Decreasing pixel differences caused by worm movement correspond to decreasing locomotive health. by Areta Jushaj (8525655)

Climatic and demographic characteristics of the two cities analyzed: São Paulo/SP and Natal/RN. Data obtained from IBGE [22] and INMET [23]. by Camila Lorenz (3481175)

Viral spread during pandemics like Covid-19. by Martin Hübner (3474260)

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

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

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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)

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Diagnostic efficacy of oropharyngeal microbial classifier on Omicron variant. by Guangying Cui (459719)

Subjects: “…conditional pathogens increased…”

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. …”

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)

Sensitivity analysis heatmap for perturbations of 1%, 10%, and 50% in optimized parameters with Covid-19 data in Brazil. by Hélder Seixas Lima (18840636)

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

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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.…”

TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of numbe... by Brent J. Bellinger (21156150)

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)

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