<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>Journal of Occupational Health and Epidemiology</title>
<title_fa></title_fa>
<short_title>J Occup Health Epidemiol</short_title>
<subject>Medical Sciences</subject>
<web_url>http://johe.rums.ac.ir</web_url>
<journal_hbi_system_id>224</journal_hbi_system_id>
<journal_hbi_system_user>admin</journal_hbi_system_user>
<journal_id_issn>2251-8096</journal_id_issn>
<journal_id_issn_online>2252-0902</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi>10.61882/johe</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid></journal_id_sid>
<journal_id_nlai></journal_id_nlai>
<journal_id_science>0</journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1400</year>
	<month>1</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2021</year>
	<month>4</month>
	<day>1</day>
</pubdate>
<volume>10</volume>
<number>2</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Prevalence of Occupational Injury among Workers in the Construction, Manufacturing, and Mining Industries in Africa: A Systematic Review and Meta-analysis</title>
	<subject_fa></subject_fa>
	<subject>Occupational Health</subject>
	<content_type_fa></content_type_fa>
	<content_type>Review Article</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;p style=&quot;text-align: justify;&quot;&gt;&lt;span style=&quot;font-size:12px;&quot;&gt;&lt;span style=&quot;font-family:Arial;&quot;&gt;&lt;a name=&quot;OLE_LINK26&quot;&gt;&lt;/a&gt;&lt;a name=&quot;OLE_LINK25&quot;&gt;&lt;strong&gt;Background: &lt;/strong&gt;&lt;/a&gt;Despite the volume of existing literature on the prevalence of occupation-related injuries in Africa, it is fragmented across a broader spectrum and difficult to quickly understand the average magnitude. Besides, there is a lack of empirical shreds of evidence on the regional pooled estimate. Hence, the study aimed to develop the regional pooled estimates of occupation-related injuries among workers in Africa&amp;#39;s industries.&lt;br&gt;
&lt;strong&gt;Materials and Methods: &lt;/strong&gt;The study followed preferred reporting items for systematic reviews and meta-analyses guidelines. The used databases included Scopus, PubMed, Science Direct, and Cochrane Library. Further, a modified version of the Newcastle-Ottawa Quality Assessment was used for the critical appraisal of studies. The pooled prevalence of injury was computed using STATA version 14 statistical software. Funnel plot and Egger&amp;#39;s tests were conducted to evaluate publication bias. The study assessed the heterogeneity using the I-squared test and Galbraith plot.&lt;br&gt;
&lt;strong&gt;Results: &lt;/strong&gt;Out of 603 accessed studies, 20 that met the eligibility criteria were included. The pooled prevalence of occupational injury in Africa was 57% (95% CI: 48, 67). Totally, 62% (95% CI: 44, 77), 57% (95% CI: 38, 76), and 51% (95% CI: 32, 69) of injuries were identified in the manufacturing, construction, and mining sites, respectively, based on the subgroup analysis.&lt;br&gt;
&lt;strong&gt;Conclusions: &lt;/strong&gt;The rate of occupation-related injuries is dramatically increasing. Such injury is one of the immense concerns for workers&amp;#39; health and safety in Africa. Hence, the stakeholders should carry out rigorous law enforcement to ensure compliance with health and safety measures.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Construction,Occupational Injury,Prevalence,Manufacturing,Mining,Systematic Review,Africa,</keyword>
	<start_page>113</start_page>
	<end_page>126</end_page>
	<web_url>http://johe.rums.ac.ir/browse.php?a_code=A-10-407-1&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Mitiku Bonsa</first_name>
	<middle_name></middle_name>
	<last_name>Debela</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mitikubonsa8@gmail.com</email>
	<code>22400319475328460011890</code>
	<orcid>22400319475328460011890</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Master of Public Health in Epidemiology, School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Ethiopia.</affiliation>
	<affiliation_fa>Bahir Dar University, Ethiopia</affiliation_fa>
	 </author>


	<author>
	<first_name>Muluken</first_name>
	<middle_name></middle_name>
	<last_name>Azage</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>akiyamuluken19@gmail.com</email>
	<code>22400319475328460011891</code>
	<orcid>22400319475328460011891</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>PhD, Schools of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Ethiopia. </affiliation>
	<affiliation_fa>Bahir Dar University, Ethiopia</affiliation_fa>
	 </author>


	<author>
	<first_name>Achenef Motbainor</first_name>
	<middle_name></middle_name>
	<last_name>Begosaw</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>motbainor2@gmail.com</email>
	<code>22400319475328460011892</code>
	<orcid>22400319475328460011892</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>PhD, Schools of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Ethiopia. </affiliation>
	<affiliation_fa>Bahir Dar University, Ethiopia</affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
