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

被引:2
|
作者
Bruhn, Fabio Raphael Pascoti [1 ,9 ]
Werneck, Guilherme Loureiro [2 ]
Barbosa, David Soeiro [3 ]
Camara, Daniel Cardoso Portela [4 ]
Simoes, Taynana Cesar [5 ]
Buzanovsky, Lia Puppim [6 ]
Duarte, Anna Gabryela Sousa [7 ]
de Melo, Saulo Nascimento [7 ]
Cardoso, Diogo Tavares [3 ]
Donato, Lucas Edel [8 ]
Maia-Elkhoury, Ana Nilce Silveira [6 ]
Belo, Vinicius Silva [7 ]
机构
[1] Univ Fed Pelotas, Dept Vet Prevent, Lab Epidemiol Vet, Capao Do Leao, RS, Brazil
[2] Univ Estado Rio De Janeiro, Dept Epidemiol, Inst Med Social, Rio De Janeiro, RJ, Brazil
[3] Univ Fed Minas Gerais, Dept Parasitol, Inst Ciencias Biol, Belo Horizonte, MG, Brazil
[4] Fundacao Oswaldo Cruz, Rio De Janeiro, RJ, Brazil
[5] Fiocruz Minas, NESPE Nucleo Estudos Saude Publ & Envelhecimento, Inst Rene Rachou, Belo Horizonte, MG, Brazil
[6] Org Panamer Saude, Rio De Janeiro, RJ, Brazil
[7] Univ Fed Sao Joao del Rei, Campus Ctr Oeste Dona Lindu, Divinopolis, MG, Brazil
[8] Minist Saude, Brasilia, DF, Brazil
[9] Univ Fed Pelotas, Capao Do Leao, RS, Brazil
关键词
epidemiology; information systems; neglected diseases; statistical models; SAO-PAULO; STATE; DISEASES; GRANDE; MODELS; HEALTH;
D O I
10.1111/zph.13092
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
AimsThis 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.
引用
收藏
页码:144 / 156
页数:13
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