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Long-Term Surveillance of Chlamydia psittaci and West Nile Virus in Wild Birds from Central Spain (2013–2022)

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20 November 2025

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24 November 2025

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Abstract
Wild birds are relevant reservoirs and sentinels for zoonotic pathogens such as Chlamydia psittaci and West Nile virus (WNV), both of which can affect animal and public health. Wildlife rehabilitation centers (WRCs) offer unique opportunities for passive surveillance of emerging and re-emerging infectious diseases, particularly in urban and peri-urban settings. From 2013 to 2022, a total of 1,024 bird samples were collected upon admission to WRCs in the Community of Madrid, Spain. Oropharyngeal and cloacal swabs, as well as tissue samples, were tested using real-time PCR targeting the ompA gene of C. psittaci and the 3´NC region of WNV. Only one sample tested positive for C. psittaci by real time PCR in 2021, yielding a positivity rate of 0.22% (95% CI: 0.005–1.195). No positive cases were detected during the remaining years of the study. All samples tested negative for WNV over the nine-year period. Conclusions: The low detection rate suggests limited circulation of these pathogens among wild birds in central Spain. However, continued surveillance is warranted, especially in high-risk avian species and personnel occupa-tionally exposed in avian rehabilitation facilities using expanded sample sizes and complementary diagnostic tools. These efforts are essential to improve early detection and risk assessment within a One Health framework.
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1. Introduction

