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

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. …”

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

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Forecasts of cancer patients’ medical use (cancer type/cases). by Jinah Sim (15140709)

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Forecasts of cancer patients’ medical use (cancer type/cases). by Jinah Sim (15140709)

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

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The number of expected vaccinations decreases with the expected vaccination time, whereas the peak of infections increases. by Simon K. Schnyder (16632244)

“…These data follow the same qualitative trend as for certain vaccination timing, but the sharper the probability distribution (the higher the <i>n</i>), the more closely the result approaches the case of certain vaccination at <i>t</i> = <i>t</i>_<i>v</i>. …”

Impact of large choroidal vessels (LCV) and topographical orientation on percentage of flow deficit (FD%) values. by Valentin Hacker (9956024)

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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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)

“…<p><b>(a)</b> By increasing the value ‘<i>a</i>’ from 0.107 to 0.134. <b>(b)</b> By decreasing the value ‘<i>a</i>’ from 0.107 to 0.08.…”

Daily confirmed COVID-19 cases (n = 61,993) and smoothed trends for the median age of all the cases, hospitalized cases, and deceased cases. by Diego Casas-Deza (11819838)

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Population infected in case of increase in susceptibility. by Juliano Genari (13794299)

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Shows for fifty representative countries the predicted regression of the reciprocal of the rate of increase of the log of confirmed cases (CT^-1) vs the median minimal temperature. by Adam Kaplin (10156481)

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Parameters values for the baseline scenario correspond to the posterior median value <i>β</i>_<i>base</i> = 0.31, <i>ω</i>_<i>base</i> = 0.12, λ<sub><i>v</i>1</... by Maria L. Daza–Torres (12568896)

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Knockout of <i>NbNBR1</i> decreases TYLCV-BJ infection. by Tingting Zhou (163678)

Temporal distribution of COVID-19 confirmed cases: Hospitalised cases and deaths. by Imelda Sonia Nzinnou Mbiaketcha (14670572)

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Age of patients according to the leishmaniasis clinical form in metropolitan France (n = 509; 8 missing data); red, mean ± standard deviation. by Grégoire Pasquier (3317223)

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

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Expression of NFATc1 is decreased in <i>Tcirg1</i>-knockdown osteoclasts. by Dongyan Zhang (640677)