Impact factor (WEB OF SCIENCE - Clarivate)

2 year: 7.2 | 5 year: 6.6

Articles

Causes of preventable death among children of female sex worker mothers in low- and middle-income countries: A community knowledge approach investigation

Wendy L Macias-Konstantopoulos1,2,3, Emily Perttu1, Swarna Weerasinghe1,4, Duduzile Dlamini1,5, Brian Willis1

1 Global Health Promise, Portland, Oregon, USA
2 Center for Social Justice and Health Equity, Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
3 Harvard Medical School, Boston, Massachusetts, USA
4 Department of Community Health and Epidemiology, Dalhousie University, Faculty of Medicine, Halifax, Nova Scotia, Canada
5 Mothers for the Future, Cape Town, Republic of South Africa

DOI: 10.7189/jogh.14.04052

Share:

Facebook
Twitter
LinkedIn
Abstract

Background

Female sex workers (FSW) in low- and middle-income countries (LMIC) are disproportionately vulnerable to poor health, social, and economic outcomes. The children of female sex workers (CFSW) experience health risks based on these challenging circumstances and the unique conditions to which they are exposed. Although country child mortality data exist, little is known about the causes of death among CFSW specifically, thereby severely limiting an effective public health response to the needs of this high-risk group of children.

Methods

The Community Knowledge Approach (CKA) was employed between January and October 2019 to survey a criterion sample of 1280 FSW participants across 24 cities in eight LMIC countries. Participants meeting pre-determined criteria provided detailed reports of deaths among the CFSW within their community of peers. Newborn deaths were gleaned from FSW maternal death reports where the infants also died following birth.

Results

Of the 668 child deaths reported, 589 were included in the analysis. Nutritional deficiencies comprised the leading cause of mortality accounting for 20.7% of deaths, followed closely by accidents (20.0%), particularly house fires, overdoses (19.4%), communicable diseases (18.5%), and homicides (9.8%). Other reported causes of death included neonatal conditions, respiratory illnesses, and suicides.

Conclusions

The causes of CFSW death in these eight countries are preventable with improved protections. Governments, intergovernmental organisations like the United Nations, nongovernmental stakeholder organisations (e.g. sex worker organisations), and funders can implement targeted policies and programmes to protect CFSW and assist vulnerable FSW who are pregnant and raising children. Further research is needed to identify effective child welfare safeguards for CFSW.

Print Friendly, PDF & Email

Female sex workers (FSW) in low- and middle-income countries (LMIC) disproportionately experience poor health, social, and economic outcomes as compared to the general population [18]. FSW are at heightened risk for poor health outcomes related to experiences of physical and sexual violence, food insecurity, barriers to health care, and limited social supports and services [3,59]. A recent multi-country study found that leading causes of death among FSW in LMIC are due to maternal causes followed by suicide and homicide [10], highlighting the potential traumatic experiences that also impact the lives of their children [11,12].

A well-established body of literature has demonstrated the health impact of intergenerational trauma. In general, mothers who experience victimisation, either as children or adults, manifest greater maternal depressive symptoms, lower levels of parenting satisfaction, and harsher parenting with higher rates of punitive, threatening, and dissociated behaviours [1317]. Thus, in the case of the FSW, both their socioecological circumstances and experiences of trauma impact the health of their children.

Children of female sex workers (CFSW) comprise an exceedingly vulnerable group of children resulting from their early and chronic exposure to adversity and toxic stress [18]. Childhood in the unique and onerous environment of commercial sex work can be challenging and child-rearing may be shared among a group of peer FSW [19]. Health risks commonly experienced by CFSW include food insecurity, malnutrition, barriers to health care such as vaccinations and HIV testing (despite HIV-positive mothers), poor caregiver health-seeking behaviours, caregiver neglect, physical and sexual violence, and psychosocial distress due to social marginalisation [2022].

Although World Health Organization (WHO) country child mortality data exist, little is known about the causes of death among CFSW specifically. One study conducted in Cambodia found that HIV and lung disease were the top leading reported causes of death in CFSW under five years [23]. Mortality data assessments are particularly challenging among populations with poor access to health services. A recent WHO assessment of the status and capacity of health information systems in 133 countries covering 87% of the global population indicated that approximately 40% of global deaths remain unregistered and unaccounted in national health statistics and civil registries [24]. In part due to scarce information technology resources and fragmented healthcare systems, health data gaps and missed deaths were more pronounced in LMIC [20].