Wild birds are recognized as key natural reservoirs for a wide range of zoonotic pathogens, including both bacterial and viral agents. Their ability to migrate over long distances and adapt to anthropogenically modified environments facilitates the transboundary spread of infectious agents, making them critical targets for wildlife disease surveillance under a One Health framework.
Among the zoonotic pathogens of avian origin, Chlamydia psittaci and West Nile virus (WNV) stand out due to their capacity to circulate silently in bird populations and occasionally spill over into humans and domestic animals. Despite differing in taxonomy and transmission mechanisms, both agents share ecological traits that enable their persistence and dissemination in wild bird communities.
Chlamydia is a genus of gram-negative bacteria distributed globally, known for its obligatory intracellular nature, parasitizing eukaryotic cells. Birds are the primary hosts for multiple species of Chlamydia. Within this genus, there is variation in host specificity, with some species restricted to a single host, while others infect a wide range of wild and domestic animals, including humans. The most well-known species is C. psittaci, a zoonotic bacterium that affects a wide variety of birds, livestock, pets, and humans [1]. It is particularly prevalent in poultry, captive parrots, cockatoos, doves, and pigeons [2], which explains why it is mostly studied in humans, poultry, and pet birds [3]. Symptoms can range from asymptomatic to those involving ocular, respiratory, and gastrointestinal signs, with intermittent bacterial shedding, particularly during stressful situations (e.g., migration, breeding, illness) [4]. Zoonotic transmission occurs by the inhalation of respiratory secretion or dried faeces dispersed in the air [4]. The severity of human chlamydiosis (also called psittacosis) varies depending on the virulence of the strain, with infections potentially resulting in severe respiratory disease [5]. In recent years, the Chlamydiaceae family has expanded with the identification of several new avian species, including Chlamydia gallinacea, Chlamydia avium and Chlamydia buteonis, which has challenged previous conceptions of host specificity and disease ecology [2,3,6]. These findings, alongside reports of novel transmission routes, such as the suspected spillover from wild birds to horses and humans, have renewed interest in the role of wild birds in chlamydial epidemiology [7]. Although its zoonotic potential is well recognized, C. psittaci remains largely underestimated by both healthcare professionals and public health authorities, particularly in Europe, where human cases often go undiagnosed due to nonspecific symptoms and limited awareness [5,7]. Systematic reviews indicate that its contribution to community-acquired pneumonia (CAP) is greater than generally assumed, with prevalence estimates in hospitalized patients ranging from around 1% to as high as 6.7% in some reports [8]. In Spain, sporadic outbreaks and familial clusters have been documented, particularly among individuals exposed to pet or wild birds [9,10]. However, no national surveillance program or seroprevalence studies are currently in place, suggesting that the burden of psittacosis is likely underestimated.
West Nile virus (WNV) is a re-emerging zoonotic, arthropod-borne virus of the Flaviviridae family, primarily transmitted by Culex spp. mosquitoes in an enzootic cycle involving birds as amplifying hosts. First identified in Uganda in 1937, WNV has expanded its geographic range significantly, and now circulates in multiple continents, including Europe, where prevalence has increased in the last decade. In Spain, WNV has been detected in birds, horses, and humans. The first human case was retrospectively diagnosed in 2004 [11], with outbreaks occurring from 2010 onward, particularly in Andalucía and Extremadura. The largest WNV epidemic reported in Spain occurred in 2020, with 77 confirmed human cases and at least eight deaths [12]. Human cases have been reported annually ever since, with a marked increase in both case numbers and fatalities in 2024 [13]. Similarly, equine cases have also been reported annually since their initial detection in 2010, including a seropositive horse in Madrid [14]. WNV has been recorded in over 392 bird species [15]. In Spain, the first indirect evidence of transmission in wild birds emerged in 2003 through a serological survey of the Common Coot (Fulica atra), a partially migratory aquatic species in Southern Spain [16]. Subsequent studies have confirmed WNV presence in both wild and captive birds using direct and indirect detection methods [17,18,19,20]. WNV comprises at least eight phylogenetic lineages, with lineages 1 (L1) and 2 (L2) being the most widespread and associated with major outbreaks. L2 has been increasingly detected in Central and Eastern Europe since 2004, where it is responsible for most human cases. In Spain, L1 has been circulating since decades in the south, west, and central regions [21], while L2 has been present in the northeast of the country for eight years and appears to be advancing southward along the Valencian coast [22].
As natural reservoirs for C. psittaci and WNV, wild birds are able to reintroduce these pathogens into domestic animal and human populations due to their wide-ranging movements and ability to forage in urban and peri-urban areas [23]. Consequently, monitoring and surveillance of zoonotic pathogens in wild birds have become essential for preventive measures, particularly in regions with previous evidence of pathogen circulation [24].
Wildlife Rehabilitation Centres (WRCs) represent a valuable yet underutilized tool for disease surveillance, as they admit birds from diverse environments, often presenting clinical signs or debilitated conditions that increase the likelihood of pathogen detection [25]. Consequently, WRCs can act as passive surveillance networks and provide early warnings for the circulation of zoonotic pathogens in wildlife.
Despite their potential, few studies have investigated C. psittaci in wild birds in Spain, with most focusing on urban pigeons, poultry, and occasionally waterfowl, thus leaving a considerable knowledge gap concerning other wild avian species [26,27,28]. This is particularly relevant considering that certain wild birds, such as scavengers and migratory species, may act as ecological bridges between remote natural ecosystems and human-dominated landscapes, thereby playing a key role in pathogen dispersal [29,30]. Additionally, monitoring invasive wild bird species is also critical, as their presence may facilitate the (re-)emergence of zoonotic diseases, as previously highlighted by Andersen et al. (2004)[31]. Moreover, few studies have assessed the risk of zoonotic transmission to WRC personnel, despite evidence of exposure scenarios. Similarly, although seropositive juvenile birds have recently been detected in central Spain, suggesting active local flavivirus [32], data on WNV circulation in the region remain scarce. Given the importance of this pathogen in the country, sustained surveillance efforts are essential to anticipate and mitigate potential outbreaks. Therefore, the aim of the present study was to determine the prevalence of C. psittaci and WNV in wild birds admitted to a Wildlife Rehabilitation Centre in central Spain. By contributing novel data on this pathogen’s circulation in poorly studied avian hosts, this research seeks to enhance our understanding of the epidemiological role of wild birds in those zoonotic agents’ transmission, and to inform future wildlife and public health strategies.

