Evidence map›Paper›PMID 30482166›Full record

ArticleBMC infectious diseases2018

Spatial overlaps in the distribution of HIV/AIDS and malaria in Zimbabwe.

Isaiah Gwitira, Amon Murwira, Joseph Mberikunashe, Mhosisi Masocha

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04502342 (Évaluationefficacité et tolérance d'Une médication à Base de Cosphérunate et d'un phytomédicament Antiviral Par Voie Orale en Comparaison Avec un Traitement à Base d'Hydroxychloroquine Chez Des Adultes Malades Covid-19 Sans Complications), which is not on this map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 7% 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.

NCT04502342 phase2unknown statusnot on this mapstarted 2020, after this paper: background citation

Évaluationefficacité et tolérance d'Une médication à Base de Cosphérunate et d'un phytomédicament Antiviral Par Voie Orale en Comparaison Avec un Traitement à Base d'Hydroxychloroquine Chez Des Adultes Malades Covid-19 Sans Complications

TypeinterventionalSponsorInstitute for Research and Development of Medicinal and Food Plants of GuineaRan2020 to 2020Enrolled30ConditionsCovid19ArmsHydroxycloroquine and Azythromycine, Cospherunate/Azythromycine, Cospherunate/Phytomedicine/Azythromycien
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 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

4 authors at 2 institutions in 1 country.

Isaiah GwitiraDepartment of Geography and Environmental Science, University of Zimbabwe, P. O. Box MP 167, Mount Pleasant, Harare, Zimbabwe. gwitirai@gis.uz.ac.zw.ORCID http://orcid.org/0000-0001-9671-6131
Amon MurwiraDepartment of Geography and Environmental Science, University of Zimbabwe, P. O. Box MP 167, Mount Pleasant, Harare, Zimbabwe.
Joseph MberikunasheMinistry of Health and Child Care, 4th Floor, Kaguvi Building, Central Avenue (between 4th and 5th Street), Harare, Zimbabwe.
Mhosisi MasochaDepartment of Geography and Environmental Science, University of Zimbabwe, P. O. Box MP 167, Mount Pleasant, Harare, Zimbabwe.
University of Zimbabwe · ZWMinistry of Health and Child Welfare · ZW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn most developing economies particularly in Africa, more people are likely to die of HIV/AIDS and malaria compared to other diseases. HIV/AIDS tends to be superimposed on the long standing malaria burden particularly in sub-Saharan Africa. The detection and understanding of spatial overlaps in disease occurrence is important for integrated and targeted disease control. Integrated disease control can enhance efficiency and cost-effectiveness through the development of drugs targeting multiple infections in the same geographic space.

methodsUsing Zimbabwe as a case study, this study tests the hypothesis that malaria clusters coincide with HIV/AIDS clusters in space. Case data for the two diseases were obtained from the Ministry of Health and Child Care in Zimbabwe at district level via the District Health Information System (DHIS). Kulldorff's spatial scan statistic was used to test for spatial overlaps in clusters of high cases of HIV/AIDS and malaria at district level. The spatial scan test was used to identify areas with higher cases of HIV/AIDS and malaria than would be expected under spatial randomness.

resultsResults of this study indicate that primary clusters of HIV/AIDS and malaria were not spatially coincident in Zimbabwe. While no spatial overlaps were detected between primary clusters of the two diseases, spatial overlaps were detected among statistically significant secondary clusters of HIV/AIDS and malaria. Spatial overlaps between HIV/AIDS and malaria occurred in five districts in the northern and eastern regions of Zimbabwe. In addition, findings of this study indicate that HIV/AIDS is more widespread in Zimbabwe compared to malaria.

conclusionsThe results of this study may therefore be used as a basis for spatially-targeted control of HIV/AIDS and malaria particularly in high disease burden areas. This is important as previous interventions have targeted the two diseases separately. Thus, targeted control could assist in resource allocation through prioritising areas in greatest need hence maximising the impact of disease control.

Indexed as

Acquired Immunodeficiency SyndromeAdultChildCluster AnalysisCoinfectionDelivery of Health CareDemographyFemaleHIVHIV InfectionsHumansMalariaPrevalenceZimbabweDisease clustersGISHIV/AIDSMalariaSaTscanSpatial overlap

Identifiers

PMID30482166
PMCPMC6260695
OpenAlexW2903507428

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Registered trials

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.