Schistosomiasis transmission in Zimbabwe:Modelling based on machine learning

Zimbabwe,located in Southern Africa,faces a significant public health challenge due to schistosomiasis.We investigated this issue with emphasis on risk prediction of schistosomiasis for the entire population.To this end,we reviewed available data on schistosomiasis in Zimbabwe from a literature search covering the 1980-2022 period considering the potential impact of 26 environmental and socioeconomic variables obtained from public sources.We studied the population requiring praziquantel with regard to whether or not mass drug administration(MDA)had been regularly applied.Three machinelearning algorithms were tested for their ability to predict the prevalence of schistosomiasis in Zimbabwe based on the mean absolute error(MAE),the root mean squared error(RMSE)and the coefficient of determination(R2).The findings revealed different roles of the 26 factors with respect to transmission and there were particular variations between Schistosoma haematobium and S.mansoni infections.We found that the top-five correlation factors,such as the past(rather than current)time,unsettled MDA implementation,constrained economy,high rainfall during the warmest season,and high annual precipitation were closely associated with higher S.haematobium prevalence,while lower elevation,high rainfall during the warmest season,steeper slope,past(rather than current)time,and higher minimum temperature in the coldest month were rather related to higher S.mansoni prevalence.The random forest(RF)algorithm was considered as the formal best model construction method,with MAE=0.108;RMSE=0.143;and R^(2)=0.517 for S.haematobium,and with the corresponding figures for S.mansoni being 0.053;0.082;and 0.458.Based on this optimal model,the current total schistosomiasis prevalence in Zimbabwe under MDA implementation was 19.8%,with that of S.haematobium at 13.8% and that of S.mansoni at 7.1%,requiring annual MDA based on a population of 3,003,928.Without MDA,the current total schistosomiasis prevalence would be 23.2%,that of S.haematobium 17.1% and that of S.mansoni prevalence at 7.4%,requiring annual MDA based on a population of 3,521,466.The study reveals that MDA alone is insufficient for schistosomiasis elimination,especially that due to S.mansoni.This study predicts a moderate prevalence of schistosomiasis in Zimbabwe,with its elimination requiring comprehensive control measures beyond the currently used strategies,including health education,snail control,population surveillance and environmental management.

Strengthening capacity-building in malaria and schistosomiasis control under China-Africa cooperation:Assessing a case study of Burkina Faso

Malaria and schistosomiasis are highly prevalent in Burkina Faso,whereas China has successfully eliminated malaria as well as schistosomiasis as a public health problem.To implement the China-Africa health cooperation initiative,a series of activities were launched since 2019 to enhance understanding and cooperation among malaria and schistosomiasis professionals in China and Burkina Faso.This study described the achievements of the First Virtual Symposium of China-Burkina Faso Cooperation on Schistosomiasis and Malaria Control.Pre-and post-test questionnaires were employed to study the knowledge changes of participants regarding malaria and schistosomiasis control and elimination,explore capacity-building priorities,and identify potential challenges.Chi-squared statistics were used to compare the differences between sub-groups,and p value<0.05 was considered statistically significant.Participants ranked their preferences for challenges and capacity-building priorities in future cooperation.The responses of participants from both China and Burkina Faso indicated effective improvement in their general knowledge about the diseases whereas the improvement in professional knowledge on malaria and schistosomiasis was limited.The total correct response rate increased from 54.08%to 66.78%.Chinese participants had better schistosomiasis knowledge than Burkina Faso participants did,but the same result was not found for malaria.Diseases control strategies,surveillance and response system,and diagnostics techniques were identified as the top three priorities for future capacity building.Participants from China and Burkina Faso shared almost the same views about challenges except with respect to pathogens,which the former saw as a major challenge and the latter did not.The study findings will help policymakers,health managers,and researchers to understand the future cooperation between Burkina Faso and China on malaria and schistosomiasis.