2. Materials and Methods

2.1. Study Area and Bird Population

This study was part of a nine-year (2013–2022) wildlife surveillance program in Madrid, including samples obtained from the Soto de Viñuelas Wildlife Rehabilitation Center (WRC) to determine the role of wildlife in zoonotic pathogen transmission. The center is dedicated to the conservation and recovery of native fauna from Madrid regions that are injured or found ill, with the goal of returning them to their natural environment when possible. Ethical review and approval were not required for this study, as all procedures were conducted as part of routine diagnostic, clinical care, and rehabilitation activities at the authorized Wildlife Rehabilitation Center. No experimental procedures or interventions exceeding standard veterinary practice were performed.
A total of 1,024 samples were collected from different bird species listed in Table 1. Of these, 464 (45.3%) were tested for C. psittaci and 560 (54.7%) for WNV.
A total of 49 avian species from 14 orders were examined (Table 1). The most represented groups for both C. psittaci and WNV were Ciconiiformes (23.3% and 22.3%, respectively), dominated by the White Stork (Ciconia ciconia); Accipitriformes (20.3% and 21.1%), mainly represented by the Black Kite (Milvus migrans); and Psittaciformes (18.8% and 19.6%), largely due to the Monk Parakeet (Myiopsitta monachus). Other orders with a moderate contribution included Charadriiformes (13.1% and 11.4%), Anseriformes (5.4% and 4.5%), and Strigiformes (5.4% and 6.2%). Falconiformes, Passeriformes, Suliformes, Pelecaniformes, and Gruiformes accounted for smaller proportions, while Apodiformes and Podicipediformes were only marginally represented (<1%). This distribution highlights that most samples originated from a few dominant avian orders, consistent across both pathogens.

2.2. Samples for Pathogen Detection

Samples collected from birds included cloacal swabs (195), tracheal swabs (205), cloacal and tracheal swab pools (502), and brain tissue (122). Sample collection occurred throughout the year, with data of month, sex, and age recorded when available. Swabs were collected per individual and stored in 1 mL of PBS at -80°C while brains were sent frozen and stored at -80°C before processing at VISAVET Health Surveillance Centre for pathogen detection.

2.3. Molecular Screening

Total DNA from swabs was extracted using the QIAamp Minelute Virus Spin kit (Qiagen, Hilden, Germany), while DNA from brain tissues was obtained with the RNeasy Lipid Tissue kit (Qiagen, Hilden, Germany), following the manufacturer´s instructions. All procedures were performed under biosafety level 3 (BSL-3) conditions. Real time PCR targeting C. psittaci was performed on swabs DNA using the primers and probe described by Pantchev et al. (2009) [33] (Table 2) on a CFX96 thermal cycler (Bio-rad, Hercules, CA, USA). For every sample, a 25 μl reaction mix was prepared, including 5µl of the sample, 5 μl of the master mix Quantifast Pathogen (Qiagen, Hilden, Germany), 0.75µl of each primer (20µM) and 0.5µl of the probe (20µM). An internal control to detect inhibitions was added, with 1,5 μl of 10x Internal Control Assay and Internal control DNA both from Qiagen. The cycle conditions included 95°C for 5 minutes, followed by 40 cycles of 95°C for 15 seconds and 60°C for 1 minute.
For WNV detection, nucleic acids extracted from brain tissues were analyzed by RT-PCR following the protocol described by Jiménez-Clavero et al. (2006) [34], using the primers and probes listed in Table 2. The assay was performed using the commercial Quantifast Pathogen RT-PCR kit (Qiagen, Hilden, Germany). In brief, 2 µl of purified RNA was combined with 5 µl of 2× Quantifast RT-PCR Master Mix, 0. 25 µl of Quantifast RT mix, 0.5µl of WNV-specific primers at 20 µM concentration, and 0.25µl of the probes at 20 µM. An internal control to detect inhibitions was added, with 1,5 μl of 10x Internal Control Assay and Internal control DNA, both from Qiagen. RNase-free water was added to reach a total reaction volume of 25 µl. The thermal cycling protocol included an initial reverse transcription at 50 °C for 20 min, followed by a 5 min of polymerase activation step at 95 °C, and 45 amplification cycles of 95 °C for 15 s and 60 °C for 1 min. Reaction were run on a CFX96 thermal cycler (Bio-Rad, Hercules, CA, USA).
a FAM 6-carboxy-fluorescein. b Black hole quencher c MGB (minor groove binding) probe.

