start-ver=1.4 cd-journal=joma no-vol=141 cd-vols= no-issue= article-no= start-page=106955 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2024 dt-pub=202404 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Vibriosis in South Asia: A systematic review and meta-analysis en-subtitle= kn-subtitle= en-abstract= kn-abstract=Objectives: South Asia remains home to foodborne diseases caused by the Vibrio species. We aimed to compile and update information on the epidemiology of vibriosis in South Asia.
Methods: For this systematic review and meta-analysis, we searched PubMed, Web of Science, EMBASE, and Google Scholar for studies related to vibriosis in South Asia published up to May 2023. A random-effects meta-analysis was used to estimate the pooled isolation rate of non-cholera-causing Vibrio species.
Results: In total, 38 studies were included. Seven of these were case reports and 22 were included in the meta-analysis. The reported vibriosis cases were caused by non-O1/non-O139 V. cholerae, V. parahaemolyticus, V. fluvialis, and V. vulnificus. The overall pooled isolation rate was 4.0% (95% confidence interval [CI] 3.0-5.0%) in patients with diarrhea. Heterogeneity was high (I-2 = 98.0%). The isolation rate of non-O1/non-O139 V. cholerae, V. parahaemolyticus, and V. fluvialis were 9.0 (95% CI 7.0-10.0%), 1.0 (95% CI 1.0-2.0%), and 2.0 (95% CI: 1.0-3.0%), respectively. Regarding V. parahaemolyticus, O3:K6 was the most frequently isolated serotype. Cases peaked during summer. Several studies reported antibiotic-resistant strains and those harboring extended-spectrum beta-lactamases genes.
Conclusions: This study demonstrates a high burden of infections caused by non-cholera-causing Vibrio species in South Asia. en-copyright= kn-copyright= en-aut-name=MuzemboBasilua Andre en-aut-sei=Muzembo en-aut-mei=Basilua Andre kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=KitaharaKei en-aut-sei=Kitahara en-aut-mei=Kei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=OhnoAyumu en-aut-sei=Ohno en-aut-mei=Ayumu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=KhatiwadaJanuka en-aut-sei=Khatiwada en-aut-mei=Januka kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=DuttaShanta en-aut-sei=Dutta en-aut-mei=Shanta kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=MiyoshiShin-Ichi en-aut-sei=Miyoshi en-aut-mei=Shin-Ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= affil-num=1 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=2 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=3 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=4 en-affil=Social Work Institute kn-affil= affil-num=5 en-affil=Division of Bacteriology, ICMR-National Institute of Cholera and Enteric Diseases kn-affil= affil-num=6 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= en-keyword=Vibrio parahaemolyticus kn-keyword=Vibrio parahaemolyticus en-keyword=Vibrio vulnificus kn-keyword=Vibrio vulnificus en-keyword=Vibrio mimicus kn-keyword=Vibrio mimicus en-keyword=Vibrio fluvialis kn-keyword=Vibrio fluvialis en-keyword=Seafood kn-keyword=Seafood en-keyword=Gastroenteritis kn-keyword=Gastroenteritis END start-ver=1.4 cd-journal=joma no-vol=12 cd-vols= no-issue=12 article-no= start-page= end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2023 dt-pub=20231214 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Complete genomic sequence of Vibrio fluvialis strain IDH5335 isolated from a patient with diarrhea in Kolkata, India en-subtitle= kn-subtitle= en-abstract= kn-abstract=We isolated a Vibrio fluvialis strain (IDH5335) from a stool sample collected from a patient with diarrhea. In this announcement, we report the complete genomic sequence of this organism, which was obtained by combining Illumina and Oxford Nanopore sequencing data. en-copyright= kn-copyright= en-aut-name=ChowdhuryGoutam en-aut-sei=Chowdhury en-aut-mei=Goutam kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=KitaharaKei en-aut-sei=Kitahara en-aut-mei=Kei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=TaniguchiMakoto en-aut-sei=Taniguchi en-aut-mei=Makoto kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=UesakaKazuma en-aut-sei=Uesaka en-aut-mei=Kazuma kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=MuzemboBasilua Andre en-aut-sei=Muzembo en-aut-mei=Basilua Andre kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=MitraDebmalya en-aut-sei=Mitra en-aut-mei=Debmalya kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=OhnoAyumu en-aut-sei=Ohno en-aut-mei=Ayumu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=RamamurthyThandavarayan en-aut-sei=Ramamurthy en-aut-mei=Thandavarayan kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=DuttaShanta en-aut-sei=Dutta en-aut-mei=Shanta kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=MiyoshiShin-ichi en-aut-sei=Miyoshi en-aut-mei=Shin-ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= en-aut-name=MukhopadhyayAsish Kumar en-aut-sei=Mukhopadhyay en-aut-mei=Asish Kumar kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=11 ORCID= affil-num=1 en-affil=Collaborative Research Center of Okayama University for Infectious Diseases in India at ICMR-NICED kn-affil= affil-num=2 en-affil=Collaborative Research Center of Okayama University for Infectious Diseases in India at ICMR-NICED kn-affil= affil-num=3 en-affil=Oral Microbiome Center, Taniguchi Dental Clinic kn-affil= affil-num=4 en-affil=Graduate School of Bioagricultural Sciences, Nagoya University kn-affil= affil-num=5 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=6 en-affil=Collaborative Research Center of Okayama University for Infectious Diseases in India at ICMR-NICED kn-affil= affil-num=7 en-affil=Collaborative Research Center of Okayama University for Infectious Diseases in India at ICMR-NICED kn-affil= affil-num=8 en-affil=ICMR-National Institute of Cholera and Enteric Diseases kn-affil= affil-num=9 en-affil=ICMR-National Institute of Cholera and Enteric Diseases kn-affil= affil-num=10 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=11 en-affil=ICMR-National Institute of Cholera and Enteric Diseases kn-affil= en-keyword=Vibrio fluvialis kn-keyword=Vibrio fluvialis en-keyword=diarrhea kn-keyword=diarrhea en-keyword=bacteria kn-keyword=bacteria en-keyword=genome kn-keyword=genome END start-ver=1.4 cd-journal=joma no-vol=205 cd-vols= no-issue=10 article-no= start-page=346 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2023 dt-pub=20230929 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Flavobacterium okayamense sp. nov. isolated from surface seawater en-subtitle= kn-subtitle= en-abstract= kn-abstract=Strain KK2020170T, a Gram-stain negative, yellow colony-forming bacterium, was isolated from surface seawater sampled in Kojima Bay, Okayama, Japan. Phylogenetic analysis based on the 16S rRNA gene revealed that strain KK2020170T belongs to the genus Flavobacterium, with Flavobacterium haoranii LQY-7T (98.1% similarity) being its closest relative, followed by Flavobacterium sediminis MEBiC07310T (96.9%) and Flavobacterium urocaniciphilum YIT 12746T (96.0%). Whole-genome shotgun sequencing showed that strain KK2020170T, when paralleled with F. haoranii LQY-7 T, had 81.3% average nucleotide identity, and 24.6% in silico DNA–DNA hybridization values, respectively. The DNA G + C content of strain KK2020170T was 31.1 mol%. The most abundant fatty acids (> 10%) of strain KK2020170T were iso-C15: 0, iso-C17: 0 3-OH and iso-C15: 1 G. The dominant respiratory quinone of the strain was menaquinone MK-6. Based on the phylogenetic and phenotypic analysis results, we propose that strain KK2020170T represents a novel species, for which the name Flavobacterium okayamense sp. nov. has been proposed. The type strain is KK2020170T (= ATCC TSD-280 T = NBRC 115344 