Literature detail

Characterization of the Spatial and Temporal Distribution of Nipah Virus Spillover Events in Bangladesh, 2007-2013.

Maria C Cortes1 Simon Cauchemez1,2,3 Noemie Lefrancq1 Stephen P Luby4 M Jahangir Hossain5,6 Hossain M S Sazzad5 Mahmudur Rahman7 Peter Daszak8 Henrik Salje1,2,3,9 Emily S Gurley9,5
Affiliations 9 institutions
  1. Mathematical Modeling of Infectious Diseases Unit, Paris, France.
  2. Center of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, Paris, France.
  3. CNRS, Paris, France.
  4. Stanford University, California.
  5. icddr,b, Dhaka, Bangladesh.
  6. Medical Research Council Unit, Banjul, Gambia.
  7. Institute for Epidemiology, Disease Control and Research, Ministry of Health and Family Welfare, Dhaka, Bangladesh.
  8. EcoHealth Alliance, New York, New York.
  9. Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
PMID 29351657 2018 J Infect Dis eng ppublish
PubMed DOI Browse context

Article

Publication summary

Nipah virus is a zoonotic virus harbored by bats and lethal to humans. Bat-to-human spillovers occur every winter in Bangladesh. However, there is significant heterogeneity in the number of spillovers detected by district and year that remains unexplained. We analyzed data from all 57 spillovers during 2007-2013 and found that temperature differences explained 36% of the year-to-year variation in the total number of spillovers each winter and that distance to surveillance hospitals explained 45% of spatial heterogeneity. Interventions to prevent human infections may be most important during colder winters. Further work is needed to understand how dynamics of bat infections explains spillover risk.

Nipah Virus Seasons Animals Bangladesh Chiroptera Disease Outbreaks Henipavirus Infections Humans Retrospective Studies Time Factors Zoonoses

Structured evidence records

Evidence records

4 total
1 records
Extraction confidence 0.95
Key finding

Analysis of 57 bat-to-human Nipah virus spillover events revealed temporal and spatial heterogeneity influenced by temperature and proximity to surveillance hospitals.

Virus
Location
Supporting text

We analyzed data from all 57 spillovers during 2007-2013 and found that temperature differences explained 36% of the year-to-year variation in the total number of spillovers each winter and that distance to surveillance hospitals explained 45% of spatial heterogeneity.

Transmission direction
animal-to-human
Geographic raw
Bangladesh
Country inferred
Bangladesh
Outbreak time
2007-2013
Outbreak scale
57 spillovers
1 records
Extraction confidence 0.90
Key finding

Nipah virus is maintained in bats with regular winter spillovers to humans in Bangladesh, and lower winter temperatures increased spillover frequency.

Virus
Host
Location
Supporting text

Nipah virus is a zoonotic virus harbored by bats and lethal to humans. Bat-to-human spillovers occur every winter in Bangladesh. Temperature differences explained 36% of the year-to-year variation in the total number of spillovers each winter.

Method
retrospective analysis
Geographic raw
Bangladesh
Country inferred
Bangladesh
1 records
Extraction confidence 0.98
Key finding

Bat-to-human Nipah virus spillovers were documented annually in Bangladesh between 2007 and 2013.

Virus
Location
Supporting text

Bat-to-human spillovers occur every winter in Bangladesh. We analyzed data from all 57 spillovers during 2007-2013.

Study design
retrospective study
Transmission direction
animal-to-human
Geographic raw
Bangladesh
Country inferred
Bangladesh
1 records
Extraction confidence 0.85
Key finding

Analysis of 57 Nipah virus spillover events in Bangladesh revealed spatial and temporal heterogeneity in cases, related to temperature and proximity to surveillance hospitals.

Virus
Location
Supporting text

We analyzed data from all 57 spillovers during 2007-2013 and found that temperature differences explained 36% of the year-to-year variation in the total number of spillovers each winter and that distance to surveillance hospitals explained 45% of spatial heterogeneity.

Geographic raw
Bangladesh
Country inferred
Bangladesh