Evidence map›Paper›PMID 42344053›Full record

ReviewBMJ public health2026

Integrating mortality surveillance as a routine component of national essential public health functions: a blueprint for action.

Erin Nichols, Kingsley Arhin-Wiredu, Shelly Bratton, Emily Cercone, Stephen Longa Chanda, Daniel Cobos Muñoz, Joy Ebonwu, Andres Espinosa-Bode, Endang Handzel, Priscilla Kapombe and 4 more

Abstract readReview
In one paragraph

Review in BMJ public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

14 authors.

Erin NicholsDivision of Vital Statistics, National Center for Health Statistics, Centers for Disease Control and Prevention, US Public Health Service, Hyattsville, Maryland, USA.ORCID https://orcid.org/0000-0002-4917-1412
Kingsley Arhin-WireduDivision of Vital Statistics, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, Maryland, USA.
Shelly BrattonDivision of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-5689-8513
Emily CerconeDivision of Vital Statistics, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, Maryland, USA.ORCID https://orcid.org/0000-0001-5748-4526
Stephen Longa ChandaZambia National Public Health Institute, Lusaka, Zambia.
Daniel Cobos MuñozEpidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.
Joy EbonwuDivision of Surveillance and Disease Intelligence, Africa Centres for Disease Control and Prevention, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0002-1329-7785
Andres Espinosa-BodeDivision of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Endang HandzelDivision of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Priscilla KapombeCDC Zambia, Global Health Center, Centers for Disease Control and Prevention, Lusaka, Zambia.
Daniel MartinDivision of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Ronald MoolenaarDivision of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
William MuhwavaAfrican Centre for Statistics, United Nations Economic Commission for Africa, Addis Ababa, Ethiopia.
Emily Barigye AtuheireDivision of Surveillance and Disease Intelligence, Africa Centres for Disease Control and Prevention, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0002-9015-3582

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic and other recent public health responses have highlighted significant challenges in global mortality data collection, with approximately 40% of deaths unregistered and fragmented reporting systems hampering public health responses. This paper supports the establishment of routine mortality surveillance as a core function of essential public health services, emphasising the need for integration with civil registration and vital statistics (CRVS) systems. By leveraging existing frameworks and proposing a Theory of Change (ToC), we outline critical linkages between CRVS and mortality surveillance that enhance data accuracy, timeliness and utility for public health decision-making. The paper provides examples across key enablers-policies, agreements and legislation; infrastructure; governance, funding and resources; and people and organisational culture-that facilitate these linkages. We also present examples from initiatives like the Africa CDC's Mortality Surveillance Programme to illustrate effective strategies in low- and middle-income countries (LMICs). The ToC serves as a blueprint for stakeholders to implement strategic interventions aimed at overcoming barriers to linking systems and data integration and utilisation. Ultimately, this paper underscores the importance of coordinated efforts among national public health agencies, civil registration authorities and other stakeholders to improve mortality data systems globally. By addressing these systemic challenges through enhanced collaboration and technological innovation, we can significantly advance public health outcomes and policy formulation in response to future health crises.

Indexed as

EpidemiologyPopulation SurveillancePublic Health

Identifiers

PMID42344053
PMCPMC13289189

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.