The numerical solution of model (1) for infected compartment vs. time with different scenarios of Phase 6 in the First Case: 1^<i>st</i> scenario, no lockdown is implemen... by Sara K. Al-Harbi (12418482)

The numerical solution of model (1) for infected compartment vs. time with different scenarios of Phase 2 in the First Case: 1^<i>st</i> scenario, no lockdown is implemen... by Sara K. Al-Harbi (12418482)

Standardised patient case descriptions. by Anita Svadzian (15927140)

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ACF and PACF graphs for COVID-19 cases in Belo Horizonte, Brazil. by Eder Dias (18017864)

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Prediction of COVID-19 infection cases taking into account mobility issues. by Eder Dias (18017864)

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Characteristics of co-infected cases from case reports and series. by Polrat Wilairatana (50854)

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Forecasts of cancer patients’ medical use and expenditure (income/admission cases). by Jinah Sim (15140709)

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Forecasts of cancer patients’ medical use and expenditure (income/outpatient cases). by Jinah Sim (15140709)

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Maternal Deaths from COVID-19 in Brazil: Increase during the Second Wave of the Pandemic by Carlos André Scheler (13253751)

Distribution of sample weights in the donor pool for synthetic Hong Kong. by Pengyu Zhu (1819939)

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The timeline of a series of mass gatherings and public demonstrations in Hong Kong in mid-2020. by Pengyu Zhu (1819939)

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Pre-intervention balance of predictor variables in Panel A (June 20 as the intervention point). by Pengyu Zhu (1819939)

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DM and CVD events and rates by period for COVID-19 cases and controls. by Emma Rezel-Potts (9159882)

The numerical solution of model (1) for infected compartment vs. time with different scenarios of Phase 5 in the First Case: 1^<i>st</i> scenario, no lockdown is implemen... by Sara K. Al-Harbi (12418482)

Daily cumulative number of first reported case COVID-19 and school closure. by José Ignacio Nazif-Muñoz (10515410)

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Monthly number of TB suspects and newly diagnosed patients with TB before and during the COVID-19 pandemic. by Trisasi Lestari (5620799)

Matrix crosslinking decreases cell migration persistence. by Michael Pamonag (12295175)

Estimation and prediction of the incidence <i>I</i>(<i>t</i>) in synthetic data. by Oscar Fajardo-Fontiveros (20469421)

“…For each of these scenarios, we consider four testing and reporting models (see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012687#sec009" target="_blank">Methods</a> for details): constant reporting exponent <i>n</i> = −1 and testing that grows indefinitely with incidence (left column); constant reporting exponent <i>n</i> = −2 and testing that grows indefinitely with incidence (center-left column); variable reporting exponent <i>n</i> = −<i>α</i> log <i>C</i> and testing that grows indefinitely with incidence (center-right column); variable reporting exponent <i>n</i> = −<i>α</i> log <i>C</i> and testing that saturates at high incidence values (right column). …”

Precipitation coefficients and 95% confidence intervals. by Benny Ren (14279229)

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Intercept and holiday coefficients with 95% confidence intervals based on robust standard errors. by Benny Ren (14279229)

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