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Eugenia Afocha E, Abiodun Iwalokun B, Deji-Agboola MA, Ayorinde James B, Abayomi Banjo T, Adu F, Chukwujekwu Ezechi O, Adegbola R, Lawal Salako B. Prevalence and spatiotemporal distribution of rotavirus diarrhea among children younger than five years old in Lagos, Nigeria. J Immunoassay Immunochem 2023; 44:117-132. [PMID: 36576163 DOI: 10.1080/15321819.2022.2159430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Data on spatiotemporal distribution of rotavirus diarrhea are limited in many endemic settings. This study determined the prevalence and seasonal distribution of rotavirus among Nigerian children with diarrhea. Here, a total of 406 fecal samples were collected from patients attending six health facilities in Lagos between January - December 2019. Socio-demographic data of each enrolled child were collected. Rotavirus VP6 antigen was detected by enzyme-linked immunoassay (ELISA) and confirmation by VP7 gene detection by reverse transcription polymerase-chain reaction. The overall rotavirus diarrhea prevalence was 16.3% by ELISA with children above 2 years having 29.2% of this prevalence and higher occurrence in females (59.1%) than males (40.9%) (P < .05). Rotavirus diarrhea diagnosis using RT-PCR showed 100% concordance with ELISA. Cases of rotavirus diarrhea were detected from March to July and from September to November with the highest number of cases detected in May and June (22.7% each), followed by July (21.2%). The prevalence of rotavirus diarrhea remains high in Lagos with an emerging higher disease activity in children above 2. A different rotavirus transmission dynamics compared to previous studies from Nigeria and other African countries was found. VP6 ELISA may reliably be used for continuous rotavirus surveillance in Nigeria.
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Affiliation(s)
- Ebelechukwu Eugenia Afocha
- Medical Microbiology & Parasitology Department, Olabisi Onabanjo University, Nigeria.,Centre for Infectious Disease Research, Microbiology Department, Nigerian Institute of Medical Research, Nigeria
| | - Bamidele Abiodun Iwalokun
- Medical Microbiology & Parasitology Department, Olabisi Onabanjo University, Nigeria.,Molecular Biology & Biotechnology Department, Nigerian Institute of Medical Research, Nigeria.,Central Research Laboratory Department, Nigerian Institute of Medical Research, Nigeria
| | | | | | - Taiwo Abayomi Banjo
- Medical Microbiology & Parasitology Department, Olabisi Onabanjo University, Nigeria
| | - Festus Adu
- All Saints University Medical School, Cnr Hillborough and Great George Street, Common Wealth of Dominica, West Indies
| | | | - Richard Adegbola
- Centre for Infectious Disease Research, Microbiology Department, Nigerian Institute of Medical Research, Nigeria
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Qin YF, Gong QL, Zhang M, Sun ZY, Wang W, Wei XY, Chen Y, Zhang Y, Zhao Q, Jiang J. Prevalence of bovine rotavirus among Bovidae in China during 1984-2021: A systematic review and meta-analysis. Microb Pathog 2022; 169:105661. [PMID: 35817280 DOI: 10.1016/j.micpath.2022.105661] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Revised: 06/20/2022] [Accepted: 06/26/2022] [Indexed: 11/28/2022]
Abstract
Bovine rotavirus (BRV) is a potential zoonotic intestinal pathogen that brings a serious threat to calf health, and has resulted in huge economic losses to China's breeding industry. Here, a systematic review and meta-analysis was conducted to estimate the prevalence of BRV among Bovidae from 1984 to 2021 in China. A total of 64 publications on BRV investigation in China were screened from the databases Chinese National Knowledge Infrastructure (CNKI), Wan Fang Database, Technology Periodical Database (VIP), PubMed, and ScienceDirect. The random-effect model was used to calculate the pooled prevalence of BRV, and the analyzed data were derived from 25 provinces in China. The estimated pooled prevalence of BRV in China was 35.7% (8176/17,292). In addition, the prevalence of BRV in Southwestern China (77.1%; 2924/3600) was significantly higher than that in other regions of China. Regarding geographic and climatic factors, the prevalence of BRV in the subgroup of latitude 30-35° (76.8%; 3303/4659) was significantly higher than that in the subgroup of latitude less than 30° (37.0%; 485/1275) or more than 35° (32.6%; 1703/5722), while the prevalence of BRV in the subgroup of longitude 100-105° (75.4%; 2513/3849) was significantly higher than that in the subgroup of longitude less than 100° (32.6%; 619/2255) or more than 105° (48.9%; 2359/5552). Rainfall was positively correlated with the prevalence of BRV, whereas temperature was negatively correlated with the positive rate of BRV (P < 0.05). Our data showed that the prevalence of BRV was strongly correlated with geographical and climatic conditions. Thus, we recommend that the corresponding prevention and control programs should be formulated according to different geographical conditions. The strengthening of BRV surveillance in areas with high altitude, low temperature, and heavy rainfall may contribute to the decrease of the incidence of BRV infection among Bovidae herds in China.