2.4. Statistical Analysis

Qualitative variables were described using frequencies and percentages. The proportion of positive cases was calculated as positives divided by the number tested (%), with 95% confidence intervals estimated using the exact binomial (Clopper–Pearson) method. Analyses were conducted in IBM SPSS Statistics (v28).

3. Results

A total of 464 birds were tested for the presence of C. psittaci and 560 for WNV over the study period. The types of samples collected, seasonal distribution, and demographic characteristics (sex and age) of the birds tested for each pathogen are summarized in Table 3. Sampling was most frequent in the first quarter of the year for both pathogens, and pooled cloacal and tracheal swabs represented the predominant sample type. Adult individuals constituted most of the birds tested, with slightly more males than females recorded in both datasets.
* Percentages for sex and age are calculated over the subset with available data. .
Real-time PCR detected a single C. psittaci positive in 2021, yielding an overall positivity of 0.22% (95% CI: 0.01–1.19). No positives were identified in any other year of the study period (Table 4).
C. psittaci was detected in an adult white stork (C. ciconia) admitted in January 2021, which arrived together with 27 conspecifics. Considering the white stork population analyzed (n = 83), the intraspecific prevalence was 1/83 = 1.20% (95% CI: 0.03–6.53%).
No positive cases of WNV were detected among the 560 samples tested (0.00% overall; 95% exact upper limit ≈ 0.66%), indicating that all samples collected across 2013–2022 were negative for the virus.