Where the lack of robust health and civil registry systems results in underestimating the true burden of mortality [25], alternative scientific methods are needed to accurately collect mortality data among marginalised groups. Methods used vary across settings and include, but are not limited to, household surveys [26], capture-recapture analysis of informant-generated lists of deaths [27], and verbal autopsies [28,29]. By comparison, the Community Knowledge Approach (CKA) offers a low-cost, low-resource, relatively rapid, and validated method for identifying deaths that may otherwise remain unrecorded [23,30,31]. Among low-income communities of Bangladeshi women, the CKA has demonstrated high sensitivity, ranging from 80 to 100%, for identifying neonatal deaths, stillbirths, jaundice-related deaths in ages ≥14 years, and maternal deaths when compared to the house-to-house survey approach [32]. The CKA has also been successfully employed to identify drownings among children one to nine-year-old in a large India study with a sensitivity of 94.5% as compared to the household survey method [33].

The present study, conducted across eight LMIC, uses the CKA method to explore all causes of mortality among CFSW. It is the first study of this magnitude to document causes of death among a particularly marginalised group of children – data essential to understanding differences in causes of death from the general population and to developing targeted prevention strategies.

METHODS

Study design and participants

The current study analysed data collected in 2019 as part of a large multi-country cross-sectional cohort study exploring the causes of mortality among FSW and their children. The study employed a modified CKA method to collect information about deaths within primarily urban sex worker social networks in eight LMIC. Study methods have been previously described [10].

Country selection criteria for this study included: large number of FSW, high maternal mortality rate, high HIV infection rates among FSW, partnership with sex worker organisations and local non-governmental organisations, and contribution to the overall geographic regional diversity of the study. Based on these criteria, the eight LMIC selected for this investigation included: Angola, Brazil, Democratic Republic of the Congo (DRC), India, Indonesia, Kenya, Nigeria, and South Africa.

Using criterion sampling, FSW were recruited through local non-governmental (NGO) partners serving FSW to share their knowledge of deaths that occurred within their community of peers during information-gathering group sessions. Participants were recruited at local bars, brothels, parks, and other hotspots. Local partners approached potential study participants and screened interested FSW for study eligibility. Criteria for participation included: (1) age ≥18 years; (2) mother to at least one child aged ≤10 years; (3) engaged in full-time sex work for at least three years; and (4) engaged in peer community activities or living and/or working in communal settings with their peers. Following informed consent, each FSW participated in a single group session, lasting one hour on average, and held in a location deemed safe for FSW by local partners. Participants were not asked to provide any personal identifying data and informed consent was noted with ‘x’ or check mark on the consent form.

Data collection and quality assurance

Data were collected between 16 January 2019 and 1 October 2019, across 24 cities in the eight study LMIC, by the lead investigator (BW) using an open-ended, semi-structured questionnaire previously used in a similar single LMIC study [23]. Under the direct supervision of the lead investigator, partner-approved local interpreters confirmed accurate forward and backward translation, and were trained on study protocols to assist with data acquisition.

Study participants were asked to share information about any deaths of FSW and CFSW that occurred in the previous five years, since January 2014. Data collected about deceased CFSW included the sex, age at time of death, year of death, and cause of death. Extensive handwritten notes, including verbatim quotes and details surrounding the deaths, were captured for context. Following each group session, the research team reviewed all deaths reported in that location and identified potential duplicates. If any two deaths matched on two reported details, only the details of the first death were recorded.

Data were entered into an Excel database and reviewed by at least two research members for accuracy, completeness, and duplication. Child deaths were coded by three research team members and classified by cause of death as guided by the WHO global classifications of noncommunicable, communicable, and injury-related leading causes of death [34]. Using WHO definitions, deaths related to neonatal conditions were defined as occurring within the first 28 days of life and resulting from birth asphyxia and birth trauma, neonatal sepsis and infections, and preterm birth complications. Age groupings mirrored WHO reporting practices, and 24 years was the maximum age for inclusion in this study representing the age of brain maturation. Although ages ≥18 years fall outside the generally accepted legal definition of a child, the current study focuses on death among children of FSW. Data for the 18–24-year-olds are included given the causes of death among the young adult sons and daughters of FSW are also reflective of the socioeconomic circumstances, health-related social risks, and adverse childhood experiences of CFSW.

Data analysis

Deaths across all years were combined and organised by country, age group, and cause of death. Cause of death discrepancies were resolved through discussion and review of the original field notes, in conjunction with the lead investigator, until consensus was reached. Descriptive summaries report the total number of child deaths by sex, age group, country, and cause of death.

