Skip to main content

The prevalence of tuberculosis, malaria and soil-transmitted helminth infection in minority indigenous people of Southeast Asia and the Western Pacific: protocol for a systematic review and meta-analysis

Abstract

Background

Infectious diseases such as tuberculosis (TB), malaria and soil-transmitted helminthiasis continue to impose a significant global health burden and socio-economic impact. Globally, minority indigenous people are disproportionately affected by poverty and are shown to experience a disparate burden of disease and poorer health outcomes than the comparative majority population. Despite these inequalities, countries rarely systematically compile epidemiological data disaggregated by ethnicity to enable the extent of the differential to be quantified.

Methods

The systematic review will be reported in accordance with The Preferred Reporting Items for Systematic Review and Meta- Analyses (PRISMA) guidelines. Systematic searches will be conducted in EMBASE, Medline, Scopus and Web of Science for studies reporting data which enable the prevalence of TB, malaria, and/or soil-transmitted helminth (STH) infections amongst minority indigenous populations within the Southeast Asia Region (SEAR) and Western Pacific Region (WPR) to be calculated.

Where studies provide data on disease prevalence for both minority indigenous and other populations within the same study, a comparative analysis will be undertaken. In addition to a narrative synthesis, where sufficient data are available, a random-effects meta-analysis will be conducted to obtain a pooled estimate value for each disease/infection by country and mortality stratum.

Heterogeneity between studies will be examined using the Cochran’s Q test and quantitatively measured by the index of heterogeneity squared (I2) statistics. The methodological quality of the included studies will be assessed using a modified Newcastle-Ottawa Scale.

Discussion

This systematic review aims to analyse the available data on the prevalence of TB, malaria and STH infections within minority indigenous populations of the SEAR and WPR.

Registration

Open Science Framework registration: osf.io/m6sqc

Peer Review reports

Background

Despite impacting human health since ancient times [1,2,3], tuberculosis (TB), malaria, and soil-transmitted helminth (STH) infections continue to create a significant social and economic burden.

TB, an airborne bacterial disease caused by the bacterium Mycobacterium tuberculosis ranks in the top ten causes of death worldwide, killing more than 1.5 million people in 2018 [4]. TB is second to Coronavirus disease 2019 (COVID-19) as a leading cause of death due to a single infectious agent [5].

The protozoan parasite Plasmodium spp., transmitted via the female Anopheline mosquito vector, is responsible for causing malaria. In 2018, malaria is estimated to have caused 228 million cases of disease and 405,000 deaths worldwide [6].

STH infections are a neglected tropical disease (NTD) caused by parasitic nematode worms, including Ascaris lumbricoides (roundworm), Trichuris trichiura (whipworm), and Necator americanus and Ancylostoma spp. (hookworm). Together, these parasites are thought to infect more than 1.5 billion people [7], a figure which equates to 19% of the world’s population. Although currently excluded from STH statistics, Strongyloides stercoralis is another pathogenic nematode of significance to human health.

Despite rarely causing mortality, STH infections are of major significance with respect to their burden of morbidity [8] and they are the most prevalent of the NTDs as defined by the World Health Organization (WHO) [9].

In 2016, 51.6 million disability adjusted life years (DALYs) were lost due to TB, 37.3 million DALYs were lost due to malaria and 3.4 million DALYs were lost due to STH infections globally [10]. These three diseases also have a substantial impact on the global economy. TB-related mortality was estimated to cause the loss of 616 billion USD between 2000 and 2015 and is projected to lead to a further loss of 984 billion USD between 2015 and 2030 [11]. Countries where severe malaria (malaria index > 0.5) is endemic are estimated to experience a 1.3% lower economic growth rate per annum [12]. The economic impact of STH infections is difficult to quantify, but mathematical modelling estimates the impact of hookworm infection to cost $2.5 to $138.9 billion per annum [13].

