Dayanne Maria Damasceno1, Wandklebson Silva da Paz2, Carlos Dornels Freire de Souza3, Allan Dantas Dos Santos4,5, Márcio Bezerra-Santos6,7,8. 1. Post-Graduate Program in Parasitic Diseases and Environment, Universidade Estadual de Alagoas, Santana do Ipanema, Brazil. 2. Tropical Medicine Graduate Program, Universidade Federal de Pernambuco, Recife, Brazil. 3. Department of Medicine, Universidade Federal de Alagoas, Arapiraca, Brazil. 4. Department of Nursing, Universidade Federal de Sergipe, Lagarto, Brazil. 5. Nursing Graduate Program, Aracaju, Brazil. 6. Health Science Graduate Program, Aracaju, Brazil. 7. Department of Morphology, Universidade Federal de Sergipe, Aracaju, Brazil. 8. Immunology and Molecular Biology Laboratory, University Hospital, Universidade Federal de Sergipe, Aracaju, Brazil.
Abstract
OBJECTIVES: To analyse and map the leprosy risk areas in the state of Alagoas, an endemic region in the Northeastern Brazil, between 2001 and 2019. METHODS: Ecological and time series study, using spatial analysis techniques. First, we analyse the epidemiological aspects of leprosy cases, using the data available in the Notifiable Diseases Information System; then, we used the segmented log-linear regression model to assess time trends. Spatial distribution was analysed by the Local Empirical Bayesian Estimator and by calculating the Global and Local Moran Index. Finally, spatiotemporal clusters were identified through scanning statistics, using the Kulldorf method of retrospective analysis. RESULTS: We observed that Alagoas showed an average new case detection rate of 14.43/100,000 inhabitants between 2001 and 2019, being classified as highly endemic. The area of highest risk was the 9th health region (state hinterland), with increasing time trend (Annual Percentage Change/APC = 7.2; p-value < 0.05). Several clusters of high risk of leprosy transmission were verified in Alagoas, including the state capital and hinterland municipalities. CONCLUSIONS: Our data indicate that active M. leprae transmission persists in Alagoas; that diagnosis is delayed and that there are high-risk areas, especially in inland municipalities.
OBJECTIVES: To analyse and map the leprosy risk areas in the state of Alagoas, an endemic region in the Northeastern Brazil, between 2001 and 2019. METHODS: Ecological and time series study, using spatial analysis techniques. First, we analyse the epidemiological aspects of leprosy cases, using the data available in the Notifiable Diseases Information System; then, we used the segmented log-linear regression model to assess time trends. Spatial distribution was analysed by the Local Empirical Bayesian Estimator and by calculating the Global and Local Moran Index. Finally, spatiotemporal clusters were identified through scanning statistics, using the Kulldorf method of retrospective analysis. RESULTS: We observed that Alagoas showed an average new case detection rate of 14.43/100,000 inhabitants between 2001 and 2019, being classified as highly endemic. The area of highest risk was the 9th health region (state hinterland), with increasing time trend (Annual Percentage Change/APC = 7.2; p-value < 0.05). Several clusters of high risk of leprosy transmission were verified in Alagoas, including the state capital and hinterland municipalities. CONCLUSIONS: Our data indicate that active M. leprae transmission persists in Alagoas; that diagnosis is delayed and that there are high-risk areas, especially in inland municipalities.
Authors: Mariana do Rosário Souza; Wandklebson Silva da Paz; Vinícius Barbosa Dos Santos Sales; Gleidson Felipe Hilario de Jesus; Débora Dos Santos Tavares; Shirley V M Almeida Lima; Álvaro Francisco Lopes Sousa; Enaldo Vieira de Melo; Rodrigo Feliciano do Carmo; Carlos Dornels Freire de Souza; Márcio Bezerra-Santos Journal: Front Pharmacol Date: 2022-06-29 Impact factor: 5.988
Authors: Wandklebson Silva da Paz; Mariana do Rosário Souza; Débora Dos Santos Tavares; Amélia Ribeiro de Jesus; Allan Dantas Dos Santos; Rodrigo Feliciano do Carmo; Carlos Dornels Freire de Souza; Márcio Bezerra-Santos Journal: Lancet Reg Health Am Date: 2022-01-15