Gomes João Pedro Medeiros, Ribas Igor Magaton, Valadares Pedro Augusto Rosa, Jardim Lucas Santos, Nogueira Mário Círio, Ferreira Cássia de Castro Martins, Watanabe Aripuanã Sakurada Aranha, Ferreira Letícia de Castro Martins
Faculdade de Medicina, Universidade Federal de Juiz de Fora, Juiz de Fora, Brasil.
Instituto de Ciências Humanas, Universidade Federal de Juiz de Fora, Juiz de Fora, Brasil.
Cad Saude Publica. 2024 Mar 25;40(3):e00076723. doi: 10.1590/0102-311XPT076723. eCollection 2024.
Air temperature is a climatic factor that affects the incidence of dengue, with effects varying according to time and space. We investigated the relationship between minimum air temperature and dengue incidence in Minas Gerais, Brazil, and evaluated the influence of socioeconomic and geographic variables on this relationship. This is a time series study with analysis conducted in three distinct stages: modeling using a distributed lag non-linear model, meta-analysis of models obtained, and meta-regression with geographic and socioeconomic data. Minimum temperature was a protective factor at extreme cold temperatures (RR = 0.65; 95%CI: 0.56-0.76) and moderate cold temperatures (RR = 0.71; 95%CI: 0.64-0.79), and a risk factor at moderate hot temperatures (RR = 1.15; 95%CI: 1.07-1.24), but not at extreme hot temperatures (RR = 1.1; 95%CI: 0.99-1.22). Heterogeneity of the models was high (I2 = 60%), which was also observed in meta-regression. Moderate and extreme cold temperatures have a protective effect, while moderate hot temperatures increase the risk. However, minimum air temperature does not explain the variability in the region, not even with the other variables in meta-regression.
气温是影响登革热发病率的一个气候因素,其影响会因时间和空间而有所不同。我们研究了巴西米纳斯吉拉斯州最低气温与登革热发病率之间的关系,并评估了社会经济和地理变量对这种关系的影响。这是一项时间序列研究,分析分三个不同阶段进行:使用分布滞后非线性模型进行建模、对所得模型进行荟萃分析以及结合地理和社会经济数据进行荟萃回归。最低温度在极端寒冷温度(相对风险 = 0.65;95%置信区间:0.56 - 0.76)和中度寒冷温度(相对风险 = 0.71;95%置信区间:0.64 - 0.79)时是一个保护因素,在中度炎热温度(相对风险 = 1.15;95%置信区间:1.07 - 1.24)时是一个风险因素,但在极端炎热温度时不是(相对风险 = 1.1;95%置信区间:0.99 - 1.22)。模型的异质性较高(I² = 60%),在荟萃回归中也观察到了这一点。中度和极端寒冷温度具有保护作用,而中度炎热温度会增加风险。然而,最低气温并不能解释该地区的变异性,即使在荟萃回归中加入其他变量也不行。