Ethics approval

The study protocol, consent forms, and questionnaire were reviewed and approved by the Institutional Ethics Review Board of Portland State University, USA (Protocol #184888). Local partners reviewed the study protocol for local standards and approved the conduction of the study.

RESULTS

A total of 1280 FSW mothers participated in 165 information-gathering sessions across the eight study countries. Of the 668 CFSW deaths reported, 589 were included for analysis (Figure 1). The largest number of CFSW deaths were reported in the DRC (n = 272, 46.2%) followed by Kenya (n = 156, 26.5%) and Nigeria (n = 83, 14.1%). More girls (n = 302, 51.3%) than boys were reported among the deceased CSFW. Table 1 provides death report summaries by country.

Figure 1.  Child death count flow diagram.

Table 1.  Overview of child death data reports by country

WordPress Data Table

CFSW – children of female sex workers

*0 days indicates death occurred within the first 24 hours following birth.

Causes of child death by country

Country-specific causes of CFSW deaths varied. In aggregate, the leading causes of death were nutritional deficiencies (n = 122, 20.7%), accidents (n = 118, 20%), overdoses (n = 114, 19.4%), communicable diseases (n = 109, 18.5%), and homicides (n = 58, 9.8%), accounting for 88.4% of deaths. Fewer deaths secondary to neonatal conditions, respiratory illnesses, suicides, natural causes (lightning strikes), cancer, and congenital defects were reported. Figure 2 provides detailed causes of death by country.

Figure 2.  Causes of child death by country.

Nutritional deficiencies

Of the 122 deaths due to nutritional deficiencies, kwashiorkor accounted for 81.1% of deaths and was reported only in the DRC. The other 23 deaths reported were due to malnutrition resulting from a lack of food and occurred in Nigeria, South Africa, Kenya, and the DRC.

Accidents

The 118 fatal accidents reported were both related to life-threatening incidents and unsafe actions or omissions (i.e. neglect). Mechanisms of accidental death included house fires (55.9%), road accidents (24.6%), and other causes (19.5%) involving suffocation, choking, drowning, roof collapses, stampede trampling, and falls from heights.

Most of the house fire deaths were reported in Kenya (68.2%) followed by the DRC (12.1%), South Africa (10.6%), Nigeria (7.6%), and Angola (1.5%). Details collected suggested that deaths related to house fires were due to sleeping children being left home alone, behind locked doors, with kerosene oil lamps or candles burning, while their mothers worked the night shift. Suffocations occurred among infants due to mothers rolling onto them while sleeping or intoxicated. On the other hand, deaths resulting from a choking incident were commonly due to rushed feeding sessions, overfeeding by a young sibling, and being fed – or being left unattended immediately after a feeding – in a position of increased risk for aspiration.

Overdoses

Despite overdoses, participants reported that medicating children to induce sleep is common practice among FSW mothers who lack the childcare needed to work. Substances identified in fatal overdoses included diazepam (59.6%, ‘Valium’), chlorphenamine (16.7%, ‘Piriton’), tramadol (5.3%), alcohol (5.3%), unknown (3.5%), codeine (3.5%), ‘sleeping medication’ (1.8%), opium (1.8%), ‘cough/cold medicine’ (1.8%), and flunitrazepam (0.9%, ‘Rohypnol’).

Communicable diseases

Of the 109 deaths due to communicable diseases, the largest proportion was reported in the DRC (65.1%) including cases of malaria (91.6%), HIV (5.6%), and tuberculosis (2.8%). In Kenya, 17 (15.6%) deaths due to communicable diseases included cases of HIV (76.5%), malaria (11.8%), measles (5.9%), and meningitis (5.9%).

Homicide

The largest number of homicides were reported in Kenya (43.1%) followed by Nigeria (24.1%), South Africa (15.3%), Brazil (10.3%), and India (5.2%). While homicides in Brazil involved firearms and were associated with criminality, mechanisms of homicide in the other countries included strangulation and physical abuse by the mother or clients of the mother, filicide-suicide, violent sexual assaults, public stoning or burning as punishment for wrongdoings (‘mob murder’), and poisonings.

Ages of the deceased children

Age at time of death ranged from <1 day (newborn death within 24 hours of birth) to 23 years. The highest death count was reported among children aged one to four years (n = 229, 38.9%) followed by infants under the age of one year (n = 190, 32.3%) and five to nine-year-olds (n = 100, 17%) (Figure 3).

Figure 3.  Children of female sex workers (FSW) death count by age group.