4. Discussion

Key epidemiological factors linking wild birds to zoonotic diseases include their migratory movements and their capacity to adapt to urban and anthropogenic environments, thereby enhancing opportunities for contact with humans and domestic animals. Wild birds have long been proposed as natural reservoirs of C. psittaci, a zoonotic agent traditionally associated with captive psittacines. Although this association remains important, growing evidence indicates a broader host range that includes both wild and domestic bird species [35]. Nevertheless, direct evidence supporting the role of free-living wild birds as reservoirs is limited [5], and empirical data on their contribution to the epidemiology of C. psittaci remain scarce.
Recent advances in avian chlamydial research have identified several novel Chlamydia species, broadening the understanding of host range and pathogen diversity in wild birds [3]. Moreover, new potential transmission routes involving not only birds but also mammals such as horses and humans have been described, underscoring the complex epidemiological interactions and the necessity for comprehensive surveillance encompassing diverse wild avifauna and their environments.
The migratory behavior of many wild bird species facilitates the dissemination of pathogens across large geographic areas, while their adaptation to anthropogenic environments, such as urban parks and landfills, may increase contact rates with humans and domestic animals, elevating zoonotic risk [30].
The present study addresses a significant knowledge gap, as most previous research on avian chlamydiosis in Spain has focused on domestic birds, pigeons, or waterfowl, rather than on a broader spectrum of wild species. By leveraging the unique setting of a Wildlife Rehabilitation Centre (WRC) in Madrid (Central Spain), this work contributes valuable epidemiological insight. As highlighted by Stitt et al. (2007) [25], WRCs are ideal platforms for pathogen surveillance due to the diversity of species admitted and their broad geographic origins. Birds admitted due to illness or injury may also be more likely to present active infections, thus improving pathogen detection sensitivity.
Most samples analyzed for both C. psittaci and WNV originated from birds of the orders Ciconiiformes, Accipitriformes, and Psittaciformes, underscoring their relevance in health surveillance and their potential role in the maintenance and transmission of these pathogens. Conversely, orders such as Apodiformes and Podicipediformes were scarcely represented, which could be due to a lower frequency of admission or capture in wildlife rehabilitation centers, although their epidemiological relevance should not be underestimated. This distribution emphasizes that surveillance efforts tend to concentrate on a limited number of avian groups, which may bias our understanding of pathogen circulation in the broader bird community.
C. psittaci was detected only in a white stork (C. ciconia) admitted to the WRC in 2021. This individual was found in Perales del Río, approximately 11 km from Madrid’s largest landfill (Valdemingómez), an area known to attract large flocks of scavenging birds. The white stork is a long-distance migratory species whose population in Spain has grown significantly in recent decades, partly due to the year-round availability of anthropogenic food sources, such as landfills [36,37,38,39]. This trend has resulted in an increasing number of storks admitted to rehabilitation centers [40], a pattern also observed in the current study, where C. ciconia was the most represented species (n = 83). Their high density in human-modified environments, opportunistic foraging (including the frequent use of landfills), and interactions with other species such as gulls that frequent similar habitats highlight the potential role of white storks as sentinel species in zoonotic pathogen surveillance [30]. Such ecological traits may facilitate interspecies transmission of pathogens, including C. psittaci. Nonetheless, in this study, the variation in sample sizes across years, particularly the limited number of birds analyzed between 2017 and 2019, restricts the evaluation of temporal trends. Within these limitations, the results suggest that C. psittaci was either absent or circulating at very low levels in this population during the study period. Overall prevalence of C. psittaci in the sampled birds was very low, contrasting with a global pooled prevalence of 19.5%, constant since 2012, estimated in a recent systematic review and meta-analysis [41]. In the present study, no positives were found among psittacines (n = 87) despite this order being consistently identified as a primary reservoir in other regions particularly in outbreaks linked to pet birds and aviaries [7,42]. Prevalence rates ranging from 2.5% to 10.3% have been reported in parrots across Costa Rica (3.4%), Poland, and Thailand [43,44,45]. Moreover, a recent survey detected C. psittaci in 23.8% of monk parakeets in Sevilla and Madrid [46]. Similarly, previous studies reported prevalence rates of 13–96% in Columbiformes [35], 55.2% in Anatidae and 11.8% in Corvidae [47], and lower rates in Accipitridae (1.3%) and Passerines (2.9%) [48]. In our dataset, the limited representation of these groups (e.g., only three Columbiformes sampled) and small sample sizes per species likely explain the absence of positives.
