Spacetime modeling of mortality by infectious and parasitic diseases in Brazil: a 20-year ecological and population-based study
Background: Infectious and parasitic diseases (IPDs) encompass a broad range of illnesses predominantly associated with poverty. They are more prevalent in low- and middle-income countries, including Brazil, where they continue to be among the leading causes of mortality. Objective: This study aims...
Saved in:
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-01-01
|
| Series: | Therapeutic Advances in Infectious Disease |
| Online Access: | https://doi.org/10.1177/20499361251313830 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832576076144967680 |
|---|---|
| author | Lucas Almeida Andrade Carlos Dornels Freire de Souza Wandklebson Silva da Paz Danilo de Gois Souza José Augusto Passos Góes Emerson Lucas Silva Camargo Álvaro Francisco Lopes de Sousa Liliane Moretti Carneiro Isabel Amélia Costa Mendes Karina Machado Araújo Allan Dantas dos Santos Márcio Bezerra-Santos |
| author_facet | Lucas Almeida Andrade Carlos Dornels Freire de Souza Wandklebson Silva da Paz Danilo de Gois Souza José Augusto Passos Góes Emerson Lucas Silva Camargo Álvaro Francisco Lopes de Sousa Liliane Moretti Carneiro Isabel Amélia Costa Mendes Karina Machado Araújo Allan Dantas dos Santos Márcio Bezerra-Santos |
| author_sort | Lucas Almeida Andrade |
| collection | DOAJ |
| description | Background: Infectious and parasitic diseases (IPDs) encompass a broad range of illnesses predominantly associated with poverty. They are more prevalent in low- and middle-income countries, including Brazil, where they continue to be among the leading causes of mortality. Objective: This study aims to analyze the spatiotemporal dynamics of mortality due to IPDs in Brazil from 2000 to 2019. Methods: We conducted an ecological study using data on mortality by IPDs from the Brazilian Mortality Information System. We applied the segmented log-linear regression model to assess temporal trends. For spatial analysis, we used the local empirical Bayesian estimator and Moran indices. Retrospective spatiotemporal scan statistics were performed using the Poisson Probability Distribution Model. Results: Between 2000 and 2019, there were 2,155,513 deaths related to IPDs in Brazil. The leading causes of death included acute respiratory infections ( n = 1,130,069; 52.49%), septicemia ( n = 289,817; 13.46%), human immunodeficiency virus/acquired immunodeficiency syndrome ( n = 232,892; 10.82%), tuberculosis ( n = 104,121; 4.84%), and neglected tropical diseases such as Chagas disease ( n = 94,788; 4.40%) and schistosomiasis ( n = 10,272; 0.48%). An increasing temporal trend in the mortality rate from IPDs was observed in Brazil and across all its regions. Additionally, our spatiotemporal scan identified high-risk clusters of death in the Southeast and Northeast regions. Conclusion: Mortality from IPDs remains a significant public health concern in Brazil, with an increasing trend observed in all regions. Our findings underscore the urgent need for comprehensive intersectoral public policies. These policies should focus on a greater allocation of resources and investments in the most critical areas, aiming to significantly reduce the number of deaths, particularly in the most vulnerable regions. |
| format | Article |
| id | doaj-art-df49d82723ee4dc78a096ba57ed5dab8 |
| institution | Kabale University |
| issn | 2049-937X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Therapeutic Advances in Infectious Disease |
| spelling | doaj-art-df49d82723ee4dc78a096ba57ed5dab82025-01-31T12:03:20ZengSAGE PublishingTherapeutic Advances in Infectious Disease2049-937X2025-01-011210.1177/20499361251313830Spacetime modeling of mortality by infectious and parasitic diseases in Brazil: a 20-year ecological and population-based studyLucas Almeida AndradeCarlos Dornels Freire de SouzaWandklebson Silva da PazDanilo de Gois SouzaJosé Augusto Passos GóesEmerson Lucas Silva CamargoÁlvaro Francisco Lopes de SousaLiliane Moretti CarneiroIsabel Amélia Costa MendesKarina Machado AraújoAllan Dantas dos SantosMárcio Bezerra-SantosBackground: Infectious and parasitic diseases (IPDs) encompass a broad range of illnesses predominantly associated with poverty. They are more prevalent in low- and middle-income countries, including Brazil, where they continue to be among the leading causes of mortality. Objective: This study aims to analyze the spatiotemporal dynamics of mortality due to IPDs in Brazil from 2000 to 2019. Methods: We conducted an ecological