The organisms responsible for TB, malaria and STH infections are endemic in the tropics and are more prevalent amongst populations living in poverty [7, 14,15,16,17]. Globally, minority indigenous people are shown to be disproportionately affected by poverty, with their representation amongst the poor reaching 60–70% in some regions [18]. Minority indigenous people experience a disproportionate burden of disease and poorer health outcomes than their majority population counterparts [19,20,21].

In 2015, all member states of the United Nations endorsed the 2030 Agenda for Sustainable Development [22]. This is an ambitious agenda that calls on all countries to end poverty whilst achieving social, economic and environmental sustainability in an equitable manner [22]. A commitment of the Agenda is that “no one will be left behind” and that endeavours will be made to “reach the furthest behind first” [22].

The effective transformation of the Agenda goals into realistic interventions requires an accurate understanding of target populations and their relative disease burden [23]. At present, data and current indicators are rarely disaggregated to facilitate the identification of vulnerable groups [23].

Although studies have been undertaken on the prevalence of infectious diseases within individual indigenous groups, disease burden is not well understood within the context of minority indigenous people as a collective. Data on these vulnerable groups are crucial in facilitating achievement of the 2030 Sustainable Development Goals and enabling industrialized nations to narrow the health gap between their minority indigenous and majority populations.

A systematic review of disease prevalence in minority indigenous populations will provide a baseline and identify data gaps for this vulnerable population group as a collective.

This paper describes the protocol for a systematic review to determine the prevalence of TB, malaria, and STH infections among minority indigenous people of the WHO Southeast-Asia Region (SEAR) and Western Pacific Region (WPR). TB, malaria, and STH infections have been chosen as they are of major global health significance, and they have social determinants (such as poverty and health service inaccessibility) that make minority indigenous people particularly vulnerable to infection. The SEAR and WPR have been chosen to capture a significant proportion of the world’s indigenous people [24] whilst also providing an opportunity to compare data across countries with differing levels of socio-economic development.

Methods/design

This protocol is reported in accordance with Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) guidelines [25], the checklist for which is detailed in Additional file 1. If there is a need to amend this protocol, the date of each amendment and the reason for the change will be described.

Search strategy

A systematic search for epidemiological studies will be conducted in four biomedical databases: EMBASE (Ovid), Medline (Ovid), Scopus, and Web of Science. The search strategy has been developed with the help of a professional librarian and will be undertaken without restriction on the year of publication. Grey literature and regional databases will be included in the search and reference lists from relevant studies hand-searched. Forward and backward citation searching will be undertaken using Google Scholar to identify related articles. Authors of relevant papers will be contacted when there is a need for additional information.

The WHO Global Burden of Disease (GBD) regional classification system [26] will be used to define the countries within the SEAR and WPR. Singapore will be excluded as it does not have any minority indigenous people according to the definitions utilized by this review.

Although there is no universally accepted definition of ‘indigenous status,’ the United Nations (UN) and the International Labour Organization (ILO) Indigenous and Tribal People Convention (#169) utilise a number of attributes to define indigenous people [27, 28]. For the purposes of this review, the UN attributes will be included, and indigenous minorities will be defined as population groups who meet each of the following criteria:

  • Descendants of the original or earliest known inhabitants of an area; people who have historical continuity with pre-invasion and pre-colonial societies [28,29,30]

  • Distinct societies with languages, culture, customs, and social and political frameworks which vary significantly from those of the dominant population [18, 28,29,30,31]

  • Groups of people with strong cultural ties and dependence upon the environment and its resources for their survival [21, 28, 29, 31]

  • People self-identifying as indigenous [28]

  • Groups who face relative disadvantage or discrimination in multiple areas of social existence—success, education, healthcare, employment [19, 28, 32]

  • Numerically non-dominant groups in a country or area [28]

In addition to universal indigenous terms, those relevant to each country will be used as detailed in Additional file 1. Country-specific indigenous terms have been derived from the World Directory Listing of Minorities and Indigenous People [33], Native Planet–Indigenous Mapping [34], and the International Working Group on Indigenous Affairs [35].

