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. 2024 May 2:11:1387040.
doi: 10.3389/fvets.2024.1387040. eCollection 2024.

Spatio-temporal dynamics and drivers of highly pathogenic avian influenza H5N1 in Chile

Affiliations

Spatio-temporal dynamics and drivers of highly pathogenic avian influenza H5N1 in Chile

Claudio Azat et al. Front Vet Sci. .

Abstract

Introduction: Highly pathogenic avian influenza A H5N1 clade 2.3.4.4b (hereafter H5N1) is causing vast impacts on biodiversity and poultry around the globe. In Chile, lethal H5N1 cases have been reported in a wide range of wild bird species, marine mammals, backyard and industrial poultry, and humans. This study describes the spatio-temporal patterns of the current epizootic of H5N1 in Chile and test drivers that could be associated with outbreak occurrence.

Methods: We used H5N1 cases reported by the Chilean National Animal Health Authority from 5 December 2022 to 5 April 2023. These included wild bird cases confirmed through an avian influenza-specific real-time reverse transcription PCR assay (RT-qPCR), obtained from passive and active surveillance. Data were analyzed to detect the presence of H5N1 clusters under space-time permutation probability modeling, the association of H5N1 with distance and days since the first outbreak through linear regression, and the correlation of H5N1 presence with a number of ecological and anthropogenic variables using general linear modeling.

Results: From 445 H5N1 identified outbreaks involving 613 individual cases in wild birds, a consistent wave-like spread of H5N1 from north to south was identified, which may help predict hotspots of outbreak risk. For instance, seven statistically significant clusters were identified in central and northern Chile, where poultry production and wildlife mortality are concentrated. The presence of outbreaks was correlated with landscape-scale variables, notably temperature range, bird richness, and human footprint.

Discussion: In less than a year, H5N1 has been associated with the unusual mortality of >100,000 individuals of wild animals in Chile, mainly coastal birds and marine mammals. It is urgent that scientists, the poultry sector, local communities, and national health authorities co-design and implement science-based measures from a One Health perspective to avoid further H5N1 spillover from wildlife to domestic animals and humans, including rapid removal and proper disposal of wild dead animals and the closure of public areas (e.g., beaches) reporting high wildlife mortalities.

Keywords: HPAI; bird flu; epidemiology; one health; pelicans; poultry.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Highly pathogenic avian influenza H5N1 occurrence in wildlife in Chile. Histogram showing a number of (A) outbreaks and (B) individual cases of highly pathogenic avian influenza H5N1 in wild birds (red bars) and marine mammals (gray bars) in Chile between December 2022 and April 2023.
Figure 2
Figure 2
Spatial distribution of highly pathogenic avian influenza H5N1 in Chile studied from December 2022 to April 2023. (A) Distribution of H5N1 outbreaks in wild birds and seven statistically significant (p < 0.05) spatial clusters of H5N1 high-risk areas obtained from scan statistics analysis. Larger clusters are represented by green-shaded circles and are detailed in the insets. (B) Distribution of all confirmed outbreaks of H5N1 in Chile, including wild birds, marine mammals, backyard and industrial poultry, and a human.
Figure 3
Figure 3
Relationship between days and distance since the first outbreak of highly pathogenic avian influenza H5N1 in wild birds in Chile. (A) Relationship using the coordinates of each outbreak (n = 445). The lines are predictions from the linear model (R-squared is given for the prediction). (B) Same analysis but using the distance from centroids and the date of the first case detected on the centroid (n = 31), with a slope of 32.76 days/1000 km. Centroids were estimated using a cell size grid = 1 with the st_make_grid function of the sf package in R. The northernmost outbreak of the first day of reporting in the dataset was used as the first index case for all calculations.
Figure 4
Figure 4
Ecological and anthropogenic variables associated with the presence of highly pathogenic avian influenza H5N1 outbreaks in wild birds in Chile. Effect size (odds ratio) of variables explaining the presence/absence of cases using a GLM with binomial error distribution. Odds ratios with an asterisk show statistically significant effects (p-value <0.05); the more asterisks, the lower the p-value.

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Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study has been funded by the Fondecyt project 1211587 (to CA).