Disclaimer: Data is sourced from the World Health Organization (WHO) and the U.S. Centers for Disease Control and Prevention (CDC)

Nipah Virus Tracker: Bangladesh

Outbreak Locations in Bangladesh

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Map Legend

Critical severity
High severity
Medium severity
Low severity

Circle size represents the number of confirmed cases

BD

Bangladesh

First outbreak: 2001-04-01

Recent outbreak activity

Total Outbreaks

30

Active Cases

1

Total Cases

386

Total Deaths

279

Average Case Fatality Rate

72.3%

Timeline

First recorded:2001-04-01
Most recent:2026-01-21

Cases Timeline

Cases Over Time

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Outbreak History

Jan 21, 2026 - Present

Rajshahi Division

lowactive
Cases

1

Deaths

0

CFR

0.0%

Source: Under investigation

Transmission: foodborne

ID: NIP-2026-BD-001

One confirmed case reported in Rajshahi Division with onset of fever and neurological symptoms on January 21. Patient had history of consuming raw date palm sap. 35 contacts under monitoring tested negative.

Jan 1, 2025 - Mar 31, 2025

Rajshahi

critical
Cases

5

Deaths

4

CFR

8000.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap)

ID: NIP-2025-BD-003

2025 season outbreak. Surveillance ongoing.

Jan 1, 2025 - Jan 31, 2025

Rajshahi

critical
Cases

2

Deaths

2

CFR

10000.0%

Source: Under investigation

Transmission: Unknown

ID: NIP-2025-BD-001

Two fatal confirmed cases reported in Rajshahi division of Bangladesh in 2025.

Jan 1, 2025 - Jan 31, 2025

Dhaka

critical
Cases

1

Deaths

1

CFR

10000.0%

Source: Under investigation

Transmission: Unknown

ID: NIP-2025-BD-002

One fatal confirmed case reported in Dhaka division of Bangladesh in 2025.

Jan 1, 2025 - Jan 31, 2025

Barisal

critical
Cases

1

Deaths

1

CFR

10000.0%

Source: Under investigation

Transmission: Unknown

ID: NIP-2025-BD-004

One fatal confirmed case reported in Barisal division of Bangladesh in 2025.

Jan 1, 2024 - Jan 31, 2024

Dhaka

critical
Cases

2

Deaths

2

CFR

10000.0%

Source: Under investigation

Transmission: date palm sap

ID: NIP-2024-BD-001

Two laboratory-confirmed fatal cases of Nipah virus reported in Dhaka division during the seasonal outbreak period associated with date palm sap harvesting and consumption.

Jan 1, 2024 - Mar 31, 2024

Manikganj

critical
Cases

14

Deaths

10

CFR

7143.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap), human-to-human

ID: NIP-2024-BD-002

Cases reported across multiple districts during 2024 date palm sap season.

Jan 15, 2023 - Mar 31, 2023

Dhaka

critical
Cases

11

Deaths

8

CFR

7273.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap), human-to-human

ID: NIP-2023-BD-001

Cases reported in Dhaka division during date palm sap season.

Jan 1, 2022 - Mar 31, 2022

Sylhet

high
Cases

5

Deaths

3

CFR

6000.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap)

ID: NIP-2022-BD-001

Eastern Bangladesh outbreak.

Jan 1, 2021 - Mar 31, 2021

Natore

critical
Cases

3

Deaths

3

CFR

10000.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap)

ID: NIP-2021-BD-001

Small cluster, all fatal.

Jan 1, 2020 - Mar 31, 2020

Rajshahi

high
Cases

8

Deaths

5

CFR

6250.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap)

ID: NIP-2020-BD-001

Outbreak during COVID-19 pandemic.

Jan 1, 2019 - Mar 31, 2019

Chapainawabganj

critical
Cases

4

Deaths

4

CFR

10000.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap)

ID: NIP-2019-BD-001

All cases fatal.

Feb 1, 2018 - Mar 31, 2018

Kushtia

critical
Cases

7

Deaths

5

CFR

7143.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap)

ID: NIP-2018-BD-001

Annual seasonal outbreak.

Jan 1, 2017 - Mar 31, 2017

Rangpur

critical
Cases

3

Deaths

3

CFR

10000.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap)

ID: NIP-2017-BD-001

Small cluster, all fatal.

