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Aokun Chen, Yunpeng Zhao, Yi Zheng, Hui Hu, Xia Hu, Jennifer N. Fishe, William R. Hogan, Elizabeth A. Shenkman, Yi Guo and Jiang Bian
It is prudent to take a unified approach to exploring how contextual social determinants of health (SDoH) relate to COVID-19 occurrence and outcomes. Poor geographically represented data and a small number of contextual SDoH examined in most previous res...
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Vasileios Thomopoulos and Kostas Tsichlas
In this research, we present the first steps toward developing a data-driven agent-based model (ABM) specifically designed for simulating infectious disease dynamics in Greece. Amidst the ongoing COVID-19 pandemic caused by SARS-CoV-2, this research hold...
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Shuxin Zhang, Elipsha Sharma, Ananda Tiwari, Yan Chen, Samendra P. Sherchan, Shuhong Gao, Xu Zhou, Jiahua Shi and Guangming Jiang
Wastewater surveillance has been widely used to track the prevalence of SARS-CoV-2 in communities. Although some studies have investigated the decay of SARS-CoV-2 RNA in wastewater, understanding about its fate during wastewater transport in real sewers ...
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Supranee Thongpradit, Suwannee Chanprasertyothin, Ekawat Pasomsub, Boonsong Ongphiphadhanakul and Somsak Prasongtanakij
The utilization of wastewater as a community surveillance method grew during the COVID-19 epidemic. COVID-19 hospitalizations are closely connected with wastewater viral signals, and increases in wastewater viral signals can serve as an early warning ind...
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Jacques Hermes, Marcus Rosenblatt, Christian Tönsing and Jens Timmer
Describing viral outbreaks, such as the COVID-19 pandemic, often involves employing compartmental models composed of ordinary differential equation (ODE) systems. Estimating the parameter values for these ODE models is crucial and relies on accessible da...
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Astrid Schilmann, Andrés Sánchez-Pájaro, Marbella T. Ovilla-Muñoz, Juan Téllez-Sosa, Sugey Bravo-Romero, Sara Yuvisela Bahena-Reyes, Margarita Lobato, Jesús Martínez-Barnetche, Celia Mercedes Alpuche-Aranda, Héctor Lamadrid-Figueroa and Tonatiuh Barrientos-Gutiérrez
We aimed to estimate the lead time and infection prevalence from SARS-CoV-2 wastewater (WW) monitoring compared with clinical surveillance data in Mexico to generate evidence about the feasibility of a large-scale WW surveillance system. We selected 10 W...
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Sarah Haeusser, Robert Möller, Kay Smarsly, Yousuf Al-Hakim, Norbert Kreuzinger, Johannes Pinnekamp, Mathias W. Pletz, Claudia Kluemper and Silvio Beier
Wastewater monitoring for SARS-CoV-2 is a valuable tool for surveillance in public health. However, reliable analytical methods and appropriate approaches for the normalization of results are important requirements for implementing state-wide monitoring ...
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Solange Laurentino dos Santos,Lia Giraldo da Silva Augusto,Marcilio Sandro de Medeiros,André Monteiro Costa,Frédéric Mertens
O ensaio analisou a situação da pandemia da COVID-19, apresentando as interfaces existentes entre o ambiente, o modelo de desenvolvimento econômico e a saúde pública. Como ponto de partida, considerou a compreensão da pandemia da COVID-19 como um problem...
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Mihai-Virgil Nichita, Maria-Alexandra Paun, Vladimir-Alexandru Paun and Viorel-Puiu Paun
This paper introduces an AI model designed for the diagnosis and monitoring of the SARS-CoV-2 virus. The present artificial intelligence (AI) model founded on the machine learning concept was created for the identification/recognition, keeping under obse...
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Antonia Leiße, Julia Dötzer, Alice Ruhnau, Leona Aschentrup, Florian Fischer and Kamil J. Wrona
The COVID-19 pandemic has led to various challenges in German health care, including pregnancy care. This paper aims to provide an overview of the pandemic-related challenges faced by pregnant women, new mothers, and their families in maternal and newbor...
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