Open Access
Research Article
Volume 24, 2017
Article Number 9
Number of page(s) 6
Published online 13 March 2017

© C. Rengifo-Herrera et al., published by EDP Sciences, 2017

Licence Creative Commons
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Toxoplasmosis is one of the most common infections, with a wide geographic distribution and infects a large number of birds and mammals [11, 26, 32]. The definitive hosts are all members of the Felidae family, infected either by the ingestion of oocysts shed in the environment or tissue cysts ingested during carnivorism. Cats can excrete millions of oocysts through feces; oocysts are highly resistant in the environment, surviving for months in soil and water. After initial infection, cats acquire lifelong immunity and do not shed oocysts again after being re-infected, except if they suffer severe malnutrition or superinfection by other etiological agents such as Isospora sp. [11, 32].

Most seropositive cats have already shed oocysts. Because of this, there is epidemiological importance in detecting seropositive felids [4, 5, 32]. The identification of seropositive cats in a community is important to estimate past soil contamination with oocysts, determining populations with a high risk of exposure to T. gondii [4]. Epidemiological studies conducted worldwide have also demonstrated a significant association between positive cases in humans and contact with soil [2, 1416, 23, 24, 33].

Dogs have also been reported to play a role in the mechanical transmission of the parasite [79, 20, 31, 32, 34]. Their presence in households has been considered a risk factor for infection with T. gondii in humans. They may contribute to transmission by spreading oocysts in the environment via shedding after ingestion of oocysts without the replication of the parasite in the intestine, which only occurs in cats. They can physically disperse oocysts due to coprophagy and rolling habits in cat excrement, contaminating their fur [8].

Currently, there is very limited data regarding the seroprevalence of T. gondii in domestic animals in Central America. In Panama, previous studies have shown a high seroprevalence in swine (32.1%) and cats (45.6%), indicating high levels of exposure to the parasite and a high risk of transmission to humans [3, 9].

The aim of this study was to determine the seroprevalence of T. gondii in domestic cats and dogs in different metropolitan regions of Panama, near the Panama Canal. In addition, variables related to demographic and animal welfare data were evaluated, to elucidate variables associated with T. gondii infection.

Materials and methods

Studied communities

This study was conducted in four regions of the metropolitan area of Panama, three of them located in Panama City, defined as: Central Region (80°17′ ~ 79°33′ W, 8°27′ ~ 8°57′ N), East Region (79°25′ ~ 79°6′ W, 9°7′ ~ 9°9′ N), and San Miguelito Region; and a fourth region located in a neighboring province, West Panama, defined as West Region (79°40′ ~ 79°54′ W, 8°58′ ~ 8°32′ N).

Sample collection

A total of 576 blood samples were collected from both domestic cats (n = 120) and dogs (n = 456) for one year (October 2015–October 2016). The sera were obtained during spay/neuter interventions (sterilization programs) performed in the communities of studied sites (Table 1). A signed consent and approval were obtained from owners, who voluntarily included their animals in the sterilization campaign.

Table 1.

Prevalence and surveyed data for Toxoplasma gondii in studied regions.

Samples were collected by puncturing either the cephalic, saphenous or jugular vein and 1–3 mL of blood was extracted and placed into tubes for serology, kept in an ice cooler and transported to the laboratory. Serology tubes were centrifuged at 3000 rpm for 10 min, and the sera stored at −20 °C until analysis.

Serologic examination

An indirect enzyme-linked immunosorbent assay (ELISA) was used for detection of IgG antibodies against Toxoplasma gondii in sera (Multi-species ID Screen® Toxoplasmosis Indirect, IDVET, Montpellier, France), according to the manufacturer’s instructions. The cut-off for positive results was defined with an optical density of 0.350 (OD > 0.350). Absorbance was measured at 450 nm with an automatic 96-well plate reader (BioTek Synergy HT, VT, USA).

Demographic and animal welfare data

A questionnaire was provided to pet owners in the Central, West, and San Miguelito Regions, to identify the characteristics of the species (sex, age, weight, species, and number of animals per household) and level of animal welfare (veterinary attention provided, type of dwelling, access to green areas, drinking water, and disease information).

Statistical analysis

The sample size was verified by clearing the margin of error, using the equation described by Schwartz [30]. Data were tabulated and evaluated using exploratory analysis with the aid of a statistical computer program [27]. The dimensionality of the data set was reduced using a principal component analysis (PCA) [18, 19].

