Evidence map›Paper›PMID 39565803›Full record

ArticlePloS one2024

Identifying weather patterns affecting household date palm sap consumption in Bangladesh, 2013-2016.

Jules Jackson, Ireen Sultana Shanta, Clifton McKee, Stephen P Luby, Najmul Haider, Yushuf Sharker, Raina Plowright, Peter Hudson, Emily S Gurley

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jules JacksonDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.ORCID 0000-0002-7653-2228
Ireen Sultana ShantaInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Clifton McKeeDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.ORCID 0000-0002-6149-0598
Stephen P LubyDivision of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, CA, United States of America.
Najmul HaiderSchool of Life Sciences, Faculty of Natural Sciences, Staffordshire, United Kingdom.
Yushuf SharkerCenter for Data Research and Analytics LLC, Bethesda, MD, United States of America.
Raina PlowrightDepartment of Public and Ecosystem Health, Cornell University, Ithaca, NY, United States of America.ORCID 0000-0002-3338-6590
Peter HudsonCenter for Infectious Disease Dynamics, Pennsylvania State University, State College, PA, United States of America.
Emily S GurleyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.

Funding

CGH CDC HHS U01 GH001207
6 · The paper itself

Abstract

Nipah virus spillovers via consumption of date palm sap in Bangladesh vary substantially between years and have been associated with lower winter temperatures and precipitation. However, the mechanisms driving the interannual variation and the influence of weather remain unexplained. Here we investigated the hypothesis that weather patterns change human sap consumption and explain interannual variation in observed spillovers. We analyzed responses from a nationally representative survey conducted in Bangladesh in 2013-2016 on household date palm sap consumption and weather data for each division of Bangladesh, using logistic regression to examine whether sap consumption is associated with weather variability. We found significant associations of lower minimum temperatures and precipitation with increased household sap consumption during the sap harvesting season. This relationship was largely similar within all months and divisions, and strong associations of temperature (χ2 (1, n = 5,027) = 7.74, p < 0.01) and, independently, precipitation (χ2 = 8.00, p < 0.01) remained strong after accounting for month, location, and annual sap season. Interannual variation in date palm sap consumption in Bangladesh is likely best explained by temperature and precipitation patterns, where colder, drier winter days pose a higher risk for Nipah virus spillover. The knowledge gained in this study may be valuable for targeting timing of future behavioral interventions against consumption of date palm sap in Bangladesh.

Indexed as

PhoeniceaeSeasonsWeatherBangladeshFamily CharacteristicsHenipavirus InfectionsHumansNipah VirusTemperature

Identifiers

PMID39565803
PMCPMC11578510

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.