Integrating socio-economic vulnerability factors improves neighborhood-scale wastewater-based epidemiology for public health applications-Reference-Cited by-同舟云学术

Integrating socio-economic vulnerability factors improves neighborhood-scale wastewater-based epidemiology for public health applications

Published:2024-05 Issue: Volume:254 Page:121415
ISSN:0043-1354
Container-title:Water Research
language:en
Short-container-title:Water Research

Author:

Saingam Prakit^ORCID,Jain Tanisha,Woicik Addie,Li Bo,Candry Pieter^ORCID,Redcorn Raymond^ORCID,Wang Sheng,Himmelfarb Jonathan,Bryan Andrew,Gattuso Meghan,Winkler Mari K.H.

Funder

AXA Research Fund

Publisher

Elsevier BV

Reference56 articles.

1. Longitudinal SARS-CoV-2 RNA wastewater monitoring across a range of scales correlates with total and regional COVID-19 burden in a well-defined urban population;Acosta;Water Res.,2022

2. Application of machine learning for multi-community COVID-19 outbreak predictions with wastewater surveillance;Ai;PLoS ONE,2022

3. Survival rate in acute kidney injury superimposed COVID-19 patients: a systematic review and meta-analysis;Ali;Ren. Fail,2020

4. Comparing COVID-19 risk factors in Brazil using machine learning: the importance of socioeconomic, demographic and structural factors;Baqui;Sci. Rep,2021

5. From predictions to prescriptions: a data-driven response to COVID-19;Bertsimas;Health Care Manag. Sci,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing Public Health Surveillance: Integrating Modeling and GIS in the Wastewater-Based Epidemiology of Viruses, a Narrative Review;Pathogens;2024-08-14

2. Towards a Precision Model for Environmental Public Health: Wastewater-based Epidemiology to Assess Population-level Exposures and Related Diseases;Current Epidemiology Reports;2024-06-24