Local protection bubbles: an interpretation of the slowdown in the spread of coronavirus in the city of São Paulo, Brazil, in July 2020
Nenhuma Miniatura disponível
Citações na Scopus
0
Tipo de produção
article
Data de publicação
2023
Título da Revista
ISSN da Revista
Título do Volume
Editora
CADERNOS SAUDE PUBLICA
Autores
PINTO, Jose Paulo Guedes
MAGALHAES, Patricia Camargo
ALVES, Domingos
ANGEL, Diana Maritza Segura
Citação
CADERNOS DE SAUDE PUBLICA, v.39, n.11, article ID e00109522, 14p, 2023
Resumo
After four months of fighting the pandemic, the city of Sao Paulo, Brazil, en-tered a phase of relaxed social distancing measures in July 2020. Simulta-neously, there was a decline in the social distancing rate and a reduction in the number of cases, fatalities, and hospital bed occupancy. To understand the pandemic dynamics in the city of Sao Paulo, we developed a multi-agent simulation model. Surprisingly, the counter-intuitive results of the model fol-lowed the city's reality. We argue that this phenomenon could be attributed to local bubbles of protection that emerged in the absence of contagion net-works. These bubbles reduced the transmission rate of the virus, causing short and temporary reductions in the epidemic curve - but manifested as an un-stable equilibrium. Our hypothesis aligns with the virus spread dynamics ob-served thus far, without the need for ad hoc assumptions regarding the natu-ral thresholds of collective immunity or the heterogeneity of the population's transmission rate, which may lead to erroneous predictions. Our model was designed to be user-friendly and does not require any scientific or program-ming expertise to generate outcomes on virus transmission in a given loca-tion. Furthermore, as an input to start our simulation model, we developed the COVID-19 Protection Index as an alternative to the Human Development Index, which measures a given territory vulnerability to the coronavirus and includes characteristics of the health system and socioeconomic development, as well as the infrastructure of the city of Sao Paulo.
Palavras-chave
Social Distancing, COVID-19, Virus Shedding
Referências
- Acao Covid-19, Um bairro, duas curvas: Copacabana entre o morro e o asfalto
- Acao Covid-19, Um bairro, duas curvas: entre Barra do Ceara e Meireles
- Ajelli M, 2010, BMC INFECT DIS, V10, DOI 10.1186/1471-2334-10-190
- Alves D, 2003, J BIOL PHYS, V29, P63, DOI 10.1023/A:1022567418081
- Amaku M, 2021, INFECT DIS MODEL, V6, P46, DOI 10.1016/j.idm.2020.11.004
- Amaral F, 2021, SENSORS-BASEL, V21, DOI 10.3390/s21020540
- Batistela CM, 2021, CHAOS SOLITON FRACT, V142, DOI 10.1016/j.chaos.2020.110388
- Bielecki M, 2021, CLIN INFECT DIS, V72, P598, DOI 10.1093/cid/ciaa889
- Bisin A, 2020, Learning epidemiology by doing: the empirical implications of a Spatial-SIR model with behavioral responses
- Brauer M, 2020, ENVIRON HEALTH PERSP, V128, DOI 10.1289/EHP7200
- Britton T, 2020, SCIENCE, V369, P846, DOI 10.1126/science.abc6810
- Cao WCC, 2007, NEW ENGL J MED, V357, P1162, DOI 10.1056/NEJMc070348
- caocovid19-homolog.web.app, AcIo Covid-19. Uma cidade, muitas curvas: entre Brasilandia, Sapopemba e Jardins
