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Sensitivity and representativeness of one-health surveillance for diseases of zoonotic potential at health facilities relative to household visits in rural Guatemala.
Grajeda, Laura M; McCracken, John P; Berger-González, Mónica; López, María Reneé; Álvarez, Danilo; Méndez, Salvador; Pérez, Oscar; Cordón-Rosales, Celia; Zinsstag, Jakob.
Affiliation
  • Grajeda LM; Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City 01015, Guatemala.
  • McCracken JP; Global Health Institute, College of Public Health, University of Georgia, GA, USA.
  • Berger-González M; Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City 01015, Guatemala.
  • López MR; Global Health Institute, College of Public Health, University of Georgia, GA, USA.
  • Álvarez D; Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City 01015, Guatemala.
  • Méndez S; Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City 01015, Guatemala.
  • Pérez O; Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City 01015, Guatemala.
  • Cordón-Rosales C; Ministry of Public Health and Social Welfare, Petén, Guatemala.
  • Zinsstag J; Ministry of Agriculture, Livestock and Food, Petén, Guatemala.
One Health ; 13: 100336, 2021 Dec.
Article in En | MEDLINE | ID: mdl-34703874
ABSTRACT
Most human and animal disease notification systems are unintegrated and passive, resulting in underreporting. Active surveillance can complement passive efforts, but because they are resource-intensive, their attributes must be evaluated. We assessed the sensitivity and representativeness of One-Health surveillance conducted at health facilities compared to health facilities plus monthly household visits in three rural communities of Guatemala. From September 2017 to November 2018, we screened humans for acute diarrheal, febrile and respiratory infectious syndromes and canines, swine, equines and bovines for syndromic events or deaths. We estimated the relative sensitivity as the incidence rate ratio of detecting an event in health facility surveillance compared to household surveillance from Poisson models. We used interaction terms between the surveillance method and sociodemographic factors or time trends to assess effect modification as a measure of relative representativeness. We used generalized additive models with smoothing splines to model incidence over time by surveillance method. We randomized 216 households to health facility surveillance and 198 to health facility surveillance plus monthly household visits. Health facility surveillance alone was less sensitive than when combined with household surveillance by 0.42 (95% CI 0.34, 0.53), 0.56 (95% CI 0.39, 0.79), 0.02 (95% CI 0.00, 0.10), 0.28 (95% CI 0.15, 0.50) and 0.22 (95% CI 0.03, 0.92) times for human acute infections, human severe acute infections, and deaths in canines, swine and equines, respectively. Health facility surveillance alone underrepresented Spanish speakers (interaction p-value = 0.0003) and persons in higher economic assets (interaction p-values = 0.0008). The trend in incidence over time was different between the two study groups, with a larger decrease in the group with household surveillance (all interaction p-values <0.10). Surveillance at health facilities under ascertains syndromes in humans and animals which leads to underestimation of the burden of zoonotic disease. The magnitude of under ascertainment was differentially by sociodemographic factors, yielding an unrepresentative sample of health events. However, it is less time-intensive, thus might be sustained over time longer than household surveillance. The choice between methodologies should be evaluated against surveillance goals and available resources.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Diagnostic_studies / Prognostic_studies / Screening_studies Country/Region as subject: America central / Guatemala Language: En Journal: One Health Year: 2021 Type: Article Affiliation country: Guatemala

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Diagnostic_studies / Prognostic_studies / Screening_studies Country/Region as subject: America central / Guatemala Language: En Journal: One Health Year: 2021 Type: Article Affiliation country: Guatemala