Background:Developing and sustaining a data collection and management system(DCMS)is difficult in malariaendemic countries because of limitations in internet bandwidth,computer resources and numbers of trained personn...Background:Developing and sustaining a data collection and management system(DCMS)is difficult in malariaendemic countries because of limitations in internet bandwidth,computer resources and numbers of trained personnel.The premise of this paper is that development of a DCMS in West Africa was a critically important outcome of the West African International Centers of Excellence for Malaria Research.The purposes of this paper are to make that information available to other investigators and to encourage the linkage of DCMSs to international research and Ministry of Health data systems and repositories.Methods:We designed and implemented a DCMS to link study sites in Mali,Senegal and The Gambia.This system was based on case report forms for epidemiologic,entomologic,clinical and laboratory aspects of plasmodial infection and malarial disease for a longitudinal cohort study and included on-site training for Principal Investigators and Data Managers.Based on this experience,we propose guidelines for the design and sustainability of DCMSs in environments with limited resources and personnel.Results:From 2012 to 2017,we performed biannual thick smear surveys for plasmodial infection,mosquito collections for anopheline biting rates and sporozoite rates and year-round passive case detection for malarial disease in four longitudinal cohorts with 7708 individuals and 918 households in Senegal,The Gambia and Mali.Major challenges included the development of uniform definitions and reporting,assessment of data entry error rates,unstable and limited internet access and software and technology maintenance.Strengths included entomologic collections linked to longitudinal cohort studies,on-site data centres and a cloud-based data repository.Conclusions:At a time when research on diseases of poverty in low and middle-income countries is a global priority,the resources available to ensure accurate data collection and the electronic availability of those data remain severely limited.Based on our experience,we suggest the development of a regional DCMS.This approach is more economical than separate data centres and has the potential to improve data quality by encouraging shared case definitions,data validation strategies and analytic approaches including the molecular analysis of treatment successes and failures.展开更多
基金These studies were supported by Cooperative Agreements from the National Institutes of Allergy and Infectious Diseases(NIAID)for the West African International Center of Excellence for Malaria Research(ICEMR):NIAID U19 AI 089696 and U19 AI 129387(from 2010 to 2017 and 2017 to 2024,respectively)Development of Case Report Forms,Standard Operating Procedures and other bilingual documentation in English and French was performed in collaboration with Aliou Sissako,Lansana Sangare,Ayouba Diarra and Ousmane Koita at the University of Bamako,Jules Gomis and Daouda Ndiaye at the University Cheikh Anta Diop in Dakar,Abdullahi Ahmad and Davis Nwakanma at the MRC in The Gambia,Clarissa Valim at the T.H.Chan Harvard School of Public Health,Mary Lukowski at Study TRAX and was supported by a Fulbright Scholar Award to DJK from 2009 to 2011.
文摘Background:Developing and sustaining a data collection and management system(DCMS)is difficult in malariaendemic countries because of limitations in internet bandwidth,computer resources and numbers of trained personnel.The premise of this paper is that development of a DCMS in West Africa was a critically important outcome of the West African International Centers of Excellence for Malaria Research.The purposes of this paper are to make that information available to other investigators and to encourage the linkage of DCMSs to international research and Ministry of Health data systems and repositories.Methods:We designed and implemented a DCMS to link study sites in Mali,Senegal and The Gambia.This system was based on case report forms for epidemiologic,entomologic,clinical and laboratory aspects of plasmodial infection and malarial disease for a longitudinal cohort study and included on-site training for Principal Investigators and Data Managers.Based on this experience,we propose guidelines for the design and sustainability of DCMSs in environments with limited resources and personnel.Results:From 2012 to 2017,we performed biannual thick smear surveys for plasmodial infection,mosquito collections for anopheline biting rates and sporozoite rates and year-round passive case detection for malarial disease in four longitudinal cohorts with 7708 individuals and 918 households in Senegal,The Gambia and Mali.Major challenges included the development of uniform definitions and reporting,assessment of data entry error rates,unstable and limited internet access and software and technology maintenance.Strengths included entomologic collections linked to longitudinal cohort studies,on-site data centres and a cloud-based data repository.Conclusions:At a time when research on diseases of poverty in low and middle-income countries is a global priority,the resources available to ensure accurate data collection and the electronic availability of those data remain severely limited.Based on our experience,we suggest the development of a regional DCMS.This approach is more economical than separate data centres and has the potential to improve data quality by encouraging shared case definitions,data validation strategies and analytic approaches including the molecular analysis of treatment successes and failures.