Comparisons with studies in Spain also illustrate wide variability: prevalence values ranged from 2.6% to 52.6% in pigeons [27,28], 13% in waterfowl [26], and 25% in gulls [29]. In contrast, large-scale surveillance from Switzerland and Australia, each involving more than 600 birds, reported prevalence rates below 1% [49,50]. Notably, Stalder and collaborators in 2020 [50] analyzed 316 birds, including five white storks, all of which tested negative. Methodological differences may explain some discrepancies, as fecal swabs are considered less sensitive than choanal swabs [51].
Other taxa also tested negative in our dataset. No raptors were positive, which is consistent with previous reports suggesting that, although waterfowl, crows, and raptors are often found positive for Chlamydia infections, they have received comparatively less attention than psittacines and pigeons [3]. Expanding surveillance in these groups and across different geographic regions is warranted. In line with this, sporadic detection has been reported in scavenging species such as black vultures in Patagonia, where prevalence was 5.3% [52]. Prevalence may also vary with host age or health status: nestlings and juveniles often show lower infection rates [53], while severe acute disease could lead to rapid mortality, reducing the likelihood of detection in wild populations [54].
Finally, species strongly associated with anthropogenic environments, including white storks, gulls, and pigeons, merit particular attention, as they exploit landfills and urban habitats where opportunities for cross-species transmission are enhanced [29,30]. Despite this, few studies have specifically examined Chlamydia prevalence in white storks, with most research focusing on pigeons or captive birds.
Beyond ecological implications, these findings underscore the occupational risk for personnel in rehabilitation centers, where close contact with potentially infected birds is frequent. Cases of zoonotic transmission to workers have been documented [55,56], reinforcing the need for biosafety measures and sustained surveillance despite the overall low prevalence detected.
On the other hand, WNV RNA was not detected in the bird samples included in this study, although several limitations must be considered. WNV viraemia in birds is typically short-lived, lasting approximately 5–7 days post-infection [57], which further complicates the identification of acute infections when relying on samples collected outside this narrow temporal window. The type of sample used in this study (primarily cloacal and tracheal swabs) may have reduced detection sensitivity, as viral loads in these matrices are generally lower than in serum or tissue and can vary across avian species [58,59,60,61,62], which could lead to underestimation of true prevalence. Additionally, although brain and internal organs (e.g., heart, spleen, lungs) are considered more sensitive for WNV detection [58], their collection is more invasive and not always feasible in passive surveillance systems. Together, these factors could have contributed to an underestimation of the true prevalence of WNV in the studied population.
In Spain, there is a notable lack of published data on the circulation of WNV in wild birds in the central region. The recent report by Williams and collaborators (2024) [32], which documented the detection of flaviviruses in birds in the Madrid region, highlights the need for continued and enhanced surveillance. Considering that several avian species within the Orders Passeriformes, Strigiformes, and Columbiformes, commonly found in the study area, are recognized as amplifying hosts for WNV [63,64,65], ongoing monitoring remains crucial. Furthermore, surveillance systems should balance diagnostic sensitivity with feasibility and cost-effectiveness [66,67], potentially integrating both molecular and serological methods to better capture temporal and spatial patterns of virus circulation. In addition, a recent risk assessment conducted by the Estación Biológica de Doñana within the framework of the SPVECTORSURV project [68](Figuerora, 2024) concluded that several municipalities in Aragón, the Community of Madrid, Navarra, and La Rioja present a medium risk of WNV circulation, reinforcing the need for targeted surveillance in these regions. Given these considerations, our findings underscore the importance of maintaining WNV surveillance in central Spain, while also refining sampling strategies to improve detection efficiency.
The implementation of a surveillance program for zoonotic pathogens in wild birds admitted to WRCs has proven to be a valuable tool for monitoring avian reservoirs of infectious diseases with public health relevance. These centers provide a unique opportunity to monitor the circulation of infectious agents among wild avian populations, many of which may serve as reservoirs or sentinels for emerging diseases.
After a decade of monitoring in central Spain, our findings suggest that wild birds admitted to WRCs are not currently significant reservoirs of C. psittaci or WNV. However, given the dynamic nature of pathogen circulation, ongoing and expanded surveillance remains essential, especially in species with migratory or scavenging behaviors that may play a role in the transmission of zoonotic agents.
To improve detection and epidemiological insight, future surveillance should prioritize increasing sample sizes, focusing on high-risk taxa (e.g., pigeons, parrots, gulls, raptors, scavengers), and employing multiple diagnostic approaches and sample types. These efforts will enhance sensitivity and strengthen early warning systems, contributing to integrated One Health strategies aimed at preventing zoonotic outbreaks and supporting both wildlife conservation and public health initiatives.

