Table 1.
Surveillance system | Surveillance Indicators | Data transmission to CIRE OI | Statistical analyses |
---|---|---|---|
Epidemiological surveillance in the CHM referral centers (CRs) | • Weekly percentage of consultations for acute diarrhoea and gastroenteritis (number of consultations for theses pathologies compared to total number of weekly consultations) • Weekly percentage of consultations for skin diseases (number of consultations for skin diseases compared to total number of weekly consultations) |
Data sent every day or every week by each doctor by phone, fax, scan, courier or a pickup directly on site by CIRE OI team | Kahani and Mramadoudou CR’s data (center/south area) compared to Dzoumogne CR’s data (north area) |
Mayotte network of sentinel doctors | • Weekly percentage of consultations for acute diarrhoea (number of consultations for acute diarrhoea compared to total number of weekly consultations) | Data sent weekly via a form online, accessible with username and password by each doctor | - Kahani and Mramadoudou doctor’s data (center/south area) compared to nine other doctors’ data located in the non-impacted area, during water crisis - Comparison of central/south doctors’ data during crisis and in a normal year |
Mayotte network of sentinel pharmacists | • Weekly percentage of antidiarrhoeal drugs: Smecta®, Tiorfan® and rehydration solutions (number of sales for these drugs compared to weekly total number of patients) | Data sent weekly by email in an Excel database, by each pharmacist | - Bandrele and Dembeni pharmacists’ data (center/south area) compared to four other pharmacist’s data located in the non-impacted area, during water crisis - Comparison of central/south pharmacists’ data during crisis and in a normal year |
Epidemiological surveillance with the CHM’s laboratory | • Number of leptospirosis cases confirmed at the CHM’s laboratory | For each new confirmed case, data sent by email by the CHM’s laboratory to ARSOI and CIRE OI | Descriptive analysis according to the residence village of the patient, impacted or not by water restrictions and comparison with data since 2014. |