This is an observational, model-based study of 1,675 unvaccinated, HIV-uninfected participants in urban Lilongwe and rural Karonga, Malawi, from February 2021 to April 2022. The authors used serological modelling to reconstruct SARS-CoV-2 infection histories and assess antibody dynamics.
The model identified 429 infections (95% credible interval 417-441), including 39 (9.1%) not captured by traditional seroconversion thresholds. Antibody titres waned rapidly: 48% of the acute boost remained after three months (95% credible interval 0.403-0.560), declining to only 5% after one year (95% credible interval 0.027-0.098). Seroincidence was higher in Lilongwe (0.41 infections per person per three months) than in Karonga (0.27 infections per person per three months).
Key limitations noted by the authors include that antibody waning and boosting following reinfection or vaccination remain poorly characterised, and interpretation of serological measurements is complicated. The study is observational, so associations are reported, not causation.
Practice relevance is restrained: rapid waning underscores the importance of vaccination for sustained protection, and cross-reactivity suggests only partial immunity from prior variants. Identifying reinfections is essential for understanding transmission and finding populations at higher repeat infection risk, particularly where routine surveillance is limited.
View Original Abstract ↓
Serological data provide important insights into SARS-CoV-2 transmission and immunity, particularly in regions with limited routine surveillance such as sub-Saharan Africa. However, antibody waning and boosting following reinfection or vaccination remain poorly characterised, complicating interpretation of serological measurements. Improved understanding of these dynamics is critical for accurate epidemiological inference. Modelling longitudinal serological data provides a means to quantify antibody kinetics and reconstruct infection histories. We analysed 15,679 neutralising antibody (nAb) titres from 1,675 unvaccinated, HIV-uninfected participants in urban (Lilongwe) and rural (Karonga) Malawi (February 2021 - April 2022). NAb titres against ancestral B.1, Beta, Delta, and Omicron (BA.1/BA.2) viruses were measured using an HIV-based SARS-CoV-2 pseudotyped virus neutralisation assay. A multi-level Bayesian model was used to reconstruct infection histories and antibody kinetics. The model identified 429 infections (95% credible interval 417-441), including 39 (9.1%) that had not been identified by traditional seroconversion-based thresholds. Antibody levels waned rapidly, with 48% (0.403-0.560) of the acute boost remaining after three months and only 5% (0.027-0.098) after one year. Pre-Omicron infections generated stronger antibody boosts than Omicron infections. Responses varied, with individuals clustering into low and high responders. Cross-reactive responses extended across substantial antigenic distances - Omicron infections induced broader immunity. Seroincidence was higher in Lilongwe than in Karonga (0.41 vs. 0.27 infections per person per three months), driven by the early 2022 Omicron wave. Reinfections were common, particularly among adults and urban residents. SARS-CoV-2 nAb responses following infection were heterogeneous and declined rapidly. This rapid waning underscores the importance of vaccination for sustained protection, while cross-reactivity suggests only partial immunity from prior variants. Identifying reinfections is essential for understanding transmission and finding populations at higher repeat infection risk, particularly where routine surveillance is limited.