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Research article · 2026 · Full text

International Journal of Biology Sciences

Epidemiological survey and seasonal prevalence patterns of pigeon pox virus infection in urban pigeon populations in Casablanca

Hassan Amrani

Volume 8(6) · Pages 167–169 · DOI: 10.33545/26649926.2026.v8.i6b.970 ↗

Research areasBird parasitology and diseasesPoxvirus research and outbreaksAnimal Virus Infections Studies

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Abstract

Author-written

Pigeon pox is defined as a slowly progressing viral disease of pigeons caused by avipoxvirus, characterized by proliferative cutaneous lesions on unfeathered skin and diphtheritic plaques on mucosal surfaces, and constitutes one of the most prevalent infectious diseases affecting urban pigeon populations in Mediterranean regions. This research conducted a comprehensive epidemiological survey of pigeon pox virus (PPV) infection across 12 months in urban and periurban pigeon populations in Casablanca, Morocco. A total of 420 pigeons (Columba livia) were examined between January and December 2023 from eight sampling sites representing urban markets (n = 3), residential zones (n = 3), and periurban agricultural areas (n = 2). The overall prevalence was 38.6% (162/420), with significant seasonal variation: summer recorded the highest prevalence (58.8%) while winter showed the lowest (21.7%). Urban sites demonstrated significantly higher prevalence (43.2%) compared to periurban locations (28.5%) (p = 0.003). Multivariate logistic regression identified season (OR = 3.42, 95% CI: 2.18-5.36), habitat type (OR = 1.89, 95% CI: 1.22-2.93), age (OR = 0.62 for adults vs. juveniles, 95% CI: 0.41-0.94), and flock density (OR = 2.15, 95% CI: 1.48-3.12) as significant risk factors. Monthly case distribution peaked in July (62 cases) and August (58 cases), coinciding with maximum ambient temperature and mosquito vector abundance. Real-time PCR confirmed viral DNA in 85.2% of clinically diagnosed cases. These findings provide actionable epidemiological intelligence for designing targeted surveillance and control programs for PPV in Moroccan pigeon populations.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Pigeon pox is a common viral disease in Mediterranean urban pigeons, causing skin lesions and mucosal plaques. View evidence ↗

      Why it matters

      Pigeon pox is a common viral disease in Mediterranean urban pigeons, causing skin lesions and mucosal plaques.

      In the paper's own words

      “Pigeon pox is defined as a slowly progressing viral disease of pigeons caused by avipoxvirus, characterized by proliferative cutaneous lesions on unfeathered skin and diphtheritic plaques on mucosal surfaces, and constitutes one of the most prevalent infectious diseases affecting urban pigeon populations in Mediterranean regions.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The virus is primarily spread by mosquitoes (Culex and Aedes), though direct contact and contaminated environments also play a role. View evidence ↗

      Why it matters

      The virus is primarily spread by mosquitoes (Culex and Aedes), though direct contact and contaminated environments also play a role.

      In the paper's own words

      “Pigeon pox virus (PPV) transmission occurs primarily through mechanical arthropod vectors, particularly mosquitoes of the genera Culex and Aedes, as well as through direct contact with infected birds, contaminated surfaces, and aerosol exposure in confined housing”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Transmission patterns are closely tied to the seasonal cycles of mosquito vectors, which are influenced by local temperature and rain. View evidence ↗

      Why it matters

      Transmission patterns are closely tied to the seasonal cycles of mosquito vectors, which are influenced by local temperature and rain.

      In the paper's own words

      “The seasonal dynamics of PPV transmission are therefore closely linked to vector population cycles, which in Mediterranean climates exhibit pronounced seasonal fluctuations driven by temperature and precipitation patterns”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. What they did

    • Sampling took place at eight sites in Casablanca, including three urban markets, three residential zones, and two periurban agricultural areas. View evidence ↗

      What they did

      Sampling took place at eight sites in Casablanca, including three urban markets, three residential zones, and two periurban agricultural areas.

      In the paper's own words

      “The research was conducted across eight sampling sites in Casablanca, Morocco, including three urban markets (Derb Omar, Habous, Maarif), three residential zones (Ain Diab, Maârif Extension, Sidi Bernoussi), and two periurban agricultural areas (Bouskoura, Mediouna).”

      Page 2

      Found in: Materials

      Read it in the full textOpen PDF at page 2 ↗
    • A total of 420 pigeons were sampled monthly (35 per site) throughout the year. View evidence ↗

      What they did

      A total of 420 pigeons were sampled monthly (35 per site) throughout the year.

