Dataset Information

Identification of Anopheles species in Sud Kivu, Democratic Republic of Congo, using molecular tools.

ABSTRACT: The mosquito fauna of the Democratic Republic of Congo remains understudied, including that of the province of Sud Kivu. To improve understanding of species presenting Sud Kivu, adult mosquitoes were collected from houses and larvae were collected from standing water at altitudes between 1627 and 1875 m above sea level. Morphological and molecular methods were used to identify the species of Anopheles collected. Six species were found, including several primary and potential secondary malaria vectors. Further work is needed to characterize mosquito populations in Sud Kivu, as well as to improve methods for identifying Anopheles in general.

SUBMITTER: Bandibabone J

PROVIDER: S-EPMC10961943 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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Identification of Anopheles species in Sud Kivu, Democratic Republic of Congo, using molecular tools.

Bandibabone Janvier J Muhigwa Jean-Berckmans B JB Agramonte Natasha M NM Zawadi Bertin B Ombeni Luc L Corredor-Medina Claudia C Lawrence Gena G GG Chimanuka Bantuzeko B Irish Seth R SR

Transactions of the Royal Society of Tropical Medicine and Hygiene 20180801 8

The mosquito fauna of the Democratic Republic of Congo remains understudied, including that of the province of Sud Kivu. To improve understanding of species presenting Sud Kivu, adult mosquitoes were collected from houses and larvae were collected from standing water at altitudes between 1627 and 1875 m above sea level. Morphological and molecular methods were used to identify the species of Anopheles collected. Six species were found, including several primary and potential secondary malaria ve ...[more]

PMID: 30085272

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Project description:BackgroundThe Democratic Republic of Congo (DRC) has a long history of conflict and ongoing local instability; the eastern provinces, including South Kivu, have been especially affected. Health systems and livelihoods have been undermined, contributing to massive inequities in access to health services and high rates of internal displacement. Asili, an innovative social enterprise program, aimed to provide essential community services and improve the health of under-five children in two South Kivu communities, Mudaka and Panzi, via provision of small-format, franchisable health clinics and clean water services.MethodsWe evaluated utilization and acceptance of Asili services in two study sites, Mudaka and Panzi. Data collected included questions on housing conditions, food security, and at follow up, Asili membership and use, satisfaction with services, and recommendations for improvement. Structured pre- and post-interviews with primary caregivers of families with under-five children were the primary source of data with additional community input collected through focus group discussions.ResultsAt baseline, we enrolled 843 households in Mudaka and 890 in Panzi. Market segmentation analysis illuminated service usage patterns, showing Asili services were well received overall in both Mudaka and Panzi. Families reporting higher levels of proxy measures of socioeconomic status (SES), such as electricity, land ownership, and education, were more likely to use Asili services, findings that were further supported by focus group discussions among community members.ConclusionsRebuilding health infrastructure in post-conflict settings, especially those that continue to be conflict-affected and very low SES, is a challenging prospect. Focus group results for this study highlighted the positive community response to Asili, while also underscoring challenges related to cost of services. Programs may need, in particular, to have different levels of costs for different SES groups. Additionally, longer follow-up periods and increased stability may be needed to assess the potential of social enterprise interventions such as Asili to improve health outcomes, especially in children.Trial registrationInstitutional Review Board approval for this study was obtained at Stanford University (IRB 35216) and the University of Kinshasa, DRC. Further, this study has been registered on Clinicaltrials.gov (record NCT03536286), retrospectively registered as of 4/23/2018.

Dataset Information

Identification of Anopheles species in Sud Kivu, Democratic Republic of Congo, using molecular tools.

Publications

Identification of Anopheles species in Sud Kivu, Democratic Republic of Congo, using molecular tools.

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