Camara Mariame, Ouattara Eric, Duvignaud Alexandre, Migliani René, Camara Oumou, Leno Mamadou, Solano Philippe, Bucheton Bruno, Camara Mamadou, Malvy Denis
Programme National de Lutte contre la Trypanosomiase Humaine Africaine PNLTHA-Ministère de la Santé, Conakry, République de Guinée.
Univ. Bordeaux, Inserm, Infectious Diseases in Resource Limited Countries, U1219, ISPED, Bordeaux, France.
PLoS Negl Trop Dis. 2017 Nov 13;11(11):e0006060. doi: 10.1371/journal.pntd.0006060. eCollection 2017 Nov.
The 2014-2015 Ebola outbreak massively hit Guinea. The coastal districts of Boffa, Dubreka and Forecariah, three major foci of Human African Trypanosomiasis (HAT), were particularly affected. We aimed to assess the impact of this epidemic on sleeping sickness screening and caring activities.
METHODOLOGY/PRINCIPAL FINDINGS: We used preexisting data from the Guinean sleeping sickness control program, collected between 2012 and 2015. We described monthly: the number of persons (i) screened actively; (ii) or passively; (iii) treated for HAT; (iv) attending post-treatment follow-up visits. We compared clinical data, treatment characteristics and Disability Adjusted Life-Years (DALYs) before (February 2012 to December 2013) and during (January 2014 to October 2015) the Ebola outbreak period according to available data. Whereas 32,221 persons were actively screened from February 2012 to December 2013, before the official declaration of the first Ebola case in Guinea, no active screening campaigns could be performed during the Ebola outbreak. Following the reinforcement and extension of HAT passive surveillance system early in 2014, the number of persons tested passively by month increased from 7 to 286 between April and September 2014 and then abruptly decreased to 180 until January 2015 and to none after March 2015. 213 patients initiated HAT treatment, 154 (72%) before Ebola and 59 (28%) during the Ebola outbreak. Those initiating HAT therapy during Ebola outbreak were recruited through passive screening and diagnosed at a later stage 2 of the disease (96% vs. 55% before Ebola, p<0.0001). The proportion of patients attending the 3 months and 6 months post-treatment follow-up visits decreased from 44% to 10% (p <0.0001) and from 16% to 3% (p = 0.017) respectively. The DALYs generated before the Ebola outbreak were estimated to 48.7 (46.7-51.5) and increased up to 168.7 (162.7-174.7), 284.9 (277.1-292.8) and 466.3 (455.7-477.0) during Ebola assuming case fatality rates of 2%, 5% and 10% respectively among under-reported HAT cases.
CONCLUSIONS/SIGNIFICANCE: The 2014-2015 Ebola outbreak deeply impacted HAT screening activities in Guinea. Active screening campaigns were stopped. Passive screening dramatically decreased during the Ebola period, but trends could not be compared with pre-Ebola period (data not available). Few patients were diagnosed with more advanced HAT during the Ebola period and retention rates in follow-up were lowered. The drop in newly diagnosed HAT cases during Ebola epidemic is unlikely due to a fall in HAT incidence. Even if we were unable to demonstrate it directly, it is much more probably the consequence of hampered screening activities and of the fear of the population on subsequent confirmation and linkage to care. Reinforced program monitoring, alternative control strategies and sustainable financial and human resources allocation are mandatory during post Ebola period to reduce HAT burden in Guinea.
2014 - 2015年埃博拉疫情重创几内亚。人类非洲锥虫病(昏睡病)的三个主要疫源地——博法、杜布雷卡和福雷卡里亚的沿海地区受到的影响尤为严重。我们旨在评估此次疫情对昏睡病筛查和护理活动的影响。
方法/主要发现:我们使用了几内亚昏睡病控制项目在2012年至2015年期间收集的已有数据。我们逐月描述:(i)主动筛查的人数;(ii)被动筛查的人数;(iii)接受昏睡病治疗的人数;(iv)接受治疗后随访的人数。根据现有数据,我们比较了埃博拉疫情爆发前(2012年2月至2013年12月)和期间(2014年1月至2015年10月)的临床数据、治疗特征和伤残调整生命年(DALYs)。在几内亚正式宣布首例埃博拉病例之前,2012年2月至2013年12月期间有32221人接受了主动筛查,而在埃博拉疫情期间无法开展主动筛查活动。2014年初加强并扩大了昏睡病被动监测系统后,2014年4月至9月期间每月被动检测的人数从7人增加到286人,然后在2015年1月之前突然降至180人,2015年3月之后降至零。213名患者开始接受昏睡病治疗,其中154人(72%)在埃博拉疫情之前,59人(28%)在埃博拉疫情期间。在埃博拉疫情期间开始接受昏睡病治疗的患者是通过被动筛查招募的,并且在疾病的晚期2被诊断出来(96%对埃博拉疫情之前的55%,p<0.0001)。接受治疗后3个月3个月和6个月随访的患者比例分别从44%降至10%(p<0.0001)和从16%降至3%(p = 0.017)。埃博拉疫情爆发前产生的伤残调整生命年估计为48.7(46.7 - 51.5),假设未报告的昏睡病病例中的病死率分别为2%、5%和10%,在埃博拉疫情期间分别增至168.7(162.7 - 174.7)、284.9(277.1 - 292.8)和466.3(455.7 - 477.0)。
结论/意义:2014 - 2015年埃博拉疫情对几内亚的昏睡病筛查活动产生了深远影响。主动筛查活动停止。在埃博拉疫情期间被动筛查大幅下降,但趋势无法与埃博拉疫情之前的时期进行比较(数据不可用)。在埃博拉疫情期间很少有患者被诊断为更晚期的昏睡病,并且随访中的留存率降低。埃博拉疫情期间新诊断的昏睡病病例减少不太可能是由于昏睡病发病率下降。即使我们无法直接证明这一点,但更有可能是筛查活动受阻以及民众对后续确诊和获得护理的恐惧所致。在埃博拉疫情之后的时期,必须加强项目监测、采用替代控制策略以及进行可持续的财政和人力资源分配,以减轻几内亚的昏睡病负担。