Evidence map›Paper›PMID 25406749›Full record

ArticleAIDS (London, England)2014

Redefining the HIV epidemic in Nigeria: from national to state level.

Mary Mahy, Masauso Nzima, Michael K Ogungbemi, Doris A Ogbang, Mercy Chinenye Morka, John Stover

Abstract read
In one paragraph

Article in AIDS (London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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.

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Mary MahyaUNAIDS, Strategic Information and Evaluation Department, Geneva, Switzerland bUNAIDS cNational Agency for the Control of AIDS (NACA) dFederal Ministry of Health, Abuja, Nigeria eFutures Institute, Glastonbury, Connecticut, USA.
Masauso Nzima
Michael K Ogungbemi
Doris A Ogbang
Mercy Chinenye Morka
John Stover

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGovernments are increasingly recognizing the need to focus limited HIV resources on specific geographic areas and specific populations to have a greater impact. Nigeria, with the second largest HIV epidemic in the world, is an important example of where more localized programming has the potential to improve the efficiency of the HIV response.

methodsUsing Spectrum software we modelled the Nigerian HIV epidemic using two methods: First, we created national HIV estimates using trends in urban and rural areas. Second, we created national HIV estimates using trends from each of the 37 states in Nigeria and aggregated these results. In both instances we used HIV surveillance data from antenatal clinics and household surveys and aggregated the trends to determine the national epidemic.

resultsThe state models showed divergent trends in the 37 states. Comparing the national results calculated from the two methods resulted in different conclusions. In the aggregated state files, adult HIV incidence in Nigeria was stable between 2005 and 2013 (change of -6%), whereas the urban and rural file suggested incidence was decreasing over the same time (change of -50%). This difference was also reflected in the HIV prevalence trends, although the two methods showed similar trends in AIDS-related mortality. The two models had similar adult HIV prevalence in 2013: 3.0% (2.0-4.5%) in the aggregated state files versus 3.2% (3.0-3.5%) in the urban/rural file.

conclusionThe state-level estimates provide insight into the variations of the HIV epidemic in each state and provide useful information for programme managers. However, the reliability of the results is highly dependent on the amount and quality of data available from each sub-national area.

Indexed as

EpidemicsAdolescentAdultComputer SimulationEpidemiologic MethodsFemaleHIV InfectionsHumansIncidenceMaleMiddle AgedNigeriaPrevalenceYoung Adult

Identifiers

PMID25406749
PMCPMC4247268

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