Global prevalence and epidemiology of Strongyloides stercoralis in dogs: a systematic review and meta-analysis

Author:

Eslahi Aida Vafae,Hashemipour Sima,Olfatifar Meysam,Houshmand Elham,Hajialilo Elham,Mahmoudi Razzagh,Badri Milad,Ketzis Jennifer K.ORCID

Abstract

Abstract Background Strongyloides stercoralis, a soil-transmitted helminth, occurs in humans, non-human primates, dogs, cats and wild canids. The zoonotic potential between these hosts is not well understood with data available on prevalence primarily focused on humans. To increase knowledge on prevalence, this review and meta-analysis was performed to estimate the global status of S. stercoralis infections in dogs. Methods Following the PRISMA guidelines, online literature published prior to November 2020 was obtained from multiple databases (Science Direct, Web of Science, PubMed, Scopus and Google Scholar). Prevalence was calculated on a global and country level, by country income and climate, and in stray/animal shelter dogs versus owned dogs. Statistical analyses were conducted using R-software (version 3.6.1). Results From 9428 articles, 61 met the inclusion criteria. The estimated pooled global prevalence of S. stercoralis in dogs was 6% (95% CI 3–9%). Infection was found to be the most prevalent in low-income countries with pooled prevalence of 22% (95% CI 10–36%). The highest pooled prevalence of S. stercoralis in dogs was related to regions with average temperature of 10–20 °C (6%; 95% CI 3–11%), an annual rainfall of 1001–1500 mm (9%; 95% CI 4–15%) and humidity of 40–75% (8%; 95% CI 4–13%). Prevalence was higher in stray and shelter dogs (11%; 95% CI 1–26%) than in owned dogs (3%; 95% CI 1–7%). Conclusions As with S. stercoralis in humans, higher prevalence in dogs is found in subtropical and tropical regions and lower-income countries, locations which also can have high dog populations. While this study presents the first estimated global prevalence of S. stercoralis in dogs, it is potentially an underestimation with 15 of 61 studies relying on diagnostic methods of lower sensitivity and a paucity of data from most locations. Standardized protocols (e.g. quantity of feces and number of samples for a Baermann) in future studies could improve reliability of results. More prevalence studies and raising veterinary awareness of S. stercoralis are needed for a One Health approach to protect humans and dogs from the impact of the infection. Graphical Abstract

Publisher

Springer Science and Business Media LLC

Subject

Infectious Diseases,Parasitology

Reference50 articles.

1. Zibaei M, Nosrati MRC, Shadnoosh F, Houshmand E, Karami MF, Rafsanjani MK, et al. Insights into hookworm prevalence in Asia: a systematic review and meta-analysis. Trans R Soc Trop Med Hyg. 2020;114(3):141–54.

2. Omidinia N, Zibaei M, Hosseini H, Pourrostami K, Eslahi AV, Badri M. Human hydatidosis in Alborz province: a 5-year retrospective epidemiological analysis of hospitalized cases. Ann Parasitol. 2020;66(4):587–92.

3. Cleaveland S, Laurenson MK, Taylor LH. Diseases of humans and their domestic mammals: pathogen characteristics, host range and the risk of emergence. Philos Trans R Soc B Biol Sci. 2001;356:991–9.

4. Eslahi AV, Mowlavi G, Houshmand E, Pirestani M, Majidiani H, Nahavandi KH, et al. Occurrence of Dioctophyme renale (Goeze, 1782) in road-killed canids of Iran and its public health implication. Vet Parasitol Reg Stud Rep. 2021;24:100568.

5. Eslahi AV, Badri M, Nahavandi KH, Houshmand E, Dalvand S, Riahi SM, et al. Prevalence of strongyloidiasis in the general population of the world: a systematic review and meta-analysis. Pathog Glob Health. 2021;115:7–20.

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