What questions we should be asking about COVID-19 in humanitarian settings: perspectives from the Social Sciences Analysis Cell in the Democratic Republic of the Congo.
What questions we should be asking about COVID-19 in humanitarian settings: perspectives from the Social Sciences Analysis Cell in the Democratic Republic of the Congo.
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在人道主义环境下，我们应该对新冠肺炎提出哪些问题：刚果民主共和国社会科学分析小组的观点。
DOI：
10.1136/bmjgh-2020-003607
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发表时间：
2020-09
影响因子：
8.1
通讯作者：
Ahuka-Mundeke S
中科院分区：
文献类型：
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作者：
Carter SE;Gobat N;Pfaffmann Zambruni J;Bedford J;van Kleef E;Jombart T;Mossoko M;Bulemfu Nkakirande D;Navarro Colorado C;Ahuka-Mundeke S
COVID-19只是刚果民主共和国人民面临的众多公共卫生危机之一。2020年6月25日，刚果民主共和国政府宣布该国有记录以来最大的埃博拉疫情结束，这是全球第二大埃博拉疫情，距离2020年6月1日在赤道省姆班达卡开始的新疫情（第11次）仅数周。1 2019年，麻疹夺去了6000多人的生命，其中包括4500名5岁以下儿童，疟疾造成17000人死亡，霍乱疫情影响了26个省中的20个，造成31000例病例。2这些流行病发生在生活极度贫困、受冲突和经常性人口流离失所影响的社区。3刚果民主共和国的情况并不独特。在世界许多地区，政府、人道主义应急人员和社区面临多重挑战，应对突发公共卫生事件必须争夺人力、财力和卫生服务资源。公共卫生结构薄弱、卫生系统资源匮乏以及一些地区长期不安全和冲突，阻碍了对这些危机的人道主义反应。在这些复杂的社会、政治和经济现实下应对流行病，需要综合和多学科的数据和证据来源，为应对战略提供信息。4近年来，在疫情应对中使用社会和行为科学证据的情况有所增加，自2014-2016年西非埃博拉疫情以来，这种情况尤其引人注目。5流行病应对的社会科学分析已经发展到为疫情预防和控制提供所需的关键证据，当作为多学科综合方案的一部分时，这种分析最具影响力。疫情分析是一门数据科学，它包括流行病学分析和建模中的多种方法，为疫情应对提供信息。6我们建议
INTRODUCTION COVID-19 is but one of many public health crises facing the people of the Democratic Republic of the Congo (DRC). On 25 June 2020, the DRC government announced the end of the country’s largest Ebola outbreak on record and the second largest Ebola outbreak worldwide, a mere few weeks after a new outbreak (11th) started on 1 June 2020, in Mbandaka, Equateur Province. 1 In 2019, measles claimed the lives of over 6000 people including 4500 children under the age of 5, malaria killed 17 000 individuals, and cholera outbreaks affected 20 of 26 provinces, resulting in 31 000 cases. 2 These epidemics arise among communities living in overwhelming poverty, affected by conflict and regular population displacement. 3 The DRC is not a unique situation. Across many parts of the world, governments, humanitarian responders and communities confront multiple challenges where the response to public health emergencies must compete for human, financial and health service resources. Humanitarian responses to these crises are hampered by weak public health structures, poorly resourced health systems, and in some regions protracted insecurity and conflict. Tackling epidemics under these complex social, political and economic realities requires integrated and multidisciplinary sources of data and evidence to inform response strategies. 4 The use of social and behavioural sciences evidence in outbreak response has increased over the recent years, gaining particular traction since the 2014–2016 Ebola epidemic in West Africa. 5 Social science analyses for epidemic response have evolved to provide critical evidence needed for outbreak prevention and control and are most impactful when included as part of a multidisciplinary, integrated package. Outbreak analytics is a data science which encompasses multiple methods in epidemiological analysis and modelling to inform outbreak response. 6 We propose
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影响因子：
34.3
作者：
Delamou, Alexandre;El Ayadi, Alison M.;De Brouwere, Vincent
通讯作者：
De Brouwere, Vincent
影响因子：
2
作者：
Harman, Sophie
通讯作者：
Harman, Sophie
影响因子：
3
作者：
BECKER, MH;MAIMAN, LA
通讯作者：
MAIMAN, LA
影响因子：
4.5
作者：
Hulland, Kristyna R. S.;Leontsini, Elli;Winch, Peter J.
通讯作者：
Winch, Peter J.
DOI：
10.1080/13623699.2016.1185683
发表时间：
2016-01-01
期刊：
Medicine, conflict, and survival
影响因子：
--
作者：
Anderson, Jill N;Nevin, Remington L
通讯作者：
Nevin, Remington L