The following search terms will be used to identify studies on TB, malaria, and STH infections: “soil transmitted helminth*” OR STH OR Ascaris OR Trichuris OR Nectator OR Ancylostoma OR hookworm* OR Strongyloides OR malaria* OR plasmodi* OR tuberculosis OR TB OR “Mycobacterium tuberculosis”. The Plasmodium and helminth species that will be included within the review are detailed in the inclusion criteria. An example search strategy for Indonesia is detailed in Additional file 1.

Study selection

All articles identified from the systematic search will be uploaded into Endnote X9 (Clarivate Analytics) and duplicate articles removed. Two researchers (BG and KAA) will independently screen the titles and abstracts of the studies on Rayyan QCRI [36] and will then review the full text against the eligibility criteria. Any disagreements will be resolved through discussion and, in the event consensus cannot be achieved, agreement will be reached following discussions with a third author (ACAC).

Inclusion criteria

Studies are required to meet each of the following inclusion criteria:

  • Studies that relate to human infection: for malaria, studies on Plasmodium vivax, Plasmodium falciparum, Plasmodium ovale, and Plasmodium malariae which undergo human-to-human transmission and the zoonotic species Plasmodium knowlesi; for STH infections, studies on A. lumbricoides (roundworms), T. trichiura (whipworms), N. americanus and Ancylostoma duodenale (hookworms), Strongyloides stercoralis (threadworms), and the zoonotic hookworm species Ancylostoma ceylanicum, Ancylostoma caninum, and Ancylostoma braziliense

  • Studies including minority indigenous populations

  • Studies that report sufficient data to facilitate the calculation of TB, malaria, or STH prevalence

  • Studies conducted within the SEAR or WPR as defined by the WHO regional classification system [26]

  • Cross-sectional studies/ representative surveys

  • Where studies undertake analyses pre and post intervention regimes, only pre-intervention baseline data will be recorded

Exclusion criteria

Studies will be excluded if they meet any of the following criteria:

  • Case studies

  • Case series with < 10 people

  • Scientific correspondence, poster, and conference abstracts

  • Systematic or literature reviews

  • Due to resource constraints, articles not published in English will be excluded

  • Papers where minority indigenous people comprise less than 90% of the group stated to be an indigenous minority population for the purpose of calculating prevalence in the indigenous minority group

  • Studies on latent TB; diagnostic methods must be able to confirm active disease (i.e., studies utilizing Mantoux testing as the sole diagnostic will be excluded)

Data extraction

Data from the included studies will be independently extracted in a Microsoft Excel (version 2014) spreadsheet by BG and KAA. The data extraction spreadsheet will be piloted on five papers and then refined, if needed. Corresponding authors will be contacted by e-mail if relevant information is missing or unclear. If clarifications are not received within 4 weeks, the study will be excluded.

Where available, the following data will be extracted from each eligible publication: first author, year of publication, year of study, geographic location of study population (country, region), sample size, demographic factors (age group and sex), study design, bacteria/parasite species, number of people within sample population who are infected, diagnostic method utilised, number of samples taken and analyzed per participant, study population (minority indigenous/other), name of minority indigenous group, co-infection (name of infectious agent), and number of participants co-infected with multiple infectious agents.

Where studies undertake a comparison between minority indigenous and other population groups, data will be extracted for both groups to facilitate a comparison. A data extraction tool is provided in Additional file 1.

Quality and bias assessment

The methodological quality of the included studies will be assessed by two investigators (BG and KAA) using a modified version of the Newcastle-Ottawa Quality Assessment Scale [37] as detailed in Additional file 1. The quality assessment tool will be piloted on 10 randomly selected papers to increase agreement between the two reviewers, and any subsequent differences will be resolved through discussion with a third reviewer (ACAC). The QA tool has scores ranging from 0 to 9; scores between 1 and 4 will be defined as low quality, scores between 5 and 7 will be defined as medium quality, and scores between 8 and 9 will be defined as high quality. Sensitivity analyses will be performed to assess the impacts of methodological quality on the results of the review.

