Association between the proportion of Plasmodium falciparum and Plasmodium vivax infections detected by passive surveillance and the magnitude of the asymptomatic reservoir in the community: a pooled analysis of paired health facility and community data - Aix-Marseille Université
Article Dans Une Revue The Lancet Infectious Diseases Année : 2020

Association between the proportion of Plasmodium falciparum and Plasmodium vivax infections detected by passive surveillance and the magnitude of the asymptomatic reservoir in the community: a pooled analysis of paired health facility and community data

1 LSHTM - London School of Hygiene and Tropical Medicine
2 ULISBOA - Universidade de Lisboa = University of Lisbon = Université de Lisbonne
3 London School of Hygiene & Tropical Medicine [Fajara, The Gambia]
4 MACEPA - PATH Malaria Control and Elimination Partnership in Africa [Chainama Grounds Lusaka, Zambia]
5 Tulane University School of Public Health and Tropical Medicine [New Orleans, LA, USA]
6 Mwanza Medical Research Centre [Mwanza, Tanzania]
7 Research Institute for Tropical Medicine [Manila, Philippines]
8 Radboud University Medical Center [Nijmegen]
9 Johns Hopkins Bloomberg School of Public Health [Baltimore]
10 Universidad Continental [Huancayo, Peru]
11 Fundação de Medicina Tropical Dr Heitor Vieira Dourado [Manaus, Brazil]
12 UEA - Universidade do Estado do Amazonas = University of the Amazon State
13 FIOCRUZ - Fundação Oswaldo Cruz / Oswaldo Cruz Foundation
14 Instituto Elimina [Manaus, Brazil]
15 CNM - National Center for Parasitology, Entomology and Malaria Control [Phnom Penh, Cambodia]
16 Swiss Tropical and Public Health Institute [Basel]
17 CHAI - Clinton health Access Initiative Boston
18 CDC - Centers for Disease Control and Prevention [Atlanta]
19 Clinton Health Access Initiative [Port-au-Prince, Haiti]
20 MSPP - Programme National de Contrôle de la Malaria, Ministère de la Santé Publique et de la Population [Port-au-Prince, Haiti]
21 Mahosot Hospital [Vientiane, Laos]
22 Big Data Institute - Nuffield Department of Medicine [Oxford, UK]
23 UHS - University of Health Sciences [Vientiane, Laos]
24 SESSTIM - U1252 INSERM - Aix Marseille Univ - UMR 259 IRD - Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale
25 UC Irvine - University of California [Irvine]
26 Mahidol University [Bangkok]
27 SMRU - Shoklo Malaria Research Unit [Mae Sot, Thailand]
28 Perth Children's Hospital [Nedlands, WA, Australia]
29 Curtin University
30 Institute for Disease Modelling [Seattle, WA, USA]

Résumé

Background Passively collected malaria case data are the foundation for public health decision making. However, because of population-level immunity, infections might not always be sufficiently symptomatic to prompt individuals to seek care. Understanding the proportion of all Plasmodium spp infections expected to be detected by the health system becomes particularly paramount in elimination settings. The aim of this study was to determine the association between the proportion of infections detected and transmission intensity for Plasmodium falciparum and Plasmodium vivax in several global endemic settings. Methods The proportion of infections detected in routine malaria data, P(Detect), was derived from paired household cross-sectional survey and routinely collected malaria data within health facilities. P(Detect) was estimated using a Bayesian model in 431 clusters spanning the Americas, Africa, and Asia. The association between P(Detect) and malaria prevalence was assessed using log-linear regression models. Changes in P(Detect) over time were evaluated using data from 13 timepoints over 2 years from The Gambia. Findings The median estimated P(Detect) across all clusters was 12⋅5% (IQR 5⋅3-25⋅0) for P falciparum and 10⋅1% (5⋅0-18⋅3) for P vivax and decreased as the estimated log-PCR community prevalence increased (adjusted odds ratio [OR] for P falciparum 0⋅63, 95% CI 0⋅57-0⋅69; adjusted OR for P vivax 0⋅52, 0⋅47-0⋅57). Factors associated with increasing P(Detect) included smaller catchment population size, high transmission season, improved care-seeking behaviour by infected individuals, and recent increases (within the previous year) in transmission intensity. Interpretation The proportion of all infections detected within health systems increases once transmission intensity is sufficiently low. The likely explanation for P falciparum is that reduced exposure to infection leads to lower levels of protective immunity in the population, increasing the likelihood that infected individuals will become symptomatic and seek care. These factors might also be true for P vivax but a better understanding of the transmission biology is needed to attribute likely reasons for the observed trend. In low transmission and pre-elimination settings, enhancing access to care and improvements in care-seeking behaviour of infected individuals will lead to an increased proportion of infections detected in the community and might contribute to accelerating the interruption of transmission. Funding Wellcome Trust.
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Dates et versions

inserm-03079015 , version 1 (17-12-2020)

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Gillian Stresman, Nuno Sepúlveda, Kimberly Fornace, Lynn Grignard, Julia Mwesigwa, et al.. Association between the proportion of Plasmodium falciparum and Plasmodium vivax infections detected by passive surveillance and the magnitude of the asymptomatic reservoir in the community: a pooled analysis of paired health facility and community data. The Lancet Infectious Diseases, 2020, 20 (8), pp.953-963. ⟨10.1016/S1473-3099(20)30059-1⟩. ⟨inserm-03079015⟩
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