To understand the drivers of the variables in the surveyed population, we conducted exploratory analysis techniques by partitioning the data set using a grouping method in which each observation belongs to the group whose mean value is closest [22]. Cross-validation was established to reduce the margin of error. All data were described through measures of central tendency and minimum and maximum values.


Across all studied regions of Panama’s metropolitan area, mean seroprevalence for T. gondii in the sampled domestic pets was 30.73% (margin of error = 0.04%). Prevalence results were consistent for all dogs (32.23%) and cats (25.00%) included in the study, but the difference was not significant (chi-square test, p > 0.05).

The percentage of positive dogs was relatively high in all the studied regions (24.50%–38.49%). For cats, this percentage varied among regions, from none in the San Miguelito Region to a high number of positive animals in the East Region. Although the number of collected samples was higher for dogs (n = 456) than cats (n = 120), the differences in prevalence between regions and for both species by region were not significant (chi-square test, p > 0.05). On the other hand, the East Region showed a higher prevalence of T. gondii for pets (39.56%) compared to the other studied regions (ANOVA; p < 0.05).

The survey defined the number of animals per household in all the studied regions (except the East Region), indicating that there was at least one animal per surveyed household, except for the West Region where the number of animals was higher, with some households reporting up to four cats (Table 1).

To evaluate the behavior of the variables collected through the survey in explaining their influence on T. gondii prevalence, a principal component analysis (PCA) was conducted using a factor map (Fig. 1). The PCA revealed those variables with higher quality in the study, although these were only able to explain 38% of the variance. The PCA is dominated by two main groups of highly correlated variables. First, the variables age, weight, and prevalence showed a positive correlation and the highest quality. Second, region, number of animals per household, and those variables related to the level of animal welfare (i.e. veterinary attention, type of dwelling, access to green areas, drinking water, and disease information) also showed a positive correlation. Of all these variables, region and number of animals per household showed the highest quality. On the other hand, these variables showed homogeneous behavior among the West, Central, and San Miguelito Regions.

thumbnail Figure 1.

Principal component analysis of variables (PCA). The factor map helps to visualize the cluster of correlated variables in groups (≅90°). Cos2 is the gradient of quality to highlight the most important variables in explaining the variations retained by the principal components. Dimension 1 and 2 (Dim1 and 2) is the space where variables are expressed (<38% of variance). The distribution of the surveyed population through variables is also observed. Variables analyzed: (1) sex, (2) weight, (3) age, (4) number of animal per household, (5) veterinary attention, (6) type of dwelling, (7) access to green areas, (8) drinking water, (9) disease information, (10) prevalence and (11) region.


Prevalence studies in dogs and cats have been conducted around the world reporting a wide range of seroprevalence for T. gondii. In Bogota (Colombia), Dubey et al. reported seroprevalence of 16.8% in unwanted dogs [6]. In Brazil, Brandao et al. [1] and Rodrigues et al. [29] reported 40.90% and 43.1% seroprevalence in domestic dogs from Minas Gerais and Mato Grosso (Pantanal), respectively. In Madrid (Spain), a seroprevalence of 32.3% was found in stray cats, whereas in Thailand and New Caledonia, seroprevalence values were 11.0% and 32.8%, respectively. Likewise, in the last two regions, seroprevalence in dogs was 9.4% and 50%, correspondingly [17, 21, 28]. In Panama City, reports on seroprevalence in domestic pets are limited. In this study, seroprevalence values for dogs and cats in the studied regions were 32.23% and 25.00%, respectively, with a mean prevalence of 30.73% (p > 0.05). These results are similar to those reported for Panama City, where the seroprevalence in domestic cats was 45.6%, suggesting that dogs are implicated in the dynamics of the disease [8]. However, little is known about the factors involved in the epidemiology of Toxoplasma infections in domestic pets in Panama, especially in the metropolitan region.

This study sampled four regions surrounding the metropolitan area of Panama City, where no significant difference was found in prevalence between dogs and cats. This reveals that the infection rate is similar, suggesting that both species have the same probability of being infected with the parasite.

Socioeconomic and environmental factors have been associated with transmission and consequently, a higher prevalence for T. gondii. For example, intake of raw or undercooked meat containing tissue cysts, contact with oocysts-contaminated food, water, and soil, and mother to offspring transmission, are some factors involved in the epidemiology of this disease [29]. For dogs, coprophagy and rolling in cat excrement are some of the risk factors involved in transmission [8]. In the regions studied, aspects such as the number of animals (including different species) interacting with dogs and cats, animal habits and pet care (e.g. bathing and grooming) might increase exposure to the parasite, influencing the high infection rate (P = 21.74%–39.56%).

