Building health system resilience and pandemic preparedness using wastewater-based epidemiology from SARS-CoV-2 monitoring in Bengaluru, India

被引:2
|
作者
Chaudhuri, Angela [1 ]
Pangaria, Aditya [2 ]
Sodhi, Chhavi [1 ]
Kumar, Nitish, V [2 ]
Harshe, Shirish [1 ]
Parikh, Neha [1 ]
Shridhar, Varsha [3 ]
机构
[1] Swasti, Bengaluru, India
[2] Catalyst Management Serv, Bengaluru, India
[3] Mol Solut Care Hlth LLP, Bengaluru, India
关键词
COVID-19; early warning signals; epidemiological curve; inflection points; health equity; wastewater-based epidemiology; environmental surveillance;
D O I
10.3389/fpubh.2023.1064793
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The COVID-19 pandemic was a watershed event for wastewater-based epidemiology (WBE). It highlighted the inability of existing disease surveillance systems to provide sufficient forewarning to governments on the existing stage and scale of disease spread and underscored the need for an effective early warning signaling system. Recognizing the potentiality of environmental surveillance (ES), in May 2021, COVIDActionCollaborative launched the Precision Health platform. The idea was to leverage ES for equitable mapping of the disease spread in Bengaluru, India and provide early information regarding any inflection in the epidemiological curve of COVID-19. By sampling both networked and non-networked sewage systems in the city, the platform used ES for both equitable and comprehensive surveillance of the population to derive precise information on the existing stage of disease maturity across communities and estimate the scale of the approaching threat. This was in contrast to clinical surveillance, which during the peak of the COVID-19 pandemic in Bengaluru excluded a significant proportion of poor and vulnerable communities from its ambit of representation. The article presents the findings of a sense-making tool which the platform developed for interpreting emerging signals from wastewater data to map disease progression and identifying the inflection points in the epidemiological curve. Thus, the platform accurately generated early warning signals on disease escalation and disseminated it to the government and the general public. This information enabled concerned audiences to implement preventive measures in advance and effectively plan their next steps for improved disease management.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Wastewater-Based Epidemiology for Community Monitoring of SARS-CoV-2: Progress and Challenges
    Kumblathan, Teresa
    Liu, Yanming
    Uppal, Gursharan K.
    Hrudey, Steve E.
    Li, Xing-Fang
    ACS ENVIRONMENTAL AU, 2021, 1 (01): : 18 - 31
  • [2] Technical framework for wastewater-based epidemiology of SARS-CoV-2
    Wu, Jinyong
    Wang, Zizheng
    Lin, Yufei
    Zhang, Lihua
    Chen, Jing
    Li, Panyu
    Liu, Wenbin
    Wang, Yabo
    Yao, Changhong
    Yang, Kun
    SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 791
  • [3] Prediction of hospitalisations based on wastewater-based SARS-CoV-2 epidemiology
    Schenk, Hannes
    Heidinger, Petra
    Insam, Heribert
    Kreuzinger, Norbert
    Markt, Rudolf
    Naegele, Fabiana
    Oberacher, Herbert
    Scheffknecht, Christoph
    Steinlechner, Martin
    Vogl, Gunther
    Wagner, Andreas Otto
    Rauch, Wolfgang
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 873
  • [4] SARS-CoV-2 shedding sources in wastewater and implications for wastewater-based epidemiology
    Li, Xuan
    Kulandaivelu, Jagadeeshkumar
    Guo, Ying
    Zhang, Shuxin
    Shi, Jiahua
    O'Brien, Jake
    Arora, Sudipti
    Kumar, Manish
    Sherchan, Samendra P.
    Honda, Ryo
    Jackson, Greg
    Luby, Stephen P.
    Jiang, Guangming
    JOURNAL OF HAZARDOUS MATERIALS, 2022, 432
  • [5] Wastewater-based epidemiology: A Brazilian SARS-COV-2 surveillance experience
    Bueno, Rodrigo de Freitas
    Mantovani Claro, Ieda Carolina
    Augusto, Matheus Ribeiro
    Alves Duran, Adriana Feliciano
    Bomediano Camillo, Livia de Moraes
    Cabral, Aline Diniz
    Sodre, Fernando Fabriz
    Silveira Brandao, Cristina Celia
    Vizzotto, Carla Simone
    Silveira, Rafaella
    Mendes, Geovana de Melo
    Arruda, Andrea Fernandes
    de Brito, Nubia Natalia
    Souza Machado, Bruna Aparecida
    Mendes Duarte, Gabriela Rodrigues
    Aguiar-Oliveira, Maria de Lourdes
    JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 2022, 10 (05):
  • [6] Uncertainties in estimating SARS-CoV-2 prevalence by wastewater-based epidemiology
    Li, Xuan
    Zhang, Shuxin
    Shi, Jiahua
    Luby, Stephen P.
    Jiang, Guangming
    CHEMICAL ENGINEERING JOURNAL, 2021, 415 (415)
  • [7] Wastewater-based SARS-CoV-2 environmental monitoring for Piedmont, Italy
    Robotto, Angelo
    Lembo, David
    Quaglino, Paola
    Brizio, Enrico
    Polato, Denis
    Civra, Andrea
    Cusato, Jessica
    Di Perri, Giovanni
    ENVIRONMENTAL RESEARCH, 2022, 203 (203)
  • [8] COVID-19 (SARS-CoV-2) outbreak monitoring using wastewater-based epidemiology in Qatar
    Saththasivam, Jayaprakash
    El-Malah, Shimaa S.
    Gomez, Tricia A.
    Jabbar, Khadeeja A.
    Remanan, Reshma
    Krishnankutty, Arun K.
    Ogunbiyi, Oluwaseun
    Rasool, Kashif
    Ashhab, Sahel
    Rashkeev, Sergey
    Bensaad, Meryem
    Ahmed, Ayeda A.
    Mohamoud, Yasmin A.
    Malek, Joel A.
    Abu Raddad, Laith J.
    Jeremijenko, Andrew
    Abu Halaweh, Hussein A.
    Lawler, Jenny
    Mahmoud, Khaled A.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 774
  • [9] Data modelling recipes for SARS-CoV-2 wastewater-based epidemiology
    Rauch, Wolfgang
    Schenk, Hannes
    Insam, Heribert
    Markt, Rudolf
    Kreuzinger, Norbert
    ENVIRONMENTAL RESEARCH, 2022, 214
  • [10] A scoping review of global SARS-CoV-2 wastewater-based epidemiology in light of COVID-19 pandemic
    Rashid, Siti Aishah
    Rajendiran, Sakshaleni
    Nazakat, Raheel
    Sham, Noraishah Mohammad
    Hasni, Nurul Amalina Khairul
    Anasir, Mohd Ishtiaq
    Kamel, Khayri Azizi
    Robat, Rosnawati Muhamad
    HELIYON, 2024, 10 (09)