- Cruz Carlos Henrique de Brito, 2020, Rev. bras. epidemiol., V23, pe200056, DOI 10.1590/1980-549720200056
- Edridge AWD, 2020, NAT MED, V26, P1691, DOI 10.1038/s41591-020-1083-1
- Feikin DR, 2022, LANCET, V399, P924, DOI 10.1016/S0140-6736(22)00152-0
- Flaxman S, 2020, NATURE, V584, P257, DOI 10.1038/s41586-020-2405-7
- Fundacao Sistema Estadual de Analises de Dados, Boletim completo
- Gallais F, 2021, EMERG INFECT DIS, V27, P113, DOI 10.3201/eid2701.203611
- Gomes MGM, 2022, J THEOR BIOL, V540, DOI 10.1016/j.jtbi.2022.111063
- Governo do Estado de Sao Paulo, Adesao ao isolamento social em SP
- Governo do Estado de SIo Paulo, AdesIo ao isolamento social em SP
- Grifoni A, 2020, CELL, V181, P1489, DOI 10.1016/j.cell.2020.05.015
- Guedes Pinto JP, MD Corona (modelo de dispersIo comunitaria coronavirus)
- GuimarIes BG, 2023, Advances in Natural and Technological Hazards Research, V51, P459
- Hallal PC, 2020, medRxiv, DOI [10.1101/2020.05.30.20117531v1, DOI 10.1101/2020.05.30.20117531V1, 10.1101/2020.05.30.20117531, DOI 10.1101/2020.05.30.20117531]
- Ibarra-Espinosa S, 2022, ENVIRON RES, V204, DOI 10.1016/j.envres.2021.112369
- Kellam P, 2020, J GEN VIROL, V101, P791, DOI 10.1099/jgv.0.001439
- MagalhIes P, 2020, medRxiv, DOI 10.25.20218735v2
- Magenta M, 2020, BBC News Brasil
- Mallapaty S, 2020, NATURE, V582, P467, DOI 10.1038/d41586-020-01738-2
- Ministerio da Saude, Coronavirus-COVID-19
- Mollison D, 1995, Epidemic models: their structure and relation to data
- Nakada LYK, 2021, ENVIRON SCI POLLUT R, V28, P40322, DOI 10.1007/s11356-020-10930-w
- Neto OP, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-020-20687-y
- Nunes MRB, 2017, Doctoral Dissertation
- Pan XF, 2020, LANCET INFECT DIS, V20, P410, DOI 10.1016/S1473-3099(20)30114-6
- Prefeitura de Sao Paulo, Painel COVID-19-Municipio de Sao Paulo
- Projeto SoroEpi MSP, Serial soroepidemiological survey to monitor the prevalence of SARSCoV-2 infection in the Municipality of Sao Paulo
- Qian GQ, 2020, CLIN INFECT DIS, V71, P861, DOI 10.1093/cid/ciaa316
- Rahmandad H, 2008, MANAGE SCI, V54, P998, DOI 10.1287/mnsc.1070.0787
- Scabini LFS, 2021, PHYSICA A, V564, DOI 10.1016/j.physa.2020.125498
- Seow J, 2020, NAT MICROBIOL, V5, P1598, DOI 10.1038/s41564-020-00813-8
- Sette A, 2020, NAT REV IMMUNOL, V20, P457, DOI 10.1038/s41577-020-0389-z
- Soltesz K, 2020, NATURE, V588, pE26, DOI 10.1038/s41586-020-3025-y
- Tindale LC, 2020, ELIFE, V9, DOI 10.7554/eLife.57149
- Venkatramanan S, 2018, EPIDEMICS-NETH, V22, P43, DOI 10.1016/j.epidem.2017.02.010
- Wilensky U, NETLOGO
- Wilensky U., NetLogo virus model
- Winskill P, 2020, Report 22: equity in response to the COVID-19 pandemic: an assessment of the direct and indirect impacts on disadvantaged and vulnerable populations in low-and lower middle-income countries, DOI 10.25561/78965
- World Health Organization, Criteria for releasing COVID-19 patients from isolation
- Wu LP, 2007, EMERG INFECT DIS, V13, P1562, DOI 10.3201/eid1310.070576
- Yang HM, 2020, EPIDEMIOL INFECT, V148, DOI 10.1017/S0950268820001600
- YORKE JA, 1979, AM J EPIDEMIOL, V109, P103, DOI 10.1093/oxfordjournals.aje.a112666
- Zou LR, 2020, NEW ENGL J MED, V382, P1177, DOI [10.1056/NEJMc2001737, 10.1148/radiol.2020200463]