Journal: Emerging Infectious Diseases

Article Title: Decrease in Tuberculosis Cases during COVID-19 Pandemic as Reflected by Outpatient Pharmacy Data, United States, 2020

doi: 10.3201/eid2804.212014

Figure Lengend Snippet: Correlation between National Tuberculosis Surveillance System case counts and IQVIA ( https://www.iqvia.com ) projected patient counts for isoniazid (A) or pyrazinamide (B) prescriptions, United States, 2006–2019. Horizontal axes show patient counts aggregated by treatment start date, removing patients who had reported resistance to isoniazid or pyrazinamide. Vertical axes show IQVIA projected patient counts aggregated by date drug was dispensed (data are on different scales). Each point represents a month, and all data during 2006–2019 are shown. Solid black lines represent regression fit for a linear model between the 2 databases; dashed gray lines indicate 95% prediction intervals. The Pearson correlation coefficient ( r ) is shown in the lower righthand corner of each plot.

Article Snippet: We used a Pearson correlation coefficient ( r ) for the aggregated dates available in both datasets to identify the combination (IQVIA database, NTSS aggregation, and month/quarter timeframe) with the strongest correlation (highest r ), which was used in subsequent analyses.

Techniques:

Journal: Emerging Infectious Diseases

Article Title: Decrease in Tuberculosis Cases during COVID-19 Pandemic as Reflected by Outpatient Pharmacy Data, United States, 2020

doi: 10.3201/eid2804.212014

Figure Lengend Snippet: Comparison of National Tuberculosis Surveillance System (NTSS) case counts and IQVIA projected patient counts for isoniazid or pyrazinamide prescriptions, United States, 2020. A, B) Projected patient counts for isoniazid (A) and pyrazinamide (B). Horizontal axis of each plot shows NTSS patient counts aggregated by treatment start date (month), removing patients who had reported resistance. Each point represents a month in 2020. The Pearson correlation coefficient ( r ) is shown in lower righthand corner of each plot. C, D) A linear model fit to the 2006–2019 data with quarter as a covariate to predict 2020 IQVIA projected patient counts for isoniazid (C) or pyrazinamide (D). Black line indicates actual data; gray line indicates expected IQVIA counts with 95% prediction intervals. Note vertical axes are different because of different scales for isoniazid and pyrazinamide in the IQVIA dataset. NTSS, National Tuberculosis Surveillance System.

Article Snippet: We used a Pearson correlation coefficient ( r ) for the aggregated dates available in both datasets to identify the combination (IQVIA database, NTSS aggregation, and month/quarter timeframe) with the strongest correlation (highest r ), which was used in subsequent analyses.

Techniques: Comparison

Journal: Nature Communications

Article Title: Atlantic water recirculation in the northern Barents Sea affects winter sea ice extent

doi: 10.1038/s41467-025-59992-9

Figure Lengend Snippet: Map of Pearson correlation coefficients derived from correlating the Barents Sea Opening (BSO) return-flow with the annual maximum sea ice area in spatial subsets of the Barents Sea, such as the white box. Hatching indicates correlation coefficients that are not statistically significant (99% confidence). Red lines depict sea ice edge (15% sea ice concentration) during annual maximum sea ice area in the Barents Sea from 1979 to 2019. Black contour lines depict bathymetry. The BSO and the Barents Sea Exit (BSX) are denoted as magenta lines.

Article Snippet: Map of Pearson correlation coefficients derived from correlating the Barents Sea Opening (BSO) return-flow with the annual maximum sea ice area in spatial subsets of the Barents Sea, such as the white box.

Techniques: Derivative Assay, Concentration Assay

Journal: ACS Omega

Article Title: Exploring the Impact of Naphthalene (Polycyclic Aromatic Hydrocarbons) on Anabas testudineus (Bloch) through Dose-Specific Bioenzymological Analysis

doi: 10.1021/acsomega.3c08535

Figure Lengend Snippet: Illustration of Pearson product-moment correlations between variable pairs, quantifying the linear relationship strength with coefficients ranging from −1 to +1. ( P -value below 0.05 indicates a significant nonzero correlation at a 95.0% confidence level. Notably, the following variable pairs exhibit P -values below 0.05: Tr and Sc, Tr and Sk, Tr and Va, Sc and Sk, Sc and Va, Sk and Va.)

Article Snippet: The Pearson product-moment correlation coefficient gauges the strength and direction of the relationship between two variables, seeking to establish a best-fit line through their data (Statgraphics Centurion XIX, The Plains, Virginia, United States).

Techniques: