Subject characteristics from OPD cases. by Radha Joshi (22411067)

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COVID-19 Cases are Associated with Food Insufficiency in the United States During the COVID-19 Pandemic by Leah Elizabeth Chapman (14121946)

“…A 70,000-unit increase in COVID-19 cases was associated with a 13% higher odds of food insufficiency (OR = 1.13, 95% CI: 1.12–1.15). …”

Supplementary Material for: A History of Cerebrovascular Disease Is Independently Associated with Increased Morbidity and Mortality in Patients with COVID-19: A Cohort Study of 369,563 COVID-19 Cases in the USA by Nia A.M. (11240430)

“…<b><i>Methods:</i></b> We utilized the TriNetX Analytics Network to query 369,563 CO­VID-19 cases up to December 30, 2020. We created 8 cohorts of patients with COVID-19 diagnosis based on a previous diagnosis of CVD. …”

Annual spatial distribution of incidence cases and concentrations of wildfire-related with temporal trends. by Li Chen (5749)

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S1 File - by Young Jae Kim (8098697)

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Study flowchart. by Young Jae Kim (8098697)

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Top accuracies for diagnosing exact diseases. by Young Jae Kim (8098697)

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Dataset and demographic information. by Young Jae Kim (8098697)

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Summaries of the sensitivity and specificity. by Young Jae Kim (8098697)

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Placebo effect on the impact of confirmed cases on residents’ TCM literacy (replacement test). by Ge Zhu (1776334)

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Predicted cumulative infections and predicted cumulative cases under four scenarios compared to observed cumulative cases. by K. James Soda (9427779)

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Balance check on individual-level demographic attributes between treatment group (cases randomly assigned to a high-touch contact tracer) and control group (cases not assigned to a... by Lisa C. Lu (15503327)

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Time from entering the country until the onset of symptoms/signs in COVID-19 travel-associated cases in Vojvodina, Serbia, in the period March 6—December 31, 2020. by Tatjana Pustahija (11874024)

The share of age groups in dead patients hospitalized with COVID-19 during the study period. by Reza Mehrizi (17664330)

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Reduced contact tracing efficiency with increasing cases leads to accelerating epidemics. by Billy J. Gardner (10988034)

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Estimated associations between respiratory infectious cases and death and wildfire-related or non-wildfire-related PM_2.5 exposure (every 5 μg/m³ increase). by Li Chen (5749)

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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.…”

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.…”

Risk of mortality due to COVID-19 based on various demographic and hospitalization-associated factors in this study. by Reza Mehrizi (17664330)

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Time series data of the daily reported number of COVID-19 cases for all 47 prefectures in Japan from 1 February 2022 to 8 May 2023 (714 data points). by Ayako Sumi (3400979)