P-1785. Characterizing the epidemiological and clinical diversity of Nipah virus strains from Bangladesh: 2016 to 2023

Abstract Background Nipah virus (NiV), a zoonotic pathogen, is responsible for fatal outbreaks in Bangladesh, with a case fatality rate up to 71%. NiV-BD 1 and NiV-BD 2 are the two sublineages described in human cases in Bangladesh. This study aims to characterize the epidemiological and clinical diversity of NiV strains circulating in Bangladesh.Phylogenic analysis of the Nipah virus genome sequences Methods This study combined 21 new human NiV near-complete or partial genome sequences from the period 2016-2023 with 17 previously reported sequences from NiV cases from 2012-2015. The differences in epidemiological and clinical features between the sublineages were compared using descriptive statistics and bivariate analysis. Results The median age of the NiV cases examined in this study was 17 years [IQR: 9-30]; males were predominant (66%). Consumption of contaminated raw date palm sap was the primary route of transmission (92%). NiV-BD 1 strain was primarily localized in the northern and central regions of Bangladesh, while NiV-BD 2 showed a broader geographic distribution, with cases also reported in the southern region. The two sublineages did not differ much. No significant difference between age, sex, or transmission modes was observed among those individuals infected with NiV-BD 1 or 2. Clinical symptoms such as fever, altered mental status, and unconsciousness were observed in both strains, while respiratory distress was more prevalent (23/29 cases) in cases infected with NiV-BD 2. Duration of hospitalization was longer than 3 days (IQR: 1-23) in cases infected with NiV-BD 1. The overall mortality rate was 84%, irrespective of sublineage infection. Conclusion This study highlights that NiV sublineage vary depending on geographical location and in some of the clinical presentations for which they are responsible. These points will be important when selecting vaccine candidates to ensure that they are protective against both sublineages circulating in Bangladesh. Disclosures All Authors: No reported disclosures

Authors

Institutions

Publication Details

Journal
Open Forum Infectious Diseases
Published
2026-01-01
DOI
https://doi.org/10.1093/ofid/ofaf695.1954
Primary Topic
Virology and Viral Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

P-1785. Characterizing the epidemiological and clinical diversity of Nipah virus strains from Bangladesh: 2016 to 2023

Sazzad Hossain, Anika Farzin, Md. Omar Qayum, Christina F. Spiropoulou et al.
Open Forum Infectious Diseases
Virology and Viral Diseases
article

P-1785. Characterizing the epidemiological and clinical diversity of Nipah virus strains from Bangladesh: 2016 to 2023

Sazzad Hossain, Anika Farzin, Md. Omar Qayum, Christina F. Spiropoulou, Md. Takim Sarker, Mintu Chowdhury, Md. Abdullah Omar Nasif, Wasik Rahman Aquib, Trevor R. Shoemaker, Muhammad Rashedul Alam, Sopna Choudhury, Joel M. Montgomery, Barnali Sen, Tonmoy Sarkar, Dr Tahmina Shirin, Sayera Banu, Ahmed Nawsher Alam, Mahbubur Rahman, Mohammad Enayet Hossain, Probir Kumar Ghosh, Sharmin Sultana, Syed Moinuddin Satter, Dewan Rahman, Kamal Ibne Amin Chowdhury, Faruq Abdulla, Jhon D Klena, Arifa Nazneen, Ayesha Siddika, Mohammed Ziaur Rahman, Md Mahfuzur Rahman, Stephen Luby, Fatema Akther Ema, Emily S Gurley
article en

Abstract

Abstract Background Nipah virus (NiV), a zoonotic pathogen, is responsible for fatal outbreaks in Bangladesh, with a case fatality rate up to 71%. NiV-BD 1 and NiV-BD 2 are the two sublineages described in human cases in Bangladesh. This study aims to characterize the epidemiological and clinical diversity of NiV strains circulating in Bangladesh.Phylogenic analysis of the Nipah virus genome sequences Methods This study combined 21 new human NiV near-complete or partial genome sequences from the period 2016-2023 with 17 previously reported sequences from NiV cases from 2012-2015. The differences in epidemiological and clinical features between the sublineages were compared using descriptive statistics and bivariate analysis. Results The median age of the NiV cases examined in this study was 17 years [IQR: 9-30]; males were predominant (66%). Consumption of contaminated raw date palm sap was the primary route of transmission (92%). NiV-BD 1 strain was primarily localized in the northern and central regions of Bangladesh, while NiV-BD 2 showed a broader geographic distribution, with cases also reported in the southern region. The two sublineages did not differ much. No significant difference between age, sex, or transmission modes was observed among those individuals infected with NiV-BD 1 or 2. Clinical symptoms such as fever, altered mental status, and unconsciousness were observed in both strains, while respiratory distress was more prevalent (23/29 cases) in cases infected with NiV-BD 2. Duration of hospitalization was longer than 3 days (IQR: 1-23) in cases infected with NiV-BD 1. The overall mortality rate was 84%, irrespective of sublineage infection. Conclusion This study highlights that NiV sublineage vary depending on geographical location and in some of the clinical presentations for which they are responsible. These points will be important when selecting vaccine candidates to ensure that they are protective against both sublineages circulating in Bangladesh. Disclosures All Authors: No reported disclosures

Open Forum Infectious DiseasesVol. 13(Supplement_1)
Johns Hopkins University (US), Palo Alto University (US), University of Sierra Leone (SL), International Centre for Diarrhoeal Disease Research (BD), Institute of Epidemiology, Disease Control and Research (BD), Centers for Disease Control and Prevention (KE), CDC Foundation (US), Stanford University (US)
Good health and well-being
Openalex Percentile: Top 91%
Virology and Viral Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.