Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Spatiotemporal dynamics of malaria in Zanzibar, 2015–2020

Bibliographic Data

ID21880754
AuthorsDonal Bisanzio (0000-0002-7832-2291, RTI International), Shabbir Lalji (0000-0003-1499-327X, RTI International), Faiza ABBAS (0009-0003-5242-4884, Zanzibar University), Faiza B Abbas, Mohamed H Ali (Zanzibar University), Wahida Hassan (0009-0004-0452-751X, Zanzibar University), Humphrey R Mkali (0000-0002-6178-481X, RTI International), Abdul-wahid Al-Mafazy (0000-0002-1251-4741, RTI International), Joseph J Joseph (0000-0002-7971-7252, RTI International), Ssanyu Nyinondi (RTI International), Chonge Kitojo (United States Agency for International Development), Naomi Serbantez (0000-0003-0204-7796, United States Agency for International Development), Erik Reaves, Erik J Reaves (0000-0001-9822-5010, Centers for Disease Control and Prevention), Erin Eckert (0000-0003-4116-0900, RTI International), Jeremiah Ngondi (0000-0003-4357-4816, RTI International), Jeremiah M Ngondi, Richard Reithinger (0000-0001-5710-1556, RTI International, corresponding author)
Year2023
Volume8
Issue1
Pagese009566
Publication date2023-01-01
Open AccessYes
TypeARTICLE
VenueBMJ Global Health (JOURNAL)
Journal identifiersISSN: 2059-7908 • E-ISSN: 2059-7908
PublisherBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2022-009566
PMID36639160
OpenAlexW4315874407
LanguageEN
References cited42

BACKGROUND: Despite high coverage of malaria interventions, malaria elimination in Zanzibar remains elusive, with the annual number of cases increasing gradually over the last 3 years. OBJECTIVE: The aims of the study were to (1) assess the spatiotemporal dynamics of malaria in Zanzibar between 2015 and 2020 and (2) identify malaria hotspots that would allow Zanzibar to develop an epidemiological stratification for more effective and granular intervention targeting. METHODS: In this study, we analysed data routinely collected by Zanzibar's Malaria Case Notification (MCN) system. The system collects sociodemographic and epidemiological data from all malaria cases. Cases are passively detected at health facilities (ie, primary index cases) and through case follow-up and reactive case detection (ie, secondary cases). Analyses were performed to identify the spatial heterogeneity of case reporting at shehia (ward) level during transmission seasons. RESULTS: From 1 January 2015 to 30 April 2020, the MCN system reported 22 686 index cases. Number of cases reported showed a declining trends from 2015 to 2016, followed by an increase from 2017 to 2020. More than 40% of cases had a travel history outside Zanzibar in the month prior to testing positive for malaria. The proportion of followed up index cases was approximately 70% for all years. Out of 387 shehias, 79 (20.4%) were identified as malaria hotspots in any given year; these hotspots reported 52% of all index cases during the study period. Of the 79 hotspot shehias, 12 were hotspots in more than 4 years, that is, considered temporally stable, reporting 14.5% of all index cases. CONCLUSIONS: Our findings confirm that the scale-up of malaria interventions has greatly reduced malaria transmission in Zanzibar since 2006. Analyses identified hotspots, some of which were stable across multiple years. Malaria efforts should progress from a universal intervention coverage approach to an approach that is more tailored to a select number of hotspot shehias

Environmental health · Geography · Index case · Malaria · Outbreak · Psychological intervention · Public health · Tanzania · Demography · Malaria Research and Control · Medicine · Mosquito-borne diseases and control · Travel-related health issues · Epidemiology · Immunology · Virology

  • Applied Spatial Statistics for Public Health Data

    Open Access•Lance A Waller, Carol A Gotway•Applied spatial statistics for…•2004

  • Modern Applied Statistics with S

    Open Access•W N Venables, Brian D Ripley•Modern Applied Statistics with S…•2002

  • Local Spatial Autocorrelation Statistics

    Open Access•J Keith Ord, Arthur Getis•Geographical Analysis•1995

  • The Measurement of Observer Agreement for Categorical Data

    J R Landis, Gary G Koch•Biometrics•1977

  • Socioeconomic and environmental factors associated with malaria hotspots in the Nanoro demographic surveillance area, Burkina Faso

    Open Access•Toussaint Rouamba, Seydou Nakanabo‐Diallo et al.•BMC Public Health•2019

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae