Evidence map›Paper›PMID 27118395›Full record

ArticleMathematical medicine and biology : a journal of the IMA2017

Mass drug administration: the importance of synchrony.

Daozhou Gao, Thomas M Lietman, Chao-Ping Dong, Travis C Porco

Abstract read
In one paragraph

Article in Mathematical medicine and biology : a journal of the IMA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Models of Trachoma Transmission and Their Policy Implications: From Control to Elimination.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Review
  6. Products of Compartmental Models in Epidemiology.Computational and mathematical methods in medicine · 2017
    Article
  7. Hamiltonian Analysis of Subcritical Stochastic Epidemic Dynamics.Computational and mathematical methods in medicine · 2017
    Article
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

4 authors.

Daozhou GaoMathematics and Science College, Shanghai Normal University, Shanghai 200234, China and Francis I. Proctor Foundation, University of California, San Francisco, CA 94143-0412, USA.
Thomas M LietmanFrancis I. Proctor Foundation, University of California, San Francisco, CA 94143-0412, USA.
Chao-Ping DongInstitute of Mathematics, Hunan University, Changsha, Hunan 410082, China and.
Travis C PorcoFrancis I. Proctor Foundation, University of California, San Francisco, CA 94143-0412, USA.

Funding

TANA IIU10EY016214 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIETMAN, THOMAS M · 2004 to 2013
$4.4M
Forecasting Trachoma Control - Diversity SupplementR01EY025350 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI THOMAS M LIETMAN, Travis Christian Porco · 2016 to 2026
$3.3M
"Modeling contact investigation and rapid response"U01GM087728 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PORCO, TRAVIS CHRISTIAN · 2011 to 2015
$2.2M
NEI NIH HHS R01 EY025350NEI NIH HHS U10 EY016214NIGMS NIH HHS U01 GM087728
6 · The paper itself

Abstract

Mass drug administration, a strategy in which all individuals in a population are subject to treatment without individual diagnosis, has been recommended by the World Health Organization for controlling and eliminating several neglected tropical diseases, including trachoma and soil-transmitted helminths. In this article, we derive effective reproduction numbers and average post-treatment disease prevalences of a simple susceptible-infectious-susceptible epidemic model with constant, impulsive synchronized and non-synchronized drug administration strategies. In the non-synchronized model, the individuals in the population are treated at most once per period and their treatment times are uniformly distributed. Mathematically, the set of pulses for the non-synchronized model has the cardinality of the continuum. We show that synchronized and constant strategies are, respectively, the most and least effective treatments in disease control. Elimination through synchronized treatment is always possible when adequate drug efficacy and coverage are fulfilled and sustained. For a strategy with multiple rounds of synchronized treatment per period, the average post-treatment prevalence is irrelevant what the time differences between treatments are, as long as there are the same number of treatments per period.

Indexed as

Anti-Infective AgentsBasic Reproduction NumberCommunicable Disease ControlComputer SimulationHelminthiasisHumansMathematical ConceptsModels, BiologicalNeglected DiseasesPrevalenceTrachomaTropical MedicineWorld Health OrganizationAnti-Infective Agentscost-effectivenesseffective reproduction numbernon-synchronized treatmentsynchronized treatmenttrachoma

Identifiers

PMID27118395
PMCPMC6201266

What OpenQuestion holds

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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.