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COVID-19 Surveillance in Madagascar and Urban Burkina Faso: Addressing Underreporting of Disease Burden Through Integrative Analysis of Diverse Data Streams

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Abstract Background Coronavirus disease 2019 (COVID-19) caused substantial disease and death worldwide since December 2019, but the burden was lower in Africa than in high-income countries. To address potential underreporting, we modeled severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and disease burden in Burkina Faso and Madagascar. Methods Prospectively enrolled patients who presented with fever at sentinel healthcare facilities were assessed for active SARS-CoV-2 infection. Household members of SARS-CoV-2–infected patients were prospectively followed for confirmed SARS-CoV-2 infection. Archived serum specimens that spanned the pandemic onset in Madagascar to the start of prospective surveillance were tested for anti–SARS-CoV-2 immunoglobulins. Data from these multiple sources contributed to an integrated analysis to calibrate an epidemiologic mass action model. Results COVID-19 accounted for a substantial fraction of healthcare-ascertained febrile illness in both Burkina Faso and Madagascar, with symptom profiles consistent with those previously reported. SARS-CoV-2 vaccination coverage was very low in Burkina Faso and unavailable in Madagascar. The household secondary attack rate was 28% (95% confidence intervals [CI], 22%–35%] in Madagascar and 31% (95% CI: 9%–68%) in Burkina Faso, indicating substantial transmission of the disease within households in both locations. Model simulations estimated that the actual number of SARS-CoV-2 infections was at least nine times higher than the reported number of febrile COVID-19 cases. Conclusions Africa has faced persistent challenges due to underinvestment in vaccination programs and disease surveillance programs. There was substantial underreporting of COVID-19 cases during the pandemic in both countries. Our findings call for improving systems and resources in disease surveillance during epidemic and interepidemic periods in these countries.
Title: COVID-19 Surveillance in Madagascar and Urban Burkina Faso: Addressing Underreporting of Disease Burden Through Integrative Analysis of Diverse Data Streams
Description:
Abstract Background Coronavirus disease 2019 (COVID-19) caused substantial disease and death worldwide since December 2019, but the burden was lower in Africa than in high-income countries.
To address potential underreporting, we modeled severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and disease burden in Burkina Faso and Madagascar.
Methods Prospectively enrolled patients who presented with fever at sentinel healthcare facilities were assessed for active SARS-CoV-2 infection.
Household members of SARS-CoV-2–infected patients were prospectively followed for confirmed SARS-CoV-2 infection.
Archived serum specimens that spanned the pandemic onset in Madagascar to the start of prospective surveillance were tested for anti–SARS-CoV-2 immunoglobulins.
Data from these multiple sources contributed to an integrated analysis to calibrate an epidemiologic mass action model.
Results COVID-19 accounted for a substantial fraction of healthcare-ascertained febrile illness in both Burkina Faso and Madagascar, with symptom profiles consistent with those previously reported.
SARS-CoV-2 vaccination coverage was very low in Burkina Faso and unavailable in Madagascar.
The household secondary attack rate was 28% (95% confidence intervals [CI], 22%–35%] in Madagascar and 31% (95% CI: 9%–68%) in Burkina Faso, indicating substantial transmission of the disease within households in both locations.
Model simulations estimated that the actual number of SARS-CoV-2 infections was at least nine times higher than the reported number of febrile COVID-19 cases.
Conclusions Africa has faced persistent challenges due to underinvestment in vaccination programs and disease surveillance programs.
There was substantial underreporting of COVID-19 cases during the pandemic in both countries.
Our findings call for improving systems and resources in disease surveillance during epidemic and interepidemic periods in these countries.

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