Replication data for - Incidence of loiasis clinical manifestations in a rural area of the Republic of Congo: results from a longitudinal prospective study (the MorLo project)

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Replication data for - Incidence of loiasis clinical manifestations in a rural area of the Republic of Congo: results from a longitudinal prospective study (the MorLo project)
Campillo, Jérémy; Pakat-Pambou, Biam-Miveck; Sahm, Bachiratou; Pion, Sebastien D. S.; Hemilembolo, Marlhand C.; Lebredonchel, Elodie; Boussinesq, Michel; Missamou, François; Chesnais, Cédric, 2025, "Replication data for - Incidence of loiasis clinical manifestations in a rural area of the Republic of Congo: results from a longitudinal prospective study (the MorLo project)", https://doi.org/10.23708/BNMZN8, DataSuds, V1, UNF:6:ot97WXQ0SsOwXC4RC0YeHw== [fileUNF]
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Description

Loiasis is endemic in Central Africa. Despite evidence of clinical complications and increased mortality, it remains excluded from the list of neglected tropical diseases. The main manifestations are Calabar swellings (CS), Eyeworm (EW) and non-specific general symptoms such arthralgia and pruritus.

We calculated incidence rates for clinical manifestations of loiasis from a 13-month study on clinical manifestations in 991 individuals living in Loa loa-endemic areas in the Republic of Congo.

From September 2022 to September 2023, community health workers collected weekly symptoms from cohort participants. Detailed data on symptom duration, intensity, associated pruritus, and impact on sleep were recorded. Laboratory procedures included thick blood smear for L. loa microfilaremia measurement, creatininemia measurement and eosinophilia counts. We used multiple failure analysis and frailty models to calculate incidence rates of EW, CS, arthralgia, pruritus and absence from work (AfW) and to analyses factors associated with increased incidence of each symptom. The population-attributable fractions (PAFs) associated with loiasis were also calculated for pruritus, AfW and arthralgia.

(2025-01-27)
Subject Medicine, Health and Life Sciences
Keyword Loiasis, Filariasis, Multiple failure analysis
Notes Data Type: Observational data
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