Causes of child death by age group

Leading causes of child death varied by age group (Figure 4). Among infants, overdoses comprised the leading cause of death (43.7%) followed equally by accidents and nutritional deficiencies (14.2% each), and communicable diseases (8.9%). Among children one to four years old, nutritional deficiencies (34.1%), communicable diseases (23.1%), and accidents (20.1%) were the top three leading causes of death. The increasingly independent five to nine-year-olds were more likely to die from accidents (34%) although communicable diseases (27%) continued to impact this age group. Homicide was the leading cause of death among 15 to 19-year-old CFSW (63%), whereas homicide and suicide equally impacted the 20 to 24-year-olds.

Figure 4.  Causes of child death by age.

Causes of death by country and age group

In descending order, reported deaths were most numerous among the early age groups of one to four-year-olds, infants, and five to nine-year-olds. The largest proportion of CFSW deaths (n = 511, 86.8%) were reported in three sub-Saharan African countries – the DRC (n = 272), Kenya (n = 156), and Nigeria (n = 83). In the DRC, 58.6% of infant deaths were due to overdoses, 52.1% of the deaths reported among one to four-year-old children were due to nutritional deficiencies, and 53.6% of deaths in the five to nine-year-old age group were attributed to communicable diseases. In Kenya, accidents comprised the leading cause of death across all three early age groups (34% infants, 54.7% one to four-year-olds, and 48.6% five to nine-year-olds). Overdose was the second leading cause of death among Kenyan infants (32.1%) and the leading cause of death among Nigerian infants (55.6%). Homicide was a cause of death among 15 to 19-year-olds in Brazil, India, Kenya, Nigeria, and South Africa. Table 2 cross-references country and age data to determine the causes of death by age group and country.

Table 2.  Causes of death by country and age

WordPress Data Table

Comm disease – communicable disease, nutritional def – nutritional deficiencies

DISCUSSION

CFSW comprise a socially marginalised group of children whose causes of death may differ from the general population. Identifying causes of death among CFSW is essential for developing targeted strategies and prevention programs. The current multi-country study is the first to offer unique insight into the causes of death among CFSW in LMIC.

WHO Africa has acknowledged the existence of gaps in child mortality data across subgroups within countries [35], complicating efforts to achieve Millennium Development Goal 4 (two-thirds global reduction in under-5 child mortality) [36] and Sustainable Development Goal 3 (ensuring healthy lives and promoting wellbeing for all ages) [37]. An equitable approach to child mortality reduction requires additional efforts to identify and understand differences in causes of death across subgroups with varying levels of social vulnerability. The present study highlights potential differences in causes of death among CFSW as compared to WHO general child mortality country data [34].

According to WHO 2019 data, neonatal conditions and respiratory illness comprise the top two leading causes of death among the general infant population in the DRC, while communicable diseases (malaria, measles) were the leading causes of death among one to four-year-old children [34]. In the current study, infant CFSW in the DRC died predominantly from accidental overdoses with sedating substances administered to induce sleep and the leading cause of one to four-year-old CFSW death in the DRC was related to nutritional deficiencies from lack of access to food, possibly resulting from abject poverty associated with the economic situation of many FSW. Consistent with WHO country data, communicable diseases were responsible for CFSW deaths from infancy to 19 years of age in the DRC.

In Kenya, WHO 2019 mortality data identified neonatal conditions as the leading cause of death among infants. Following infancy, communicable diseases were in the top three causes of death among one to 24-year-olds while accident-related deaths were due to road injuries (ranked in the top three causes of death across the five to 24-year-old age groups) and drownings (ranked seventh among one to four-year-olds) [34]. Among CFSW in Kenya, the current study found that accidents comprised the leading cause of death from infancy through nine years of age with unattended children in house fires playing a prominent role.

Homicide deaths among CFSW are worth noting. In the current study, homicides comprised the third leading cause of death among Kenyan infants and were all the result of filicide by their FSW mothers, accounting for 17% of all Kenyan infant deaths. In the WHO 2019 data, interpersonal violence does not appear in the top 10 causes of death among the general Kenyan population until the 15 to 19-year-old age group where it ranks seventh on the list [34]. Homicide also accounted for a progressively increasing number of CFSW death in Kenya responsible for 5.7% deaths among one to four-year-olds, 8.6% among five to nine-year-olds, 44% among 10 to 14-year-olds, and 100% among 15 to 19-year-olds. The same pattern is evident in Nigeria where WHO 2019 first identifies interpersonal violence as a leading cause of death among 15 to 19-year-olds, while among CFSW in the current study, homicide is a prominent cause of death across all the age groups (infants = 7.4%; one to 5 years = 5%; five to nine years = 15%; 10 to 14 years = 41.7%, and 15 to 19 years = 75%) [34]. Anecdotally, Nigerian participants reported that sons of FSW frequently leave their homes at a young age and live on the streets where they are exposed to gang-related violence.

