Measuring changes in Plasmodium falciparum census population size in response to sequential malaria control interventions
Here, we introduce a new endpoint ‘census population size’ to evaluate the epidemiology and control of Plasmodium falciparum infections, where the parasite, rather than the infected human host, is the unit of measurement. To calculate census population size, we rely on a definition of parasite variation known as multiplicity of infection (MOI var ), based on the hyper-diversity of the var multigene family. We present a Bayesian approach to estimate MOI var from sequencing and counting the number of unique DBLα tags (or DBLα types) of var genes, and derive from it census population size by summation of MOI var in the human population. We track changes in this parasite population size and structure through sequential malaria interventions by indoor residual spraying (IRS) and seasonal malaria chemoprevention (SMC) from 2012 to 2017 in an area of high, seasonal malaria transmission in northern Ghana. Following IRS, which reduced transmission intensity by >90% and decreased parasite prevalence by ~40–50%, significant reductions in var diversity, MOI var , and population size were observed in ~2000 humans across all ages. These changes, consistent with the loss of diverse parasite genomes, were short-lived and 32 months after IRS was discontinued and SMC was introduced, var diversity and population size rebounded in all age groups except for the younger children (1–5 years) targeted by SMC. Despite major perturbations from IRS and SMC interventions, the parasite population remained very large and retained the var population genetic characteristics of a high-transmission system (high var diversity; low var repertoire similarity), demonstrating the resilience of P. falciparum to short-term interventions in high-burden countries of sub-Saharan Africa.
Authors
- Samantha Deed (ORCID: https://orcid.org/0000-0003-0069-5722)
- Kwadwo Koram (ORCID: https://orcid.org/0000-0003-4274-6516)
- Gerry Q. Tonkin‐Hill (ORCID: https://orcid.org/0000-0003-4397-2224)
- Qixin He (ORCID: https://orcid.org/0000-0003-1696-8203)
- Abraham Rexford Oduro (ORCID: https://orcid.org/0000-0002-4191-7419)
- Anita Ghansah (ORCID: https://orcid.org/0000-0003-4639-1249)
- Dionne C. Argyropoulos (ORCID: https://orcid.org/0000-0002-8068-0215)
- Mun Hua Tan (ORCID: https://orcid.org/0000-0003-3396-8213)
- Kathryn E. Tiedje (ORCID: https://orcid.org/0000-0003-3305-0533)
- Karen P. Day (ORCID: https://orcid.org/0000-0002-6115-6135)
- Mercedes Pascual (ORCID: https://orcid.org/0000-0003-3575-7233)
- Oscar Bangre (ORCID: https://orcid.org/0000-0003-1491-1510)
- Shazia Ruybal‐Pesántez (ORCID: https://orcid.org/0000-0002-0495-179X)
- Qi Zhang (ORCID: https://orcid.org/0000-0001-7959-817X)
Institutions
- Santa Fe Institute (US)
- University of Ghana (GH)
- The University of Melbourne (AU)
- Walter and Eliza Hall Institute of Medical Research (AU)
- University of Chicago (US)
- Noguchi Memorial Institute for Medical Research (GH)
- Peter Doherty Institute (AU)
- Navrongo Health Research Centre (GH)
- Genomics (United Kingdom) (GB)
- Ghana Health Service (GH)
- New York University (US)
Publication Details
- Journal
- eLife
- Published
- 2025-10-28
- DOI
- https://doi.org/10.7554/elife.91411.4
- Citations
- 1
- Primary Topic
- Malaria Research and Control
- Type
- article
- Field-Weighted Citation Impact
- 1.88