Evidence map›Paper›PMID 34779849›Full record

ArticleJAMA network open2021

Assessment of Excess Mortality and Household Income in Rural Bangladesh During the COVID-19 Pandemic in 2020.

Prabhat Barnwal, Yuling Yao, Yiqian Wang, Nishat Akter Juy, Shabib Raihan, Mohammad Ashraful Haque, Alexander van Geen

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Prabhat BarnwalDepartment of Economics, Michigan State University, Lansing.
Yuling YaoDepartment of Statistics, Columbia University, New York, New York.
Yiqian WangDepartment of Economics, Michigan State University, Lansing.
Nishat Akter JuyInnovations for Poverty Action, Bangladesh, Dhaka, Bangladesh.
Shabib RaihanInnovations for Poverty Action, Bangladesh, Dhaka, Bangladesh.
Mohammad Ashraful HaqueInnovations for Poverty Action, Bangladesh, Dhaka, Bangladesh.
Alexander van GeenLamont-Doherty Earth Observatory, Columbia University, Palisades, New York.
Michigan State University · USColumbia University · USLamont-Doherty Earth Observatory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: A slow or incomplete civil registry makes it impossible to determine excess mortality due to COVID-19 and difficult to inform policy. Objective: To quantify the association of the COVID-19 pandemic with excess mortality and household income in rural Bangladesh in 2020. Design, Setting, and Participants: This repeated survey study is based on an in-person census followed by 2 rounds of telephone calls. Data were collected from a sample of 135 villages within a densely populated 350-km2 rural area of Bangladesh. Household data were obtained first in person and subsequently over the telephone. For the analysis, mortality data were stratified by month, age, sex, and household education. Mortality rates were modeled by bayesian multilevel regression, and the strata were aggregated to the population by poststratification. Data analysis was performed from February to April 2021. Exposures: Date and cause of any changes in household composition, as well as changes in income and food availability. Main Outcomes and Measures: Mortality rates were compared for 2019 and 2020, both without adjustment and after adjustment for nonresponse and differences in demographic variables between surveys. Income and food availability reported for January, May, and November 2020 were also compared. Results: Enumerators collected data from an initial 16 054 households in January 2020; 14 551 households (91%) responded when contacted again by telephone in May 2020, and 11 933 households (74%)responded when reached again over the telephone in November 2020, for a total of 58 806 individuals (29 726 female participants [50.5%]; mean [SD] age, 26.4 [19.8] years). A total of 276 deaths were reported between February and the end of October 2020 for the subset of the population that could be contacted twice over the telephone, slightly below the 289 deaths reported for the same population over the same period in 2019. After adjustment for survey nonresponse and poststratification, 2020 mortality changed by -8% (95% CI, -21% to 7%) compared with an annualized mortality of 6.1 deaths per 1000 individuals in 2019. However, in May 2020, salaried primary income earners reported a 40% decrease in monthly income (from 17 485 to 10 835 Bangladeshi Taka), and self-employed earners reported a 60% decrease in monthly income (23 083 to 8521 Bangladeshi Taka), with only a small recovery observed by November 2020. Conclusions and Relevance: In this study of households in rural Bangladesh, all-cause mortality was lower in 2020 compared with 2019. Restrictions imposed by the government may have limited the scale of the COVID-19 pandemic in rural areas, although economic data suggest that these restrictions need to be accompanied by expanded welfare programs.

Indexed as

Cause of DeathCOVID-19Family CharacteristicsIncomePandemicsRural PopulationAdolescentAdultBangladeshBayes TheoremChildEducational StatusEmploymentFemaleHumansMale

Identifiers

PMID34779849
PMCPMC8593765
OpenAlexW3212878753

What OpenQuestion holds

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LicenceCC BY
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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.