HIV and AIDS Research Journal

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Commentary, Hiv Aids Res J Vol: 5 Issue: 2

A Global Scoping Review for Human Immunodeficiency Virus Research

Marcus Silva*

Faculty of medicine, University Federal do Amazonas, Manaus, Brazil

*Corresponding Author: Marcus Silva
Faculty of medicine, University Federal do Amazonas, Manaus, Brazil
Email: [email protected]

Received date: 03 February, 2022, Manuscript No. HARJ-22-62516;
Editor assigned date: 07 February, 2022; PreQC No. HARJ-22-62516 (PQ);
Reviewed date: 21 February, 2022, QC No. HARJ-22-62516;
Revised date: 28 February, 2022, Manuscript No. HARJ-22-62516(R);
Published date: 07 March, 2022, DOI: 10.37532/HARJ.1000109.

Citation: Silva M(2022) A Global Scoping Review for Human Immunodeficiency Virus Research. HIV AIDS Res J 10:2.

Keywords: fit medicines

Description

The global Mortal Immunodeficiency Contagion epidemic disproportionately affects crucial populations, including people who fit medicines (PWID), men who have coitus with men (MSM), ambisexual persons and marketable coitus workers. Crucial populations are vulnerable groups of HIV infection due to specific advanced- threat actions PWID were chosen because of the sharing of needles and hypes; MSM were chosen because of anal coitus without condoms; CSW were chosen because of the total frequence of sexual actions (the larger total figures, the larger parlous figures). Understanding the HIV burden among the crucial populations is essential for estimating the overall burden of HIV both encyclopedically and regionally. Population size estimation is an important step towards understanding the HIV burden, and accurate size estimation of crucial populations can inform resource allocation and distribution of HIV forestallment services. Still, due to the retired nature of some of these populations, estimating the population size of crucial populations is grueling. First, the styles for population size estimation have natural impulses. For illustration, data inputs used by some styles may not reflect factual conditions if the quality of data can't be promised. Second, crucial populations may be hard to reach because of colorful reasons, similar as social smirch and demarcation.

Being literature related to the size estimation of the crucial population demonstrated the strengths and dearths of the presently being styles. Still, veritably many studies have totally epitomized the orders of preliminarily used styles or refocused out their problems, which didn't give farther guidance in using these styles in the unborn study. The traditionally used styles have colorful natural impulses. Either, the vacuity of dependable and authentic data has been a big challenge. For illustration, admitting the actuality of crucial populations by public health installations or the government is grueling. Estimating the size of the crucial populations is particularly grueling in Eastern Mediterranean, Middle East, and North Africa Region because conservative social and religious values may beget harsh judgment and may indeed bring life-threatening discipline.

 There are several papers comparing different population size estimation styles, though generally confined in specific area or limited system orders (). Still, how to find the stylish strategy grounded on the original environment is the current knowledge gap. To fill the knowledge gap, this scoping review examined population size estimation styles in different settings among crucial populations. This study aimed to epitomize the operation of the being population estimation styles and bandy their separate strengths and sins.

Hunt Strategy

Applicable studies published from January 2000 to 4th August 2020 and related to population size estimation were recaptured from PubMed Search terms were chosen grounded on the applicability to the content of this study. Search terms included"people who fit medicines";" men who have coitus with men";" ambisexual persons";" coitus workers"in combination with"size estimate"and"size estimation". We used the PRISMA roster for scoping reviews. This review was completed on 20th August 2021.

Selection Criteria

Afterde-duplication, the nonduplicate publications were recaptured from PubMed, and further reviewed singly by two experimenters to determine to identify the final studies to be included. Only publications related to the slice styles of population size estimation among the crucial populations and have referential meaning for the operation of these colorful styles were included in the final review. We barred studies that weren't related to the content of this review or had no suggestive meaning for the unborn design of population size estimation styles. The titles, objectifications, and full textbooks of all publications were screened by two independent pundits (FJ and CX). Still, the three authors (FJ, CX, If it wasn't clear whether a study should be included in the final review. A standardized birth form was performed using Microsoft Excel to prize the first author, date of publication, and size estimation slice system of crucial populations. The publications were distributed into five orders. These include styles grounded on independent samples, styles grounded on population counting, styles grounded on the sanctioned report, styles grounded on social networks, and styles grounded on data- driven technologies

Text Booby-Trapping

Text mining, also named textbook data mining, refers to the process that adopts computer wisdom and artificial intelligence technologies in natural language processing tasks for rooting structured information from unshaped textbook. Through textbook mining, we can identify meaningful patterns and new perceptivity. In order to illustrate exploration trends of HIV crucial population size estimation papers, we employed a semantic analysis tool, CiteSpace, which is particularly generally used in the discipline of scientometrics. Text mining results grounded on full textbook of all named studies, this tool can help us to develop relation graphs of important exploration words in structured particulars. Notice that Citespace can only run on the platform of Web of Science, also therefore our full textbook mining results are grounded on studies whose full textbook could be recaptured on Web of Science ( i.e., all eligible full- textbook studies). Likewise, this tool can also display relations among crucial words of being exploration. In summary, to develop relation graphs among keywords as well as exploration trends about the content of HIV crucial population size estimation, we employed textbook mining of all eligible full- textbook studies to more capture the connections among several keywords. Although some new styles for population size estimation have surfaced in recent times, a large number of checks have been conducted using the prisoner- regain system. This system can give accurate estimates at a low cost. In general, the premise of this analysis is grounded on the imbrication between several samples of the crucial population. The process of the prisoner- regain system includes two separate captures. Crucial populations are pronounced and counted in the two captures singly. Some actors captured in the alternate prisoner may have formerly been marked in the first prisoner. In order to help the collection of particular identification information, unique objects similar as tickets are generally used to identify recoupments.

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