Natural resource exploitation in Western Sahara: new research directions

The authors wish to thank the Leverhulme Trust (through their Early Career scheme) and the Spanish Ministry of Economy, Industry and Competitivity, (CSO2017-86986-P, AEI/FEDER, UE) for funding this research. We would also like to thank Patricia Lalonde for her translations and editorial work, as well as all participants of the 'Analysis of the Management and Exploitation of Natural Resources in Situations of Conflict: The Case of Western Sahara' project (funded by the aforementioned ministry), for their constructive comments on earlier iterations of this paper.This review article provides an overview of research to date with an explicit focus on natural resource exploitation in Western Sahara. It integrates findings from various perspectives and disciplines, and synthesises the research done with a view to revealing gaps and, therefore, potential new research directions. As the issue of natural resource exploitation in Western Sahara has been conceptualised in very different ways and from the perspectives of a variety of disciplines, the authors have opted for a semi-systematic review of the work done encompassing academic, non-academic, and activist backgrounds.Leverhulme TrustSpanish Ministry of Economy, Industry and Competitivity (AEI/FEDER, UE) CSO2017-86986-

Assessment of two complementary influenza surveillance systems : Sentinel primary care influenza-like illness versus severe hospitalized laboratory-confirmed influenza using the moving epidemic method

Monitoring seasonal influenza epidemics is the corner stone to epidemiological surveillance of acute respiratory virus infections worldwide. This work aims to compare two sentinel surveillance systems within the Daily Acute Respiratory Infection Information System of Catalonia (PIDIRAC), the primary care ILI and Influenza confirmed samples from primary care (PIDIRAC-ILI and PIDIRAC-FLU) and the severe hospitalized laboratory confirmed influenza system (SHLCI), in regard to how they behave in the forecasting of epidemic onset and severity allowing for healthcare preparedness. Epidemiological study carried out during seven influenza seasons (2010-2017) in Catalonia, with data from influenza sentinel surveillance of primary care physicians reporting ILI along with laboratory confirmation of influenza from systematic sampling of ILI cases and 12 hospitals that provided data on severe hospitalized cases with laboratory-confirmed influenza (SHLCI-FLU). Epidemic thresholds for ILI and SHLCI-FLU (overall) as well as influenza A (SHLCI-FLUA) and influenza B (SHLCI-FLUB) incidence rates were assessed by the Moving Epidemics Method. Epidemic thresholds for primary care sentinel surveillance influenza-like illness (PIDIRAC-ILI) incidence rates ranged from 83.65 to 503.92 per 100.000 h. Paired incidence rate curves for SHLCI-FLU/PIDIRAC-ILI and SHLCI-FLUA/PIDIRAC-FLUA showed best correlation index' (0.805 and 0.724 respectively). Assessing delay in reaching epidemic level, PIDIRAC-ILI source forecasts an average of 1.6 weeks before the rest of sources paired. Differences are higher when SHLCI cases are paired to PIDIRAC-ILI and PIDIRAC-FLUB although statistical significance was observed only for SHLCI-FLU/PIDIRAC-ILI (p-value Wilcoxon test = 0.039). The combined ILI and confirmed influenza from primary care along with the severe hospitalized laboratory confirmed influenza data from PIDIRAC sentinel surveillance system provides timely and accurate syndromic and virological surveillance of influenza from the community level to hospitalization of severe cases