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BackgroundAfter a global decline, malaria cases re-increases have been shown recently.The aim of this analysis was to update the epidemiological facies of malaria in Burkina Faso (around 4% of malaria cases worldwide) by estimating weekly malaria incidences at health district levels, from 2013 to 2018, associated to environmental and meteorological factors.MethodsMalaria cases and deaths weekly reports were extracted from the National Malaria Control Program for each health district from 2013 to 2018. Population data were extracted from the reports of the national statistics council. Environmental data were collected through remote sensing.After estimating incidence through time and space, trend was assessed by an additive decomposition of the incidence and malaria seasons of transmission was estimated by change point analysis (PELT algorithm).Incidence maps for each year of the study period were assessed to highlight spatial variability through years. Maps of rainfall, temperature, and vegetation (NDVI) were produced to characterize the health district environmental variability.ResultsIn 2013, 775 cases /100,000 inhab.week were observed in average, and remain roughly constant until 2015. Malaria re-increased from 2016, reaching 2428 cases /100,000 inhab.week in 2018.From 2013 to 2016, two transmission periods were observed: low from January to July (included) and high from August to December (included).From 2017 to 2018, an intermediate transmission period from mid-November to early January intercalated between the low transmission period from mid-February to early June and the high transmission period from July to late DecemberFrom 2013 to 2015, the most affected districts were located in the center and central-eastern part of the country. From 2016 to 2018 all health districts, except those in the Sahel region, were affected with at least 45,000 cases per 100,000 persons/year. This south-to-north gradient was also observed with rainfall, temperature and NDVI.ConclusionMalaria incidences re-increased through years and across the country since 2016. But no modification of the environmental factor variability was observed during the same period, in time or space. The re-increase of malaria in Burkina Faso could be due to a real increase of the disease, or to a better access to diagnostic and cure, together with the development of the epidemiological information system.

The SD Bioline Dengue Duo rapid diagnostic test is the primary means of diagnostic guidance for dengue and in many cases the only one in Burkina Faso. Our objective was to evaluate the performance of this test during the 2017 dengue epidemic. By analysing data from samples during the 2017 dengue epidemic in Burkina Faso for which both rapid test and Real Time Polymerase Chain Reaction and, or Immunoglobulin M capture by Enzyme Linked ImmunoSorbent Assay results were available, the rapid diagnostic test was compared to Real Time Polymerase Chain Reaction and, or Immunoglobulin M detection by Enzyme Linked ImmunoSorbent Assay. The sensitivity and specificity of the tests were calculated and their overall performance was evaluated by the area under the curve. Out of 706 suspected patients, 514 or 72.8% were confirmed by the reference techniques. The positivity rates were 69%, 19% and 26% respectively for NS1 antigen, Immunoglobulin M antibody and Immunoglobulin G antibody. The rapid diagnostic test had a very good sensitivity of 99% for a specificity of 5%. The detection of NS1 antigen by rapid diagnostic test showed the best compromise, with an area under the curve of 0.7. Considering only the results of the NS1 Antigen, the rapid diagnostic test could be a viable solution for the management of dengue epidemics in health centers without a laboratory.

The care of diabetic patients in peripheral medical centers in Burkina Faso faces many difficulties. This work, which is a new experience, aimed to set up an information system for the care of diabetic patients in the context of Burkina Faso. The system thus conceived consists of a web application (MedshakeEHR), used by the doctor and a mobile application (Glucosio) for the patient. The system has advantages such as remote appointment scheduling, appointment reminder, patient information sharing. The device also makes it possible to store data for the production of statistics and for scientific research. This experience has enabled us to meet certain challenges related in particular to the problem of HIS such as organizational constraints, the creation of a unique identifier, the modeling of the main business processes, etc.