The use of spatial and genetic tools to assess Plasmodium falciparum transmission in Lusaka, Zambia between 2011 and 2015

Daniel J. Bridges, Sandra Chishimba, Mulenga Mwenda, Anna M. Winters, Erik Slawsky, Brenda Mambwe, Conceptor Mulube, Kelly M. Searle, Aves Hakalima, Roy Mwenechanya, David A. Larsen

Research output: Contribution to journalArticle

Abstract

Background: Zambia has set itself the ambitious target of eliminating malaria by 2021. To continue tracking transmission to zero, new interventions, tools and approaches are required. Methods: Urban reactive case detection (RCD) was performed in Lusaka city from 2011 to 2015 to better understand the location and drivers of malaria transmission. Briefly, index cases were followed to their home and all consenting individuals living in the index house and nine proximal houses were tested with a malaria rapid diagnostic test and treated if positive. A brief survey was performed and for certain responses, a dried blood spot sample collected for genetic analysis. Aggregate health facility data, individual RCD response data and genetic results were analysed spatially and against environmental correlates. Results: Total number of malaria cases remained relatively constant, while the average age of incident cases and the proportion of incident cases reporting recent travel both increased. The estimated R0 in Lusaka was < 1 throughout the study period. RCD responses performed within 250 m of uninhabited/vacant land were associated with a higher probability of identifying additional infections. Conclusions: Evidence suggests that the majority of malaria infections are imported from outside Lusaka. However there remains some level of local transmission occurring on the periphery of urban settlements, namely in the wet season. Unfortunately, due to the higher-than-expected complexity of infections and the small number of samples tested, genetic analysis was unable to identify any meaningful trends in the data.

Original languageEnglish (US)
Article number20
JournalMalaria Journal
Volume19
Issue number1
DOIs
StatePublished - Jan 15 2020

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Zambia
Plasmodium falciparum
Malaria
Infection
Health Facilities
Risk Management
Routine Diagnostic Tests

Keywords

  • Genetic analysis
  • Importation
  • Malaria
  • Plasmodium falciparum
  • Urban transmission

ASJC Scopus subject areas

  • Parasitology
  • Infectious Diseases

Cite this

The use of spatial and genetic tools to assess Plasmodium falciparum transmission in Lusaka, Zambia between 2011 and 2015. / Bridges, Daniel J.; Chishimba, Sandra; Mwenda, Mulenga; Winters, Anna M.; Slawsky, Erik; Mambwe, Brenda; Mulube, Conceptor; Searle, Kelly M.; Hakalima, Aves; Mwenechanya, Roy; Larsen, David A.

In: Malaria Journal, Vol. 19, No. 1, 20, 15.01.2020.

Research output: Contribution to journalArticle

Bridges, DJ, Chishimba, S, Mwenda, M, Winters, AM, Slawsky, E, Mambwe, B, Mulube, C, Searle, KM, Hakalima, A, Mwenechanya, R & Larsen, DA 2020, 'The use of spatial and genetic tools to assess Plasmodium falciparum transmission in Lusaka, Zambia between 2011 and 2015', Malaria Journal, vol. 19, no. 1, 20. https://doi.org/10.1186/s12936-020-3101-7
Bridges, Daniel J. ; Chishimba, Sandra ; Mwenda, Mulenga ; Winters, Anna M. ; Slawsky, Erik ; Mambwe, Brenda ; Mulube, Conceptor ; Searle, Kelly M. ; Hakalima, Aves ; Mwenechanya, Roy ; Larsen, David A. / The use of spatial and genetic tools to assess Plasmodium falciparum transmission in Lusaka, Zambia between 2011 and 2015. In: Malaria Journal. 2020 ; Vol. 19, No. 1.
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