Evidence map›Paper›PMID 26147473›Full record

ArticlePloS one2015

HIV Incidence and Spatial Clustering in a Rural Area of Southern Mozambique.

Raquel González, Orvalho J Augusto, Khátia Munguambe, Charlotte Pierrat, Elpidia N Pedro, Charfudin Sacoor, Elisa De Lazzari, John J Aponte, Eusébio Macete, Pedro L Alonso and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

39 citing papers in PubMed, 57 citations in OpenAlex.

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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

12 authors at 2 institutions in 2 countries.

Raquel GonzálezISGlobal, Barcelona Ctr. Int. Heath Res. (CRESIB), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain; Centro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique.
Orvalho J AugustoCentro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique.
Khátia MunguambeCentro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique.
Charlotte PierratISGlobal, Barcelona Ctr. Int. Heath Res. (CRESIB), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.
Elpidia N PedroCentro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique.
Charfudin SacoorCentro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique.
Elisa De LazzariISGlobal, Barcelona Ctr. Int. Heath Res. (CRESIB), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.
John J AponteISGlobal, Barcelona Ctr. Int. Heath Res. (CRESIB), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain; Centro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique.
Eusébio MaceteCentro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique; Direcção Nacional de Saúde (DNS), Ministério da Saúde, Maputo, Mozambique.
Pedro L AlonsoISGlobal, Barcelona Ctr. Int. Heath Res. (CRESIB), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain; Centro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique; World Health Organization (WHO), Geneva, Switzerland.
Clara MenendezISGlobal, Barcelona Ctr. Int. Heath Res. (CRESIB), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain; Centro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique.
Denise NanicheISGlobal, Barcelona Ctr. Int. Heath Res. (CRESIB), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain; Centro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique.
Manhiça Health Research Centre · MZUniversitat de Barcelona · ES

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundMonitoring the HIV epidemic in a defined population is critical for planning treatment and preventive strategies. This is especially important in sub-Saharan Africa, which harbours the highest burden of the disease.

objectiveTo estimate HIV incidence in adults aged 18-47 years old and to investigate spatial variations of HIV prevalence in Manhiça, a semi-rural area of southern Mozambique.

methodsTwo cross-sectional community-based surveys were conducted in 2010 and 2012 to determine HIV prevalence. Individual participants were randomly selected from the demographic surveillance system in place in the area and voluntary HIV counselling and testing was offered at the household level. HIV incidence was calculated using prevalence estimates from the two sero-surveys. Each participant's household was geocoded using a global information system. The Spatial Scan Statistics programme was used to identify areas with disproportionate excess in HIV prevalence.

resultsA total of 1511 adults were tested. The estimated HIV prevalence in the community was 39.9% in 2010 and 39.7% in 2012. The overall HIV incidence was 3.6 new infections per 100 person-years at risk (PYAR) [95CI 1.56; 7.88], assuming stable epidemic conditions, and tended to be higher in women (4.9/100 PYAR [95CI 1.74; 11.85]) than in men (3.2/PYAR [95CI 1.36; 9.92]). One cluster with significant excess HIV prevalence was identified at the same geographic location in both surveys. This cluster had an HIV prevalence of 79.0% in 2010 and 52.3% in 2012.

conclusionsThe findings of these first individually-randomised community-HIV sero-surveys conducted in Mozambique reinforce the need to combine HIV incidence estimates and research on micro geographical infection patterns to guide and consolidate effective prevention strategies.

Indexed as

HIV-1HIV-2AdolescentAdultAge DistributionCatchment Area, HealthCluster AnalysisCross-Sectional StudiesEpidemicsFamily CharacteristicsFemaleHealth SurveysHIV InfectionsHIV SeroprevalenceHouse CallsHumans

Identifiers

PMID26147473
PMCPMC4493140
OpenAlexW852567253

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.