Conference abstract
Evaluation of malaria surveillance system in Ogun State, Nigeria: 2011 - 2015
Pan African Medical Journal - Conference Proceedings. 2018:8(86).09
Apr 2018.
doi: 10.11604/pamj-cp.2018.8.86.668
Archived on: 09 Apr 2018
Contact the corresponding author
Keywords: Evaluation, malaria, surveillance, Ogun State
Opening ceremony
Evaluation of malaria surveillance system in Ogun State, Nigeria: 2011 - 2015
Salimat Bola Sanni1,&, Adebobola Bashorun1, Aboyowa Edukugho2, Saheed Gidado2, Muhammad Balogun1, Patrick Nguku1
1Nigeria Field Epidemiology and Laboratory Training Programme, Abuja, Nigeria, 2African Field Epidemiology Network (AFENET), Nigeria
&Corresponding author
Salimat Bola Sanni, Nigeria Field Epidemiology and Laboratory Training Programme, Asokoro, Abuja, Nigeria
Introduction: an estimated 3.2 billion people worldwide are at risk of having Malaria and sub-Saharan Africa carries the highest burden. Nigeria has 97% of her population at risk of Malaria and accounts for 32% of global Malaria deaths. Ogun State is endemic for Malaria with a prevalence of 62.7%. Effective Malaria Surveillance System is crucial to the control and elimination of Malaria. We evaluated the Malaria Surveillance System in Ogun State to describe its attributes.
Methods: we evaluated the system using the “Centers for Disease Control’s updated Guidelines for Evaluating Public Health Surveillance Systems, 2001”. We did a retrospective review of Malaria specific data in Integrated Disease Surveillance and Response (IDSR) case summary forms from 2011 to 2015. We conducted descriptive analysis of cases using Microsoft Excel. Six key stakeholders were interviewed and a semi-structured questionnaire was administered to the 40 surveillance officers (SOs) in the State.
Results: thirty-seven (93%) of the SOs reported that changes in the data capture tools and case management have been accommodated. Case definitions were understood by 40 (100%) of the SOs. Thirty-five (88%) of the SOs reported that the system was simple. All the Stakeholders interviewed and 38 (95%) of the SOs reported that the system was acceptable. Data was essentially from public health facilities excluding those from tertiary and private health facilities and thus not representative. Thirty-five (88%) SOs reported that data quality was enhanced by quarterly supportive supervision. There was late reporting among 100 (20%) of the 477 health facilities. Only 60% of the health facilities reports were timely which is below the State’s 80% target.
Conclusion: malaria surveillance system in Ogun State is simple, flexible, and acceptable. The data from the system is not representative .We recommended involvement of the tertiary and private health facilities in the State to enhance representativeness and improve data quality.