Finally, nutritional deficiency deaths were most frequently reported in the DRC where they account for more than a third of all deaths among infants and under five-year-olds. These findings are particularly concerning given global supply chain and climate-related food ecology challenges threaten to further exacerbate food insecurity among FSW mothers and their children.

With an estimated 40% of global deaths left unrecorded [24], the incomplete status and limited capacity of health information systems as assessed by the WHO should prompt regionally coordinated, inter-governmental mitigation strategies. Within LMIC, government agencies must partner across districts to reinforce access to information technology resources, build centralised data systems with information-sharing capabilities, and encourage more consistent and accurate recording of every birth and death regardless of whether the healthcare system was accessed. Concerted efforts to support more robust data capture in national health statistics and civil registries should involve special provisions undertaken to account for the unique challenges in health data collection among hard-to-reach populations. Improved morbidity and mortality data among subgroups with high indices of social vulnerability would allow for a better understanding of health inequities and the targeted interventions needed to close the gaps.

Strengths and limitations

The CKA is a low-cost, low-resource, relatively rapid, and validated method for identifying causes of death among communities of adult women and children in LMIC [32,33]. Although the current study does not include an internal validity measure, the methodology borrows from previous studies demonstrating that women in a community are able to accurately report the deaths of children and other women in their community. Household survey verification of these child deaths would be challenging as this would require that households of origin be aware of a female family member’s status as a FSW mother, and knowledgeable of the circumstances surrounding the child’s death. Similarly, triangulation with official records would require deceased children to be identified as CFSW in civil death registries or health facility records. The possibility of selection bias should be noted given that there may be some fundamental differences between FSW who opt to participate versus decline to participate in the study.

Further, time constraints made it necessary to adjourn group sessions before fully exhausting the memory of participants. Additionally, the inherent differences between study locations in each country (e.g. average population densities) and the inability to collect data in more than an average of three cities per country, limit the extent to which these data are generalisable and representative of all CFSW deaths in any given country. Finally, without accurate size estimates of the total CFSW population in any given country, mortality rates cannot be estimated. Therefore, while these data are useful for identifying local outcomes and guiding targeted public health interventions, they cannot be used to estimate mortality rates among CFSW in any given country or draw conclusions about differences in causes of CFSW death across countries.

CONCLUSIONS

The current study begins to address a crucial and concerning knowledge gap on the causes of death among CFSW. These findings not only highlight the need for focused data collection efforts on marginalised, hard-to-reach subgroups, but they also call for a multifaceted approach to mitigating harm and preventing death. Developing effective, low-cost methods to account for missed deaths, particularly among vulnerable populations in LMIC, is a critical step toward more accurate mortality assessments. The children of FSW experience significant health risks and should be prioritised for morbidity and mortality assessments to guide appropriate prevention strategies and adequate allocation of resources. With adequate data, governments, intergovernmental organisations like the United Nations, non-governmental organisations, and funders can implement targeted policies and programmes to protect CFSW and assist vulnerable pregnant and parenting FSW mothers. More research is needed to determine if policies and programmes that aim to reduce stigma, increase access to health services, enhance parenting skills, and provide social supports (e.g. childcare) are effective harm-reduction strategies worth pursuing.