The East Region showed the highest prevalence (39.56%) with statistical significance among the studied regions (ANOVA, p < 0.05). Unfortunately, no surveys were conducted; therefore, we are limited in explaining these results. However, socioeconomic, cultural, and demographic components, as well as the type and location of domestic animal species present, could be relevant to understand the dynamics of the animal population, and consequently the disease [13]. In suburban areas, a statistical trend is observed showing an increasing number of canines closely related with high poverty [25]. In the East Region of Panama City, the human density is low (<500−2000 inhabitants per km2) and the region has the lowest socioeconomic status. Therefore, the environment is conducive to a larger number of animals coexisting with humans, with perhaps a greater probability of contact with the parasite and a greater number of infected individuals [12].

The principal component analysis (PCA) showed homogeneous behavior according to the surveyed variables analyzed for West, Central, and San Miguelito Regions, forming a single group population possibly due to their similar demographic characteristics. These three regions have the highest human density in the country (>500 inhabitants per km2) and a socioeconomic middle class status [12]. Therefore, it is possible that these characteristics provide a similar environment for domestic pets, defining the prevalence of the disease (P = 21.74%–26.00%).

The PCA was used to correct the dimension of the collected data (error range = 0.04%). Compiled information in surveys includes variables related to the characteristics of the species and the level of animal welfare. The correlation coefficient indicated an interdependency of variables and a low coefficient (38%), suggesting more variables should be included in order to increase the variance.

The most important variables identified with this analysis were weight, age, prevalence, region, and number of animals per household. The correlations suggest that age and weight have an influence on the prevalence of the disease (Fig. 1). Older animals tend to reach a greater weight than younger animals, influencing the increment of prevalence in the population, mainly because they have more opportunities to have contact with the parasite over a longer time. These results were consistent with those of a study conducted in Ethiopia, where seropositivity was related to age [10].

This study was an attempt to identify those factors involved in the dynamics of Toxoplasma infection in domestic pets in Panama. Since cats and dogs are the most popular pet animals, their infections likely affect their owners and others living in their environment. Such information is critical to establishing prevention strategies to minimize this neglected disease.


The seroprevalence of 25% and 32.23% for T. gondii serum antibodies in cats and dogs in different communities of the metropolitan regions of Panama indicates that pet animals are likely to represent a risk factor for the transmission of T. gondii in humans, although socioeconomic and environmental factors may also play an important role in transmission of the disease.

Conflict of interest

The authors declare that they have no conflict of interest.


This work was funded by the National Secretary of Science, Technology and Innovation through the National Research System (SNI-SENACYT), Republic of Panama (Contract No. 42-2015). We would like to thank the veterinary students from the University of Panama and Fundación San Francisco de Asis (FUNDASIS) for their support during fieldwork, and Lic. Mariangela Soberón for her logistical support. We are also grateful to Dr. Armando Castillo for his support in the edition of figures, and the students Aliya Moreira and Abhinav Pandya from the University of Chicago for their help in collecting data during surveys.


