Evidence map›Paper›PMID 33286998›Full record

ArticleEntropy (Basel, Switzerland)2020

Analysis of HIV/AIDS Epidemic and Socioeconomic Factors in Sub-Saharan Africa.

Shuman Sun, Zhiming Li, Huiguo Zhang, Haijun Jiang, Xijian Hu

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Mean generation function model in AIDS epidemic estimation.BMC medical informatics and decision making · 2022
    Article
  4. Applications of Information Theory to Epidemiology.Entropy (Basel, Switzerland) · 2020
    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

5 authors.

Shuman SunCollege of Mathematics and System Science, Xinjiang University, Urumqi 830046, China.
Zhiming LiCollege of Mathematics and System Science, Xinjiang University, Urumqi 830046, China.ORCID 0000-0002-6570-6325
Huiguo ZhangCollege of Mathematics and System Science, Xinjiang University, Urumqi 830046, China.
Haijun JiangCollege of Mathematics and System Science, Xinjiang University, Urumqi 830046, China.
Xijian HuCollege of Mathematics and System Science, Xinjiang University, Urumqi 830046, China.

Funding

Zhiming Li U1703237, 11661076, 12061070Zhiming Li XJEDU2017M001, 2018Q011
6 · The paper itself

Abstract

Sub-Saharan Africa has been the epicenter of the outbreak since the spread of acquired immunodeficiency syndrome (AIDS) began to be prevalent. This article proposes several regression models to investigate the relationships between the HIV/AIDS epidemic and socioeconomic factors (the gross domestic product per capita, and population density) in ten countries of Sub-Saharan Africa, for 2011-2016. The maximum likelihood method was used to estimate the unknown parameters of these models along with the Newton-Raphson procedure and Fisher scoring algorithm. Comparing these regression models, there exist significant spatiotemporal non-stationarity and auto-correlations between the HIV/AIDS epidemic and two socioeconomic factors. Based on the empirical results, we suggest that the geographically and temporally weighted Poisson autoregressive (GTWPAR) model is more suitable than other models, and has the better fitting results.

Indexed as

Fisher scoring algorithmHIV/AIDS epidemicNewton–Raphson procedureregression modeltime series

Identifiers

PMID33286998
PMCPMC7712028

What OpenQuestion holds

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LicenceCC BY
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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.