Acknowledgments

We extend our deepest gratitude to all the women who participated in the study and our local partners who were instrumental in the logistical conduction of the study, including: Acção de Solidariedade e Saúde Comunitária (ASSC, Angola); Oswaldo Cruz Foundation (Brazil); Action Humanitaire pour la Santé et le Développement Communautaire (AHUSA-DEC, DRC); Cadre de Récupération et d’Encadrement pour l’Epanouissement Intégral des Jeunes (CREEIJ, DRC); Association pour le Soutien, l’Education, la Promotion de la Vie et des Initiatives Communautaires (ASEPROVIC, DRC); Swasti (India); Organisasi Perubahan Sosial Indonesia (OPSI, Indonesia); Bar Hostess Empowerment and Support Programme (BHESP, Kenya); Sex Workers Outreach Program (SWOP) Ambassadors (Kenya); Coast Sex Workers Alliance (COSWA, Kenya); Kisumu Sex Workers Alliance (KISWA, Kenya); Partners For Health and Development in Africa (PHDA, Kenya); Nigeria Sex Workers Association (NSWA, Nigeria); Royal Women Health and Rights Initiative (Nigeria); Initiative for Young Women’s Health and Development (Nigeria); and Mothers for the Future (South Africa). In addition, we would like to thank Mary Oschwald, MSW, PhD, Associate Research Professor, Portland State University, School of Social Work, Regional Research Institute for Human Services, Co-PI; Wendi Wu, DO, MPH (Eugene, OR) who assisted with data entry; Lyndsey Roos, Administrative Assistant, Global Health Promise (Portland, OR) who assisted with data cleanup; and Alexia Williams, MPH (Charlotte, NC) who assisted with data categorisation.

Data availability: BW affirms that the manuscript is an honest, accurate, and transparent account of the data collected, stored, and analysed. Due to ethical considerations (i.e. consent was not obtained or given for open data access or additional data usage), controlled and secure data access and usage is necessary for subject protections. De-identified aggregate data used for this analysis can be requested from the corresponding author. Access permission will be considered based on the following usage criteria: (a) for the purpose of partnering on research on female sex workers; (b) for inclusion in curriculum for educational purposes; or (c) for the provision of services to female sex workers and their children by governmental and non-governmental organisations.

[1] Funding: This work was supported, in whole or part, by the New Venture Fund and the Bill & Melinda Gates Foundation [INV-049925]. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Acceptance Manuscript version that might arise from this submission. Funders played no role in study design, data collection, data analysis, results interpretation, or manuscript preparation.

[2] Authorship contributions: BW was responsible for study conceptualisation, research methodology, funding acquisition, project administration, and data collection and curation. DD assisted with field logistics and data collection. EP and SW assisted with the investigation and led data curation and analysis. WMK assisted with data analysis, data visualisation, and data interpretation, and wrote the original draft. All authors reviewed and edited the manuscript for critical content. All authors had full access to study data and take responsibility for the final publication submission.

[3] Disclosure of interest: The authors completed the ICMJE Disclosure of Interest form (available upon request from the corresponding author) and declare the following activities and relationships: DD and Mothers for the Future received funding for food from the Tekano Fellowship Program (South Africa), food from the Economic Freedom Fighters (South Africa), and medications from the Sex Workers Education and Advocacy Taskforce (South Africa) for mothers in sex work and their children. Additionally, DD received funding from the Coalition of Children Affected by AIDS to attend ICASA (International Conference on AIDS and STIs in Africa) in 2023 and from Love Alliance (Netherlands) to conduct home visits with mothers in sex work.

references

[1] S Baral, C Beyrer, K Muessig, T Poteat, AL Wirtz, and MR Decker. Burden of HIV among female sex workers in low-income and middle-income countries: a systematic review and meta-analysis. Lancet Infect Dis. 2012;12:538-49. DOI: 10.1016/S1473-3099(12)70066-X. [PMID:22424777]

[2] D Achwoka, JO Oyugi, R Mutave, P Munywoki, T Achia, and M Akolo. High prevalence of non-communicable disease among key populations enrolled at a large HIV prevention and treatment program in Kenya. PLoS One. 2020;15:e0235606. DOI: 10.1371/journal.pone.0235606. [PMID:32614906]

[3] J Coetzee, GE Gray, and R Jewkes. Prevalence and patterns of victimization and polyvictimization among female sex workers in Soweto, a South African township: a cross-sectional, respondent-driven sampling study. Glob Health Action. 2017;10:1403815. DOI: 10.1080/16549716.2017.1403815. [PMID:29211633]

[4] R Pérez-Figueroa, I Mittal, M Halpern, M Pérez-Mencia, Y Donastorg, and BS Taylor. Drug use, sexual risk, and structural vulnerability among female sex workers in two urban centers of the Dominican Republic: the EPIC study. Drug Alcohol Depend. 2020;212:108039. DOI: 10.1016/j.drugalcdep.2020.108039. [PMID:32428789]

[5] CE Lyons, A Grosso, FM Drame, S Ketende, D Diouf, and I Ba. Physical and sexual violence affecting female sex workers in Abidjan, Côte d’Ivoire: prevalence, and the relationship with the work environment, HIV, and access to health services. J Acquir Immune Defic Syndr. 2017;75:9-17. DOI: 10.1097/QAI.0000000000001310. [PMID:28169873]

