Evidence map›Paper›PMID 36800946›Full record

ArticleBMC public health2023

Impact of the COVID-19 pandemic and the dynamic COVID-zero strategy on HIV incidence and mortality in China.

Lan Wang, Na Zhao, Yuliang Wang, Kaili Sun, Yike Wang, Shufang Huang, Feng Yao, Xiangyu Guo, Yunmei Yang, Chenjin Ma and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

11 authors at 8 institutions in 1 country.

Lan Wang *Department of Geriatrics, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Na Zhao *School of Ecology and Environment, Anhui Normal University, Wuhu, 241002, Anhui Province, China.
Yuliang Wang *Department of Immunology, Basic Medical School, Nanjing Medical University, Nanjing, 211166, China.
Kaili SunCollege of Statistics and Data Science, Faculty of Science, Beijing University of Technology, Beijing, 100124, China.
Yike WangSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510315, Guangdong Province, China.
Shufang HuangSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510315, Guangdong Province, China.
Feng YaoPeking University Health Science Center, Beijing, 100191, China.
Xiangyu GuoDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
Yunmei Yang *Department of Geriatrics, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China. 1194070@zju.edu.cn.
Chenjin Ma *College of Statistics and Data Science, Faculty of Science, Beijing University of Technology, Beijing, 100124, China. machenjin@bjut.edu.cn.
Shelan Liu *Department of Infectious Diseases, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang Province, China. liushelan@126.com.
Beijing University of Technology · CNFirst Affiliated Hospital Zhejiang University · CNGuangdong Pharmaceutical University · CNAnhui Normal University · CNCapital Medical University · CNNanjing Medical University · CNPeking University · CNZhejiang Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn response to the coronavirus disease 2019 (COVID-19) pandemic, the Chinese government implemented the dynamic COVID-zero strategy. We hypothesized that pandemic mitigation measures might have reduced the incidence, mortality rates, and case fatality ratios (CFRs) of the human immunodeficiency virus (HIV) in 2020-2022.

methodWe collected HIV incidence and mortality data from the website of the National Health Commission of the People's Republic of China from January 2015 to December 2022. We compared the observed and predicted HIV values in 2020-2022 with those in 2015-2019 using a two-ratio Z-test.

resultsFrom January 1, 2015, to December 31, 2022, a total of 480,747 HIV incident cases were reported in mainland China, of which 60,906 (per year) and 58,739 (per year) were reported in 2015-2019 (pre-COVID-19 stage) and 2020-2022 (post-COVID-19 stage), respectively. The average yearly HIV incidence decreased by 5.2450% (from 4.4143 to 4.1827 per 100,000 people, p <  0.001) in 2020-2022 compared with that in 2015-2019. However, the average yearly HIV mortality rates and CFRs increased by 14.1076 and 20.4238%, respectively (all p <  0.001), in 2020-2022 compared with those in 2015-2019. During the emergency phase in January 2020 to April 2020, the monthly incidence was significantly lower (23.7158%) than that during the corresponding period in 2015-2019, while the incidence during the routine stage in May 2020-December 2022 increased by 27.4334%, (all p <  0.001). The observed incidence and mortality rates for HIV decreased by 16.55 and 18.1052% in 2020, by 25.1274 and 20.2136% in 2021, and by 39.7921 and 31.7535% in 2022, respectively, compared with the predicted values, (all p <  0.001).

conclusionsThe findings suggest that China's dynamic COVID-zero strategy may have partly disrupted HIV transmission and further slowed down its growth. Without China's dynamic COVID-zero strategy, HIV incidence and deaths in the country would have likely remained high in 2020-2022. There is an urgent need to expand and improve HIV prevention, care, and treatment, as well as surveillance in the future.

Indexed as

COVID-19HIV InfectionsChinaHIVHumansIncidencePandemicsChinaCOVID-19HIVIncidenceMortalityNon-pharmaceutical interventions

Identifiers

PMID36800946
PMCPMC9938685
OpenAlexW4321328052

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.