Towards a coordinated strategy for intercepting human disease emergence in Africa
Towards a coordinated strategy for intercepting human disease emergence in Africa
复制标题
制定拦截非洲人类疾病出现的协调战略
DOI:
10.1016/s2666-5247(20)30220-2
复制
发表时间:
2021
期刊:
影响因子:
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通讯作者:
Mwaengo, Dufton M
中科院分区:
文献类型:
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作者:
Forbes, Kristian M;Anzala, Omu;Carlson, Colin J;Kelvin, Alyson A;Kuppalli, Krutika;Leroy, Eric M;Maganga, Gael D;Masika, Moses M;Mombo, Illich M;Mwaengo, Dufton M
Emerging zoonotic viruses are one of the greatest threats to human health and security, as evidenced by the increasing frequency of disease outbreaks. 1 To date, the main pre-emptive response to these outbreaks has been extensive, cost-heavy efforts to document virus diversity in wildlife (eg, PREDICT and the Global Virome Projects). 2, 3 Although these efforts have resulted in the identification of thousands of novel viruses, fewer than 1% are described to date, substantial challenges remain around access and benefit sharing from viral discovery programmes, and—perhaps most problematic for public health application—the spillover hazard of these viruses can only be coarsely inferred at present. 4–6 Our ability to control and restrict the spread of infectious diseases is critically dependent on early detection. This vigilance should include viruses that might not pose immediate or widespread public health threats, but where repeated spillover or persistent, unchecked transmission chains in humans provides latitude for the evolution of increased pathogenicity, host immune evasion mechanisms, and efficient human-to-human transmission. 7 Building on existing research, here we emphasise the importance of a coordinated and targeted strategy for early detection of virus spillover and emergence in humans. This model is based on inter-related study or evidence types and is a collaborative framework geared towards African and other low-income and middle-income countries where risk of disease emergence is often great, infectious disease-related morbidity and mortality are overrepresented compared with in high-income regions, undescribed virus diversity is high, and resources are constrained.For this strategy we highlight four complementary study or evidence types indicative of past or current unknown infection: procurement and screening of diagnostic samples from undiagnosed patients, analysis of samples from suspicious fatalities of unknown cause, serosurveys of high-risk or sentinel groups, and analysis of archived samples (appendix p 1). Approaches might overlap (eg, death and post-mortem analysis of undiagnosed patients) but are independently capable of detecting separate evidence for pathogen