Evidence map›Paper›PMID 37661263›Full record

ArticleMalaria journal2023

Description of the design of a mixed-methods study to assess the burden and determinants of malaria transmission for tailoring of interventions (microstratification) in Ibadan and Kano metropolis.

Ifeoma D Ozodiegwu, Akintayo O Ogunwale, Olabanji Surakat, Joshua O Akinyemi, Eniola A Bamgboye, Adeniyi F Fagbamigbe, Musa Muhammad Bello, Al-Mukhtar Y Adamu, Perpetua Uhomobhi, Cyril Ademu and 3 more

Abstract read
In one paragraph

Article in Malaria journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Ifeoma D Ozodiegwu *Department of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL, USA. Ifeoma.ozodiegwu@northwestern.edu.
Akintayo O Ogunwale *Epidemiology and Biostatistics Research Unit, Institute for Advanced Medical Research and Training (IAMRAT), College of Medicine, University of Ibadan, Ibadan, Oyo, Nigeria.
Olabanji Surakat *Department of Zoology, Osun State University, Osogbo, Osun, Nigeria.
Joshua O Akinyemi *Epidemiology and Biostatistics Research Unit, Institute for Advanced Medical Research and Training (IAMRAT), College of Medicine, University of Ibadan, Ibadan, Oyo, Nigeria.
Eniola A Bamgboye *Department of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL, USA.
Adeniyi F FagbamigbeEpidemiology and Biostatistics Research Unit, Institute for Advanced Medical Research and Training (IAMRAT), College of Medicine, University of Ibadan, Ibadan, Oyo, Nigeria.
Musa Muhammad BelloEpidemiology and Biostatistics Research Unit, Institute for Advanced Medical Research and Training (IAMRAT), College of Medicine, University of Ibadan, Ibadan, Oyo, Nigeria.
Al-Mukhtar Y AdamuEpidemiology and Biostatistics Research Unit, Institute for Advanced Medical Research and Training (IAMRAT), College of Medicine, University of Ibadan, Ibadan, Oyo, Nigeria.
Perpetua UhomobhiNational Malaria Elimination Programme, Abuja, Nigeria.
Cyril AdemuNational Malaria Elimination Programme, Abuja, Nigeria.
Chukwu OkoronkwoNational Malaria Elimination Programme, Abuja, Nigeria.
Monsuru AdelekeDepartment of Zoology, Osun State University, Osogbo, Osun, Nigeria. monsuruadeleke@gmail.com.
IkeOluwapo O AjayiEpidemiology and Biostatistics Research Unit, Institute for Advanced Medical Research and Training (IAMRAT), College of Medicine, University of Ibadan, Ibadan, Oyo, Nigeria. ikeajayi2003@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid urbanization in Nigerian cities may lead to localized variations in malaria transmission, particularly with a higher burden in informal settlements and slums. However, there is a lack of available data to quantify the variations in transmission risk at the city level and inform the selection of appropriate interventions. To bridge this gap, field studies will be undertaken in Ibadan and Kano, two major Nigerian cities. These studies will involve a blend of cross-sectional and longitudinal epidemiological research, coupled with longitudinal entomological studies. The primary objective is to gain insights into the variation of malaria risk at the smallest administrative units, known as wards, within these cities. METHODS/

resultsThe findings will contribute to the tailoring of interventions as part of Nigeria's National Malaria Strategic Plan. The study design incorporates a combination of model-based clustering and on-site visits for ground-truthing, enabling the identification of environmental archetypes at the ward-level to establish the study's framework. Furthermore, community participatory approaches will be utilized to refine study instruments and sampling strategies. The data gathered through cross-sectional and longitudinal studies will contribute to an enhanced understanding of malaria risk in the metropolises of Kano and Ibadan.

conclusionsThis paper outlines pioneering field study methods aimed at collecting data to inform the tailoring of malaria interventions in urban settings. The integration of multiple study types will provide valuable data for mapping malaria risk and comprehending the underlying determinants. Given the importance of location-specific data for microstratification, this study presents a systematic process and provides adaptable tools that can be employed in cities with limited data availability.

Indexed as

MalariaResearch DesignCitiesCross-Sectional StudiesHumansNigeriaEntomologyEpidemiologyIntervention tailoringLongitudinal surveysMalariaMicrostratificationMixed-methodsNigeriaQualitative researchUrban areas

Identifiers

PMID37661263
PMCPMC10476435

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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.