Funnel plots will be used to detect potential publication bias and small study effects. Egger’s method will be used to assess asymmetry, with a P value < 0.05 considered to indicate statistically significant publication bias [38].

Quantitative analysis

The primary outcomes are the prevalence of TB, malaria, and STH infection among minority indigenous populations within the SEAR and WPR and across different mortality strata as defined by the WHO [26].

A random-effects meta-analysis will be used to obtain a pooled estimate value for each of the outcomes of interest. Where sufficient studies are available (three or more studies), subgroup analysis will be performed to assess the effects of each study characteristic on the primary outcomes of the study. A comparison will be made between minority indigenous and other population groups if sufficient data are available from studies that compare these groups directly. Heterogeneity between studies will be examined using the Cochran’s Q test and quantitatively measured by the index of heterogeneity squared (I2) statistics with 95% confidence intervals (CI) [39]. Heterogeneity between studies will be considered low, moderate, and high when I2 values are below 25%, between 25% and 75%, and above 75%, respectively [39]. When there is evidence of significant heterogeneity, the sources of heterogeneity will be explored through meta-regression using study characteristics (e.g., country, mortality strata, diagnostic method) as covariates. The analysis will be conducted in Stata/MP version 18 (StataCorp, College Station, TX, USA).

Discussion

To address the issues of poverty, inequality, and the impact of infectious diseases such as TB, malaria, and soil-transmitted helminthiasis, several global goals and strategies have been endorsed. These include the 2030 Sustainable Development Agenda [22], the WHO 2016–2035 End TB Strategy [40], the WHO Global Technical Strategy for Malaria 2016–2030 [41], and the WHO 2030 targets for STH control programs [42].

Due to poverty, increased exposure to proximal determinants of disease, and living in remote and isolated locations, minority indigenous people have been shown to experience a disparate burden of TB, malaria, and STH infections [43,44,45,46,47].

These health inequalities are significant in all societies because, although minority indigenous people living in industrialized countries have a lower burden of disease relative to those living in developing countries, the differential in disease burden between indigenous and majority populations has been shown to be greater in industrialized nations [44].

If the WHO targets and the 2030 Sustainable Development Agenda goals are to be accomplished, the prevalence of infectious diseases amongst vulnerable groups needs to be quantified. The WHO Constitution defines health as “a state of complete physical, mental, and social well-being and not merely the absence of disease or infirmity” [48]. This definition highlights a holistic approach which more closely aligns with the harmonious lifestyle fundamental to indigenous culture [49]. To be successful, health systems need to respect indigenous culture [50] and embrace its positive attributes [51]. The findings of this systematic review will identify data gaps and provide information on the prevalence of disease burden which can be used to inform strengths based and community-led intervention.

Availability of data and materials

All the required information is available in the manuscript and supporting documents.

Abbreviations

CI:

Confidence Interval

DALY:

Disability adjusted life year

GBD:

Global Burden of Disease

I2 :

Index of heterogeneity squared

ILO:

International Labour Organization

NTD:

Neglected tropical disease

PRISMA-P:

Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols

SEAR:

Southeast Asia Region

STH:

Soil-transmitted helminth

TB:

Tuberculosis

UN:

United Nations

WHO:

World Health Organization

WPR:

Western Pacific Region

References

  1. 1.

    Hotez PJ, Brindley PJ, Bethony JM, King CH, Pearce EJ, Jacobson J. Helminth infections: the great neglected tropical diseases. J Clin Invest. 2008;118(4):1311–21. https://doi.org/10.1172/JCI34261.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  2. 2.

    Cox F. History of the discovery of the malaria parasites and their vectors. Parasit Vectors. 2010;3(1):5. https://doi.org/10.1186/1756-3305-3-5.

    Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Daniel T. The history of tuberculosis. Respir Med. 2006;100(11):1862–70. https://doi.org/10.1016/j.rmed.2006.08.006.

    Article  PubMed  Google Scholar 

  4. 4.

    World Health Organization. Global tuberculosis report 2019. Geneva (Switzerland): World Health Organization; 2019.

    Google Scholar 

  5. 5.

    ChildFund Australia. TB and COVID-19: fighting infectious diseases in PNG 2021 [Available from: https://www.childfund.org.au/stories/tb-and-covid-19-fighting-infectious-disease-in-png/.

  6. 6.

    World Health Organization. World Malaria Report 2019. 2019.

    Book  Google Scholar 

  7. 7.

    World Health Organization. Soil-transmitted helminth infections 2019 [updated 14.03.19. Available from: https://www.who.int/news-room/fact-sheets/detail/soil-transmitted-helminth-infections.

  8. 8.

    Campbell SJ, Nery SV, Doi SA, Gray DJ, Magalhães RJ, McCarthy JS, et al. Complexities and perplexities: a critical appraisal of the evidence for soil-transmitted helminth infection-related morbidity. PLoS Negl Trop Dis. 2016;10(5).

  9. 9.

    World Health Organisation. Soil-transmitted helminthiases [Available from: https://www.who.int/health-topics/soil-transmitted-helminthiases#tab=tab_1.

  10. 10.

    Global Health Estimates 2016: Disease burden by cause, age, sex, by country and by region, 2000-2016 [Internet]. 2018 [cited 26.07.19]. Available from: https://www.who.int/healthinfo/global_burden_disease/estimates/en/index1.html.

  11. 11.

    KPMG. Global economic impact of tuberculosis. 2017.

    Google Scholar 

  12. 12.

    Gallup JL, Sachs JD. The economic burden of malaria. The American Journal of Tropical Medicine and Hygiene. 2001;64(1_suppl):85–96.

    CAS  Article  Google Scholar 

  13. 13.

    Bartsch SM, Hotez PJ, Asti L, Zapf KM, Bottazzi ME, Diemert DJ, et al. The global economic and health burden of human hookworm infection. PLoS Negl Trop Dis. 2016;10(9).

  14. 14.

    Gordon CA, Kurscheid J, Jones MK, Gray DJ, McManus DP. Soil-transmitted helminths in tropical Australia and Asia. Tropical Medicine and Infectious Disease. 2017;2(4):56. https://doi.org/10.3390/tropicalmed2040056.

    Article  PubMed Central  Google Scholar 

  15. 15.

    Centres for Disease Control and Prevention. Malaria's impact worldwide n.d. [Available from: https://www.cdc.gov/malaria/malaria_worldwide/impact.html.

  16. 16.

    Worrall E, Basu S, Hanson K. Is malaria a disease of poverty? A review of the literature. Tropical Med Int Health. 2005;10(10):1047–59. https://doi.org/10.1111/j.1365-3156.2005.01476.x.

    CAS  Article  Google Scholar 

  17. 17.

    Lancet T. Tackling poverty in tuberculosis control. In: Tackling poverty in tuberculosis control: Elsevier; 2005.

    Chapter  Google Scholar 

  18. 18.

    The World Bank. Partnering with indigenous peoples and ethnic minorities through community-driven development 2016 [updated 11.05.16. Available from: https://www.worldbank.org/en/news/feature/2016/05/11/partnering-with-indigenous-peoples-and-ethnic-minorities-through-community-driven-development.

  19. 19.

    Schratz A, Pineda MF, Reforma LG, Fox NM, Le Anh T, Tommaso Cavalli-Sforza L, et al. Neglected diseases and ethnic minorities in the Western Pacific Region exploring the links. Adv Parasitol. 2010;72:79–107. https://doi.org/10.1016/S0065-308X(10)72004-2.

    Article  PubMed  Google Scholar 

  20. 20.

    Knibbs LD, Sly PD. Indigenous health and environmental risk factors: an Australian problem with global analogues? Glob Health Action. 2014;7:23766.

    Article  Google Scholar 

  21. 21.

    Gracey M, King M. Indigenous health part 1: determinants and disease patterns. Lancet. 2009;374(9683):65–75. https://doi.org/10.1016/S0140-6736(09)60914-4.

    Article  PubMed  Google Scholar 

  22. 22.

    United Nations. Transforming our world: the 2030 agenda for sustainable development 2015.

    Google Scholar 

  23. 23.

    United Nations. The Sustainable Development Goals Report 2016 Leaving no one behind n.d. [Available from: https://unstats.un.org/sdgs/report/2016/leaving-no-one-behind.

  24. 24.

    Amnesty International. Indigenous peoples [Available from: https://www.amnesty.org/en/what-we-do/indigenous-peoples/.

  25. 25.

    Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Systematic reviews. 2015;4(1):1. https://doi.org/10.1186/2046-4053-4-1.

    Article  PubMed  PubMed Central  Google Scholar 

  26. 26.

    World Health Organization. Global Burden of Disease Regions used for WHO-CHOICE Analyses n.d. [Available from: https://www.who.int/choice/demography/regions/en/.

  27. 27.

    International Labour Organisation. Who are the indigenous and tribal peoples? [Available from: https://www.ilo.org/global/topics/indigenous-tribal/WCMS_503321/lang%2D%2Den/index.htm.

  28. 28.

    United Nations. Factsheet: who are indigenous peoples? n.d. [Available from: https://www.un.org/esa/socdev/unpfii/documents/5session_factsheet1.pdf.

  29. 29.

    International Work Group for Indigenous Affairs. Who we are: indigenous peoples in Asia. 2009

    Google Scholar 

  30. 30.

    World Health Organization. Indigenous populations n.d. [Available from: https://www.who.int/topics/health_services_indigenous/en/.

  31. 31.

    The World Bank. Indigenous peoples n.d. [Available from: https://www.worldbank.org/en/topic/indigenouspeoples.

  32. 32.

    The science of man in the world crisis. Linton R, editor. New York, NY, US: Columbia University Press; 1945.

    Google Scholar 

  33. 33.

    Minority Rights Group International. World directory of minorities and indigenous peoples n.d. [Available from: https://minorityrights.org/directory/.

  34. 34.

    Native Planet. Indigenous mapping- ethnic minority groups from Asia n.d. [Available from: https://www.nativeplanet.org/indigenous/ethnicdiversity/indigenous_data_asia.shtml.

  35. 35.

    Network AIPPFaIKaP. Who we are indigenous peoples in Asia 2009 [Briefing Paper ]. Available from: https://www.iwgia.org/images/publications/0640_ho_are_e_IPs_in_Asia.pdf.

  36. 36.

    Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan—a web and mobile app for systematic reviews. Systematic reviews. 2016;5(1):210. https://doi.org/10.1186/s13643-016-0384-4.

    Article  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Wells GA, Shea B, O'Connell D, Peterson J, EWelch V, Losos M, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses: Ottawa Hospital Research Institute; 2019 [Available from: http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp.

  38. 38.

    Ioannidis JP, Stanley TD, Doucouliagos H. The power of bias in economics research. UK: Oxford University Press Oxford; 2017.

    Book  Google Scholar 

  39. 39.

    Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539–58. https://doi.org/10.1002/sim.1186.

    Article  PubMed  PubMed Central  Google Scholar 

  40. 40.

    WHO. Tuberculosis (TB) The End TB Strategy n.d. [23.11.19]. Available from: https://www.who.int/tb/strategy/en/.

  41. 41.

    World Health Organization. Global technical strategy for malaria 2016-2030: World Health Organization; 2015.

    Google Scholar 

  42. 42.

    World Health Organization. 2030 targets for soil-transmitted helminthiases control programmes. 2020.

