ArticleInternational journal of environmental research and public health2019
Serological and Molecular Investigation of
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Coxiella burnetii in Pakistan: a meta-analysis.BMC veterinary research · 2025Pooled it
- Prevalence and Risk Factors of Coxiellosis at the Human-Animal-Environment Interface in the South Asian Countries: A Systematic Review and Meta-Analysis.Transboundary and emerging diseases · 2025Pooled it
- Global and regional seroprevalence of coxiellosis in small ruminants: A systematic review and meta-analysis.Veterinary medicine and science · 2024Pooled it
- The Prevalence ofFrontiers in veterinary science · 2021Pooled it
- Knowledge, Attitudes, and Practices About Zoonotic Diseases in Livestock Producers From Three Municipalities of Magdalena Medio, Antioquia.Veterinary medicine international · 2025Article
- Article
- Navigating Q fever: Current perspectives and challenges in outbreak preparedness.Open veterinary journal · 2024Review
- Molecular detection of Coxiella burnetii in tick and blood samples from small ruminants in northwest of Iran.Experimental & applied acarology · 2024Article
- Serological investigation ofVeterinary world · 2024Article
- Seroprevalance of Brucellosis and Q-fever in water buffaloes (Bubalus bubalis) in Haryana state, India.PloS one · 2024Article
- Molecular detection ofFrontiers in microbiology · 2023Article
- First serological evidence of Q fever in large ruminants and its associated risk factors in Punjab, Pakistan.Scientific reports · 2022Article
- Q Fever-A Neglected Zoonosis.Microorganisms · 2022Review
- Sero-Epidemiology ofPathogens (Basel, Switzerland) · 2022Article
- Serological Prevalence of and Risk Factors forInternational journal of environmental research and public health · 2022Article
- Seroprevalence and Molecular Evidence ofFrontiers in veterinary science · 2022Article
- Vector-borne pathogens in dogs of different regions of Iran and Pakistan.Parasitology research · 2021Article
- Sero-detection of Coxiella burnetii infection in cattle, sheep and goats in selected regions of Nepal.Veterinary medicine and science · 2021Article
- Systematic Review of Ticks and Tick-Borne Pathogens of Small Ruminants in Pakistan.Pathogens (Basel, Switzerland) · 2020Review
- Epidemiology and Associated Risk Factors for Brucellosis in Small Ruminants Kept at Institutional Livestock Farms in Punjab, Pakistan.Frontiers in veterinary science · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coxiellosis is a zoonotic disease caused by the obligate intracellular bacterium
Indexed as
Identifiers
What OpenQuestion holds
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.