region and situate the window of the WHO declaration within the broader history. Third, we aim to provide historical context for the course of the pandemic in Central Asia.Methods: Traditional static surveillance, including absolute numbers and rates of COVID-19 transmissions and deaths, and enhanced dynamic surveillance indicators, including speed, acceleration, jerk, and persistence, were used to measure shifts in the pandemic. To identify the appearance and duration of variants of concern, we used data on sequenced SARS-CoV-2 variants from the Global Initiative on Sharing All Influenza Data (GISAID). We used Nextclade nomenclature to collect clade designations from sequences and Pangolin nomenclature for lineage designations of SARS-CoV-2. Finally, we conducted a onesided t-test for whether regional weekly speed was greater than an outbreak threshold of ten. We ran the test iteratively with six months of data across the sample period.Results: Speed for the region had remained below the outbreak threshold for seven months by the time of the WHO declaration. Acceleration and jerk were also low and stable. While the 1-and 7-day persistence coefficients remained statistically significant, the coefficients were relatively small in magnitude (0.125 and 0.347, respectively). Furthermore, the shift parameters for either of the two most recent weeks around May 5, 2023, were both significant and negative, meaning the clustering effect of new COVID-19 cases became even smaller in the two weeks around the WHO declaration. From December of 2021 onward, Omicron was the predominant variant of concern in sequenced viral samples. The rolling t-test of speed equal to ten became entirely insignificant for the first time in March of 2023. Conclusions:While COVID-19 continues to circulate in Central Asia, the rate of transmission had remained well below the threshold of an outbreak for seven months ahead of the WHO declaration. COVID-19 is endemic in the region and no longer

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Central Asian Surveillance Metrics and History of the COVID-19 Pandemic: Longitudinal Analyses (Preprint)

Lundberg,

Ozer,

et al. 2023

JMIR Public Health and Surveillance

View full text Add to dashboard Cite

show abstract

Central Asian Surveillance Metrics and History of the COVID-19 Pandemic: Longitudinal Analyses (Preprint)

Lundberg,

Ozer,

et al. 2023

Preprint

View full text Add to dashboard Cite

BACKGROUND This study updates the COVID-19 pandemic surveillance in Central Asia we first conducted in 2020 by providing two additional years of data for the region. OBJECTIVE First, we aim to measure whether there was an expansion or contraction in the pandemic in Central Asia when the World Health Organization (WHO) declared the end of the public health emergency for the COVID-19 pandemic on May 5, 2023. Second, we use dynamic and genomic surveillance methods to describe the history of the pandemic in the region and situate the window of the WHO declaration within the broader history. Third, we aim to provide historical context for the course of the pandemic in Central Asia. METHODS Traditional static surveillance, including absolute numbers and rates of COVID-19 transmissions and deaths, and enhanced dynamic surveillance indicators, including speed, acceleration, jerk, and persistence, were used to measure shifts in the pandemic. To identify the appearance and duration of variants of concern, we used data on sequenced SARS-CoV-2 variants from the Global Initiative on Sharing All Influenza Data (GISAID). We used Nextclade nomenclature to collect clade designations from sequences and Pangolin nomenclature for lineage designations of SARS-CoV-2. Finally, we conducted a one-sided t-test for whether regional weekly speed was greater than an outbreak threshold of ten. We ran the test iteratively with six months of data across the sample period. RESULTS Speed for the region had remained below the outbreak threshold for seven months by the time of the WHO declaration. Acceleration and jerk were also low and stable. While the 1- and 7-day persistence coefficients remained statistically significant, the coefficients were relatively small in magnitude (0.125 and 0.347, respectively). Furthermore, the shift parameters for either of the two most recent weeks around May 5, 2023, were both significant and negative, meaning the clustering effect of new COVID-19 cases became even smaller in the two weeks around the WHO declaration. From December of 2021 onward, Omicron was the predominant variant of concern in sequenced viral samples. The rolling t-test of speed equal to ten became entirely insignificant for the first time in March of 2023. CONCLUSIONS While COVID-19 continues to circulate in Central Asia, the rate of transmission had remained well below the threshold of an outbreak for seven months ahead of the WHO declaration. COVID-19 is endemic in the region and no longer reaches the threshold of the pandemic definition. Both standard and enhanced surveillance metrics confirm that the pandemic had ended by the time of the WHO declaration.

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Common Marmoset Cell Lines and Their Applications in Biomedical Research

Cited by 2 publications

References 112 publications

Central Asian Surveillance Metrics and History of the COVID-19 Pandemic: Longitudinal Analyses (Preprint)

Central Asian Surveillance Metrics and History of the COVID-19 Pandemic: Longitudinal Analyses (Preprint)

Central Asian Surveillance Metrics and History of the COVID-19 Pandemic: Longitudinal Analyses (Preprint)

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