Analysis of the effects of AIDS-induced morbidity and mortality on rural livelihoods, particularly in east and southern Africa, has gathered pace in the last two decades. An understanding of the interaction between ill health and rural livelihoods is essential both at policy and theoretical levels. However, the tendency to analyse many of the effects of the AIDS epidemic under the rubric of coping strategies needs critical appraisal. In this article the question is posed as a basis for exploring whether the concept of 'coping strategies' is capable of explaining reality on the ground or has merely become a convenient escape route for academics and policy-makers. It is argued that in areas hard hit by AIDS, the concept of coping strategies is of limited value in explaining household experience and may divert policymakers from the enormity of the emergency.

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Dromedary camels have been implicated consistently as the source of Middle East respiratory syndrome coronavirus (MERS-CoV) human infections and attention to prevent and control it has focused on camels. To understanding the epidemiological role of camels in the transmission of MERS-CoV, we utilized an iterative empirical process in Geographic Information System (GIS) to identify and qualify potential hotspots for maintenance and circulation of MERS-CoV, and produced risk-based surveillance sites in Kenya. Data on camel population and distribution were used to develop camel density map, while camel farming system was defined using multi-factorial criteria including the agro-ecological zones (AEZs), production and marketing practices. Primary and secondary MERS-CoV seroprevalence data from specific sites were analyzed, and location-based prevalence matching with camel densities was conducted. High-risk convergence points (migration zones, trade routes, camel markets, slaughter slabs) were profiled and frequent cross-border camel movement mapped. Results showed that high cameldense areas and interaction (markets and migration zones) were potential hotspot for transmission and spread.Cross-border contacts occurred with in-migrated herds at hotspot locations. AEZ differential did not influence risk distribution and plausible risk factors for spatial MERS-CoV hotspots were camel densities, previous cases of MERS-CoV, high seroprevalence and points of camel convergences. Although Kenyan camels are predisposed to MERS-CoV, no shedding is documented to date. These potential hotspots, determined using anthropogenic, system and trade characterizations should guide selection of sampling/surveillance sites, high-risk locations, critical areas for interventions and policy development in Kenya, as well as instigate further virological examination of camels.Electronic supplementary material: The online version of this article (https://doi.

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