## 3 Results  
To contextualise the obtained results, it is essential to understand the Division of Recife into socio-economic strata to better understand and manage the distribution of public services and resources. Recife is divided into five strata based on the percentage of Areas of Social Interest (CIS) in each neighbourhood, as shown in Table 10. Joana Bezerra Island is located in Stratum D, which includes neighbourhoods with 35-86% CIS areas. Stratum D, where Joana Bezerra Island is located, has a total population of 337,155. Joana Bezerra Island specifically represents approximately 4% of this total, with 12,629 inhabitants. This neighbourhood was chosen for the simulation due to its high population density and challenging socio-economic conditions, typical characteristics of areas with greater vulnerability to spreading infectious diseases. The initial simulation using only the SEPAI3R3O epidemiological model without agents started with 275 infection cases in Stratum D, of which 11 were attributed to Joana Bezerra Island based on the population proportion. After one week, infections increased \begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt}} \hline \hline
**Strates by \% Social Interest Area** & **Neighbourhoods** \\ \hline \multirow{4}{*}{0–3 (A)} & Recife, Santo Antonio, Ilha do Leite, Paissandu, Soledade, Boa Vista, Torreko, Cajueiro, Encruzilhada, Hipodromo, Pau Ferro, Ponto de Parada, Espinheiro, Tamarineira, Santana, Parnamirim, Aflitos, Derby, Jaqueira, Gracas, Casa Forte e \\  & Cidade Universitaria \\ \hline \multirow{4}{*}{4–15 (B)} & Sao Jose, Santo Amaro, Cabanga, Rosarinho, Arruda, Poco da Panela, Casanga, Cordeiro, Engenho do Meio, Ilha do Retiro, Madalena, Torre, Curado, Estancia, Areias, Tejipio, Boa Viagem, Ipsep e Guabiraba \\ \hline \multirow{4}{*}{16–34 (C)} & Coelhos, Campo Grande, Porto da Madeira, Casa Amarela, Monteiro, Apipucos, Iputinga, Prado, Várzea, Zumbi, Afogados, Bongi, San Martin, Jiquia, Jardim Sao Paulo, Sancho, Pina e Imbiriebia \\ \hline \multirow{4}{*}{35–86 (D)} & Joana Bezerra Island, Peixinhos, Campina do Barreto, Agua Fria, Fundao, Beberibe, Dois Unidos, Dois Irmaos, Torreos, Mustardinha, Mangueira, Cagote, Barro, Brasilia Teimosa, Corrego do Jenipapo, Macaxeira, Passarinho e Ibura \\ \hline \multirow{4}{*}{87–100 (E)} & Alto Santa Terezinha, Linha do Tiro, Bomba do Hemetetrio, Alto do Mandu, Stitio dos \\  & Pintos, Toto, Coqueiral, Alto Jose do Pinho, Alto Jose Bonifacio, Brejo da Guabiraba, Brejo de Beberibe, Mangabeira, Vasco da Gama, Nova Descobetra, Cohab e Jordão \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Division of neighbourhoods by strata. to 1090 in Stratum D, with 44 cases on Joana Bezerra Island. These values served as the baseline for subsequent simulations incorporating agents. These data are detailed in Table 11 and represented in Figure 4.  
A significant reduction in infections was observed when using the SEPAI3R3O epidemiological model combined with agent-based modelling to reflect the local socio-economic reality and the ability to model scenarios. The simulation considering the use of face masks and 50% adherence to social isolation demonstrated a 13% reduction in the number of infections (It). On Joana Bezerra Island, the final number of infections in one week dropped from 44 to 39, while that in two months decreased from 352 to 308, highlighting the effectiveness of the implemented preventive measures, as detailed in Table 12. Figure 5 represents the simulated contagion evolution over 30 and 60 days; in Figure 6, the same data zoomed in lowers values. In addition to public health impacts, the simulation also revealed positive economic effects. The introduction of agents allowed for a balance in supply consumption, avoiding significant peaks in taxation and contributing to the stabilisation of tax revenue. This indicated an improvement in the population's purchasing power, despite the initial increase in consumption due to preventive measures.