Evidence map›Paper›PMID 35429984›Full record

ArticleBMC medical informatics and decision making2022

Mean generation function model in AIDS epidemic estimation.

Lei Yuan, Shiyin Tian, Zhe Zhao, Pei Liu, Lijuan Liu, Jinhai Sun

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In one paragraph

Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Neurocognitive function and its influencing factors in people living with HIV/AIDS.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    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

6 authors.

Lei Yuan *Department of Health Management, Faculty of Health Service, Second Military Medical University, Naval Medical University, No. 800 Xiangyin Road, Shanghai, 200433, People's Republic of China.
Shiyin Tian *Department of Health Management, Faculty of Health Service, Second Military Medical University, Naval Medical University, No. 800 Xiangyin Road, Shanghai, 200433, People's Republic of China.
Zhe Zhao *Department of Health Management, Faculty of Health Service, Second Military Medical University, Naval Medical University, No. 800 Xiangyin Road, Shanghai, 200433, People's Republic of China.
Pei Liu *Department of Mathematics and Physics, Faculty of Health Service, Naval Medical University, Shanghai, 200433, China.
Lijuan Liu *Department of Health Management, Faculty of Health Service, Second Military Medical University, Naval Medical University, No. 800 Xiangyin Road, Shanghai, 200433, People's Republic of China. liulijuan79@sina.com.
Jinhai Sun *Department of Health Management, Faculty of Health Service, Second Military Medical University, Naval Medical University, No. 800 Xiangyin Road, Shanghai, 200433, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the first case of HIV infection was reported in China in 1985, the incidence and mortality of AIDS have been increasing rapidly, which has caused serious damage to the life and health of people in China and all over the world. Therefore, it is of great significance to study the technique for predicting AIDS morbidity and mortality. The purpose of this research is to explore the applicability of the mean generation function model (MGFM) in the early warning of AIDS morbidity and mortality, to predict its prevalence trend, to enrich the prediction techniques and methods of AIDS research and to provide suggestions for AIDS transmission control.

methodsIn this research, the MGFM was applied to predict the incidence and mortality of AIDS in China. AIDS incidence and mortality data in China from 2008 to 2019 were used to construct the prediction model.

resultsThe MGFM can predict the annual incidence and mortality of AIDS. The model constructed in this research predicted that the incidence and mortality of AIDS in China will continue to increase from 2020 to 2023.

conclusionThe mean birth function model was an effective method to monitor and predict the changing trend of AIDS incidence and mortality in China.

Indexed as

Acquired Immunodeficiency SyndromeEpidemicsHIV InfectionsChinaHumansIncidencePrevalenceAIDSChinaForecastIncidenceMean generation function modelMortality

Identifiers

PMID35429984
PMCPMC9013215

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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.