T). en-copyright= kn-copyright= en-aut-name=KitaharaKei en-aut-sei=Kitahara en-aut-mei=Kei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=MuzemboBasilua Andre en-aut-sei=Muzembo en-aut-mei=Basilua Andre kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=MorohoshiSho en-aut-sei=Morohoshi en-aut-mei=Sho kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=KunihiroTadao en-aut-sei=Kunihiro en-aut-mei=Tadao kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=TazatoNozomi en-aut-sei=Tazato en-aut-mei=Nozomi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=OhnoAyumu en-aut-sei=Ohno en-aut-mei=Ayumu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=UesakaKazuma en-aut-sei=Uesaka en-aut-mei=Kazuma kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=TaniguchiMakoto en-aut-sei=Taniguchi en-aut-mei=Makoto kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=MiyoshiShin-ichi en-aut-sei=Miyoshi en-aut-mei=Shin-ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= affil-num=1 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=2 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=3 en-affil=TechnoSuruga Laboratory Co., Ltd kn-affil= affil-num=4 en-affil=TechnoSuruga Laboratory Co., Ltd kn-affil= affil-num=5 en-affil=TechnoSuruga Laboratory Co., Ltd kn-affil= affil-num=6 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=7 en-affil=Graduate School of Bioagricultural Sciences, Nagoya University kn-affil= affil-num=8 en-affil=Oral Microbiome Center, Taniguchi Dental Clinic kn-affil= affil-num=9 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= en-keyword=Bacteroidota kn-keyword=Bacteroidota en-keyword=Flavobacterium kn-keyword=Flavobacterium en-keyword=New taxa kn-keyword=New taxa en-keyword=Sea water kn-keyword=Sea water END start-ver=1.4 cd-journal=joma no-vol=52 cd-vols= no-issue= article-no= start-page=102554 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2023 dt-pub=202304 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Shigellosis in Southeast Asia: A systematic review and meta-analysis en-subtitle= kn-subtitle= en-abstract= kn-abstract=Background: Southeast Asia is attractive for tourism. Unfortunately, travelers to this region are at risk of becoming infected with Shigella. We conducted a meta-analysis to provide updates on Shigella prevalence in Southeast Asia, along with their serogroups and serotypes.
Methods: We conducted a systematic search using PubMed, EMBASE, and Web of Science for peer-reviewed studies from 2000 to November 2022. We selected studies that detected Shigella in stools by culture or polymerase chain reaction (PCR). Two reviewers extracted the data using a standardized form and performed quality assessments using the Joanna Briggs Institute checklist. The random effects model was used to estimate the pooled prevalence of Shigella.
Results: During our search, we identified 4376 studies. 29 studies (from six Southeast Asian countries) were included in the systematic review, 21 each in the meta-analysis of the prevalence of Shigella (Sample size: 109545) and the prevalence of Shigella serogroups.
The pooled prevalence of Shigella was 4% (95% CI: 4–5%) among diarrhea cases. Shigella sonnei was the most abundant serogroup in Thailand (74%) and Vietnam (57%), whereas Shigella flexneri was dominant in Indonesia (72%) and Cambodia (71%). Shigella dysenteriae and Shigella boydii were uncommon (pooled prevalence of 1% each). The pooled prevalence of Shigella was 5% (95% CI: 4–6%) in children aged <5 years. The pooled prevalence showed a decreasing trend comparing data collected between 2000–2013 (5%; 95% CI: 4–6%) and between 2014–2022 (3%; 95% CI: 2–4%). Shigella prevalence was 6% in studies that included participants with mixed pathogens versus 3% in those without. Shigella flexneri serotype 2a was the most frequently isolated (33%), followed by 3a (21%), 1b (10%), 2b (3%), and 6 (3%).
