Sauvageot Delphine, Njanpop-Lafourcade Berthe-Marie, Akilimali Laurent, Anne Jean-Claude, Bidjada Pawou, Bompangue Didier, Bwire Godfrey, Coulibaly Daouda, Dengo-Baloi Liliana, Dosso Mireille, Orach Christopher Garimoi, Inguane Dorteia, Kagirita Atek, Kacou-N'Douba Adele, Keita Sakoba, Kere Banla Abiba, Kouame Yao Jean-Pierre, Landoh Dadja Essoya, Langa Jose Paulo, Makumbi Issa, Miwanda Berthe, Malimbo Muggaga, Mutombo Guy, Mutombo Annie, NGuetta Emilienne Niamke, Saliou Mamadou, Sarr Veronique, Senga Raphael Kakongo, Sory Fode, Sema Cynthia, Tante Ouyi Valentin, Gessner Bradford D, Mengel Martin A
Agence de Medecine Preventive, Paris, France.
Ministère de la santé, Kinshasa, Republique Democratique du Congo.
PLoS Negl Trop Dis. 2016 May 17;10(5):e0004679. doi: 10.1371/journal.pntd.0004679. eCollection 2016 May.
Cholera burden in Africa remains unknown, often because of weak national surveillance systems. We analyzed data from the African Cholera Surveillance Network (www.africhol.org).
METHODS/ PRINCIPAL FINDINGS: During June 2011-December 2013, we conducted enhanced surveillance in seven zones and four outbreak sites in Togo, the Democratic Republic of Congo (DRC), Guinea, Uganda, Mozambique and Cote d'Ivoire. All health facilities treating cholera cases were included. Cholera incidences were calculated using culture-confirmed cholera cases and culture-confirmed cholera cases corrected for lack of culture testing usually due to overwhelmed health systems and imperfect test sensitivity. Of 13,377 reported suspected cases, 34% occurred in Conakry, Guinea, 47% in Goma, DRC, and 19% in the remaining sites. From 0-40% of suspected cases were aged under five years and from 0.3-86% had rice water stools. Within surveillance zones, 0-37% of suspected cases had confirmed cholera compared to 27-38% during outbreaks. Annual confirmed incidence per 10,000 population was <0.5 in surveillance zones, except Goma where it was 4.6. Goma and Conakry had corrected incidences of 20.2 and 5.8 respectively, while the other zones a median of 0.3. During outbreaks, corrected incidence varied from 2.6 to 13.0. Case fatality ratios ranged from 0-10% (median, 1%) by country.
CONCLUSIONS/SIGNIFICANCE: Across different African epidemiological contexts, substantial variation occurred in cholera incidence, age distribution, clinical presentation, culture confirmation, and testing frequency. These results can help guide preventive activities, including vaccine use.
非洲霍乱负担情况仍不明晰,这往往是由于国家监测系统薄弱所致。我们分析了来自非洲霍乱监测网络(www.africhol.org)的数据。
方法/主要发现:在2011年6月至2013年12月期间,我们在多哥、刚果民主共和国(DRC)、几内亚、乌干达、莫桑比克和科特迪瓦的七个区域以及四个疫情爆发点开展了强化监测。所有诊治霍乱病例的医疗机构均被纳入。霍乱发病率通过培养确诊的霍乱病例以及因卫生系统不堪重负和检测灵敏度欠佳而通常未进行培养检测情况下校正后的培养确诊霍乱病例来计算。在报告的13377例疑似病例中,34%发生在几内亚的科纳克里,47%在刚果民主共和国的戈马,其余地点占19%。0至40%的疑似病例年龄在五岁以下,0.3至86%有米泔水样大便。在监测区域内,0至37%的疑似病例霍乱确诊,而在疫情爆发期间这一比例为27%至38%。每10000人口的年度确诊发病率在监测区域内低于0.5,但戈马为4.6。戈马和科纳克里的校正发病率分别为20.2和5.8,而其他区域中位数为0.3。在疫情爆发期间,校正发病率在2.6至13.0之间。各国的病死率在0至10%之间(中位数为1%)。
结论/意义:在不同的非洲流行病学背景下,霍乱发病率、年龄分布、临床表现、培养确诊及检测频率存在显著差异。这些结果有助于指导预防活动,包括疫苗的使用。