  1. Brandao GP, Ferreira AM, Melo MN, Vitor RW. 2006. Characterization of Toxoplasma gondii from domestic animals from Minas Gerais, Brazil. Parasite, 13, 43–49. [CrossRef] (In the text)
  2. Cook AJ, Gilbert RE, Buffolano W, Zufferey J, Petersen E, Jenum PA, Foulon W, Semprini AE, Dunn DT. 2000. Sources of Toxoplasma infection in pregnant women: European multicentre case-control study. European Research Network on Congenital Toxoplasmosis. British Medical Journal, 321, 142–147. [CrossRef] [PubMed] (In the text)
  3. Correa R, Cedeño I, de Escobar C, Fuentes I. 2008. Increased urban seroprevalence of Toxoplasma gondii infecting swine in Panama. Veterinary Parasitology, 153, 9–11. [CrossRef] [PubMed] (In the text)
  4. Dabritz HA, Conrad PA. 2010. Cats and Toxoplasma: implications for public health. Zoonoses and Public Health, 57, 34–52. [CrossRef] [PubMed] (In the text)
  5. Dubey JP, Jones JL. 2008. Toxoplasma gondii infection in humans and animals in the United States. International Journal for Parasitology, 38, 1257–1278. [CrossRef] [PubMed] (In the text)
  6. Dubey JP, Cortés-Vecino JA, Vargas-Duarte JJ, Sundar N, Velmurugan GV, Bandini LM, Polo LJ, Zambrano L, Mora LE, Kwok OCH, Smith T, Su C. 2007. Prevalence of Toxoplasma gondii in dogs from Colombia, South America and genetic characterization of T. gondii isolates. Veterinary Parasitology, 145, 45–50. [CrossRef] [PubMed] (In the text)
  7. Etheredge GD, Michael G, Muehlenbein MP, Frenkel JK. 2004. The roles of cats and dogs in the transmission of Toxoplasma infection in Kuna and Embera children in eastern Panama. Revista Panamericana de Salud Pública, 16, 176–186. (In the text)
  8. Frenkel JK, Parker BB. 1996. An apparent role of dogs in the transmission of Toxoplasma gondii. The probable importance of xenosmophilia. Annals of the New York Academy of Sciences, 791, 402–407. [CrossRef] [PubMed] (In the text)
  9. Frenkel JK, Hassanein KM, Hassanein RS, Brown E, Thulliez P, Quintero-Nunez R. 1995. Transmission of Toxoplasma gondii in Panama City, Panama: a five-year prospective cohort study of children, cats, rodents, birds, and soil. American Journal of Tropical Medicine and Hygiene, 53, 458–468. (In the text)
  10. Gebremedhin EZ, Dima N, Beyi AF, Dawo F, Feyissa N, Jorga E, Di Marco V, Vitale M. 2016. Toxoplasmosis in camels (Camelus dromedarius) of Borana zone, Oromia region, Ethiopia: seroprevalence and risk factors. Tropical Animal Health and Production, 48, 1599–1606. [CrossRef] [PubMed] (In the text)
  11. Hartmann K, Addie D, Belák S, Boucraut-Baralon C, Egberink H, Frymus T, Gruffydd-Jones T, Hosie MJ, Lloret A, Lutz H, Marsilio F, Möstl K, Pennisi MG, Radford AD, Thiry E, Truyen U, Horzinek MC. 2013. Toxoplasma gondii infection in cats: ABCD guidelines on prevention and management. Journal of Feline Medicine and Surgery, 15, 631–637. [CrossRef] [PubMed] (In the text)
  12. INEC. 2010. Instituto Nacional de Estadística y Censo, Contraloría General de la República de Panamá. Distrito de Panamá: Censo Nacional de Población y Vivienda. (In the text)
  13. Ibarra L, Espinola F, Echeverría M. 2006. Factores relacionados con la presencia de perros en las calles de la ciudad de Santiago, Chile. Avances en Ciencias Veterinarias, 21, 21–26. (In the text)
  14. Jumaian NFF. 2005. Seroprevalence and risk factors for Toxoplasma infection in pregnant women in Jordan. Eastern Mediterranean Health Journal, 11, 45–51. (In the text)
  15. Jones JL, Kruszon-Moran D, Wilson M, McQuillan G, Navin T, McAuley JB. 2001. Toxoplasma gondii infection in the United States: seroprevalence and risk factors. American Journal of Epidemiology, 154, 357–365. [CrossRef] [PubMed]
  16. Jones JL, Muccioli C, Belfort R, Holland GN, Roberts JM, Silveira C. 2006. Recently acquired Toxoplasma gondii infection, Brazil. Emerging Infectious Diseases, 12, 582–587. [CrossRef] [PubMed] (In the text)
  17. Jittapalapong S, Nimsupan B, Pinyopanuwat N, Chimnoi W, Kabeya H, Maruyama S. 2007. Seroprevalence of Toxoplasma gondii antibodies in stray cats and dogs in the Bangkok metropolitan area, Thailand. Veterinary Parasitology, 145, 138–141. [CrossRef] [PubMed] (In the text)
  18. Kassambara A, Mundt F. 2017. Factoextra: extract and visualize the results of multivariate data analyses. R package version 1.0.4, (In the text)
