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Despite recent progress in the fight against malaria, it still remains a global health challenge necessitating development of intervention strategies. However, the search for malaria vaccine(s) has so far been very challenging. Multiple targets have been tested and so far only a few show promise with one having been endorsed by the WHO. In this study we explore the development of immunity in a low transmission setting, with very few documented re-infections, in order to understand the kinetics of the development and waning of immunity to current and novel blood-stage vaccine candidate antigens. To do this we performed a high-throughput measurement of natural acquired immunity against P. falciparum antigens utilizing a well-established micro-array platform based on the mammalian protein expression system. This large panel of known and novel recombinant full length ectodomain P. falciparum merozoite vaccine candidates were differently recognized by the immune system. Based on the overal spread of the data, some of these antigens induced the acquisition of high levels (1st tertile) of antibodies, among which included novel antigens such as PF3D7_1025300, PF3D7_1105800, PF3D7_1334400, PF3D7_0911300, PF3D7_1252300, PF3D7_1460600, PF3D7_1453100, PF3D7_0831400 and some induced low levels of antibodies (3rd tertile) while others induced moderate levels (4th tertile). In this longitudinal cohort with low level of malaria endemicity, acquisition of humoral immunity to these full length ectodomains P. falciparum antigens demonstrate different dynamics over-time, whereby it was either not acquired or if it was acquired it was either maintained or lost at different rates. These various identified novel antigens are potentially ideal candidates to be prioritized for further functional and or serological studies.

Individuals with acute malaria infection generated high levels of antibodies that cross-react with the SARS-CoV-2 Spike protein. Cross-reactive antibodies specifically recognized the sialic acid moiety on N-linked glycans of the Spike protein and do not neutralize in vitro SARS-CoV-2. Sero-surveillance is critical for monitoring and projecting disease burden and risk during the pandemic; however, routine use of Spike protein-based assays may overestimate SARS-CoV-2 exposure and population-level immunity in malaria-endemic countries.

Molecular epidemiology using genomic data can help identify relationships between malaria parasite population structure, malaria transmission intensity, and ultimately help generate actionable data to assess the effectiveness of malaria control strategies. Genomic data, coupled with geographic information systems data, can further identify clusters or hotspots of malaria transmission, parasite genetic and spatial connectivity, and parasite movement by human or mosquito mobility over time and space. In this study, we performed longitudinal genomic surveillance in a cohort of 70 participants over four years from different neighborhoods and households in Thiès, Senegal—a region of exceptionally low malaria transmission (entomological inoculation rate (EIR) less than 1). Genetic identity (identity by state) was established using a 24 single nucleotide polymorphism molecular barcode and a multivariable linear regression model was used to establish genetic and spatial relationships. Our results show clustering of genetically similar parasites within households and a decline in genetic similarity of parasites with increasing distance. One household showed extremely high diversity and warrants further investigation as to the source of these diverse genetic types. This study illustrates the utility of genomic data with traditional epidemiological approaches for surveillance and detection of trends and patterns in malaria transmission not only by neighborhood but also by household. This approach can be implemented regionally and countrywide to strengthen and support malaria control and elimination efforts.

Dengue virus is a major and rapidly growing public health concern in tropic and subtropic regions across the globe. In late 2018, Senegal experienced its largest dengue virus outbreak to date, covering several regions. However, little is known about the genetic diversity of dengue virus (DENV) in Senegal. Here we used molecular tools including metagenomic sequencing to identify 19 previously undetected dengue virus cases from the city of Thiès and assemble 17 complete virus genomes. DENV3 was the most frequent serotype; 11 sequences (65%) were DENV3, 4 sequences were DENV2 and 2 were DENV1. Sequences were closest to recent sequences from West Africa, suggesting ongoing local circulation of viral populations; however, detailed inference is limited by the scarcity of available genomic data. We did not find clear associations with reported clinical signs or symptoms, highlighting the importance of testing for diagnosing febrile diseases. Overall, these findings expand the known range of DENV in Senegal, and underscore the need for better genomic characterization of DENV in West Africa.