study using data on mortality by IPDs from the Brazilian Mortality Information System. We applied the segmented log-linear regression model to assess temporal trends. For spatial analysis, we used the local empirical Bayesian estimator and Moran indices. Retrospective spatiotemporal scan statistics were performed using the Poisson Probability Distribution Model. Results: Between 2000 and 2019, there were 2,155,513 deaths related to IPDs in Brazil. The leading causes of death included acute respiratory infections ( n = 1,130,069; 52.49%), septicemia ( n = 289,817; 13.46%), human immunodeficiency virus/acquired immunodeficiency syndrome ( n = 232,892; 10.82%), tuberculosis ( n = 104,121; 4.84%), and neglected tropical diseases such as Chagas disease ( n = 94,788; 4.40%) and schistosomiasis ( n = 10,272; 0.48%). An increasing temporal trend in the mortality rate from IPDs was observed in Brazil and across all its regions. Additionally, our spatiotemporal scan identified high-risk clusters of death in the Southeast and Northeast regions. Conclusion: Mortality from IPDs remains a significant public health concern in Brazil, with an increasing trend observed in all regions. Our findings underscore the urgent need for comprehensive intersectoral public policies. These policies should focus on a greater allocation of resources and investments in the most critical areas, aiming to significantly reduce the number of deaths, particularly in the most vulnerable regions.https://doi.org/10.1177/20499361251313830 |
| spellingShingle | Lucas Almeida Andrade Carlos Dornels Freire de Souza Wandklebson Silva da Paz Danilo de Gois Souza José Augusto Passos Góes Emerson Lucas Silva Camargo Álvaro Francisco Lopes de Sousa Liliane Moretti Carneiro Isabel Amélia Costa Mendes Karina Machado Araújo Allan Dantas dos Santos Márcio Bezerra-Santos Spacetime modeling of mortality by infectious and parasitic diseases in Brazil: a 20-year ecological and population-based study Therapeutic Advances in Infectious Disease |
| title | Spacetime modeling of mortality by infectious and parasitic diseases in Brazil: a 20-year ecological and population-based study |
| title_full | Spacetime modeling of mortality by infectious and parasitic diseases in Brazil: a 20-year ecological and population-based study |
| title_fullStr | Spacetime modeling of mortality by infectious and parasitic diseases in Brazil: a 20-year ecological and population-based study |
| title_full_unstemmed | Spacetime modeling of mortality by infectious and parasitic diseases in Brazil: a 20-year ecological and population-based study |
| title_short | Spacetime modeling of mortality by infectious and parasitic diseases in Brazil: a 20-year ecological and population-based study |
| title_sort | spacetime modeling of mortality by infectious and parasitic diseases in brazil a 20 year ecological and population based study |
| url | https://doi.org/10.1177/20499361251313830 |
| work_keys_str_mv | AT lucasalmeidaandrade spacetimemodelingofmortalitybyinfectiousandparasiticdiseasesinbrazila20yearecologicalandpopulationbasedstudy AT carlosdornelsfreiredesouza spacetimemodelingofmortalitybyinfectiousandparasiticdiseasesinbrazila20yearecologicalandpopulationbasedstudy AT wandklebsonsilvadapaz spacetimemodelingofmortalitybyinfectiousandparasiticdiseasesinbrazila20yearecologicalandpopulationbasedstudy AT danilodegoissouza spacetimemodelingofmortalitybyinfectiousandparasiticdiseasesinbrazila20yearecologicalandpopulationbasedstudy AT joseaugustopassosgoes spacetimemodelingofmortalitybyinfectiousandparasiticdiseasesinbrazila20yearecologicalandpopulationbasedstudy AT emersonlucassilvacamargo spacetimemodelingofmortalitybyinfectiousandparasiticdiseasesinbrazila20yearecologicalandpopulationbasedstudy AT alvarofranciscolopesdesousa spacetimemodelingofmortalitybyinfectiousandparasiticdiseasesinbrazila20yearecologicalandpopulationbasedstudy AT lilianemoretticarneiro spacetimemodelingofmortalitybyinfectiousandparasiticdiseasesinbrazila20yearecologicalandpopulationbasedstudy AT isabelameliacostamendes spacetimemodelingofmortalitybyinfectiousandparasiticdiseasesinbrazila20yearecologicalandpopulationbasedstudy AT karinamachadoaraujo spacetimemodelingofmortalitybyinfectiousandparasiticdiseasesinbrazila20yearecologicalandpopulationbasedstudy AT allandantasdossantos spacetimemodelingofmortalitybyinfectiousandparasiticdiseasesinbrazila20yearecologicalandpopulationbasedstudy AT marciobezerrasantos spacetimemodelingofmortalitybyinfectiousandparasiticdiseasesinbrazila20yearecologicalandpopulationbasedstudy |