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org. Table S1: Distribution of sample type, year, month, age, and sex (n = 464); Table S2: Distribution of bird species by order, number of samples, and percentage (n = 464); Table S3: Distribution of samples by type, year, month, age, and sex (n = 560); Table S4: Distribution of bird species by order, number of samples, and percentage (n = 560).

Author Contributions

Conceptualization, N.G., F.F. and A.I.; methodology, I.M., A.N. and N.G.; software, G.O.; validation, I.M., A.N. and T.A.; formal analysis, G.O.; investigation, I.M., A.N., S.V. and J.L.; resources, N.G., S.V and J.L.; data curation, G.O.; writing—original draft preparation, T.A.; writing—review and editing, T.A., I.M. and N.G.; visualization, T.A.; supervision, N.G.; project administration, N.G., A.I. and F.F..; funding acquisition, F.F. and A.I. All authors have read and agreed to the published version of the manuscript.

Funding

This research was conducted within the framework of a wildlife surveillance program funded by the Consejería de Sanidad, Comunidad de Madrid, through several contracts established with the VISAVET Health Surveillance Center – Complutense University of Madrid (Contracts number: A/SER-007343/2024; A/SER-008748/2021; A/SER-018953/2018; A/SER-009625/2017; A/SER-006332/2016; A/SER-033988/2015; 07-AT-22.8/2014; and 07-AT-00014.2/2013).

Institutional Review Board Statement

Ethical review and approval were not required for this study, as all procedures were con ducted as part of routine diagnostic, clinical care, and rehabilitation activities at the authorized Wildlife Rehabilitation Center. No experimental procedures or interventions exceeding standard veterinary practice were performed.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author(s).

Acknowledgments

The authors would like to thank the staff of the Soto de Viñuelas Wildlife Rehabilitation Center (WRC) for their invaluable assistance in sample collection and the personnel of the Consejería de Sanidad of the Community of Madrid for their essential administrative and technical support.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
WRC Wildlife Rehabilitation Center
WNV West Nile Virus

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Table 1. Bird orders, common names, and number of individuals analyzed for C. psitaccii and WNV detection in the present study.
Table 1. Bird orders, common names, and number of individuals analyzed for C. psitaccii and WNV detection in the present study.
Order of birds Common names (number of samples) C. psittaci
n (%)
WNV
n (%)
Ciconiiformes White Stork (83), Little Egret (24), Little Bittern (1) 108 (23.3%) 125 (22.3%)
Accipitriformes Black Kite (27), Common Buzzard (18), Griffon Vulture (12), Red Kite (12), Short-toed Eagle (10), Imperial Eagle (4), Black Vulture (4), Golden Eagle (2), Western Marsh Harrier (2), Sparrowhawk (2), Northern Goshawk (1) 94 (20.3%) 118 (21.1%)
Psittaciformes Monk Parakeet (79), Cockatiel (2), Peach-faced Lovebird (2), Red-winged Parrot (1), Blue-fronted Amazon (1), Lovebird (1), Grey Parrot (1) 87 (18.8%) 110 (19.6%)
Charadriiformes Mediterranean Gull (51), Black-headed Gull (9), Common Snipe (1) 61 (13.1%) 64 (11.4%)
Anseriformes Mallard (19), Egyptian Goose (4), Domestic Goose (1), Mute Swan (1) 25 (5.4%) 25 (4.5%)
Strigiformes Eurasian Eagle-Owl (23), Little Owl (2) 25 (5.4%) 35 (6.2%)
Falconiformes Lesser Kestrel (11), Peregrine Falcon (4), Common Kestrel (2) 17 (3.7%) 25 (4.5%)
Passeriformes House Sparrow (4), Eurasian Magpie (4), Song Thrush (2), European Robin (2), Common Raven (1), Great Grey Shrike (1) 14 (3.0%) 19 (3.4%)
Suliformes Great Cormorant (11) 11 (2.4%) 13 (2.3%)
Pelecaniformes Grey Heron (6), Common Spoonbill (2), Black-crowned Night Heron (1) 9 (1.9%) 9 (1.6%)
Gruiformes Great Bustard (6), Common Crane (1), Common Coot (1) 8 (1.7%) 11 (2.0%)
Columbiformes Rock Pigeon (2), Wood Pigeon (1) 3 (0.6%) 4 (0.7%)
Apodiformes Common Swift (1) 1 (0.2%) 1 (0.2%)
Podicipediformes Great Crested Grebe (1) 1 (0.2%) 1 (0.2%)
TOTAL 464 (100%) 560 (100%)
Table 2. Primer sequences and references for C. psittaci and WNV detection.
Table 2. Primer sequences and references for C. psittaci and WNV detection.
Pathogen and primer Nucleotide sequence (5´to 3´) and labelling Reference

