7 research outputs found
DataSheet_1_Spatial, environmental, and individual associations with Anopheles albimanus salivary antigen IgG in Haitian children.docx
IgG serology can be utilized to estimate exposure to Anopheline malaria vectors and the Plasmodium species they transmit. A multiplex bead-based assay simultaneously detected IgG to Anopheles albimanus salivary gland extract (SGE) and four Plasmodium falciparum antigens (CSP, LSA-1, PfAMA1, and PfMSP1) in 11,541 children enrolled at 350 schools across Haiti in 2016. Logistic regression estimated odds of an above-median anti-SGE IgG response adjusting for individual- and environmental-level covariates. Spatial analysis detected statistically significant clusters of schools with students having high anti-SGE IgG levels, and spatial interpolation estimated anti-SGE IgG levels in unsampled locations. Boys had 11% (95% CI: 0.81, 0.98) lower odds of high anti-SGE IgG compared to girls, and children seropositive for PfMSP1 had 53% (95% CI: 1.17, 2.00) higher odds compared to PfMSP1 seronegatives. Compared to the lowest elevation, quartiles 2-4 of higher elevation were associated with successively lower odds (0.81, 0.43, and 0.34, respectively) of high anti-SGE IgG. Seven significant clusters of schools were detected in Haiti, while spatially interpolated results provided a comprehensive picture of anti-SGE IgG levels in the study area. Exposure to malaria vectors by IgG serology with SGE is a proxy to approximate vector biting in children and identify risk factors for vector exposure.</p
Additional file 1 of Geospatial analysis of Plasmodium falciparum serological indicators: school versus community sampling in a low-transmission malaria setting
Additional file 1: Table S1. Remote sensing data: resolutions, units, and sources. Table S2. Prevalence of positive rapid diagnostic test results with 95% confidence intervals by survey year for Tracking Results Continuously versus Transmission Assessment Surveys. Table S3. Observed seropositivity to P. falciparum antigens by survey year with 95% confidence intervals for community members surveyed for Tracking Results Continuously, 2012-2017. Table S4. Descriptive statistics of survey-site temporal covariates. Table S5. Descriptive statistics of survey-site static covariates. Table S6. Mean estimated coefficients of covariates with 95% credible intervals
Characteristics of symptomatic COVID-19 cases by disease severity.
Characteristics of symptomatic COVID-19 cases by disease severity.</p
Surveillance flow chart for reporting outpatient SARS-CoV-2 cases—Haiti: Data streams for the detection, investigation, and testing of persons suspected of having SARS-CoV-2 infection from March 18 to August 4, 2020.
NP: Nasopharyngeal; LNSP: National Public Health Laboratory (Laboratorie nationale de santé publique; NAAT: Nucleic acid amplification testing; DELR: Directorate of Epidemiology, Laboratories and Research (Direction d’epidemiologie, de laboratoire et de recherches).</p
Characteristics of all COVID-19 cases, by symptom status, Haiti, March to August 2020.
Characteristics of all COVID-19 cases, by symptom status, Haiti, March to August 2020.</p
Logistic regression modelling evaluating risk factors related to the severity of clinical manifestations of COVID-19 outpatients, i.e. comparing moderate-to-severe and mild case as the outcome.
Logistic regression modelling evaluating risk factors related to the severity of clinical manifestations of COVID-19 outpatients, i.e. comparing moderate-to-severe and mild case as the outcome.</p
SARS-CoV-2 outbreak by week of onset–Haiti: Number of suspected and confirmed outpatient SARS-CoV-2 cases and percent positivity of tests by epidemiological week from March 18 to August 4, 2020.
SARS-CoV-2 outbreak by week of onset–Haiti: Number of suspected and confirmed outpatient SARS-CoV-2 cases and percent positivity of tests by epidemiological week from March 18 to August 4, 2020.</p