ArticleEcoHealth2025
Seroconversion Model for a Better Understanding of Hantavirus Transmission in Rodents.
Article in EcoHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Studies show the link between hantavirus infection in rodents and human infection risk. Understanding factors contributing to rodent hantavirus transmission is crucial for assessing and predicting human hantavirus pulmonary syndrome risk. Infection dynamics are often studied using seroprevalence time series from serological tests, but this method only provides an average consequence over time, offering limited insight into timing or mechanisms. To overcome this, we developed a strategy which combines capture-mark-recapture data and longitudinal serological data in order to determine the likely time window for infection and correlate it with individual features (sex and age) and the weather conditions to which each individual rodent was subject throughout its lifetime. We applied our seroconversion model to field data from two sigmodontine species, Akodon azarae and Oligoryzomys flavescens, collected in agroecosystems in the Buenos Aires province of Argentina, from May 2014 to January 2016, with a trapping effort of 19,800 trap-nights. By using daily time series, we found different weather conditions related to high seroconversion rates for each species, hardly identifiable in seroprevalence data. Higher infection rates in males and the fact that strongest effects on seroconversion converge at the time of the year that corresponds to the reproductive period indicate that transmission may be connected to matting behavior. In addition, by comparing weather conditions that relate to seroconversion with those which favor virus persistence in the environment, we argue that nesting habits could also play a role in hantavirus transmission.
Indexed as
Identifiers
40133741What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.