Pertussis booster vaccine for adolescents and young adults in São Paulo, Brazil

OBJECTIVE: To develop a model to assess different strategies of pertussis booster vaccination in the city of São Paulo. METHODS: A dynamic stationary age-dependent compartmental model with waning immunity was developed. The "Who Acquires Infection from Whom" matrix was used to modeling age-dependent transmission rates. There were tested different strategies including vaccine boosters to the current vaccination schedule and three of them were reported: (i) 35% coverage at age 12, or (ii) 70% coverage at age 12, and (iii) 35% coverage at age 12 and 70% coverage at age 20 at the same time. RESULTS: The strategy (i) achieved a 59% reduction of pertussis occurrence and a 53% reduction in infants while strategy (ii) produced 76% and 63% reduction and strategy (iii) 62% and 54%, respectively. CONCLUSION: Pertussis booster vaccination at age 12 proved to be the best strategy among those tested in this study as it achieves the highest overall reduction and the greatest impact among infants who are more susceptible to pertussis complications.

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Seasonal Variation of Suicide in the City of São Paulo, Brazil, 1996–2010

Crisis ◽

10.1027/0227-5910/a000222 ◽

2014 ◽

Vol 35 (1) ◽

pp. 5-9 ◽

Cited By ~ 10

Author(s):

Daniel Hideki Bando ◽

Fernando Madalena Volpe

Keyword(s):

Seasonal Pattern ◽

Total Sample ◽

Sao Paulo ◽

Seasonal Patterns ◽

São Paulo ◽

Health Statistics ◽

Males And Females ◽

June July ◽

The City ◽

Over Time

Background: In light of the few reports from intertropical latitudes and their conflicting results, we aimed to replicate and update the investigation of seasonal patterns of suicide occurrences in the city of São Paulo, Brazil. Methods: Data relating to male and female suicides were extracted from the Mortality Information Enhancement Program (PRO-AIM), the official health statistics of the municipality of São Paulo. Seasonality was assessed by studying distribution of suicides over time using cosinor analyses. Results: There were 6,916 registered suicides (76.7% men), with an average of 39.0 ± 7.0 observed suicides per month. For the total sample and for both sexes, cosinor analysis estimated a significant seasonal pattern. For the total sample and for males suicide peaked in November (late spring) with a trough in May–June (late autumn). For females, the estimated peak occurred in January, and the trough in June–July. Conclusions: A seasonal pattern of suicides was found for both males and females, peaking in spring/summer and dipping in fall/winter. The scarcity of reports from intertropical latitudes warrants promoting more studies in this area.

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Reaching Out to the Needy? Access to Justice and Public Attorneys’ Role in Right to Health Litigation in the City of Sao Paulo

SSRN Electronic Journal ◽

10.2139/ssrn.2165209 ◽

2012 ◽

Cited By ~ 1

Author(s):

Daniel Wang ◽

Octavio Luiz Motta Ferraz

Keyword(s):

Right To Health ◽

Sao Paulo ◽

Access To Justice ◽

São Paulo ◽

The City ◽

The Needy

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AEROSOLS OBSERVATIONS BY AN ELASTIC LIDAR SYSTEM OVER THE CITY OF SÃO PAULO, BRAZIL

Journal of Aerosol Science ◽

10.1016/s0021-8502(21)00186-5 ◽

2001 ◽

Vol 32 ◽

pp. 407-408

Author(s):

E. LANDULFO ◽

A. PAPAYANNIS ◽

A. ZANARDI DE FREITAS ◽

M.P.P.. M. JORGE ◽

N.D. VIEIRA JÚNIOR

Keyword(s):

Sao Paulo ◽

São Paulo ◽

Lidar System ◽

The City

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The Impact of COVID-19 on Urban Agriculture in São Paulo, Brazil

Sustainability ◽

10.3390/su13116185 ◽

2021 ◽

Vol 13 (11) ◽

pp. 6185

Author(s):

André Ruoppolo Biazoti ◽

Angélica Campos Nakamura ◽

Gustavo Nagib ◽

Vitória Oliveira Pereira de Souza Leão ◽

Giulia Giacchè ◽

...

Keyword(s):

Urban Agriculture ◽

Technical Assistance ◽

Community Gardens ◽

Sao Paulo ◽

Food Chains ◽

São Paulo ◽

Sales Channels ◽

Paulo State ◽

The Impact ◽

The City

During the initial months of the COVID-19 pandemic, farmers worldwide were greatly affected by disruptions in the food chain. In 2020, São Paulo city experienced most of the effects of the pandemic in Brazil, with 15,587 deaths through December 2020. Here, we describe the impacts of COVID-19 on urban agriculture (UA) in São Paulo from April to August 2020. We analyzed two governmental surveys of 2100 farmers from São Paulo state and 148 from São Paulo city and two qualitative surveys of volunteers from ten community gardens and seven urban farmers. Our data showed that 50% of the farmers were impacted by the pandemic with drops in sales, especially those that depended on intermediaries. Some farmers in the city adapted to novel sales channels, but 22% claimed that obtaining inputs became difficult. No municipal support was provided to UA in São Paulo, and pre-existing issues were exacerbated. Work on community gardens decreased, but no garden permanently closed. Post COVID-19, UA will have the challenge of maintaining local food chains established during the pandemic. Due to the increase in the price of inputs and the lack of technical assistance, governmental efforts should be implemented to support UA.

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Mathematical model of COVID-19 intervention scenarios for São Paulo—Brazil

Nature Communications ◽

10.1038/s41467-020-20687-y ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

Osmar Pinto Neto ◽

Deanna M. Kennedy ◽

José Clark Reis ◽

Yiyu Wang ◽

Ana Carolina Brisola Brizzi ◽

...

Keyword(s):

Compartmental Model ◽

Time Window ◽

Algorithm Design ◽

Sao Paulo ◽

Intervention Strategies ◽

Transmission Dynamics ◽

São Paulo ◽

Protective Behavior ◽

Social Distancing ◽

Multi Objective Genetic Algorithm

AbstractWith COVID-19 surging across the world, understanding the effectiveness of intervention strategies on transmission dynamics is of primary global health importance. Here, we develop and analyze an epidemiological compartmental model using multi-objective genetic algorithm design optimization to compare scenarios related to strategy type, the extent of social distancing, time window, and personal protection levels on the transmission dynamics of COVID-19 in São Paulo, Brazil. The results indicate that the optimal strategy for São Paulo is to reduce social distancing over time with a stepping-down reduction in the magnitude of social distancing every 80-days. Our results also indicate that the ability to reduce social distancing depends on a 5–10% increase in the current percentage of people strictly following protective guidelines, highlighting the importance of protective behavior in controlling the pandemic. Our framework can be extended to model transmission dynamics for other countries, regions, states, cities, and organizations.

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