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Surveillance of the Second Wave of COVID-19 in Europe: Longitudinal Trend Analyses

Surveillance of the Second Wave of COVID-19 in Europe: Longitudinal Trend Analyses

This resulted in a dynamic panel model that was estimated using the generalized method of moments (GMM) approach by implementing the Arellano-Bond estimator in R [17,36]. Regression results are presented for 39 European countries in Table 1. Weekly surveillance data presented in Tables 2-6 are based in part on these regressions. Data for 44 European countries were collected, but data for 5 countries were excluded in the regression analysis due to missing data.

Lori Ann Post, Kasen Culler, Charles B Moss, Robert L Murphy, Chad J Achenbach, Michael G Ison, Danielle Resnick, Lauren Nadya Singh, Janine White, Michael J Boctor, Sarah B Welch, James Francis Oehmke

JMIR Public Health Surveill 2021;7(4):e25695

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Article has an altmetric score of 4

Dynamic Panel Data Modeling and Surveillance of COVID-19 in Metropolitan Areas in the United States: Longitudinal Trend Analysis

Dynamic Panel Data Modeling and Surveillance of COVID-19 in Metropolitan Areas in the United States: Longitudinal Trend Analysis

The model was estimated using the generalized method of moments (GMM) approach [58] as implemented by Arellano and Bond [59] for DPD models and applied to the COVID-19 pandemic by Oehmke et al [50,51]. The Wald chi-square test was administered to test model fit based on the null hypothesis that the regression contains no explanatory power. The Sargan chi-square test was applied to determine model validity by testing the null hypothesis that the model is valid [58].

Theresa B Ann Oehmke, Lori A Post, Charles B Moss, Tariq Z Issa, Michael J Boctor, Sarah B Welch, James F Oehmke

J Med Internet Res 2021;23(2):e26081

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Article has an altmetric score of 2

SARS-CoV-2 Wave Two Surveillance in East Asia and the Pacific: Longitudinal Trend Analysis

SARS-CoV-2 Wave Two Surveillance in East Asia and the Pacific: Longitudinal Trend Analysis

This resulted in a dynamic panel model that was estimated using the generalized method of moments (GMM) approach by implementing the Arellano-Bond estimator in R (The R Foundation) [94,96,116]. Additionally, we report on the novel dynamic surveillance metrics of speed, acceleration, and jerk [94,96]. Regression results are presented for 26 East Asian and Pacific countries in Table 1. Weekly surveillance data in Tables 2-6 and Figure 2 [117] are based on these regressions.

Lori Ann Ann Post, Jasmine S Lin, Charles B Moss, Robert Leo Murphy, Michael G Ison, Chad J Achenbach, Danielle Resnick, Lauren Nadya Singh, Janine White, Michael J Boctor, Sarah B Welch, James Francis Oehmke

J Med Internet Res 2021;23(2):e25454

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Article has an altmetric score of 3

SARS-CoV-2 Surveillance in the Middle East and North Africa: Longitudinal Trend Analysis

SARS-CoV-2 Surveillance in the Middle East and North Africa: Longitudinal Trend Analysis

This resulted in a dynamic panel data model that was estimated using the generalized method of moments (GMM) approach by implementing the Arellano-Bond estimator in R (The R Foundation) [3,36,39]. Regression results are presented for 17 MENA countries in Table 1. Weekly surveillance data in Tables 2-7 are based on these regressions.

Lori Ann Post, Emily Marogi, Charles B Moss, Robert Leo Murphy, Michael G Ison, Chad J Achenbach, Danielle Resnick, Lauren Singh, Janine White, Sarah B Welch, James Francis Oehmke

J Med Internet Res 2021;23(1):e25830

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Article has an altmetric score of 3