      In the paper's own words

      “Thirty-five pigeons were sampled from each site monthly, totaling 420 birds (35 birds × 12 months, with rotational sampling across sites).”

      Page 2

      Found in: Materials

      Read it in the full textOpen PDF at page 2 ↗
    • Diagnosis was based on clinical examination of lesions and confirmed using real-time PCR targeting the P4b gene. View evidence ↗

      What they did

      Diagnosis was based on clinical examination of lesions and confirmed using real-time PCR targeting the P4b gene.

      In the paper's own words

      “Clinical examination documented the presence, type, location, and severity of pox lesions. ... Real-time PCR targeting the P4b gene confirmed clinical diagnoses”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Multivariate logistic regression was used to analyze risk factors, including season, habitat, age, sex, flock density, and proximity to water. View evidence ↗

      What they did

      Multivariate logistic regression was used to analyze risk factors, including season, habitat, age, sex, flock density, and proximity to water.

      In the paper's own words

      “Risk factor analysis employed multivariate logistic regression modeling with backward stepwise elimination in SPSS v27.0. Variables assessed included season, habitat type (urban/periurban), age class (juvenile/adult), sex, flock density (birds per 100 m²), and proximity to water bodies.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
  3. What they found

    • The overall prevalence of pigeon pox virus infection in the studied population was 38.6% (162 out of 420 birds). View evidence ↗

      What they found

      The overall prevalence of pigeon pox virus infection in the studied population was 38.6% (162 out of 420 birds).

      In the paper's own words

      “The overall prevalence was 38.6% (162/420)”

      Page 1

      “The overall prevalence of PPV infection was 38.6% (162/420), with significant seasonal variation (χ² = 28.45, p < 0.001).”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 1 ↗
    • Prevalence peaked in summer at 58.8% (mostly cutaneous lesions) and was lowest in winter at 21.7%. View evidence ↗

      What they found

      Prevalence peaked in summer at 58.8% (mostly cutaneous lesions) and was lowest in winter at 21.7%.

      In the paper's own words

      “summer recorded the highest prevalence (58.8%) while winter showed the lowest (21.7%).”

      Page 1

      “summer recorded the highest overall prevalence at 58.8%, driven primarily by cutaneous lesions (32.4%), while winter showed the lowest prevalence at 21.7%.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 1 ↗
    • Urban habitats had a significantly higher prevalence of infection (43.2%) compared to periurban areas (25.7% to 28.5%). View evidence ↗

      What they found

      Urban habitats had a significantly higher prevalence of infection (43.2%) compared to periurban areas (25.7% to 28.5%).

      In the paper's own words

      “Urban sites demonstrated significantly higher prevalence (43.2%) compared to periurban locations (28.5%) (p = 0.003).”

      Page 1

      “The spatial variation between urban (43.2%) and periurban (25.7%) habitats reflects the role of environmental factors”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 1 ↗
    • Significant risk factors for infection included the summer season, high flock density, urban habitats, and proximity to water bodies. View evidence ↗

      What they found

      Significant risk factors for infection included the summer season, high flock density, urban habitats, and proximity to water bodies.

      In the paper's own words

      “Multivariate logistic regression identified season (OR = 3.42, 95% CI: 2.18-5.36), habitat type (OR = 1.89, 95% CI: 1.22-2.93), age (OR = 0.62 for adults vs. juveniles, 95% CI: 0.41-0.94), and flock density (OR = 2.15, 95% CI: 1.48-3.12) as significant risk factors.”

      Page 1

      “Multivariate analysis (Table 1) confirmed that summer season (OR = 3.42), high flock density (OR = 2.15), urban habitat (OR = 1.89), and proximity to water bodies (OR = 1.68) were significant independent risk factors”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 1 ↗
    • The highest number of cases occurred in July (62) and August (58), which coincided with peak temperatures (26.8 ± 2.4°C) and mosquito abundance (65.8 ± 18.2 per trap-night). View evidence ↗

      What they found

      The highest number of cases occurred in July (62) and August (58), which coincided with peak temperatures (26.8 ± 2.4°C) and mosquito abundance (65.8 ± 18.2 per trap-night).

      In the paper's own words

      “Monthly case distribution peaked in July (62 cases) and August (58 cases), coinciding with maximum ambient temperature and mosquito vector abundance.”

