Evidence map›Paper›PMID 36639160›Full record

ArticleBMJ global health2023

Spatiotemporal dynamics of malaria in Zanzibar, 2015-2020.

Donal Bisanzio, Shabbir Lalji, Faiza B Abbas, Mohamed H Ali, Wahida Hassan, Humphrey R Mkali, Abdul-Wahid Al-Mafazy, Joseph J Joseph, Ssanyu Nyinondi, Chonge Kitojo and 5 more

Abstract read
In one paragraph

Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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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

15 authors.

Donal BisanzioRTI International, Washington, District of Columbia, USA.
Shabbir LaljiRTI International, Dar es Salaam, United Republic of Tanzania.
Faiza B AbbasZanzibar Malaria Elimination Programme, Ministry of Health, Stone Town, Zanzibar, United Republic of Tanzania.
Mohamed H AliZanzibar Malaria Elimination Programme, Ministry of Health, Stone Town, Zanzibar, United Republic of Tanzania.
Wahida HassanZanzibar Malaria Elimination Programme, Ministry of Health, Stone Town, Zanzibar, United Republic of Tanzania.
Humphrey R MkaliRTI International, Dar es Salaam, United Republic of Tanzania.ORCID 0000-0002-6178-481X
Abdul-Wahid Al-MafazyRTI International, Dar es Salaam, United Republic of Tanzania.
Joseph J JosephRTI International, Dar es Salaam, United Republic of Tanzania.ORCID 0000-0002-7971-7252
Ssanyu NyinondiRTI International, Dar es Salaam, United Republic of Tanzania.
Chonge KitojoU.S. President's Malaria Initiative, U.S. Agency for International Development, Dar es Salaam, United Republic of Tanzania.
Naomi SerbantezU.S. President's Malaria Initiative, U.S. Agency for International Development, Dar es Salaam, United Republic of Tanzania.
Erik ReavesU.S. President's Malaria Initiative, U.S. Centers for Disease Control, Dar es Salaam, United Republic of Tanzania.
Erin EckertRTI International, Washington, District of Columbia, USA.
Jeremiah M NgondiRTI International, Washington, District of Columbia, USA.
Richard ReithingerRTI International, Washington, District of Columbia, USA rreithinger@yahoo.co.uk.ORCID 0000-0001-5710-1556

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite high coverage of malaria interventions, malaria elimination in Zanzibar remains elusive, with the annual number of cases increasing gradually over the last 3 years.

objectiveThe 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.

methodsIn 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.

resultsFrom 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.

conclusionsOur 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.

Indexed as

MalariaHumansSeasonsTanzaniaEpidemiologyMalariaPublic Health

Identifiers

PMID36639160
PMCPMC9843203

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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.