Dongjia Lu

ORCID: 0009-0006-0232-1846
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About
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Research Areas
  • Gut microbiota and health
  • Clostridium difficile and Clostridium perfringens research
  • Data-Driven Disease Surveillance
  • Liver Disease Diagnosis and Treatment
  • Anomaly Detection Techniques and Applications
  • COVID-19 Clinical Research Studies
  • Viral Infections and Vectors
  • COVID-19 epidemiological studies
  • Colorectal Cancer Screening and Detection
  • Diet and metabolism studies
  • Tryptophan and brain disorders
  • Yersinia bacterium, plague, ectoparasites research

Guangxi Medical University
2022-2024

Guangxi University
2023

Background Non-alcoholic fatty liver disease (NAFLD) is the most prevalent cause of chronic worldwide, and gut microbes are associated with development progression NAFLD. Despite numerous studies exploring changes in NAFLD, there was no consistent pattern changes. Method We retrieved on human fecal microbiota sequenced by 16S rRNA gene amplification NAFLD from NCBI database up to April 2023, re-analyzed them using bioinformatic methods. Results finally screened 12 relevant related which...

10.3389/fmicb.2023.1257903 article EN cc-by Frontiers in Microbiology 2024-01-05

Internet-derived data and the autoregressive integrated moving average (ARIMA) ARIMA with explanatory variable (ARIMAX) models are extensively used for infectious disease surveillance. However, effectiveness of Baidu search index (BSI) in predicting incidence scarlet fever remains uncertain.Our objective was to investigate whether a low-cost BSI monitoring system could potentially function as valuable complement traditional surveillance China.ARIMA ARIMAX were developed predict China using...

10.2196/49400 article EN cc-by Journal of Medical Internet Research 2023-10-30

Objective: Identifying the gut microbiota associated with host immunity in AIDS stage. Design: We performed a cross-sectional study. Methods: recruited people HIV (PWH) or non-AIDS stage and evaluated their metabolites by using 16S ribosomal RNA (rRNA) sequencing liquid chromatography–mass spectrometry (LC-MS). Machine learning models were used to analyze correlations between key bacteria CD4 + T cell count, activation, bacterial translocation, metabolites, KEGG functional pathways. Results:...

10.1097/qad.0000000000003812 article EN cc-by-nc-nd AIDS 2023-12-07

<sec> <title>BACKGROUND</title> Internet-derived data and the autoregressive integrated moving average (ARIMA) ARIMA with explanatory variable (ARIMAX) models are extensively used for infectious disease surveillance. However, effectiveness of Baidu search index (BSI) in predicting incidence scarlet fever remains uncertain. </sec> <title>OBJECTIVE</title> Our objective was to investigate whether a low-cost BSI monitoring system could potentially function as valuable complement traditional...

10.2196/preprints.49400 preprint EN 2023-05-27

Background: It is controversial whether colorectal cancer (CRC) impacts intestinal microbial alpha (α) diversity, and although some studies have suggested an association between microbiota risk, few been used as a marker for CRC diagnosis. Methods: By searching PubMed BioProject databases, we reanalysed published raw 16S ribosomal RNA (rRNA) gene sequences metadata. We calculated α-diversity indices, screened the differentially enriched genera species shared among different studies,...

10.22541/au.166911152.24357479/v1 preprint EN Authorea (Authorea) 2022-11-22
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