Tarnas Maia C, Almhawish Naser, Ratnayake Ruwan, Elferruh Yasir, Aladhan Ibrahim, Alhaffar Mhd Bahaa Aldin, Abbara Aula
Department of Population Health and Disease Prevention, University of California, Irvine, USA.
Syria Public Health Network, London, UK.
BMC Public Health. 2025 Aug 4;25(1):2642. doi: 10.1186/s12889-025-23918-3.
Northern Syria is particularly vulnerable to the joint effects of climate change and conflict. This has contributed to numerous infectious disease outbreaks which disproportionately affect people who have been forcibly displaced. We aimed to assess the associations between environmental factors, conflict, displacement, and two types of epidemic-prone diseases in northern Syria: suspected respiratory infections and diarrheal diseases.
We used data from the Early Warning Alert and Response Network (EWARN) syndromic surveillance system between 2016 and 2023 on two suspected respiratory infections and five suspected diarrheal diseases. These cases were aggregated by disease type at the district-week level. For each disease type, we used a generalized additive model with a negative binomial probability distribution that accounted for several environmental variables (including precipitation, surface water, temperature, humidity, and vegetation), displacement, conflict events, total consultations, prior disease cases, seasonality, and spatial factors. Seasonal-trend decomposition with locally estimated scatterplot smoothing was also used to detect trends amidst seasonal fluctuations.
Over 21 districts in 5 governorates, 8,774,734 suspected respiratory infections and 6,903,396 suspected diarrheal disease cases were reported. Proportionate morbidity for both disease types began increasing in late 2018 and early 2019 with fluctuations; this varied by governorate. Scaled mean temperature (SD: 11.59°C) was associated with decreased risk of respiratory infections (IRR: 0.92; 0.87-0.98) but increased risk of suspected diarrheal disease (1.06; 1.03-1.09) in the same week and up to 8 weeks and 4 weeks later, respectively. Precipitation exhibited similar contrasting risk patterns. Surface water and vegetation levels also corresponded to changes in disease transmission risk. The interaction between high levels of displacement and conflict was associated with increased risk for both, though suspected diarrheal diseases had a lower threshold for increased risk.
Conflict, environmental factors, forced displacement, and infectious diseases are inextricably linked in northern Syria. These findings can inform public health preparedness and anticipatory activities and policies that address the effects of climate change on infectious diseases. This is especially relevant as Syria enters a new geopolitical chapter following the fall of the Assad regime, with changing health needs, population movement, and new opportunities for health system recovery.
叙利亚北部特别容易受到气候变化和冲突的共同影响。这导致了众多传染病疫情的爆发,这些疫情对被迫流离失所的人群造成了不成比例的影响。我们旨在评估叙利亚北部环境因素、冲突、流离失所与两类易流行疾病之间的关联:疑似呼吸道感染和腹泻病。
我们使用了2016年至2023年期间早期预警警报与响应网络(EWARN)症状监测系统的数据,涉及两种疑似呼吸道感染和五种疑似腹泻病。这些病例按疾病类型在地区-周层面进行汇总。对于每种疾病类型,我们使用了具有负二项式概率分布的广义相加模型,该模型考虑了多个环境变量(包括降水、地表水、温度、湿度和植被)、流离失所情况、冲突事件、总咨询量、既往病例数数、季节性和空间因素。还使用局部估计散点图平滑的季节性趋势分解来检测季节性波动中的趋势。
在5个省份的21个以上地区,共报告了8774734例疑似呼吸道感染病例和6903396例疑似腹泻病病例。两种疾病类型的发病率在2018年末和2019年初开始上升,并伴有波动;不同省份情况有所不同。在同一周以及分别在8周和4周后,平均气温(标准差:11.59°C)与呼吸道感染风险降低相关(发病率比:0.92;0.87 - 0.98),但与疑似腹泻病风险增加相关(1.06;1.03 - 1.09)。降水呈现出类似的相反风险模式。地表水和植被水平也与疾病传播风险的变化相对应。高水平的流离失所与冲突之间的相互作用与两种疾病的风险增加相关,尽管疑似腹泻病风险增加的阈值较低。
在叙利亚北部,冲突、环境因素、被迫流离失所和传染病紧密相连。这些发现可为应对气候变化对传染病影响的公共卫生防备、前瞻性活动和政策提供参考。随着阿萨德政权倒台后叙利亚进入新的地缘政治阶段,健康需求不断变化、人口流动以及卫生系统恢复面临新机遇,这一点尤为重要。