ArticleEpidemics2017
Elucidating transmission dynamics and host-parasite-vector relationships for rodent-borne Bartonella spp. in Madagascar.
Article in Epidemics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 23 citations in OpenAlex.
- Cohorts of immature Pteropus bats show interannual variation in Hendra virus serology.The Journal of animal ecology · 2026Article
- Bartonella infection in small mammals and their ectoparasites from the Central Highlands of Madagascar: diversity and implication in future zoonotic surveillance.Parasites & vectors · 2026Article
- Manipulating vector transmission reveals local processes inParasitology · 2026Article
- Applications of VirScan to broad serological profiling of bat reservoirs for emerging zoonoses.Frontiers in public health · 2023Article
- Emerging rodent-associated Bartonella: a threat for human health?Parasites & vectors · 2022Review
- Forecasting the final disease size: comparing calibrations of Bertalanffy-Pütter models.Epidemiology and infection · 2020Article
- Molecular Detection of Microorganisms Associated with Small Mammals and Their Ectoparasites in Mali.The American journal of tropical medicine and hygiene · 2020Article
- Disentangling serology to elucidate henipa- and filovirus transmission in Madagascar fruit bats.The Journal of animal ecology · 2019Article
- Endemic infection can shape exposure to novel pathogens: Pathogen co-occurrence networks in the Serengeti lions.Ecology letters · 2019Article
- Babesial infection in the Madagascan flying fox, Pteropus rufus É. Geoffroy, 1803.Parasites & vectors · 2019Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
Abstract
Bartonella spp. are erythrocytic bacteria transmitted via arthropod vectors, which infect a broad range of vertebrate hosts, including humans. We investigated transmission dynamics and host-parasite-vector relationships for potentially zoonotic Bartonella spp. in invasive Rattus rattus hosts and associated arthropod ectoparasites in Madagascar. We identified five distinct species of Bartonella (B. elizabethae 1, B. elizabethae 2, B. phoceensis 1, B. rattimassiliensis 1, and B. tribocorum 1) infecting R. rattus rodents and their ectoparasites. We fit standard epidemiological models to species-specific age-prevalence data for the four Bartonella spp. with sufficient data, thus quantifying age-structured force of infection. Known zoonotic agents, B. elizabethae 1 and 2, were best described by models exhibiting high forces of infection in early age class individuals and allowing for recovery from infection, while B. phoceensis 1 and B. rattimassiliensis 1 were best fit by models of lifelong infection without recovery and substantially lower forces of infection. Nested sequences of B. elizabethae 1 and 2 were recovered from rodent hosts and their Synopsyllus fonquerniei and Xenopsylla cheopsis fleas, with a particularly high prevalence in the outdoor-dwelling, highland-endemic S. fonquerniei. These findings expand on force of infection analyses to elucidate the ecological niche of the zoonotic Bartonella elizabethae complex in Madagascar, hinting at a potential vector role for S. fonquerniei. Our analyses underscore the uniqueness of such ecologies for Bartonella species, which pose a variable range of potential zoonotic threats.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.