  19. Lê S, Josse J, Husson F. 2008. FactoMineR: an R package for multivariate analysis. Journal of Statistical Software, 25, 1–18. (In the text)
  20. Lindsay DS, Dubey JP, Butler JM, Blagburn BL. 1997. Mechanical transmission of Toxoplasma gondii oocysts by dogs. Veterinary Parasitology, 73, 27–33. [CrossRef] [PubMed] (In the text)
  21. Miró G, Montoya A, Jiménez S, Frisuelos C, Mateo M, Fuentes I. 2004. Prevalence of antibodies to Toxoplasma gondii and intestinal parasites in stray, farm and household cats in Spain. Veterinary Parasitology, 126, 249–255. [CrossRef] [PubMed] (In the text)
  22. Maechler M, Rousseeuw P, Struyf A, Hubert M, Hornik K. 2016. Cluster: cluster analysis basics and extensions. R package version 2.0.5, (In the text)
  23. Nimri L, Pelloux H, Elkhatib L. 2004. Detection of Toxoplasma gondii DNA and specific antibodies in high-risk pregnant women. American Journal of Tropical Medicine and Hygiene, 71, 831–835. (In the text)
  24. Nash JQQ, Chissel S, Jones J, Warburton F, Verlander NQQ. 2005. Risk factors for toxoplasmosis in pregnant women in Kent, United Kingdom. Epidemiology and Infection, 133, 475–483. [CrossRef] [PubMed] (In the text)
  25. OPS/OMS. 2002. Tendencias demográficas y de mortalidad en la región de las Américas, 1980–2000. Boletín Epidemiológico, 23, 5–16. (In the text)
  26. Pereira KS, Franco RMB, Leal DAG. 2010. Transmission of toxoplasmosis (Toxoplasma gondii) by foods. Advances in Food and Nutrition Research, 60, 1–19. [CrossRef] [PubMed] (In the text)
  27. R Core Team. 2015. R: a language and environment for statistical computing. R Foundation for Statistical Computing: Vienna, Austria, (In the text)
  28. Roqueplo C, Halos L, Cabre O, Davoust B. 2011. Toxoplasma gondii in wild and domestic animals from New Caledonia. Parasite, 18, 345–348. [CrossRef] [EDP Sciences] [PubMed] (In the text)
  29. Rodrigues JY, Almeida Ado BPF, de Boa Sorte EC, Gasparetto ND, Cruz FACS, da Sousa VRF. 2016. Seroprevalence of Toxoplasma gondii in dogs of riverside communities of Mato Grosso Pantanal, Brazil. Revista Brasileira de Parasitologia Veterinaria, 25, 531–535. [CrossRef] (In the text)
  30. Schwartz D. 1981. Méthodes statistiques à l’usage des médecins et des biologistes. Paris: Flammarion Médecine-Sciences. (In the text)
  31. Torrey EF, Yolken RH. 2013. Toxoplasma oocysts as a public health problem. Trends in Parasitology, 29, 380–384. [CrossRef] [PubMed] (In the text)
  32. Tenter AM, Heckeroth AR, Weiss LM. 2000. Toxoplasma gondii: from animals to humans. International Journal for Parasitology, 30, 1217–1258. [CrossRef] [PubMed] (In the text)
  33. Weigel RM, Dubey JP, Dyer D, Siegel AM. 1999. Risk factors for infection with Toxoplasma gondii for residents and workers on swine farms in Illinois. American Journal of Tropical Medicine and Hygiene, 60, 793–798. (In the text)
  34. Yang N, Mu M, Li H, Hu J, Gao W, Yang S, He J. 2013. Seroprevalence of Toxoplasma gondii infection in pet dogs in Shenyang, Northeastern China. Journal of Parasitology, 99, 176–177. [CrossRef] (In the text)

Cite this article as: Rengifo-Herrera C, Pile E, García A, Pérez A, Pérez D, Nguyen FK, de la Guardia V, Mcleod R & Caballero Z: Seroprevalence of Toxoplasma gondii in domestic pets from metropolitan regions of Panama. Parasite, 2017, 24, 9.

All Tables

Table 1.

Prevalence and surveyed data for Toxoplasma gondii in studied regions.

All Figures

thumbnail Figure 1.

Principal component analysis of variables (PCA). The factor map helps to visualize the cluster of correlated variables in groups (≅90°). Cos2 is the gradient of quality to highlight the most important variables in explaining the variations retained by the principal components. Dimension 1 and 2 (Dim1 and 2) is the space where variables are expressed (<38% of variance). The distribution of the surveyed population through variables is also observed. Variables analyzed: (1) sex, (2) weight, (3) age, (4) number of animal per household, (5) veterinary attention, (6) type of dwelling, (7) access to green areas, (8) drinking water, (9) disease information, (10) prevalence and (11) region.

In the text

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