      Page 1

      “The monthly case distribution (Figure 2) demonstrated a clear summer peak with maximum cases in July (62) and August (58), coinciding with peak mosquito trap counts (65.8 ± 18.2 mosquitoes/trap-night) and ambient temperatures (26.8 ± 2.4°C).”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 1 ↗
    • A strong correlation (r = 0.85) between mosquito abundance and disease prevalence in summer supports the role of arthropod vectors in transmission. View evidence ↗

      What they found

      A strong correlation (r = 0.85) between mosquito abundance and disease prevalence in summer supports the role of arthropod vectors in transmission.

      In the paper's own words

      “The correlation between monthly mosquito abundance and PPV prevalence was strongest during summer (r = 0.85), supporting the vector-dependent transmission hypothesis.”

      Page 2

      “The close correlation between mosquito abundance and PPV prevalence (r = 0.85 in summer) supports the central role of arthropod vectors in driving seasonal transmission cycles.”

      Page 3

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Viral loads were higher during the peak transmission season of summer, as indicated by the lowest mean Ct values (19.8 ± 4.2). View evidence ↗

      What they found

      Viral loads were higher during the peak transmission season of summer, as indicated by the lowest mean Ct values (19.8 ± 4.2).

      In the paper's own words

      “with mean Ct values lowest during summer (19.8 ± 4.2), indicating higher viral loads during peak transmission season.”

      Page 2

      Found in: Discussion

      Read it in the full textOpen PDF at page 2 ↗
  4. What it means

    • The authors recommend that veterinary authorities use intensified monitoring from May to September and integrate vector control into health management. View evidence ↗

      What it means

      The authors recommend that veterinary authorities use intensified monitoring from May to September and integrate vector control into health management.

      In the paper's own words

      “It is recommended that veterinary authorities implement seasonally targeted surveillance with intensified monitoring during May through September and integrate vector control measures into pigeon health management programs.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗
    • The authors conclude that while vectors are primary, direct contact and fomites likely maintain the virus in populations during winter. View evidence ↗

      What it means

      The authors conclude that while vectors are primary, direct contact and fomites likely maintain the virus in populations during winter.

      In the paper's own words

      “However, the persistence of cases during winter months (21.7%), when mosquito abundance was minimal, suggests that non-vector transmission routes including direct contact and fomite exposure contribute to year-round viral maintenance”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

3 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (Rock pigeons (Columba livia) and mosquitoes). It explains the idea and does not show study data.↗ Enlarge
Seasonal Transmission Cycle
AI-generated conceptual illustration (Rock pigeons (Columba livia) and mosquitoes). It explains the idea and does not show study data.

AI-generated conceptual illustration (Rock pigeons (Columba livia) and mosquitoes). It explains the idea and does not show study data.

Open full-size image ↗

Seasonal Transmission Cycle

AI-generated conceptual illustration (Rock pigeons (Columba livia) and mosquitoes). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Prevalence (%): Urban markets vs Residential zones vs Periurban areas
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Prevalence (%): Urban markets vs Residential zones vs Periurban areas

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 3 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Prevalence (%): Spring vs Summer vs Autumn vs Winter
Replotted from Table 3 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 3 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Prevalence (%): Spring vs Summer vs Autumn vs Winter

Replotted from Table 3 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Multivariate logistic regression analysis of risk factors forTable 1Page 2Prevalence of pigeon pox virus infection by habitat typeTable 2Page 2Seasonal mosquito abundance, ambient temperature, andTable 3Page 2Seasonal prevalence of pigeon pox virus clinical formsFigure 1Page 2Monthly distribution of pigeon pox virus cases in urban andFigure 2Page 2
FULL TEXT Original article · reflowed for reading

Introduction

Epidemiological surveillance is the systematic, ongoing collection, analysis, interpretation, and dissemination of health-related data for the purpose of planning, implementing, and evaluating public health interventions [1] . In the context of avian diseases, epidemiological surveillance provides essential data for understanding transmission dynamics, identifying risk factors, and informing evidence-based control strategies [2] . For avian poxvirus infections, which represent one of the most geographically widespread and taxonomically diverse viral diseases of birds, epidemiological data remain fragmented across many regions, limiting the capacity for effective disease management [3] . Pigeon pox virus (PPV) transmission occurs primarily through mechanical arthropod vectors, particularly mosquitoes of the genera Culex and Aedes, as well as through direct contact with infected birds, contaminated surfaces, and aerosol exposure in confined housing [4] . The seasonal dynamics of PPV transmission are therefore closely linked to vector population cycles, which in Mediterranean climates exhibit pronounced seasonal fluctuations driven by temperature and precipitation patterns [5] . Understanding these seasonal prevalence patterns is fundamental to designing temporally targeted intervention strategies. Casablanca, Morocco's largest city with an estimated population of 3.7 million, supports extensive free-ranging and managed pigeon populations across diverse urban ecological zones [6] . The Mediterranean climate, characterized by hot dry summers and mild wet winters, creates distinct seasonal windows for vector-mediated PPV transmission [7] . This research was designed to conduct a comprehensive 12-month epidemiological survey to determine the prevalence, seasonal dynamics, and risk factors associated with PPV infection in urban and periurban pigeon populations in Casablanca.

Materials and Methods

Materials and Methods

Materials

The research was conducted across eight sampling sites in Casablanca, Morocco, including three urban markets (Derb Omar, Habous, Maarif), three residential zones (Ain Diab, Maârif Extension, Sidi Bernoussi), and two periurban agricultural areas (Bouskoura, Mediouna). Thirty-five pigeons were sampled from each site monthly, totaling 420 birds (35 birds × 12 months, with rotational sampling across sites). Ethical approval was obtained from the Animal Ethics Committee of the Casablanca Institute of Epidemiological Sciences (Protocol No. CIES-AEC-2023-019).

Methods

Clinical examination documented the presence, type, location, and severity of pox lesions. Environmental data including ambient temperature, relative humidity, and rainfall were recorded from the Casablanca meteorological station. Mosquito surveillance was conducted using CDC miniature light traps deployed at each sampling site twice monthly. Real-time PCR targeting the P4b gene confirmed clinical diagnoses [8]. Risk factor analysis employed multivariate logistic regression modeling with backward stepwise elimination in SPSS v27.0. Variables assessed included season, habitat type (urban/periurban), age class (juvenile/adult), sex, flock density (birds per 100 m²), and proximity to water bodies. The overall prevalence of PPV infection was 38.6% (162/420), with significant seasonal variation (χ² = 28.45, p < 0.001). As depicted in Figure 1, summer recorded the highest overall prevalence at 58.8%, driven primarily by cutaneous lesions (32.4%), while winter showed the lowest prevalence at 21.7%. The monthly case distribution (Figure 2) demonstrated a clear summer peak with maximum cases in July (62) and August (58), coinciding with peak mosquito trap counts (65.8 ± 18.2 mosquitoes/trap-night) and ambient temperatures (26.8 ± 2.4°C). The correlation between monthly mosquito abundance and PPV prevalence was strongest during summer (r = 0.85), supporting the vectordependent transmission hypothesis. Multivariate analysis (Table 1) confirmed that summer season (OR = 3.42), high flock density (OR = 2.15), urban habitat (OR = 1.89), and proximity to water bodies (OR = 1.68) were significant independent risk factors, while sex was not significantly associated with infection risk.

Figure 2. Monthly distribution of pigeon pox virus cases in urban and
Monthly distribution of pigeon pox virus cases in urban and↗ Enlarge
Figure 2
Monthly distribution of pigeon pox virus cases in urban and

Monthly distribution of pigeon pox virus cases in urban and

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Figure 1. Seasonal prevalence of pigeon pox virus clinical forms
Seasonal prevalence of pigeon pox virus clinical forms↗ Enlarge
Figure 1
Seasonal prevalence of pigeon pox virus clinical forms

Seasonal prevalence of pigeon pox virus clinical forms

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Table 1. Multivariate logistic regression analysis of risk factors for
Risk FactorCategoryOdds Ratio95% CIp-value
SeasonSummer vs. Winter3.422.18-5.36< 0.001
HabitatUrban vs. Periurban1.891.22-2.930.003
AgeAdult vs. Juvenile0.620.41-0.940.024
Flock densityHigh vs. Low2.151.48-3.12< 0.001
SexMale vs. Female1.120.78-1.610.541
Water proximity< 200m vs. > 200m1.681.15-2.450.007

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Multivariate logistic regression analysis of risk factors for↗ Enlarge
Table 1
Multivariate logistic regression analysis of risk factors for

Multivariate logistic regression analysis of risk factors for

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Original paper tableSource PDF · page 2 ↗

Results

International Journal of Biology Sciences https://www.biologyjournal.net

Discussion

This 12-month epidemiological survey provides the first comprehensive assessment of PPV prevalence, seasonal dynamics, and risk factors in Moroccan pigeon populations. The overall prevalence of 38.6% is consistent with reported rates in other Mediterranean regions [1,3] and confirms that PPV constitutes a significant infectious disease burden in Casablanca pigeon populations. The strong seasonal prevalence pattern, with summer values (58.8%) nearly three times higher than winter (21.7%), aligns with established understanding of vector-mediated APV transmission dynamics [4,5] . The close correlation between mosquito abundance and PPV prevalence (r = 0.85 in summer) supports the central role of arthropod vectors in driving seasonal transmission cycles. However, the persistence of cases during winter months (21.7%), when mosquito abundance was minimal, suggests that non-vector transmission routes including direct contact and fomite exposure contribute to year-round viral maintenance within pigeon populations, a finding that diverges from strictly vector-dependent transmission models [6] . The identification of flock density (OR = 2.15) as a significant independent risk factor has direct practical implications for disease management. High-density roosting environments facilitate both vector contact and direct birdto-bird transmission, creating localized amplification cycles that sustain elevated prevalence [7] . The higher susceptibility of juvenile pigeons (OR = 0.62 for adults relative to juveniles, indicating juveniles are at higher risk) is consistent with incomplete immunological maturation and absence of prior exposure-derived immunity in younger birds [8] . The spatial variation between urban (43.2%) and periurban (25.7%) habitats reflects the role of environmental factors including waste accumulation, shelter availability, and vector breeding site density in modulating transmission intensity [9] .

Surveillance Framework Design

The seasonal and spatial prevalence patterns documented in this research provide an empirical foundation for designing risk-stratified PPV surveillance programs in Moroccan urban centers. A tiered surveillance approach is recommended, with intensive monthly sampling at high-risk urban market sites during May through September and quarterly monitoring at lower-risk periurban locations during the off-peak season.

Vector Control Integration

The strong correlation between mosquito abundance and PPV prevalence supports the integration of targeted vector control measures into PPV management strategies. Insecticide-treated pigeon loft materials, larvicide application at identified mosquito breeding sites near pigeon roosting areas, and environmental management to eliminate standing water sources represent evidence-based intervention approaches that could reduce vector-mediated transmission during peak seasonal windows.

Conclusion

In the context of limited epidemiological data on pigeon pox virus in North African pigeon populations, this 12-month survey in Casablanca establishes a prevalence of 38.6% with pronounced summer peak and identifies season, flock density, urban habitat, and proximity to water as independent risk factors. The close correlation between mosquito vector abundance and disease prevalence supports the central role of arthropod-mediated transmission. It is recommended that veterinary authorities implement seasonally targeted surveillance with intensified monitoring during May through September and integrate vector control measures into pigeon health management programs. These epidemiological data provide a foundation for predictive modeling of PPV transmission dynamics under changing climatic conditions in Mediterranean urban environments.

Acknowledgement

AcknowledgementsThe contributions of Mr. Youssef Amrani in entomological surveillance and Dr. Nadia Cherkaoui in data management are gratefully acknowledged. This research was supported by the Moroccan National Centre for Scientific and Technical Research. The Casablanca Institute of Epidemiological Sciences provided all field equipment and laboratory diagnostic facilities.

Figures and tables from the paper

Table 2. Prevalence of pigeon pox virus infection by habitat type
Prevalence of pigeon pox virus infection by habitat type↗ Enlarge
Table 2
Prevalence of pigeon pox virus infection by habitat type

Prevalence of pigeon pox virus infection by habitat type

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Table 3. Seasonal mosquito abundance, ambient temperature, and
Seasonal mosquito abundance, ambient temperature, and↗ Enlarge
Table 3
Seasonal mosquito abundance, ambient temperature, and

Seasonal mosquito abundance, ambient temperature, and

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗

References

14 in the original paper
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  6. Jarmin S, Manvell R, Gough RE, Laidlaw SM, Skinner MA. Avipoxvirus phylogenetics. J Gen Virol. 2006;87(Pt 8):2191-2201.
  7. Lawson B, Lachish S, Colvile KM, Durrant C, Peck KM, Toms MP, et al. Emergence of a novel avian poxvirus in British tit species. PLoS One. 2012;7(11):e40176.
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  11. Offerman K, Carulei O, Gous TA, Douglass N, Williamson AL. Phylogenetic variation in avipoxviruses from South Africa. J Gen Virol. 2013;94(Pt 10):2338-2351.
  12. Lachish S, Bonsall MB, Lawson B, Cunningham AA, Sheldon BC. Impacts of poxvirus disease in great tits. PLoS One. 2012;7(11):e48545.
  13. Weli SC, Traavik T. Avipoxviruses: infection biology and vaccine vectors. Virol J. 2005;2:49.
  14. Smits JE, Tella JL, Carrete M, Serrano D, Lopez G. Epizootic of avian pox in the Canary Islands. Vet Pathol. 2005;42(1):59-65.