Spatio‐temporal dynamics of visceral leishmaniasis in Brazil: A nonlinear regression analysis

Author:

Bruhn Fábio Raphael Pascoti1ORCID,Werneck Guilherme Loureiro2ORCID,Barbosa David Soeiro3ORCID,Câmara Daniel Cardoso Portela4ORCID,Simões Taynãna César5ORCID,Buzanovsky Lia Puppim6ORCID,Duarte Anna Gabryela Sousa7ORCID,de Melo Saulo Nascimento7ORCID,Cardoso Diogo Tavares3ORCID,Donato Lucas Edel8ORCID,Maia‐Elkhoury Ana Nilce Silveira6ORCID,Belo Vinícius Silva7ORCID

Affiliation:

1. Laboratório de Epidemiologia Veterinária Departamento de Veterinária Preventiva Universidade Federal de Pelotas Capão do Leão Rio Grande do Sul Brazil

2. Departamento de Epidemiologia Instituto de Medicina Social Universidade do Estado do Rio de Janeiro Rio de Janeiro, RJ Brazil

3. Departamento de Parasitologia Instituto de Ciências Biológicas Universidade Federal de Minas Gerais Belo Horizonte, MG Brazil

4. Fundação Oswaldo Cruz Rio de Janeiro, RJ Brazil

5. NESPE – Núcleo de Estudos em Saúde Pública e Envelhecimento Instituto Rene Rachou (Fiocruz‐Minas) Belo Horizonte Minas Gerais Brazil

6. Organização Pan‐Americana da Saúde Rio de Janeiro, RJ Brazil

7. Universidade Federal de São João del‐Rei Campus Centro‐Oeste Dona Lindu Divinópolis, MG Brazil

8. Ministério da Saúde Brasília, DF Brazil

Abstract

AbstractAimsThis study describes the spatio‐temporal dynamics of new visceral leishmaniasis (VL) cases notified in Brazil between 2001 and 2020.Methods and ResultsData on the occurrence of the disease were obtained by means of the Notifiable Diseases Information System of the Brazilian Ministry of Health. Joinpoint, temporal generalized additive models and conditional autoregressive (CAR) models were used to analyse the temporal evolution of the rates in Brazil, states and regions. Spatio‐temporal generalized additive and CAR models were used to identify the distribution of annual risks of VL occurrence in the Brazilian territory in relation to variation in the spatial average. There were 63,966 VL cases in the target period (3.198 cases/year), corresponding to a mean incidence rate of 1.68 cases/100,000 inhabitants. Of these, 4451 resulted in deaths, which gives a mean mortality rate of 0.12 deaths/100,000 inhabitants and a case fatality of 6.96%. The highest incidence rate was found in the North region, followed closely by the Northeast region, which presented the second and first highest mortality rates, respectively. For all of Brazil, and in the Northeast region, there were stability in the incidence rates, while the other regions showed an increasing trend in different time segments in the period: Central‐West up to 2011, North up to 2008, Southeast up to 2004, and South up to 2010. On the other hand, all regions experienced a reduction in incidence rate during the last years of the series. The Northeast region had the highest number of municipalities with statistically significant elevated relative risks. The spatio‐temporal analysis showed the highest risk area predominantly in the Northeast region in the beginning of the time series. From 2002 to 2018, this area expanded to the interior of the country.ConclusionsThe present study has shown that VL has expanded in Brazil. However, the North and Northeast regions continue to have the highest incidence, and the risk of infection has decreased in recent years.

Funder

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Pan American Health Organization

Publisher

Wiley

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,General Veterinary,General Immunology and Microbiology,Epidemiology

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