Seasonality of confirmed malaria cases from 2008 to 2017 in Togo: a time series analysis by health district and target group

• Published in: BMC Infectious Diseases 2021, Vol.21 (1)
• Main Authors: Thomas, Anne, Bakai, Tchaa A, Atcha-Oubou, Tinah, Tchadjobo, Tchassama, Bossard, Nadine, Rabilloud, Muriel, Voirin, Nicolas
• Format: Report
• Language: English
• Subjects: Demographic aspects; Environmental aspects; Malaria; Risk factors; Seasonal variations (Diseases); Statistics
• ISSN: 1471-2334; 1471-2334
• DOI: 10.1186/s12879-021-06893-z

Background This study aimed to assess the seasonality of confirmed malaria cases in Togo and to provide new indicators of malaria seasonality to the National Malaria Control Programme (NMCP). Methods Aggregated data of confirmed malaria cases were collected monthly from 2008 to 2017 by the Togo's NMCP and stratified by health district and according to three target groups: children < 5 years old, children [greater than or equai to] 5 years old and adults, and pregnant women. Time series analysis was carried out for each target group and health district. Seasonal decomposition was used to assess the seasonality of confirmed malaria cases. Maximum and minimum seasonal indices, their corresponding months, and the ratio of maximum/minimum seasonal indices reflecting the importance of malaria transmission, were provided by health district and target group. Results From 2008 to 2017, 7,951,757 malaria cases were reported in Togo. Children < 5 years old, children [greater than or equai to] 5 years old and adults, and pregnant women represented 37.1%, 57.7% and 5.2% of the confirmed malaria cases, respectively. The maximum seasonal indices were observed during or shortly after a rainy season and the minimum seasonal indices during the dry season between January and April in particular. In children < 5 years old, the ratio of maximum/minimum seasonal indices was higher in the north, suggesting a higher seasonal malaria transmission, than in the south of Togo. This is also observed in the other two groups but to a lesser extent. Conclusions This study contributes to a better understanding of malaria seasonality in Togo. The indicators of malaria seasonality could allow for more accurate forecasting in malaria interventions and supply planning throughout the year. Keywords: Seasonality, Malaria, Seasonal-trend decomposition, National Malaria Control Programme, Togo