Fraction of time, the overall of the studied data trends durations follow a geometric distribution with parameter <i>p</i> = 0.5, and with any <i>p</i>, both cases for a significan... by Héctor Raúl Olivares-Sánchez (13014866)

Mobility responsiveness to confirmed cases and initial mobility. by Mu-Jeung Yang (16979773)

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Mobility and log confirmed cases across states. by Mu-Jeung Yang (16979773)

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A comparison of actual 7-day case totals and predicted 7-day cases totals for the ML+R_t methods. by Bradley S. Price (6441476)

Relative mortality in the COVID-19 model compared to the homogeneous case of no homophily and no correlation. by Claus Kadelka (3815755)

Prevalence proportion of COVID -19 cases within the medical laboratory services staff and within international HCWs job categories. by Kerry Sidwell Wilson (12890013)

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Modeling approach to estimate the total number of incident COVID-19 cases among increased risk patients of Mass General Brigham (June to December 2022) that contributed to the observed hospitalizations and deaths. by Scott Dryden-Peterson (227433)

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S1 Data - by Xuwen Gao (375540)

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Onset of COVID-19 from January to July 2020 in Zhejiang Province, China. by Haocheng Wu (559031)

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The numerical solution of model (1) for infected compartment vs. time with different scenarios of Phase 1 in the First Case: 1^<i>st</i> scenario, no lockdown is implemented; 2^<i>nd</i> scenario, no lockdown while <i>SD</i> increases; 3^<i>rd</i> scenario, lockdown increases; 4^<i>th</i> scenario, <i>SD</i> increases; 5^<i>th</i> scenario, lockdown decreases; 6^<i>th</i> scenario, <i>SD</i> decreases; 7^<i>th</i> scenario, lockdown and <i>SD</i> increases; 8^<i>th</i> scenario, lockdown decreases and <i>SD</i> increases. by Sara K. Al-Harbi (12418482)

“…<p>The numerical solution of model <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0265779#pone.0265779.e002" target="_blank">(1)</a> for infected compartment vs. time with different scenarios of Phase 1 in the First Case: 1^<i>st</i> scenario, no lockdown is implemented; 2^<i>nd</i> scenario, no lockdown while <i>SD</i> increases; 3^<i>rd</i> scenario, lockdown increases; 4^<i>th</i> scenario, <i>SD</i> increases; 5^<i>th</i> scenario, lockdown decreases; 6^<i>th</i> scenario, <i>SD</i> decreases; 7^<i>th</i> scenario, lockdown and <i>SD</i> increases; 8^<i>th</i> scenario, lockdown decreases and <i>SD</i> increases.…”

Correlation between confirmed COVID-19 cases in Indigenous peoples and deforestation: before and after vaccination. by Humberto Laudares (21213192)

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The numerical solution of model (1) for infected compartment vs. time with different scenarios of Phase 4 in the First Case: 1^<i>st</i> scenario, no lockdown is implemented; 2^<i>nd</i> scenario, no lockdown while <i>SD</i> increases; 3^<i>rd</i> scenario, lockdown increases; 4^<i>th</i> scenario, <i>SD</i> increases; 5^<i>th</i> scenario, lockdown decreases; 6^<i>th</i> scenario, <i>SD</i> decreases; 7^<i>th</i> scenario, lockdown and <i>SD</i> increases; 8^<i>th</i> scenario, lockdown decreases and <i>SD</i> increases. by Sara K. Al-Harbi (12418482)

“…<p>The numerical solution of model <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0265779#pone.0265779.e002" target="_blank">(1)</a> for infected compartment vs. time with different scenarios of Phase 4 in the First Case: 1^<i>st</i> scenario, no lockdown is implemented; 2^<i>nd</i> scenario, no lockdown while <i>SD</i> increases; 3^<i>rd</i> scenario, lockdown increases; 4^<i>th</i> scenario, <i>SD</i> increases; 5^<i>th</i> scenario, lockdown decreases; 6^<i>th</i> scenario, <i>SD</i> decreases; 7^<i>th</i> scenario, lockdown and <i>SD</i> increases; 8^<i>th</i> scenario, lockdown decreases and <i>SD</i> increases.…”

Supplementary Material for: Scleroderma Secondary to Pembrolizumab: A Case Report and Review of 19 cases of anti PD-1-induced scleroderma. by Farrugia S. (16880841)

“…Immune checkpoint inhibitors are increasingly being used to treat various malignancies. …”

Dynamic coefficients between daily new COVID-19 cases per 1 million population and Type 1, 2, or 3 mobility metrics. by Weiyu Luo (4782711)

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P-values of the dynamic coefficients between daily new COVID-19 cases per 1 million population and Type 1 mobility metrics. by Weiyu Luo (4782711)

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S1 Data - by Nádia Cristina Pinheiro Rodrigues (9867386)

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Scaled, pairwise relative Weighted Interval Score (rWIS; see <i>Methods</i> for description) by location for national and state/territory/DC forecasts, averaged across all horizons... by Velma K. Lopez (18510171)

Clinical characteristics of COVID-19. by Polrat Wilairatana (50854)

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Associations between demographic factors and IPC practices and COVID-19 infection. by Ala Bin Tarif (13020471)

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