Conclusions: This study provides compelling evidence for the development of effective Shigella vaccines for residents of endemic regions and travellers to these areas. en-copyright= kn-copyright= en-aut-name=MuzemboBasilua Andre en-aut-sei=Muzembo en-aut-mei=Basilua Andre kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=KitaharaKei en-aut-sei=Kitahara en-aut-mei=Kei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=MitraDebmalya en-aut-sei=Mitra en-aut-mei=Debmalya kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=OhnoAyumu en-aut-sei=Ohno en-aut-mei=Ayumu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=KhatiwadaJanuka en-aut-sei=Khatiwada en-aut-mei=Januka kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=DuttaShanta en-aut-sei=Dutta en-aut-mei=Shanta kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=MiyoshiShin-Ichi en-aut-sei=Miyoshi en-aut-mei=Shin-Ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= affil-num=1 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=2 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=3 en-affil=Collaborative Research Centre of Okayama University for Infectious Diseases in India at ICMR-NICED kn-affil= affil-num=4 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=5 en-affil=Social Work Institute kn-affil= affil-num=6 en-affil=Division of Bacteriology, ICMR-National Institute of Cholera and Enteric Diseases kn-affil= affil-num=7 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= en-keyword=Shigella vaccine kn-keyword=Shigella vaccine en-keyword=Shigella sonnei kn-keyword=Shigella sonnei en-keyword=Shigella flexneri kn-keyword=Shigella flexneri en-keyword=Diarrhea kn-keyword=Diarrhea en-keyword=Dysentery kn-keyword=Dysentery en-keyword=Shiga toxin kn-keyword=Shiga toxin en-keyword=Travel kn-keyword=Travel END start-ver=1.4 cd-journal=joma no-vol=8 cd-vols= no-issue=1 article-no= start-page=22 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2022 dt-pub=20221001 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Colonization with extended-spectrum beta-lactamase-producing Escherichia coli and traveler's diarrhea attack rates among travelers to India: a systematic review and meta-analysis en-subtitle= kn-subtitle= en-abstract= kn-abstract=Background India is an attractive destination for travelers. Unfortunately, numerous reports exist on traveler's diarrhea (TD) and fecal colonization with extended-spectrum beta-lactamase-producing Escherichia coli (ESBL-EC) among international travelers visiting India. Here, we systematically reviewed studies published on the acquisition of ESBL-EC and TD attack rates among international visitors to India. Methods Design: Systematic review and meta-analysis. A systematic search was performed using Google Scholar, PubMed, EMBASE, Web of Science, and gray literature from 2000 to December 2021, for studies containing data for ESBL-EC acquisition or TD experience related to a trip to India. Random effects models were used to compute the prevalence of ESBL-EC acquisition and TD attack. Results The literature search yielded a total of 5023 records. Of these, 31 met our inclusion criteria for systematic review and only 17 could be meta-analyzed (9 for TD, and 8 for ESBL-EC). The overall pooled attack rate of TD was 39% (95% confidence interval, CI: 25-53%). In studies where travelers' memory was used to diagnose TD, the pooled attack rate of TD was slightly higher (42%, 95% CI: 21-64%) compared to those where TD was objectively documented (33%, 95% CI: 17-49%). There were significant risks to be colonized with ESBL-EC among the travelers who experienced TD. The pooled rate of ESBL-EC colonization was 72% (CI: 67-78%). Most ESBL-EC produced CTX-M-15 enzyme. Furthermore, most of the travelers who acquired ESBL-EC were from highly industrialized countries recruited from travel clinics: Canada (n = 80), Germany (n = 69), Netherlands (n = 20), Sweden (n = 18), Japan (n = 10), Finland (n = 8), USA (n = 7), Spain (n = 5), and Denmark (n = 3). Conclusions TD pooled attack rate and ESBL-EC acquisition among international travelers visiting India were high in this study. However, we cannot make generalizations based upon this TD pooled attack rate for the current situation, due to a lack of current data. Our study highlights that travelers should be advised on TD to ensure that they do not disregard the risk of contracting TD