Evidence map›Paper›PMID 31375094›Full record

ArticleMalaria journal2019

Theory of reactive interventions in the elimination and control of malaria.

Nakul Chitnis, Peter Pemberton-Ross, Josh Yukich, Busiku Hamainza, John Miller, Theresa Reiker, Thomas P Eisele, Thomas A Smith

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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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

8 authors at 4 institutions in 3 countries.

Nakul ChitnisDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, 4051, Basel, Switzerland. nakul.chitnis@unibas.ch.ORCID http://orcid.org/0000-0002-1103-9141
Peter Pemberton-RossDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, 4051, Basel, Switzerland.
Josh YukichCenter for Applied Malaria Research and Evaluation, Tulane University, School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Busiku HamainzaNational Malaria Control Centre, Ministry of Health, Lusaka, Zambia.
John MillerPATH Malaria Control and Evaluation Partnership in Africa (MACEPA), Lusaka, Zambia.
Theresa ReikerDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, 4051, Basel, Switzerland.
Thomas P EiseleCenter for Applied Malaria Research and Evaluation, Tulane University, School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Thomas A SmithDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, 4051, Basel, Switzerland.
Swiss Tropical and Public Health Institute · CHTulane University · USMinistry of Health · ZMNational HIV/AIDS/STI/TB Council · ZM

Funding

Bill and Melinda Gates Foundation OPP1032350Bill and Melinda Gates Foundation OPP1089412
6 · The paper itself

Abstract

backgroundReactive case detection (RCD) is an integral part of many malaria control and elimination programmes and can be conceived of as a way of gradually decreasing transmission. However, it is unclear under what circumstances RCD may have a substantial impact on prevalence, how likely it is to lead to local elimination, or how effective it needs to be to prevent reintroduction after transmission has been interrupted.

methodsAnalyses and simulations of a discrete time compartmental susceptible-infectious-susceptible (SIS) model were used to understand the mechanisms of how RCD changes transmission dynamics and estimate the impact of RCD programmes in a range of settings with varying patterns of transmission potential and programme characteristics. Prevalence survey data from recent studies in Zambia were used to capture the effects of spatial clustering of patent infections.

resultsRCD proved most effective at low prevalence. Increasing the number of index cases followed was more important than increasing the number of neighbours tested per index case. Elimination was achieved only in simulations of situations with very low transmission intensity and following many index cases. However, RCD appears to be helpful in maintaining the disease-free state after achieving malaria elimination (through other interventions).

conclusionRCD alone can eliminate malaria in only a very limited range of settings, where transmission potential is very low, and improving the coverage of RCD has little effect on this range. In other settings, it is likely to reduce disease burden. RCD may also help maintain the disease-free state in the face of imported infections. Prevalence survey data can be used to estimate a targeting ratio (the ratio of prevalence found through RCD to that in the general population) which is an important determinant of the effect of RCD.

Indexed as

Communicable Disease ControlDisease EradicationHumansMalariaModels, TheoreticalPrevalenceSpatial AnalysisZambiaEliminationMathematical modellingReactive case detection

Identifiers

PMID31375094
PMCPMC6679501
OpenAlexW2966378229

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.