Abid Muhammad Abbas, Farooqi Joveria, Ghanchi Najia, Owais Rabiya, Sadiqa Ayesha, Shafaq Humaira, Khan Erum
Department of Pathology & Laboratory Medicine, Aga Khan University, Karachi, Pakistan.
PLoS One. 2025 May 12;20(5):e0320495. doi: 10.1371/journal.pone.0320495. eCollection 2025.
Pakistan is at high-risk for Crimean-Congo Hemorrhagic Fever (CCHF) outbreaks due to its geographic location and disease burden in bordering countries. We aimed to study the spatio-temporal distribution of human CCHF cases in Pakistan and to observe its correlation with temperature, precipitation and seasonal variation. Retrospective data of test requests generated for CCHF at country-wide patient sample collection points (n = 307) across Pakistan from 2012 to 2023 was extracted for analysis. Average monthly temperature and precipitation data was used in the Poisson regression method to examine the effect on the number of cases. A total of 2,559 patients were clinically suspected of CCHF in 39 cities with 547 confirmed positive for CCHF in 10 cities using real-time PCR assay, with a positivity rate of 21.37% and a male predominance (84.6%). Most of the confirmed cases (57.6%, n = 315) were detected between 2016 and 2019 while 97.4% (n = 533) detected in 3 cities. Highest number of cases were reported during summer (p < 0.001) with 41.13% of confirmed cases reported in the months of August and September. A positive correlation of suspected cases with temperature was observed in Karachi and Quetta with a lag of zero months (p = 0.000), and a negative correlation was observed with precipitation for Karachi and Peshawar with a lag of 2 months (p = 0.000). Case fatality rate for CCHF patients admitted at Aga Khan University Hospital was 45.8%. CCHF is on the rise in Pakistan. Positive cases are concentrated within 3 cities where human and animal migration rates are high. Outbreak situations occur when multiple factors coincide. Seasonal and climatic patterns can be used as predictors of disease by policymakers for strict implementation on animal regulation, transport, and surveillance of animal migration to curtail outbreak situations in Pakistan.
由于地理位置以及周边国家的疾病负担,巴基斯坦面临克里米亚-刚果出血热(CCHF)爆发的高风险。我们旨在研究巴基斯坦人类CCHF病例的时空分布,并观察其与温度、降水和季节变化的相关性。提取了2012年至2023年期间巴基斯坦全国患者样本采集点(n = 307)为CCHF生成的检测请求的回顾性数据进行分析。使用平均月温度和降水数据,采用泊松回归方法来检验对病例数的影响。共有2559名患者在39个城市临床上疑似感染CCHF,其中10个城市使用实时PCR检测法确诊547例阳性,阳性率为21.37%,男性占主导(84.6%)。大多数确诊病例(57.6%,n = 315)在2016年至2019年期间被检测到,而97.4%(n = 533)在3个城市被检测到。夏季报告的病例数最多(p < 0.001),8月和9月报告的确诊病例占41.13%。在卡拉奇和奎达观察到疑似病例与温度呈正相关,滞后零个月(p = 0.000),在卡拉奇和白沙瓦观察到与降水呈负相关,滞后2个月(p = 0.000)。在阿迦汗大学医院收治的CCHF患者的病死率为45.8%。CCHF在巴基斯坦呈上升趋势。阳性病例集中在3个人口和动物迁移率高的城市。当多种因素同时出现时就会发生疫情。政策制定者可以将季节和气候模式用作疾病预测指标,以严格实施动物监管、运输以及动物迁移监测,从而减少巴基斯坦的疫情发生情况。