Climate variability and hospitalizations due to infectious diarrheal diseases in a municipality of the Western Brazilian Amazon Region

Duarte, Juliana Lúcia; Diaz-Quijano, Fredi Alexander; Batista, Antônio Carlos; Duarte, Alejandro Fonseca; Melchior, Leonardo Augusto Kohara; Giatti, Leandro Luiz

doi:10.1590/1413-81232018248.21232017

Acessibilidade / Reportar erro

Brasil

Español English

sumário « anterior atual seguinte »

Sumário

FREE THEMES • Ciênc. saúde coletiva 24 (8) • Aug 2019 • https://doi.org/10.1590/1413-81232018248.21232017 copy

Climate variability and hospitalizations due to infectious diarrheal diseases in a municipality of the Western Brazilian Amazon Region

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

Morbimortality due to infectious diarrheal diseases still is a serious health issue in Brazil and is highly related to factors such as weather, environment, and people’s life conditions. This study aimed to analyze the relationship between hospitalization rates due to infectious diarrheal diseases among the population of the municipality of Rio Branco (AC), Brazil and precipitation, river level, humidity and temperature between 2000 and 2013. Data were retrieved from the Hospital Information System of the SUS (Unified Health System), the National Institute of Meteorology and the National Water Agency. Multiple Poisson and negative binomial regression models were adjusted. Results showed that there is a positive association between hospitalization due to infectious diarrheal diseases and the level of the Acre river (RR: 1.07; CI 95%: 1.04 to 1.1); these hospitalization rates fell 14% between 2000 and 2013 (RR: 0.86; CI 95%: 0.85 to 0.87). The most vulnerable group was the age group of less than 1 year of age. This study showed the vulnerability of an Amazonian city to climate variability and its respective epidemiological influence on the incidence of hospitalizations due to infectious diarrheal diseases.

Key words
Diarrhea; Floods; Climate; Climate change; Amazonian ecosystem

Variable	RR (CI95%)	Negative binomial regression model^* * Alpha of the Negative binomial regression model = 0.29 (95% CI: 0.25-0.33, p < 0.001). Each estimate is adjusted by the other variables listed in the table.
Variable	RR (CI95%)	Adjusted RR (CI95%)	p-value
River level (m)	1.07 (1.06 to 1.10)	1.07 (1.04 to 1.10)	<0.001
Relative humidity (%)	0.97 (0.96 to 0.98)	0.97 (0.96 to 0.99)	<0.001
Year	0.86 (0.86 to 0.87)	0.86 (0.85 to 0.87)	<0.001
Age group
< 1	Reference	Reference
1 to 4	0.32 (0.30 to 0.33)	0.33 (0.29 to 0.38)	<0.001
5 to 9	0.06 (0.05 to 0.06)	0.07 (0.06 to 0.08)	<0.001
10 to 14	0.02 (0.02 to 0.03)	0.04 (0.03 to 0.04)	<0.001
15 to 19	0.01 (0.00 to 0.01)	0.01 (0.00 to 0.02)	<0.001
20 to 29	0.01 (0.01 to 0.01)	0.02 (0.01 to 0.02)	<0.001
30 to 39	0.01 (0.01 to 0.02)	0.02 (0.02 to 0.03)	<0.001
40 to 49	0.01 (0.01 to 0.02)	0.02 (0.02 to 0.03)	<0.001
50 to 59	0.03 (0.02 to 0.03)	0.04 (0.03 to 0.04)	<0.001
60 to 69	0.06 (0.05 to 0.07)	0.08 (0.06 to 0.09)	<0.001
70 to 79	0.12 (0.10 to 0.14)	0.14 (0.11 to 0.16)	<0.001
> 80	0.23 (0.20 to 0.26)	0.26 (0.20 to 0.30)	<0.001

ABRASCO - Associação Brasileira de Saúde Coletiva Av. Brasil, 4036 - sala 700 Manguinhos, 21040-361 Rio de Janeiro RJ - Brazil, Tel.: +55 21 3882-9153 / 3882-9151 - Rio de Janeiro - RJ - Brazil
E-mail: cienciasaudecoletiva@fiocruz.br

Acompanhe os números deste periódico no seu leitor de RSS

[1] Collaborations

JL Duarte worked on the writing of the scientific article in all phases: idealization of the study, collection and analysis of the data, bibliographic survey, discussion of the results and writing of the work. FA Diaz-Quijano contributed to the analysis of the data, with the discussion of the results and with the final revision of the article. AC Batista, and AF Duarte contributed to the idealization of the work, with the data collection and with the final revision of the article. LAK Melchior collaborated with the bibliographical survey, with the discussion of the results and with the final revision of the article. LL Giatti has worked on guiding the work from its idealization to its final review and approval.