Evidence map›Paper›PMID 26565696›Full record

ArticlePloS one2015

Impact and Cost of the HIV/AIDS National Strategic Plan for Mozambique, 2015-2019--Projections with the Spectrum/Goals Model.

Eline L Korenromp, Benjamin Gobet, Erika Fazito, Joseph Lara, Lori Bollinger, John Stover

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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 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Eline L KorenrompAvenir Health, Geneva, Switzerland/Glastonbury, United States of America.
Benjamin GobetUNAIDS, Mozambique country office, Maputo, Mozambique.
Erika FazitoUNAIDS, Mozambique country office, Maputo, Mozambique.
Joseph LaraMozambique Ministry of Health, Maputo, Mozambique.
Lori BollingerAvenir Health, Geneva, Switzerland/Glastonbury, United States of America.
John StoverAvenir Health, Geneva, Switzerland/Glastonbury, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMozambique continues to face a severe HIV epidemic and high cost for its control, largely born by international donors. We assessed feasible targets, likely impact and costs for the 2015-2019 national strategic HIV/AIDS plan (NSP).

methodsThe HIV epidemic and response was modelled in the Spectrum/Goals/Resource Needs dynamical simulation model, separately for North/Center/South regions, fitted to antenatal clinic surveillance data, household and key risk group surveys, program statistics, and financial records. Intervention targets were defined in collaboration with the National AIDS Council, Ministry of Health, technical partners and implementing NGOs, considering existing commitments.

resultsImplementing the NSP to meet existing coverage targets would reduce annual new infections among all ages from 105,000 in 2014 to 78,000 in 2019, and reduce annual HIV/AIDS-related deaths from 80,000 to 56,000. Additional scale-up of prevention interventions targeting high-risk groups, with improved patient retention on ART, could further reduce burden to 65,000 new infections and 51,000 HIV-related deaths in 2019. Program cost would increase from US$ 273 million in 2014, to US$ 433 million in 2019 for 'Current targets', or US$ 495 million in 2019 for 'Accelerated scale-up'. The 'Accelerated scale-up' would lower cost per infection averted, due to an enhanced focus on behavioural prevention for high-risk groups. Cost and mortality impact are driven by ART, which accounts for 53% of resource needs in 2019. Infections averted are driven by scale-up of interventions targeting sex work (North, rising epidemic) and voluntary male circumcision (Center & South, generalized epidemics).

conclusionThe NSP could aim to reduce annual new HIV infections and deaths by 2019 by 30% and 40%, respectively, from 2014 levels. Achieving incidence and mortality reductions corresponding to UNAIDS' 'Fast track' targets will require increased ART coverage and additional behavioural prevention targeting key risk groups.

Indexed as

Acquired Immunodeficiency SyndromeAdolescentAdultCommunicable Disease ControlComputer SimulationCondomsCost-Benefit AnalysisFemaleHealth Care CostsHealth Planning Technical AssistanceHIV InfectionsHumansIncidenceInternational CooperationMaleMiddle Aged

Identifiers

PMID26565696
PMCPMC4643916

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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.