Evidence map›Paper›PMID 41362348›Full record

ArticleData in brief2025

2022-'23 Malawi rapid mortality mobile phone survey (RaMMPS) dataset.

David Amadi, Julio Romero-Prieto, Funny Muthema, Jacob Saikolo, Michael Chasukwa, Jethro Banda, Monica Jamali, Emmanuel Souza, Tathagata Bhattacharjee, Malebogo Tlhajoane and 3 more

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

David AmadiLondon School of Hygiene and Tropical Medicine, London, UK.
Julio Romero-PrietoLondon School of Hygiene and Tropical Medicine, London, UK.
Funny MuthemaInstitute of Public Opinion and Research, Zomba, Malawi.
Jacob SaikoloInstitute of Public Opinion and Research, Zomba, Malawi.
Michael ChasukwaInstitute of Public Opinion and Research, Zomba, Malawi.
Jethro BandaMalawi Epidemiology and Interventions Research Unit, Lilongwe, Malawi.
Monica JamaliUniversity of Malawi, Zomba, Malawi.
Emmanuel SouzaUniversity of Malawi, Zomba, Malawi.
Tathagata BhattacharjeeLondon School of Hygiene and Tropical Medicine, London, UK.
Malebogo TlhajoaneLondon School of Hygiene and Tropical Medicine, London, UK.
Stéphane HelleringerNew York University - Abu Dhabi, Abu Dhabi, UAE.
Georges ReniersLondon School of Hygiene and Tropical Medicine, London, UK.
Boniface DulaniInstitute of Public Opinion and Research, Zomba, Malawi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In countries with limited civil registration and vital statistics systems, mortality estimates are often derived from periodic censuses and household surveys. Mobile Phone Surveys (MPS) offer a potentially cost-effective and efficient alternative for mortality monitoring. However, their utility for this purpose still requires rigorous evaluation. The Rapid Mortality Mobile Phone Surveys (RaMMPS) project aims to develop and validate methodologies for collecting mortality data through phone-based surveys. The Malawi RaMMPS fieldwork was conducted between 24 January 2022 and 28 July 2023 and included several survey modules, including respondent background characteristics, COVID-19 vaccination status, deaths in the household in the three months prior to the interview, parental survival histories, sibling survival histories, and pregnancy histories. The resulting datasets can be used for estimating mortality and assessing the impact of the COVID-19 pandemic. Survey paradata can be used for analysing respondent engagement and the data collection process in an MPS.

Indexed as

MeasurementMethodsMortalitySurveillanceSurvey

Identifiers

PMID41362348
PMCPMC12681745

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LicenceCC BY-NC
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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.