and be better prepared as a result. It also illustrates the importance of international travel in acquiring antibiotic-resistant Escherichia coli. en-copyright= kn-copyright= en-aut-name=MuzemboBasilua Andre en-aut-sei=Muzembo en-aut-mei=Basilua Andre kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=KitaharaKei en-aut-sei=Kitahara en-aut-mei=Kei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=OhnoAyumu en-aut-sei=Ohno en-aut-mei=Ayumu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=OkamotoKeinosuke en-aut-sei=Okamoto en-aut-mei=Keinosuke kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=MiyoshiShin-Ichi en-aut-sei=Miyoshi en-aut-mei=Shin-Ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= affil-num=1 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=2 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=3 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=4 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=5 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= en-keyword=ESBL-EC kn-keyword=ESBL-EC en-keyword=Traveler's diarrhea kn-keyword=Traveler's diarrhea en-keyword=International travelers kn-keyword=International travelers en-keyword=India kn-keyword=India en-keyword=Meta-analysis kn-keyword=Meta-analysis END start-ver=1.4 cd-journal=joma no-vol=11 cd-vols= no-issue=11 article-no= start-page=2095 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2021 dt-pub=20211113 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Cholera Rapid Diagnostic Tests for the Detection of Vibrio cholerae O1: An Updated Meta-Analysis en-subtitle= kn-subtitle= en-abstract= kn-abstract=The rapid diagnosis of cholera contributes to adequate outbreak management. This meta-analysis assesses the diagnostic accuracy of cholera rapid tests (RDTs) to detect Vibrio cholerae O1. Methods: Systematic review and meta-analysis. We searched four databases (Medline, EMBASE, Google Scholar, and Web of Science up to 8 September 2021) for studies that evaluated cholera RDTs for the detection of V. cholerae O1 compared with either stool culture or polymerase chain reaction (PCR). We assessed the studies' quality using the QUADAS-2 criteria. In addition, in this update, GRADE approach was used to rate the overall certainty of the evidence. We performed a bivariate random-effects meta-analysis to calculate the pooled sensitivity and specificity of cholera RDTs. Results: Overall, 20 studies were included in this meta-analysis. Studies were from Africa (n = 11), Asia (n = 7), and America (Haiti; n = 2). They evaluated eight RDTs (Crystal VC-O1, Crystal VC, Cholkit, Institut Pasteur cholera dipstick, SD Bioline, Artron, Cholera Smart O1, and Smart II Cholera O1). Using direct specimen testing, sensitivity and specificity of RDTs were 90% (95% CI, 86 to 93) and 86% (95% CI, 81 to 90), respectively. Cholera Sensitivity was higher in studies conducted in Africa [92% (95% CI, 89 to 94)] compared with Asia [82% (95% CI, 77 to 87)]. However, specificity [83% (95% CI, 71 to 91)] was lower in Africa compared with Asia [90% (95% CI, 84 to 94)]. GRADE quality of evidence was estimated as moderate. Conclusions: Against culture or PCR, current cholera RDTs have moderate sensitivity and specificity for detecting Vibrio cholerae O1. en-copyright= kn-copyright= en-aut-name=MuzemboBasilua Andre en-aut-sei=Muzembo en-aut-mei=Basilua Andre kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=KitaharaKei en-aut-sei=Kitahara en-aut-mei=Kei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=OhnoAyumu en-aut-sei=Ohno en-aut-mei=Ayumu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=DebnathAnusuya en-aut-sei=Debnath en-aut-mei=Anusuya kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=OkamotoKeinosuke en-aut-sei=Okamoto en-aut-mei=Keinosuke kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=MiyoshiShin-Ichi en-aut-sei=Miyoshi en-aut-mei=Shin-Ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= affil-num=1 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=2 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=3 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=4 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=5 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=6 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= en-keyword=rapid test kn-keyword=rapid test en-keyword=cholera kn-keyword=cholera en-keyword=Vibrio