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Affiliation(s)
- Yi-Feng Qin
- College of Life Science, Changchun Sci-Tech University, Shuangyang, Jilin Province, 130600, China; College of Veterinary Medicine, Jilin Agricultural University, Changchun, Jilin Province, 130118, China
| | - Qing-Long Gong
- College of Veterinary Medicine, Jilin Agricultural University, Changchun, Jilin Province, 130118, China
| | - Miao Zhang
- College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, 266109, China
| | - Zheng-Yao Sun
- College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, 266109, China
| | - Wei Wang
- College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang Province, 163319, China
| | - Xin-Yu Wei
- College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang Province, 163319, China
| | - Yu Chen
- College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang Province, 163319, China
| | - Yuan Zhang
- College of Veterinary Medicine, Jilin Agricultural University, Changchun, Jilin Province, 130118, China.
| | - Quan Zhao
- College of Life Science, Changchun Sci-Tech University, Shuangyang, Jilin Province, 130600, China.
| | - Jing Jiang
- College of Life Science, Changchun Sci-Tech University, Shuangyang, Jilin Province, 130600, China.
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Simo-Fouda F, Ninove L, Luciani L, Zandotti C, Gazin C, Charrel RN, Nougairède A. Evaluation of the Ridaquick Rotavirus/Adenovirus Immuno-Chromatographic Assay in Real-Life Situation. Pathogens 2021; 10:pathogens10091213. [PMID: 34578247 PMCID: PMC8472841 DOI: 10.3390/pathogens10091213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 09/10/2021] [Accepted: 09/15/2021] [Indexed: 11/24/2022] Open
Abstract
Immunochromatographic tests (ICT) are diagnostics tools providing rapid results without the need for specialized equipment. Our aim was to evaluate retrospectively the rotavirus and adenovirus ICT routinely used in the virology laboratory serving the University Hospital of Marseille, France. From January 2017 to March 2020, 715 stool specimens from patients were screened using the Ridaquick Rotavirus/Adenovirus Combi ICT (RR/AC ICT) and a commercially available multiplex PCR detection kit. Rotavirus was detected in 9.2% of specimens by PCR and 7.7% of specimens by RR/AC ICT while adenovirus was detected in 8.5% of specimens by PCR and 2.4% of specimens by RR/AC ICT. The RR/AC ICT parameters for rotavirus were 75.8% sensitivity, 99.2% specificity, 90.9% positive predictive value (PPV) and 97.6% negative predictive value (NPV). The RR/AC ICT parameters for adenovirus were 6.6% sensitivity, 98.0% specificity, 23.5% PPV and 91.8% NPV. While the ICT test may be suitable for rotavirus detection, a PCR–based assay is better adapted for adenovirus detection in stools.
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Affiliation(s)
- Francis Simo-Fouda
- Unité des Virus Emergents (UVE: Aix Marseille Univ, IRD 190, INSERM 1207, IHU Méditerranée Infection), 13005 Marseille, France; (F.S.-F.); (L.N.); (L.L.); (C.Z.); (R.N.C.)
| | - Laetitia Ninove
- Unité des Virus Emergents (UVE: Aix Marseille Univ, IRD 190, INSERM 1207, IHU Méditerranée Infection), 13005 Marseille, France; (F.S.-F.); (L.N.); (L.L.); (C.Z.); (R.N.C.)
| | - Léa Luciani
- Unité des Virus Emergents (UVE: Aix Marseille Univ, IRD 190, INSERM 1207, IHU Méditerranée Infection), 13005 Marseille, France; (F.S.-F.); (L.N.); (L.L.); (C.Z.); (R.N.C.)
| | - Christine Zandotti
- Unité des Virus Emergents (UVE: Aix Marseille Univ, IRD 190, INSERM 1207, IHU Méditerranée Infection), 13005 Marseille, France; (F.S.-F.); (L.N.); (L.L.); (C.Z.); (R.N.C.)
| | - Céline Gazin
- Institut Hospitalo-Universitaire (IHU) Méditerranée Infection, 13005 Marseille, France;
| | - Remi N. Charrel
- Unité des Virus Emergents (UVE: Aix Marseille Univ, IRD 190, INSERM 1207, IHU Méditerranée Infection), 13005 Marseille, France; (F.S.-F.); (L.N.); (L.L.); (C.Z.); (R.N.C.)
| | - Antoine Nougairède
- Unité des Virus Emergents (UVE: Aix Marseille Univ, IRD 190, INSERM 1207, IHU Méditerranée Infection), 13005 Marseille, France; (F.S.-F.); (L.N.); (L.L.); (C.Z.); (R.N.C.)
- Correspondence:
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