Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz, Ministério da Saúde, Rio de Janeiro, Brazil.
Instituto de Pesquisas Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Salvador, Brazil.
PLoS Negl Trop Dis. 2022 Apr 11;16(4):e0007507. doi: 10.1371/journal.pntd.0007507. eCollection 2022 Apr.
Leptospirosis is an important public health problem affecting vulnerable urban slum populations in developing country settings. However, the complex interaction of meteorological factors driving the temporal trends of leptospirosis remain incompletely understood.
From March 1996-March 2010, we investigated the association between the weekly incidence of leptospirosis and meteorological anomalies in the city of Salvador, Brazil by using a dynamic generalized linear model that accounted for time lags, overall trend, and seasonal variation. Our model showed an increase of leptospirosis cases associated with higher than expected rainfall, lower than expected temperature and higher than expected humidity. There was a lag of one-to-two weeks between weekly values for significant meteorological variables and leptospirosis incidence. Independent of the season, a weekly cumulative rainfall anomaly of 20 mm increased the risk of leptospirosis by 12% compared to a week following the expected seasonal pattern. Finally, over the 14-year study period, the annual incidence of leptospirosis decreased significantly by a factor of 2.7 (8.3 versus 3.0 per 100,000 people), independently of variations in climate.
Strategies to control leptospirosis should focus on avoiding contact with contaminated sources of Leptospira as well as on increasing awareness in the population and health professionals within the short time window after low-level or extreme high-level rainfall events. Increased leptospirosis incidence was restricted to one-to-two weeks after those events suggesting that infectious Leptospira survival may be limited to short time intervals.
钩端螺旋体病是一个重要的公共卫生问题,影响发展中国家弱势城市贫民窟人群。然而,驱动钩端螺旋体病时间趋势的气象因素的复杂相互作用仍不完全清楚。
1996 年 3 月至 2010 年 3 月,我们通过使用动态广义线性模型调查了巴西萨尔瓦多市钩端螺旋体病与气象异常之间的关联,该模型考虑了时间滞后、总体趋势和季节性变化。我们的模型显示,钩端螺旋体病病例的增加与高于预期的降雨量、低于预期的温度和高于预期的湿度有关。在每周的气象变量和钩端螺旋体病发病率之间存在一到两周的滞后。独立于季节,每周累计降雨量异常 20 毫米会使钩端螺旋体病的风险增加 12%,而不是预期的季节性模式。最后,在 14 年的研究期间,钩端螺旋体病的年发病率显著下降了 2.7 倍(8.3 比 3.0 每 10 万人),独立于气候的变化。
控制钩端螺旋体病的策略应侧重于避免接触受污染的钩端螺旋体来源,以及在低水平或极端高水平降雨事件后短时间内提高人群和卫生专业人员的认识。钩端螺旋体病发病率的增加仅限于这些事件发生后的一到两周,这表明感染性钩端螺旋体的存活可能仅限于短时间间隔。