cholera O1 kn-keyword=Vibrio cholera O1 en-keyword=sensitivity kn-keyword=sensitivity en-keyword=specificity kn-keyword=specificity en-keyword=accuracy kn-keyword=accuracy en-keyword=update kn-keyword=update END start-ver=1.4 cd-journal=joma no-vol=19 cd-vols= no-issue=9 article-no= start-page=5738 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2022 dt-pub=20220508 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Cholera Outbreaks in India, 2011-2020: A Systematic Review en-subtitle= kn-subtitle= en-abstract= kn-abstract=Fecal contamination of water sources and open defecation have been linked to cholera outbreaks in India. However, a systematic review on the drivers responsible for these outbreaks has yet to be published. Here, we systematically review the published literature on cholera outbreaks in India between 2011 and 2020. We searched studies in English in three databases (MEDLINE, EMBASE, and Web of Science) and the Integrated Disease Surveillance Program that tracks cholera outbreaks throughout India. Two authors independently extracted data and assessed the quality of the included studies. Quantitative data on the modes of transmission reviewed in this study were assessed for any change over time between 2011-2015 and 2016-2020. Our search retrieved 10823 records initially, out of which 81 full-text studies were assessed for eligibility. Among these 81 studies, 20 were eligible for inclusion in this review. There were 565 reported outbreaks between 2011 and 2020 that led to 45,759 cases and 263 deaths. Outbreaks occurred throughout the year; however, they exploded with monsoons (June through September). In Tamil Nadu, a typical peak of cholera outbreaks was observed from December to January. Seventy-two percent (33,089/45,759) of outbreak-related cases were reported in five states, namely Maharashtra, West Bengal, Punjab, Karnataka, and Madhya Pradesh. Analysis of these outbreaks highlighted the main drivers of cholera including contaminated drinking water and food, inadequate sanitation and hygiene (including open defecation), and direct contact between households. The comparison between 2011-2015 and 2016-2020 showed a decreasing trend in the outbreaks that arose due to damaged water pipelines. Many Indians still struggle with open defecation, sanitation, and clean water access. These issues should be addressed critically. In addition, it is essential to interrupt cholera short-cycle transmission (mediated by households, stored drinking water and foodstuffs) during an outbreak. As cholera is associated with deprivation, socio-economic development is the only long-term solution. en-copyright= kn-copyright= en-aut-name=MuzemboBasilua Andre en-aut-sei=Muzembo en-aut-mei=Basilua Andre kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=KitaharaKei en-aut-sei=Kitahara en-aut-mei=Kei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=DebnathAnusuya en-aut-sei=Debnath en-aut-mei=Anusuya kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=OhnoAyumu en-aut-sei=Ohno en-aut-mei=Ayumu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=OkamotoKeinosuke en-aut-sei=Okamoto en-aut-mei=Keinosuke kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=MiyoshiShin-Ichi en-aut-sei=Miyoshi en-aut-mei=Shin-Ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= affil-num=1 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=2 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=3 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=4 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=5 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=6 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= en-keyword=cholera kn-keyword=cholera en-keyword=outbreak kn-keyword=outbreak en-keyword=water supply kn-keyword=water supply en-keyword=open defecation kn-keyword=open defecation en-keyword=sewage kn-keyword=sewage en-keyword=household kn-keyword=household en-keyword=food kn-keyword=food en-keyword=close contact kn-keyword=close contact en-keyword=behavioral changes kn-keyword=behavioral changes en-keyword=India kn-keyword=India END start-ver=1.4 cd-journal=joma no-vol=19 cd-vols= no-issue=8 article-no= start-page=4714 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2022 dt-pub=20220413 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Misconceptions and Rumors about Ebola Virus Disease in Sub-Saharan Africa: A