Evidence map›Paper›PMID 38282733›Full record

ArticleFrontiers in microbiology2023

Sheep and goat pathogen database: a pathogen data integration and analysis database of sheep and goat infectious diseases.

Haoju Pan, Zizhuo Jiao, Hong Li, Suya Li, Le Xu, Shiyuan Li, Yong Meng, Yujing Fu, Taoyu Chen, Qiaoling Chen and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Haoju PanHainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, Animal Genetic Engineering Key Laboratory of Haikou, School of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
Zizhuo JiaoHainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, Animal Genetic Engineering Key Laboratory of Haikou, School of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
Hong LiHainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, Animal Genetic Engineering Key Laboratory of Haikou, School of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
Suya LiHainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, Animal Genetic Engineering Key Laboratory of Haikou, School of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
Le XuHainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, Animal Genetic Engineering Key Laboratory of Haikou, School of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
Shiyuan LiHainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, Animal Genetic Engineering Key Laboratory of Haikou, School of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
Yong MengHainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, Animal Genetic Engineering Key Laboratory of Haikou, School of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
Yujing FuHainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, Animal Genetic Engineering Key Laboratory of Haikou, School of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
Taoyu ChenHainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, Animal Genetic Engineering Key Laboratory of Haikou, School of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
Qiaoling ChenHainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, Animal Genetic Engineering Key Laboratory of Haikou, School of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
Si ChenHainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, Animal Genetic Engineering Key Laboratory of Haikou, School of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
Li DuHainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, Animal Genetic Engineering Key Laboratory of Haikou, School of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
Churiga ManHainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, Animal Genetic Engineering Key Laboratory of Haikou, School of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
Fengyang WangHainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, Animal Genetic Engineering Key Laboratory of Haikou, School of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
Hongyan GaoHainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, Animal Genetic Engineering Key Laboratory of Haikou, School of Tropical Agriculture and Forestry, Hainan University, Haikou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of infectious diseases in sheep and goats has a significant impact on the development of the sheep and goat industry and public health security. The identification and analysis of pathogens are crucial for infectious disease research; however, existing databases pay little attention to sheep and goat diseases, and pathogen data are relatively scattered. Therefore, the effective integration, analysis and visualization of these data will help us conduct in-depth research on sheep and goat infectious diseases and promote the formulation of disease prevention and control strategies. This article considered the pathogens of 44 infectious diseases in sheep and goats as the main research objects and collected and downloaded relevant scientific literature, pathogen genomes, pathogen transcriptomes, pathogen occurrence records, and other data. The C# programming language and an SQL Server database were used to construct and realize the functions of the Sheep and Goat Pathogen Database (SGPD) within a B/S architecture based on the ASP.NET platform. The SGPD mainly provides an integrated platform for sheep and goat pathogen data retrieval, auxiliary analysis, and user upload, including several functionalities: (1) a Disease Introduction module that queries basic information regarding the 44 recorded sheep and goat infectious diseases, such as epidemiology, clinical characteristics, diagnostic criteria, and prevention and control measures; (2) an Omics Information module that allows users to query and download the genome and transcriptome data related to the pathogens of sheep and goat infectious disease, and provide sequence alignment functionality; (3) a Pathogen Structure module that enables users to view electron micrographs of pathogen structure and tissue sections related to sheep and goat disease from publicly published research; (4) a Literature Search module based on the "Pathogen Dictionary" search strategy that facilitates searches for published research related to pathogens of infectious disease; (5) a Science Popularization module that allows users to view popular science materials related to sheep and goat infectious diseases; and (6) a Public Health module that allows users to query the risk factors of zoonotic disease transmission and the corresponding related literature, and realize the visualization of pathogen distribution. The SGPD is a specialized sheep and goat pathogen information database that provides comprehensive resources and technical support for sheep and goat infectious disease research, prevention, and control.

Indexed as

databasepathogenpublic healthresource integrationsheep and goat infectious disease

Identifiers

PMID38282733
PMCPMC10811017

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.