Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/107764
DC FieldValueLanguage
dc.contributor.authorGuerra, Mónica-
dc.contributor.authorSousa, Bruno de-
dc.contributor.authorNdong-Mabale, Nicolas-
dc.contributor.authorBerzosa, Pedro-
dc.contributor.authorArez, Ana Paula-
dc.date.accessioned2023-08-01T08:40:22Z-
dc.date.available2023-08-01T08:40:22Z-
dc.date.issued2018-05-18-
dc.identifier.issn1475-2875pt
dc.identifier.urihttps://hdl.handle.net/10316/107764-
dc.description.abstractAfter the introduction of an artemisinin-based combination therapy, the reduction of prevalence of malaria infections has shown a remarkable progress during the last decade. However due to the lack of a consistent malaria control programme and socioeconomic inequalities, Plasmodium infection is still one of the major cause of disease in Equatorial Guinea, namely in the rural communities. This study explored the associated risk factors of malaria transmission at the microeconomic level (households) in two rural villages of mainland Equatorial Guinea.Background: After the introduction of an artemisinin-based combination therapy, the reduction of prevalence of malaria infections has shown a remarkable progress during the last decade. However due to the lack of a consistent malaria control programme and socioeconomic inequalities, Plasmodium infection is still one of the major cause of disease in Equatorial Guinea, namely in the rural communities. This study explored the associated risk factors of malaria transmission at the microeconomic level (households) in two rural villages of mainland Equatorial Guinea. Methods: This survey involved 232 individuals living in 69 households located in two rural villages, Ngonamanga and Miyobo, of coastal and interior of Equatorial Guinea, respectively. Malaria prevalence was measured by PCR and parasitaemia level by optical microscopy; household socioeconomic status (SES) was measured based on house characteristics using a 2-step cluster analysis. Logistic regression analysis was performed to investigate the relationship of a diverse set of independent variables on being diagnosed with malaria and on showing high levels of parasitaemia. Results: The prevalence of Plasmodium spp. infection was 69%, with 80% of households having at least one parasitaemic member. The majority of houses have eaves (80%), walls of clay/wood (90%) and zinc roof (99%) and only 10% of them have basic sanitation facilities. The studied areas showed reduced rates of indoor residual spraying coverage (9%), and long-lasting insecticide-treated net ownership (35%), with none of these preventive tools showing any significant effects on malaria risk in these areas. Neither the risk of malaria infection (PCR positive result) or the development of high parasitaemia did show association with SES. Conclusions: This study has contributed to reinforce the importance of living conditions associated to a high risk of malaria infection and vulnerability to develop high parasitaemia. This study also contributes to future malaria control interventions to be implemented in mainland Equatorial Guinea or in other countries with similar environmental conditions.pt
dc.language.isoengpt
dc.publisherSpringer Naturept
dc.relationPEst-OE/SAU/LA0018/2011-Proj. Estratégico LA0018 2011/2012pt
dc.relationPTDC/SAU-EPI/113326/2009pt
dc.relationGHTM-UID/ Multi/04413/2013pt
dc.relationInstituto de Salud Carlos III, Ministerio de Ciencia e Innovación, Madrid, Spainpt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectMalaria infectionpt
dc.subjectPlasmodium spp.pt
dc.subjectRisk factorspt
dc.subjectSocioeconomic statuspt
dc.subjectEquatorial Guineapt
dc.subject.meshCluster Analysispt
dc.subject.meshEquatorial Guineapt
dc.subject.meshLogistic Modelspt
dc.subject.meshMalariapt
dc.subject.meshMicroscopypt
dc.subject.meshParasitemiapt
dc.subject.meshPolymerase Chain Reactionpt
dc.subject.meshPrevalencept
dc.subject.meshRisk Factorspt
dc.subject.meshRural Populationpt
dc.subject.meshFamily Characteristicspt
dc.subject.meshSocioeconomic Factorspt
dc.titleMalaria determining risk factors at the household level in two rural villages of mainland Equatorial Guineapt
dc.typearticle-
degois.publication.firstPage203pt
degois.publication.issue1pt
degois.publication.titleMalaria Journalpt
dc.peerreviewedyespt
dc.identifier.doi10.1186/s12936-018-2354-xpt
degois.publication.volume17pt
dc.date.embargo2018-05-18*
uc.date.periodoEmbargo0pt
item.cerifentitytypePublications-
item.languageiso639-1en-
item.fulltextCom Texto completo-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypearticle-
crisitem.author.researchunitCenter for Research in Neuropsychology and Cognitive Behavioral Intervention (CINEICC)-
crisitem.author.parentresearchunitFaculty of Psychology and Educational Sciences-
crisitem.author.orcid0000-0001-9918-8100-
Appears in Collections:FPCEUC - Artigos em Revistas Internacionais
I&D CINEICC - Artigos em Revistas Internacionais
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