    Google Scholar 

  43. 43.

    Cormier M, Schwartzman K, N'Diaye DS, Boone CE, dos Santos AM, Gaspar J, et al. Proximate determinants of tuberculosis in indigenous peoples worldwide: a systematic review. Lancet Glob Health. 2019;7(1):e68–80. https://doi.org/10.1016/S2214-109X(18)30435-2.

    Article  PubMed  Google Scholar 

  44. 44.

    Tollefson D, Bloss E, Fanning A, Redd JT, Barker K, McCray E. Burden of tuberculosis in indigenous peoples globally: a systematic review [Review article]. The International Journal of Tuberculosis and Lung Disease. 2013;17(9):1139–50. https://doi.org/10.5588/ijtld.12.0385.

    CAS  Article  PubMed  Google Scholar 

  45. 45.

    Leandro-Reguillo P, Thomson-Luque R, Monteiro WM, De Lacerda MV. Urban and architectural risk factors for malaria in indigenous Amazonian settlements in Brazil: a typological analysis. Malar J. 2015;14(1):284. https://doi.org/10.1186/s12936-015-0806-0.

    Article  PubMed  PubMed Central  Google Scholar 

  46. 46.

    World Health Organization. Neglected tropical diseases n.d. .

  47. 47.

    Jiménez A, Cortobius M, Kjellén M. Water, sanitation and hygiene and indigenous peoples: a review of the literature. Water Int. 2014;39(3):277–93. https://doi.org/10.1080/02508060.2014.903453.

    Article  Google Scholar 

  48. 48.

    World Health Organisation. Constitution n.d. [Available from: https://www.who.int/governance/eb/who_constitution_en.pdf.

  49. 49.

    World Health Organisation. The health of indigenous peoples. Factsheet 2007.

    Google Scholar 

  50. 50.

    United Nations. United Nations declaration on the rights of indigenous peoples. UN Wash. 2007;12:1–18.

    Google Scholar 

  51. 51.

    Australian Government. Strategies and practices for promoting the social and emotional wellbeing of Aboriginal and Torres Strait Islander people: Australian Institute of Health and Welfare AIoFS, editor; 2013.

    Google Scholar 

Download references

Acknowledgements

We thank Cheryl Davis for her advice on the protocol from an indigenous perspective.

Funding

We acknowledge the Australian Government’s support via an Australian Government Research Training Program Scholarship (BG) and a National Health and Medical Research Council Emerging Leadership Investigator Grant (KAA).

The funders had no role in study design, decision to publish, or preparation of the manuscript.

Author information

Affiliations

Authors

Contributions

BG, KAA, and ACAC conceived the study. BG developed the search strategy and drafted the protocol. BG, KAA, NEC, and ACAC critically revised the manuscript for methodological and intellectual content and have read and approved the final manuscript.

Corresponding author

Correspondence to Beth Gilmour.

Ethics declarations

Ethics approval and consent to participate

Ethics approval and participant consent will not be required as this study will be based upon a review of published work. The finalised report will be disseminated through publication in a peer-reviewed scientific journal.

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1 Appendix 1:

PRISMA-P 2015 Checklist. Appendix 2: Search Criteria. Appendix 3: Example search strategy for Indonesia. Appendix 4: Data extraction tool. .Appendix 5: Quality and bias assessment.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Gilmour, B., Alene, K.A., Clarke, N.E. et al. The prevalence of tuberculosis, malaria and soil-transmitted helminth infection in minority indigenous people of Southeast Asia and the Western Pacific: protocol for a systematic review and meta-analysis. Syst Rev 10, 203 (2021). https://doi.org/10.1186/s13643-021-01753-y

Download citation

Keywords

  • Tuberculosis
  • TB
  • Malaria
  • Soil-transmitted helminth
  • STH
  • Indigenous
  • Minority
  • Southeast Asia
  • Western Pacific
  • Systematic review