Jan 1, 2016 - Mar 31, 2016

Rajshahi

high
Cases

6

Deaths

4

CFR

6667.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap)

ID: NIP-2016-BD-001

Lower case count due to improved surveillance.

Jan 1, 2015 - Mar 31, 2015

Nilphamari

high
Cases

9

Deaths

6

CFR

6667.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap)

ID: NIP-2015-BD-001

Continued annual pattern in Bangladesh.

Jan 1, 2014 - Mar 31, 2014

Manikganj

high
Cases

18

Deaths

9

CFR

5000.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap)

ID: NIP-2014-BD-001

Awareness campaigns helped reduce CFR.

Jan 1, 2013 - Apr 30, 2013

Gaibandha

critical
Cases

24

Deaths

21

CFR

8750.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap), human-to-human

ID: NIP-2013-BD-001

Multiple clusters across districts.

Jan 1, 2012 - Mar 31, 2012

Joypurhat

critical
Cases

12

Deaths

10

CFR

8333.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap)

ID: NIP-2012-BD-001

Continued seasonal pattern.

Jan 15, 2011 - Mar 31, 2011

Lalmonirhat

critical
Cases

44

Deaths

40

CFR

9091.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap), human-to-human

ID: NIP-2011-BD-001

One of the largest outbreaks with very high CFR.

Jan 1, 2010 - Mar 31, 2010

Faridpur

critical
Cases

16

Deaths

14

CFR

8750.0%

Source: Under investigation

Transmission: bat-to-human, human-to-human

ID: NIP-2010-BD-001

Human-to-human transmission documented.

Jan 1, 2009 - Mar 31, 2009

Rajbari

low
Cases

4

Deaths

1

CFR

2500.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap)

ID: NIP-2009-BD-001

Small cluster during date palm sap season.

Feb 1, 2008 - Mar 31, 2008

Manikganj

critical
Cases

11

Deaths

8

CFR

7273.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap)

ID: NIP-2008-BD-001

Seasonal outbreak during date palm sap harvesting.

Jan 1, 2007 - Mar 31, 2007

Thakurgaon

high
Cases

18

Deaths

9

CFR

5000.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap)

ID: NIP-2007-BD-001

Multiple districts affected.

Jan 11, 2005 - Feb 28, 2005

Tangail

critical
Cases

12

Deaths

11

CFR

9167.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap)

ID: NIP-2005-BD-001

Very high case fatality rate.

Apr 20, 2004 - May 20, 2004

Faridpur district

critical
Cases

18

Deaths

18

CFR

10000.0%

Source: Under investigation

Transmission: Unknown

ID: NIP-2004-BD-003

Cluster of 30 cases including 18 deaths in Faridpur district, with 16 cases laboratory-confirmed by CDC Atlanta. Investigation team deployed and developing case management guidelines.

Jan 4, 2004 - Feb 3, 2004

Manikganj

high
Cases

35

Deaths

10

CFR

2857.0%

Source: Under investigation

Transmission: Unknown

ID: NIP-2004-BD-002

Outbreak in Rajbari province with 35 cases and 10 deaths. Part of larger outbreak with 9 total laboratory-confirmed cases.

Jan 1, 2004 - Mar 31, 2004

Rajbari

critical
Cases

67

Deaths

50

CFR

7463.0%

Source: Under investigation

Transmission: bat-to-human, human-to-human

ID: NIP-2004-BD-001

Large outbreak with evidence of person-to-person transmission.

Jan 1, 2003 - Feb 28, 2003

Naogaon

high
Cases

12

Deaths

8

CFR

6667.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap)

ID: NIP-2003-BD-001

Linked to consumption of raw date palm sap.

Apr 1, 2001 - May 31, 2001

Meherpur

high
Cases

13

Deaths

9

CFR

6923.0%

Source: Under investigation

Transmission: bat-to-human (date palm sap)

ID: NIP-2001-BD-001

First Bangladesh outbreak. Associated with drinking raw date palm sap.

About Nipah Virus Tracking in Bangladesh

Bangladesh has recorded 30 Nipah virus outbreaks since 2001-04-01, with 1 active cases and 279 deaths. Our Nipah virus tracker monitors all documented outbreaks to provide comprehensive surveillance data for public health awareness.

The case fatality rate in Bangladesh averages 72.3%, highlighting the severity of Nipah virus infections in this region. Tracking these outbreaks helps researchers and public health officials understand transmission patterns and improve outbreak response.

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