Statistical Models for Infectious Diseases: A Useful Tool for Practical Decision-Making.

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.

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.

Who cites it

4 citing papers in PubMed.

1. Trend determination of methicillin-resistantNorthern clinics of Istanbul · 2025
   Article
2. Application of logistic differential equation models for early warning of infectious diseases in Jilin Province.BMC public health · 2022
   Article
3. Evolution of Select Epidemiological Modeling and the Rise of Population Sentiment Analysis: A Literature Review and COVID-19 Sentiment Illustration.International journal of environmental research and public health · 2022
   Review
4. The collaboration between infectious disease modeling and public health decision-making based on the COVID-19.Journal of safety science and resilience = An quan ke xue yu ren xing (Ying wen) · 2021
   Article

Corrections and comments

• Comment on
  Assessment of Area-Level Disease Control and Surveillance Vulnerabilities: An Application to Visceral Leishmaniasis in Brazil.2019

Authors and funding

2 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

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