Evidence map›Paper›PMID 31321093›Full record

ReviewBMJ global health2019

From paper maps to digital maps: enhancing routine immunisation microplanning in Northern Nigeria.

Leanne Dougherty, Masduq Abdulkarim, Fiyidi Mikailu, Usman Tijani, Kazeem Owolabi, Kate Gilroy, Ahmed Naiya, Adamu Abdullahi, Hadiza Bodinga, Folake Olayinka and 1 more

Abstract readReview
In one paragraph

Review in BMJ global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  6. Article
  7. Polio vaccination activities in conflict-affected areas.Human vaccines & immunotherapeutics · 2023
    Review
  8. Article
  9. Article
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  11. Article
  12. Article
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

11 authors.

Leanne DoughertyInternational Division, John Snow, Inc, Arlington, Virginia, USA.ORCID 0000-0002-5702-9328
Masduq AbdulkarimInternational Division, John Snow, Inc, Arlington, Virginia, USA.
Fiyidi MikailuInternational Division, John Snow, Inc, Arlington, Virginia, USA.
Usman TijaniInternational Division, John Snow, Inc, Arlington, Virginia, USA.
Kazeem OwolabiGeographic Information System and Data Analytics Division, eHealth Africa, Kano, Nigeria.
Kate GilroyInternational Division, John Snow, Inc, Arlington, Virginia, USA.
Ahmed NaiyaInternational Division, John Snow, Inc, Arlington, Virginia, USA.
Adamu AbdullahiDisease Control and Surveillance Unit, State Primary Health Care Development Agency, Bauchi, Nigeria.
Hadiza BodingaMonitoring and Evaluation Unit, State Primary Health Care Development Agency, Sokoto, Nigeria.
Folake OlayinkaInternational Division, John Snow, Inc, Arlington, Virginia, USA.
Imelda MoiseDepartment of Geography, University of Miami, Coral Gables, Florida, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Geographical information systems (GIS) can be effective decision-support tools. In this paper, we detail a GIS approach implemented by the Bauchi and Sokoto state primary healthcare development agencies in Nigeria to generate and convert routine immunisation (RI) paper maps to digital maps for microplanning. The process involved three stages: primary and secondary data collection and reconciliation, geospatial data processing and analysis, and production and validation of maps. The data collection and reconciliation stage identified a number of challenges with secondary data sources, including the need to standardise and reconcile health facility and settlement names. The study team was unable to apply population estimates generated from the Global Polio Eradication Initiative to RI planning because operational boundaries for polio activities are defined differently from RI activities. Application of open-source GIS software enabled the combination of multiple datasets and analysis of geospatial data to calculate catchment areas for primary health centres (PHCs) and assign vaccination strategies to communities. The activity resulted in the development of PHC catchment area digital maps, and captured next steps and lessons learnt for RI microplanning in the two states. While the digital maps provided input into the microplanning process, more work is needed to build capacity, standardise processes and ensure the quality of data used to generate the maps. RI service providers and communities must be engaged in the process to validate, understand the data, the contextual factors that influence decisions about which vaccination strategies RI microplans include and how resources are allocated.

Indexed as

GISimmunizationmappingmicroplanningnigeriasub-saharan africa

Identifiers

PMID31321093
PMCPMC6606073

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.