Systematic Review en-subtitle= kn-subtitle= en-abstract= kn-abstract=We sought to summarize knowledge, misconceptions, beliefs, and practices about Ebola that might impede the control of Ebola outbreaks in Africa. We searched Medline, EMBASE, CINAHL, and Google Scholar (through May 2019) for publications reporting on knowledge, attitudes, and practices (KAP) related to Ebola in Africa. In total, 14 of 433 articles were included. Knowledge was evaluated in all 14 articles, and they all highlighted that there are misconceptions and risk behaviors during an Ebola outbreak. Some communities believed that Ebola spreads through the air, mosquito bites, malice from foreign doctors, witchcraft, and houseflies. Because patients believe that Ebola was caused by witchcraft, they sought help from traditional healers. Some people believed that Ebola could be prevented by bathing with salt or hot water. Burial practices where people touch Ebola-infected corpses were common, especially among Muslims. Discriminatory attitudes towards Ebola survivors or their families were also prevalent. Some Ebola survivors were not accepted back in their communities; the possibility of being ostracized from their neighborhoods was high and Ebola survivors had to lead a difficult social life. Most communities affected by Ebola need more comprehensive knowledge on Ebola. Efforts are needed to address misconceptions and risk behaviors surrounding Ebola for future outbreak preparedness in Africa. en-copyright= kn-copyright= en-aut-name=MuzemboBasilua Andre en-aut-sei=Muzembo en-aut-mei=Basilua Andre kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=NtontoloNgangu Patrick en-aut-sei=Ntontolo en-aut-mei=Ngangu Patrick kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=NgatuNlandu Roger en-aut-sei=Ngatu en-aut-mei=Nlandu Roger kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=KhatiwadaJanuka en-aut-sei=Khatiwada en-aut-mei=Januka kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=SuzukiTomoko en-aut-sei=Suzuki en-aut-mei=Tomoko kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=WadaKoji en-aut-sei=Wada en-aut-mei=Koji kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=KitaharaKei en-aut-sei=Kitahara en-aut-mei=Kei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=IkedaShunya en-aut-sei=Ikeda en-aut-mei=Shunya kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=MiyoshiShin-Ichi en-aut-sei=Miyoshi en-aut-mei=Shin-Ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= affil-num=1 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=2 en-affil=Department of Family Medicine and Primary Health, Protestant University of Congo kn-affil= affil-num=3 en-affil=Department of Public Health, Kagawa University Faculty of Medicine kn-affil= affil-num=4 en-affil=Social Work Institute kn-affil= affil-num=5 en-affil=Department of Public Health, School of Medicine, International University of Health and Welfare kn-affil= affil-num=6 en-affil=Department of Public Health, School of Medicine, International University of Health and Welfare kn-affil= affil-num=7 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=8 en-affil=Department of Public Health, School of Medicine, International University of Health and Welfare kn-affil= affil-num=9 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= en-keyword=Ebola kn-keyword=Ebola en-keyword=knowledge kn-keyword=knowledge en-keyword=attitudes kn-keyword=attitudes en-keyword=practices kn-keyword=practices en-keyword=beliefs kn-keyword=beliefs en-keyword=misperceptions kn-keyword=misperceptions en-keyword=rumors kn-keyword=rumors en-keyword=sub-Saharan Africa kn-keyword=sub-Saharan Africa END start-ver=1.4 cd-journal=joma no-vol=15 cd-vols= no-issue=10 article-no= start-page=e0241120 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2021 dt-pub=20211022 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Local perspectives on Ebola during its tenth outbreak in DR Congo: A nationwide qualitative study en-subtitle= kn-subtitle= en-abstract= kn-abstract=Background
The Democratic Republic of Congo (DR Congo) struggled to end the tenth outbreak of Ebola virus disease (Ebola), which appeared in North Kivu in 2018. It was reported that rumors were hampering the response effort. We sought to identify any rumors that could have influenced outbreak containment and affected prevention in unaffected areas of DR Congo.