Chlamydia psittaci
CppsOMP1-F CACTATGTGGGAAGGTGCTTCA
CppsOMP1-R CTGCGCGGATGCTAATGG Pantchev et al., 2009 [33]
CppsOMP1-S FAMa-CGCTACTTGGTGTGACBHQ1b
West Nile Virus
WN-LCV-F1 GTGATCCATGTAAGCCCTCAGAA
WN-LCV-R1 GTCTGACATTGGGCTTTGAAGTTA Jiménez-Clavero et al., 2006 [34]
WN-LCV-S1 FAMa-AGGACCCCACATGTT-MGBc
WN-LCV-S2 FAMa-AGGACCCCACGTGCT-MGBc
Table 3. Summary of sample types, seasonal distribution, and demographic characteristics of birds tested for C. psittaci and WNV over a nine-year period.
Table 3. Summary of sample types, seasonal distribution, and demographic characteristics of birds tested for C. psittaci and WNV over a nine-year period.
Variable C. psittaci (n=464) WNV (n=560)
Sample type
Pooled cloacal/tracheal 251 (54.1%) 251 (44.8%)
Tracheal swab 96 (20.7%) 109 (19.5%)
Cloacal swab 91 (19.6%) 104 (18.6%)
Brain 26 (5.6%) 96 (17.1%)
Sampling by month
January 111 (23.9%) 118 (21.1%)
February 53 (11.4%) 74 (13.2%)
March 46 (9.9%) 64 (11.4%)
April 0 (0.0%) 51 (9.1%)
May 14 (3.0%) 21 (3.8%)
June 34 (7.3%) 36 (6.4%)
July 34 (7.3%) 44 (7.9%)
August 16 (3.4%) 25 (4.5%)
September 22 (4.7%) 28 (5.0%)
October 49 (10.6%) 47 (8.4%)
November 19 (4.1%) 31 (5.5%)
December 29 (6.3%) 21 (3.8%)
Sex*
Female 54 (46.2%) 78 (45.6%)
Male 63 (53.8%) 93 (54.4%)
Age*
Adults 186 (83.4%) 239 (80.5%)
Young 27 (12.1%) 48 (16.2%)
Juveniles 10 (4.5%) 10 (3.4%)
Table 4. Total birds analyzed for C. psitacii and WNV per year and annual prevalences for the study period (2013-2022).
Table 4. Total birds analyzed for C. psitacii and WNV per year and annual prevalences for the study period (2013-2022).
Year C. psittaci tested C. psittaci % positive (95% CI) WNV tested WNV % positive (95% CI)
2013 88 0.00% (0.00–4.11) 130 0.00% (0.00–2.80)
2014 38 0.00% (0.00–9.25) 55 0.00% (0.00–6.49)
2015 78 0.00% (0.00–4.62) 115 0.00% (0.00–3.16)
2016 40 0.00% (0.00–8.81) 40 0.00% (0.00–8.81)
2017 16 0.00% (0.00–20.59) 16 0.00% (0.00–20.59)
2018 2 0.00% (0.00–84.19) 2 0.00% (0.00–84.19)
2019 7 0.00% (0.00–40.96) 7 0.00% (0.00–40.96)
2020 61 0.00% (0.00–5.87) 61 0.00% (0.00–5.87)
2021 73 1.37% (0.03–7.40) 73 0.00% (0.00–4.93)
2022 61 0.00% (0.00–5.87) 61 0.00% (0.00–5.87)
TOTAL 464 0.22% (0.01–1.19) 560 0.00% (0.00–0.66)
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