Daily PCR-confirmed COVID-19 cases (top). by Diego Casas-Deza (11819838)

The COVID-19 waves in South Africa. by Dephney Mathebula (19935407)

Subjects:

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)

Clinical presentation of COVID-19 travel-associated cases in Vojvodina, Serbia, in the period March 6—December 31, 2020, by sex. by Tatjana Pustahija (11874024)

Pathogen reproductive number, R_t, plotted against the ratio of contacts needing tracing to contact tracing capacity for variable delays (1/τ_Is) of 1–5 and 10... by Billy J. Gardner (10988034)

Subjects:

Patients with a reliable change in HADS total score by 4 months by treatment group, using complete cases. by Adrian Wells (4003238)

Patterns for the cumulative number of COVID-19 cases (per 1 million population) in relation to country type. by Yasuhiro Kubota (1581463)

“…<p>Based on the pattern of increasing COFVID-19 case numbers, individual countries were classified into four types (A–D): (A) Type A, countries that had a peak in the number of COVID-19 cases per week before the middle of April and had more than 1,000 COVID-19 cases per 1 million population; (B) type B, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had more than 1,000 COVID-19 cases per 1 million population; (C) type C, countries that had a peak in the number of COVID-19 cases per week before the middle of April and had less than 1,000 COVID-19 cases per 1 million population; (D) type D, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had less than 1,000 COVID-19 cases per 1 million population. …”

Odds ratios for IVW MR estimates for each outcome with <i>cis</i>CRP exposures and are on the scale of lnCRP decrease. by Fergus W. Hamilton (10724401)

Trends of depressive and anxiety symptoms (weighted means) in relation to policy responses (stringency index) and pandemic intensity (daily COVID-19 cases and deaths) between March... by Feifei Bu (11100798)

Murine typhus in Bandung_Sept2022. by Silvita Fitri Riswari (11069594)

Subjects:

SARS-CoV-2 induces circulating miRNA and cytokine changes. by Ryan J. Farr (11198097)

A three miRNA signature classifies COVID with 99.9% accuracy. by Ryan J. Farr (11198097)

Metadata record for the article: Early Pandemic COVID-19 Case Growth Rates Increase with City Size by Andrew J. Stier (10169309)

“…<p><b>Summary</b><br></p> <p>This metadata record provides details of the data supporting the claims of the related manuscript: “Early Pandemic COVID-19 Case Growth Rates Increase with City Size”.</p> <p>The related study demonstrates that early in the US outbreak, COVID-19 spread faster on average in larger cities and discusses the implications of these observations, emphasising the need for faster responses to novel infectious diseases in larger cities.…”

Daily COVID-19 case residuals. by Jack Sutton (9411465)

The COVID-19 pandemic waves observed in Mozambique. by Dephney Mathebula (19935407)

Subjects:

Linked serology analysis, showing the numbers of serology specimens and outcomes in each risk category, as well as logistic regression for the outcome of being a SARS-CoV-2 case, w... by Hannah Hussey (4593097)

Subjects:

Distribution of cases confirmed with SARS-CoV-2 infection over time. by Che Zhang (1522306)

“…<p>The first patient was diagnosed with SARS-CoV-2 infection on January 27. The daily confirmed cases were increased with time and still went up when the recruitment was cut off on February 23. …”

Flow chart of the study. by Imelda Sonia Nzinnou Mbiaketcha (14670572)

Subjects:

This is the dataset used in the analysis. by Imelda Sonia Nzinnou Mbiaketcha (14670572)

Subjects:

Crude and adjusted association estimates. by Imelda Sonia Nzinnou Mbiaketcha (14670572)

Subjects: