Excess mortality according to group of causes in the first year of the COVID-19 pandemic in Brazil by Raphael Mendonça Guimarães, Mariana Passos Ribeiro Pinto Basílio de Oliveira, Viviane Gomes Parreira Dutra

“…We calculated standardized mortality ratios (SMR) and 95% confidence intervals for each SMR assuming a Poisson distribution. We performed the analyses in the R program, version 4.1.3. …”
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The neglected epidemic—Risk factors associated with road traffic injuries in Mozambique: Results of the 2016 INCOMAS study by André Peralta-Santos, Sarah Gimbel, Reed Sorensen, Alfredo Covele, Yoshito Kawakatsu, Bradley H. Wagenaar, Orvalho Augusto, Kristjana Hrönn Ásbjörnsdóttir, Stephen S. Gloyd, Fatima Cuembelo, Kenneth Sherr

“…We calculated the prevalence rate ratios using a generalized linear regression with a Poisson distribution, as well as the spatial prevalence rate ratio using an Integrated Nested Laplace Approximation. …”
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Forecasting COVID-19 Epidemic in Spain and Italy Using A Generalized Richards Model with Quantified Uncertainty by Isnani Darti, Agus Suryanto, Hasan S. Panigoro, Hadi Susanto

“…Here we assume that the time series data follow a Poisson distribution. It is found that the 95% confidence interval of each parameter becomes narrow with the increasing number of data. …”
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Filter Plating Method for Rendering Picocyanobacteria Cultures Free of Heterotrophic Bacterial Contaminants and Clonal by Sean M. Kearney, Allison Coe, Kurt G. Castro, Sallie W. Chisholm

“…With this approach, motile contaminants cannot swim to the colonies, and it is possible to obtain the expected number of colonies from a given input (i.e., a Poisson distribution of colonies with an expected value equal to the input number of cells), thus ensuring clonal colonies. …”
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Estimating time since infection in early homogeneous HIV-1 samples using a poisson model by Perelson Alan S, Athreya Gayathri, Funkhouser Bob, Giorgi Elena E, Korber Bette T, Bhattacharya Tanmoy

“…Furthermore, the tool performs statistical tests on the Hamming distance frequency distribution, and outputs summary statistics (mean of the best fitting Poisson distribution, goodness of fit p-value, etc). The tool runs within minutes and can readily accommodate the tens of thousands of sequences generated through new ultradeep pyrosequencing technologies. …”
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Mapping endemic freshwater fish richness to identify high‐priority areas for conservation: An ecoregion approach by Masoud Yousefi, Arash Jouladeh‐Roudbar, Anooshe Kafash

“…We performed a generalized linear model (GLM) with quasi‐Poisson distribution to identify contemporary and historical determinants of endemic freshwater fish richness. …”
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High-resolution quantification of hepatitis C virus genome-wide mutation load and its correlation with the outcome of peginterferon-alpha2a and ribavirin combination therapy. by Weihua Wang, Xiaoan Zhang, Yanjuan Xu, George M Weinstock, Adrian M Di Bisceglie, Xiaofeng Fan

“…Genome-wide HCV mutation load varied widely with a range from 92 to 1639 mutations and presented a Poisson distribution among 56 patients (Kolmogorov-Smirnov statistic  = 0.078, p = 0.25). …”
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EEG Self-Adjusting Data Analysis Based on Optimized Sampling for Robot Control by Hao Lan Zhang, Sanghyuk Lee, Xingsen Li, Jing He

“…The data sampling and segmentation techniques combine normal distribution approximation (NDA), Poisson distribution approximation (PDA), and related sampling methods. …”
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Adherence to pharmacotherapy and medication-related beliefs in patients with hypertension in Lima, Peru. by Marta Fernandez-Arias, Ana Acuna-Villaorduna, J Jaime Miranda, Francisco Diez-Canseco, German Malaga

“…Multivariate analysis was conducted using Poisson distribution logistic regression, prevalence ratios and 95% confidence intervals were calculated.Data from 115 participants, 67% females and mean age 62.7 years were analyzed. …”
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Teaching and learning strategies in Home Enteral Nutritional Therapy: Knowledge gains perceived by caregivers by Maria Gabriela Afonso, Luiz Henrique Arroyo, Amanda Adabo Gastaldi, Ana Carolina Belmonte Assalin, Mellina Yamamura, Fernanda Berchelli Girão

“…The caregivers answered a self-administered questionnaire to assess knowledge before and after the interventions; for the analysis, a generalized linear model with Poisson distribution was proposed and the comparisons were carried out using orthogonal contrasts. …”
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Harmful impact of air pollution on severe acute exacerbation of chronic obstructive pulmonary disease: particulate matter is hazardous by Choi J, Oh JY, Lee YS, Min KH, Hur GY, Lee SY, Kang KH, Shim JJ

“…We used general linear models with Poisson distribution and log-transformation to obtain adjusted relative risk (RR). …”
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Exploring the Exponentially Decaying Merit of an Out-of-Sequence Observation by Josiah Yoder, Stanley Baek, Hyukseong Kwon, Daniel Pack

“…Numerical simulations demonstrate the accuracy of these predictions even when measurements arrive randomly according to a Poisson distribution. Simulations confirm that our approach correctly predicts which observations increase estimation accuracy based on their delay by comparing a single-step out-of-sequence Kalman filter with a selective version that drops out-of-sequence observations. …”
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Heavy precipitation, drinking water source, and acute gastrointestinal illness in Philadelphia, 2015-2017. by Anneclaire J De Roos, Michelle C Kondo, Lucy F Robinson, Arjita Rai, Michael Ryan, Charles N Haas, José Lojo, Jerald A Fagliano

“…We estimated the association using distributed lag nonlinear models, assuming a quasi-Poisson distribution of the outcome variable and with adjustment for potential confounding by seasonal and long-term time trends, ambient temperature, day-of-week, and major holidays. …”
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Deep‐dLAMP: Deep Learning‐Enabled Polydisperse Emulsion‐Based Digital Loop‐Mediated Isothermal Amplification by Linzhe Chen, Jingyi Ding, Hao Yuan, Chi Chen, Zida Li

“…The volume and occupancy data of the emulsions are then used to infer the nucleic acid concentration based on the Poisson distribution. deep‐dLAMP can accurately predict the sizes and occupancy status of each emulsion and provide accurate measurements of nucleic acid concentrations with a limit of detection of 5.6 copies µl‐1 and a dynamic range of 37.2 to 11000 copies µl‐1. …”
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Nationwide epidemiological study of severe gallstone disease in Taiwan by Lin Jou-Wei, Kuo Hsu-Ko, Wang Juin-Ling, Chang Chia-Hsuin, Huang John, Shau Wen-Yi, Lee Po-Huang

“…Annual incidence rates of gallstone-related complications and procedures were calculated and their 95% confidence intervals (CI) were estimated assuming a Poisson distribution.</p> <p>Results</p> <p>The hospital admission rate for severe gallstone disease increased with advancing age and the age-standardized rate (95% CI) per 1000 population was 0.60 (0.59–0.60) for men and 0.59 (0.59–0.60) for women. …”
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Diet and breed alter community structures of rumen protozoa in cattle subjected to different feeding systems by Cândida Camila dos Reis, Emilyn Midori Maeda, Franciane Cedrola, Elias Nunes Martins, Fabiana Matielo De Paula, Isabel Martinele

“…Data were analyzed using general linear analysis methodology with a Poisson distribution (1 %). In addition, the data underwent of Analisys Principal Component. …”
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Immunohistochemical Characterization of Tumor-Associated Macrophages in Canine Lymphomas by Sergio Vázquez, Raquel Vallejo, José Espinosa, Noive Arteche, José A. Vega, Valentín Pérez

“…Generalized linear models with Poisson distribution were used for statistical analysis. …”
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Modeling excess zeroes in an integrated analysis of vaccine safety by Roger Maansson, David Radley, Qin Jiang, Johannes Beeslaar, Scott Patterson, Judith Absalon, John Perez

“…Models based on the Poisson distribution were a poor fit. The zero-inflated negative binomial model and negative binomial hurdle model provided the closest fit. …”
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Compound Model of Task Arrivals and Load-Aware Offloading for Vehicular Mobile Edge Computing Networks by Longjiang Li, Hongmei Zhou, Shawn Xiaoli Xiong, Jianjun Yang, Yuming Mao

“…Interestingly, by formulating task arrivals as a compound process of vehicle arrivals and task generations, we found that the task arrival model for MEC servers does not belong to the standard Poisson distribution, which contradicts the popular assumption in most existing studies. …”
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Characteristics of aerosol and cloud particle size distributions in the tropical tropopause layer measured with optical particle counter and lidar by S. Iwasaki, K. Maruyama, M. Hayashi, S.-Y. Ogino, H. Ishimoto, Y. Tachibana, A. Shimizu, I. Matsui, N. Sugimoto, K. Yamashita, K. Saga, K. Iwamoto, Y. Kamiakito, A. Chabangborn, B. Thana, M. Hashizume, T. Koike, T. Oki

“…On the other hand, enhancement in the particle size distribution at radii greater than 0.9 μm and a peak at around 0.8 μm in the ratio of the standard deviation of count values to that of the Poisson distribution of the averaged count values are common features of cirrus clouds in the TTL, where the ratio shows the vertical homogeneity of the particle number. …”
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