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.…”

Cases with atypical mitotic figures in the ACC-TCGA dataset showed increased mRNA expression of <i>CDK1</i>, <i>CCNB2</i>, and <i>AURKA</i>. by Akira Ikeya (8707968)

Estimated number (in millions) of uncomplicated malaria cases per sub-population at increased risk of sub-optimal dosing. by Abena Takyi (17537340)

Table_1_One Health in Practice: Using Integrated Bite Case Management to Increase Detection of Rabid Animals in Tanzania.DOC by Kennedy Lushasi (3213054)

Large play kit. by Calli Naish (17125111)

Table_1_Uterine fibroids are associated with increased risk of pre-eclampsia: A case-control study.DOCX by Lina Gong (758447)

“…Patients with PE were identified as the case group, whereas those without PE were selected as the control group, using age-matching and a ratio of 1:5. …”

Effect of parameter <i>a</i> on the model equations by increasing and decreasing value of <i>a</i> to 25%. by Shakoor Ahmad (168711)

Defects in RNA-mediated TDP-43 self-assembly decrease nuclear localization. by Patricia M. dos Passos (18078809)

Socio-demographic characteristics of cases and controls. by Asif Jan (12885145)

Subjects:

Increases in alert level and improved border measures resulted in decreases in secondary transmissions. by Alex James (2916851)

Case study <i>GLV3.</i> by Ana Paredes-Vázquez (22756389)

Response for LQR, Case I. by Arafat Asghar (12400622)

Additional file 1 of Development of an intervention to increase health service utilisation in ex-prisoners by Stuart A Kinner (8572704)

Proximity ligation assay (PLA) in clinical cases. by Chen Yang (207381)

Number and <i>spa</i>-type of MRSA cases acquired abroad. by Torunn Gresdal Rønning (13021167)

Correlations between original epidemic risk estimates for March 16, 2020 (assuming uniform <i>R</i>_<i>e</i>) and case count increases in the subsequent week across all counties. by Emily M. Javan (15194865)

Subjects:

Library coverage was generally consistent throughout the Env sequence. by Jimin Yoon (9646685)

Subjects:

Simulated estimates of number of silicosis cases and annual tuberculosis (TB) cases at cumulative RCS distributions of increasing mean values. by Patrick Howlett (2612374)

“…Variables in the model are held constant, unless otherwise stated, at values of: a baseline silicosis prevalence of 2%, an increased odds of 1.3 of silicosis per 1 mg/m³-year increase in RCS exposure, a baseline TB incidence of 200 cases per 100,000 per year, an increased odds of 1.05 of TB per 1 mg/m³-year increase in RCS exposure, an increased odds of TB of 4x in those with silicosis, a randomly distributed baseline prevalence of HIV of 2% and an increased odds of TB of 4x in those with HIV. …”

Increased heterogeneity in susceptibility (larger <i>C</i>_<i>c</i>), greater fractions of individuals infected (larger <i>E</i>_<i>c</i>), and increased sample sizes (larger <i>F</i>) enhance our power to detect heterogeneity in susceptibility in the continuous case. by Beth M. Tuschhoff (19251419)

The number of cases of ICD-10 codes. by Mi-Hee Lee (12345399)