Changes in daily COVID-19 cases (per 100,000 population) during school closures period accounting for 10-days delay. by Abdul Mueed (12436636)

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Changes in daily COVID-19 cases (per 100,000 population) during school reopening period accounting for 10-days delay. by Abdul Mueed (12436636)

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Changes in daily COVID-19 cases (per 100,000 population) during school reopening period accounting for 20-days delay. by Abdul Mueed (12436636)

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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 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; 9^<i>th</i> scenario, <i>ρ</i> is the same as in Phase 4; 10^<i>th</i> scenario, <i>ρ</i> is the same as in Phase 4 while <i>SD</i> increases; 13^<i>th</i> scenario, lockdown and <i>SD</i> decrease. 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 5 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; 9^<i>th</i> scenario, <i>ρ</i> is the same as in Phase 4; 10^<i>th</i> scenario, <i>ρ</i> is the same as in Phase 4 while <i>SD</i> increases; 13^<i>th</i> scenario, lockdown and <i>SD</i> decrease.…”

Baseline characteristics of COVID-19 cases treated in hospitals in Indonesia from May to August 2020 compared with the comparison group. by Muhammad Fikru Rizal (18980697)

Distribution of death cases. by Li Chen (5749)

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Characteristics of case patients (with neurological complications) and control patients (without neurological complications). by Javaria Aslam (13864104)

P-values of the dynamic coefficients between daily new COVID-19 cases per 1 million population and Type 2 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 3 mobility metrics. by Weiyu Luo (4782711)

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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)

Scaled, pairwise relative Weighted Interval Score (rWIS) (see <i>Methods</i> for description) by spatial scale for sets of team forecasts that submitted forecasts for the US nation... by Velma K. Lopez (18510171)

Mobility and log confirmed cases across time in MA and WV. by Mu-Jeung Yang (16979773)

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Percent of weeks with complete submissions for all sets of team forecasts, scaled, pairwise relative Weighted Interval Score (rWIS; see <i>Methods</i> for description), observed 95... by Velma K. Lopez (18510171)

Image_1_Case Report: Precision COVID-19 Immunization Strategy to Overcome Individual Fragility: A Case of Generalized Lipodystrophy Type 4.jpeg by Salvatore Zaffina (9775022)

Weekly notification rates of new COVID-19 cases per 100,000 inhabitants aged 0–19 years, by age class, Reggio Emilia Province, 1 September 2020–31 March 2021. by Olivera Djuric (5819579)

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Relative Incidences estimated by Self-Controlled Case Series model by vaccine brand and dose: 287 Guillain Barré Syndrome events in the anti-COVID-19 vaccinated population (27 Dece... by Cristina Morciano (9397154)

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Heatmap of the excess risk due to space-time interactions for the COVID-19 epidemic in Zhejiang Province from January to July 2020. by Haocheng Wu (559031)

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Model parameters used for simulating COVID-19 outbreaks. by Emily M. Javan (15194865)

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Description of the medical laboratory staff included in this analysis 2020–21. by Kerry Sidwell Wilson (12890013)

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Monthly number and proportion of infections and incidence rates among the medical laboratory services staff by sex, 1 April 2020–31 March 2021. by Kerry Sidwell Wilson (12890013)

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