Methods
We conducted a qualitative study in DR Congo over a period of 2 months (from August 1 to September 30, 2019) using in-depth interviews (IDIs) and focus group discussions (FGDs). The participants were recruited from five regional blocks using purposeful sampling. Both areas currently undergoing outbreaks and presently unaffected areas were included. We collected participants’ opinions, views, and beliefs about the Ebola virus. The IDIs (n = 60) were performed with key influencers (schoolteachers, religious and political leaders/analysts, and Ebola-frontline workers), following a semi-structured interview guide. FGDs (n = 10) were conducted with community members. Interviews were recorded with a digital voice recorder and simultaneous note-taking. Participant responses were categorized in terms of their themes and subthemes.
Results
We identified 3 high-level themes and 15 subthemes (given here in parentheses): (1) inadequate knowledge of the origin or cause of Ebola (belief in a metaphysical origin, insufficient awareness of Ebola transmission via an infected corpse, interpretation of disease as God’s punishment, belief in nosocomial Ebola, poor hygiene, and bathing in the Congo River). Ebola was interpreted as (2) a plot by multinational corporations (fears of genocide, Ebola understood as a biological weapon, concerns over organ trafficking, and Ebola was taken to be the result of business actions). Finally Ebola was rumored to be subject to (3) politicization (political authorities seen as ambivalent, exclusion of some community leaders from response efforts, distrust of political authorities, and distrust in the healthcare system).
Conclusions
Due to the skepticism against Ebola countermeasures, it is critical to understand widespread beliefs about the disease to implement actions that will be effective, including integrating response with the unmet needs of the population. en-copyright= kn-copyright= en-aut-name=MuzemboBasilua Andre en-aut-sei=Muzembo en-aut-mei=Basilua Andre kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=NtontoloNgangu Patrick en-aut-sei=Ntontolo en-aut-mei=Ngangu Patrick kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=NgatuNlandu Roger en-aut-sei=Ngatu en-aut-mei=Nlandu Roger kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=KhatiwadaJanuka en-aut-sei=Khatiwada en-aut-mei=Januka kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=NgombeKabamba Leon en-aut-sei=Ngombe en-aut-mei=Kabamba Leon kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=NumbiOscar Luboya en-aut-sei=Numbi en-aut-mei=Oscar Luboya kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=NzajiKabamba Michel en-aut-sei=Nzaji en-aut-mei=Kabamba Michel kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=MaotelaKabinda Jeff en-aut-sei=Maotela en-aut-mei=Kabinda Jeff kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=NgoyiMukonkole Jean en-aut-sei=Ngoyi en-aut-mei=Mukonkole Jean kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=SuzukiTomoko en-aut-sei=Suzuki en-aut-mei=Tomoko kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= en-aut-name=WadaKoji en-aut-sei=Wada en-aut-mei=Koji kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=11 ORCID= en-aut-name=IkedaShunya en-aut-sei=Ikeda en-aut-mei=Shunya kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=12 ORCID= affil-num=1 en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=2 en-affil=Department of Family Medicine and Primary health, Protestant University of Congo kn-affil= affil-num=3 en-affil=Department of Public Health, Kagawa University Faculty of Medicine kn-affil= affil-num=4 en-affil=Department of Public Health, School of Medicine, International University of Health and Welfare kn-affil= affil-num=5 en-affil=Department of Public Health, University of Kamina kn-affil= affil-num=6 en-affil=School of Public Health, University of Lubumbashi kn-affil= affil-num=7 en-affil=School of Public Health, University of Lubumbashi kn-affil= affil-num=8 en-affil=Centre National de Transfusion Sanguine kn-affil= affil-num=9 en-affil=Research Unit, ISTM-Lubumbashi kn-affil= affil-num=10 en-affil=Department of Public Health, School of Medicine, International University of Health and Welfare kn-affil= affil-num=11 en-affil=Department of Public Health, School of Medicine, International University of Health and Welfare kn-affil= affil-num=12 en-affil=Department of Public Health, School of Medicine, International University of Health and Welfare kn-affil= END