[6] I Basnyat. Structural violence in health care: lived experience of street-based female commercial sex workers in Kathmandu. Qual Health Res. 2017;27:191-203. DOI: 10.1177/1049732315601665. [PMID:26315878]

[7] E Reed, J Gupta, M Biradavolu, BS Vasavi Devireddy, and KM Blankenship. The context of economic insecurity and its relation to violence and risk factors for HIV among female sex workers in Andhra Pradesh, India. Public Health Rep. 2010;125:Suppl 481-9. DOI: 10.1177/00333549101250S412. [PMID:20629253]

[8] TS Beattie, B Smilenova, S Krishnaratne, and A Mazzuca. Mental health problems among female sex workers in low- and middle-income countries: a systematic review and meta-analysis. PLoS Med. 2020;17:e1003297. DOI: 10.1371/journal.pmed.1003297. [PMID:32931504]

[9] S Lim, JN Park, DL Kerrigan, and SG Sherman. Severe food insecurity, gender-based violence, homelessness, and HIV risk among street-based female sex workers in Baltimore, Maryland. AIDS Behav. 2019;23:3058-63. DOI: 10.1007/s10461-019-02643-0. [PMID:31429031]

[10] B Willis, E Perttu, M Fitzgerald, H Thompson, S Weerasinghe, and W Macias-Konstantopoulos. Causes of mortality among female sex workers: results of a multi-country study. EClinicalMedicine. 2022;52:101658. DOI: 10.1016/j.eclinm.2022.101658. [PMID:36313149]

[11] DT Plant, ED Barker, CS Waters, S Pawlby, and CM Pariante. Intergenerational transmission of maltreatment and psychopathology: the role of antenatal depression. Psychol Med. 2013;43:519-28. DOI: 10.1017/S0033291712001298. [PMID:22694795]

[12] RH Bind. Immunological and other biological correlates of the impact of antenatal depression on the mother-infant relationship. Brain Behav Immun Health. 2022;20:100413. DOI: 10.1016/j.bbih.2022.100413. [PMID:35112090]

[13] H Dubowitz, MM Black, MA Kerr, JM Hussey, TM Morrel, and MD Everson. Type and timing of mothers’ victimization: effects on mothers and children. Pediatrics. 2001;107:728-35. DOI: 10.1542/peds.107.4.728. [PMID:11335751]

[14] A Cunningham and K Renk. Parenting in the context of childhood trauma: self-efficacy as a mediator between attributions and parenting competence. J Child Fam Stud. 2018;27:895-906. DOI: 10.1007/s10826-017-0899-x

[15] LR Cohen, DA Hien, and S Batchelder. The impact of cumulative maternal trauma and diagnosis on parenting behavior. Child Maltreat. 2008;13:27-38. DOI: 10.1177/1077559507310045. [PMID:18174346]

[16] D Jacobvitz, K Leon, and N Hazen. Does expectant mothers’ unresolved trauma predict frightened/frightening maternal behavior? Risk and protective factors. Dev Psychopathol. 2006;18:363-79. DOI: 10.1017/S0954579406060196. [PMID:16600059]

[17] A Chu and AP DePrince. Development of dissociation: examining the relationship between parenting, maternal trauma and child dissociation. J Trauma Dissociation. 2006;7:75-89. DOI: 10.1300/J229v07n04_05. [PMID:17182494]

[18] J Beard, G Biemba, MI Brooks, J Costello, M Ommerborn, and M Bresnahan. Children of female sex workers and drug users: a review of vulnerability, resilience and family-centered models of care. J Int AIDS Soc. 2010;13:Suppl 2S6 DOI: 10.1186/1758-2652-13-S2-S6. [PMID:20573288]

[19] G Pardeshi and S Bhattacharya. Child rearing practices amongst brothel based commercial sex workers. Indian J Med Sci. 2006;60:288-95. DOI: 10.4103/0019-5359.26603. [PMID:16864913]

[20] Medrano T. Providing Care and Support to Children of Female Sex Workers: Training for Orphan and Vulnerable Children (OVC) Program Staff. Durham, NC: FHI 360; 2021. Available: https://www.fhi360.org/sites/default/files/media/documents/resource-epic-cfsw-facilitator-guide.pdf. Accessed: 29 September 2022.

