TY - JOUR
AU - Lopes, Paulo Henrique
AU - Wellacott, Liam
AU - de Almeida, Leandro
AU - Villavicencio, Lourdes Milagros Mendoza
AU - de Lucena Moreira, André Luiz
AU - Andrade, Dhiego Souto
AU - de Carvalho Souza, Alyson Matheus
AU - de Sousa, Rislene Katia Ramos
AU - de Souza Silva, Priscila
AU - Lima, Luciana
AU - Lones, Michael
AU - do Nascimento, José-Dias
AU - Vargas, Patricia A.
AU - Moioli, Renan Cipriano
AU - Blanco Figuerola, Wilfredo
AU - Rennó-Costa, César
PY - 2022
DA - October
TI - Measuring the impact of nonpharmaceutical interventions on the SARS-CoV-2 pandemic at a city level: An agent-based computational modelling study of the City of Natal
JO - PLOS Global Public Health
VL - 2
IS - 10
DO - https://doi.org/10.1371/journal.pgph.0000540
AB - The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic hit almost all cities in Brazil in early 2020 and lasted for several months. Despite the effort of local state and municipal governments, an inhomogeneous nationwide response resulted in a death toll amongst the highest recorded globally. To evaluate the impact of the nonpharmaceutical governmental interventions applied by different cities—such as the closure of schools and businesses in general—in the evolution and epidemic spread of SARS-CoV-2, we constructed a full-sized agent-based epidemiological model adjusted to the singularities of particular cities. The model incorporates detailed demographic information, mobility networks segregated by economic segments, and restricting bills enacted during the pandemic period. As a case study, we analyzed the early response of the City of Natal—a midsized state capital—to the pandemic. Although our results indicate that the government response could be improved, the restrictive mobility acts saved many lives. The simulations show that a detailed analysis of alternative scenarios can inform policymakers about the most relevant measures for similar pandemic surges and help develop future response protocols.
PB - Public Library of Science
UR - https://researchportal.hw.ac.uk/en/publications/df65a4e9-840f-44b0-bba8-56b63d9bcf5a
KW - Coronavirus (COVID-19)
ER