[21] SJ Semple, HA Pines, AH Vera, EV Pitpitan, G Martinez, and MG Rangel. Maternal role strain and depressive symptoms among female sex workers in Mexico: the moderating role of sex work venue. Women Health. 2020;60:284-99. DOI: 10.1080/03630242.2019.1626792. [PMID:31195898]

[22] MN Chege, EW Kabiru, JN Mbithi, and JJ Bwayo. Childcare practices of commercial sex workers. East Afr Med J. 2002;79:382-9. DOI: 10.4314/eamj.v79i7.8844. [PMID:12638835]

[23] B Willis, S Onda, and HM Stoklosa. Causes of maternal and child mortality among Cambodian sex workers and their children: a cross sectional study. BMC Public Health. 2016;16:1176 DOI: 10.1186/s12889-016-3838-7. [PMID:27871322]

[24] World Health Organization. SCORE for health data technical package: global report on health data systems and capacity, 2020. Geneva: World Health Organization; 2021. Available: https://www.who.int/publications/i/item/9789240018709. Accessed: 1 October 2022.

[25] C Whittaker, PGT Walker, M Alhaffar, A Hamlet, BA Djaafara, and A Ghani. Under-reporting of deaths limits our understanding of true burden of covid-19. BMJ. 2021;375:n2239 DOI: 10.1136/bmj.n2239. [PMID:34642172]

[26] United Nations. Designing Household Survey Samples: Practical Guidelines. United Nations: New York; 2005. Available: https://unstats.un.org/unsd/demographic/sources/surveys/handbook23june05.pdf. Accessed: 1 October 2022.

[27] B Roberts, OW Morgan, MG Sultani, P Nyasulu, S Rwebangila, and M Myatt. A new method to estimate mortality in crisis-affected and resource-poor settings: validation study. Int J Epidemiol. 2010;39:1584-96. DOI: 10.1093/ije/dyq188. [PMID:21044978]

[28] P Bailo, F Gibelli, G Ricci, and A Sirignano. Verbal autopsy as a tool for defining causes of death in specific healthcare contexts: study of applicability through a traditional literature review. Int J Environ Res Public Health. 2022;19:11749 DOI: 10.3390/ijerph191811749. [PMID:36142022]

[29] AJ Seal, M Jelle, CS Grijalva-Eternod, H Mohamed, R Ali, and E Fottrell. Use of verbal autopsy for establishing causes of child mortality in camps for internally displaced people in Mogadishu, Somalia: a population-based, prospective, cohort study. Lancet Glob Health. 2021;9:e1286-95. DOI: 10.1016/S2214-109X(21)00254-0. [PMID:34416214]

[30] AM Mir, MS Shaikh, SN Qomariyah, G Rashida, M Khan, and I Masood. Using community informants to estimate the maternal mortality in a rural district in Pakistan: a feasibility study. J Pregnancy. 2015;2015:267923. DOI: 10.1155/2015/267923. [PMID:25741446]

[31] SN Qomariyah, D Braunholtz, EL Achadi, KH Witten, ES Pambudi, and T Anggondowati. An option for measuring maternal mortality in developing countries: a survey using community informants. BMC Pregnancy Childbirth. 2010;10:74 DOI: 10.1186/1471-2393-10-74. [PMID:21083883]

[32] RC Paul, HF Gidding, A Nazneen, KC Banik, SA Sumon, and KK Paul. A low-cost, community knowledge approach to estimate maternal and jaundice-associated mortality in rural Bangladesh. Am J Trop Med Hyg. 2018;99:1633-8. DOI: 10.4269/ajtmh.17-0974. [PMID:30298803]

[33] M Gupta, S Bhaumik, S Roy, RK Panda, M Peden, and J Jagnoor. Determining child drowning mortality in the Sundarbans, India: applying the community knowledge approach. Inj Prev. 2021;27:413-8. DOI: 10.1136/injuryprev-2020-043911. [PMID:32943493]

[34] World Health Organization. Global Health Estimates: Leading Causes of Death. Available: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death. Accessed: 28 October 2022.

[35] World Health Organization. Child Health: Children under the age of 5. Available: https://www.afro.who.int/health-topics/child-health. Accessed: 28 October 2022.

[36] United Nations. Millennium Development Goals and Beyond 2015 – Goal 4: Reduce Child Mortality. Available: https://www.un.org/millenniumgoals/childhealth.shtml. Accessed: 28 October 2022.

[37] United Nations. Sustainable Development: The 17 Goals. Available: https://sdgs.un.org/goals. Accessed: 28 October 2022.

Correspondence to:
Brian Willis
Global Health Promise, 818 SE 112th Avenue, Portland, Oregon
USA
[email protected]