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. 2025 Nov 14;20(11):e0336429. doi: 10.1371/journal.pone.0336429

Coverage and determinants of deworming uptake among under-five children in Somalia: A multilevel analysis of the 2020 SDHS data

Abdirahman Omer Ali 1,2, Awo Mohamed Kahie 1,3, Muhyadin Yusuf Dahir 3, Suhaib Mohamed Kahie 2, Abdisalam Mahdi Hassan 1,2, Md Moyazzem Hossain 4,*
Editor: Clement Ameh Yaro5
PMCID: PMC12617879  PMID: 41237105

Abstract

Background

Soil-transmitted helminth (STH) infections are a major public health concern in Somalia, particularly affecting the health and development of children under five. Therefore, this study aimed to assess the coverage of deworming uptake and identify associated multilevel factors with deworming uptake among Somali children aged 12–59 months using a Multilevel logistic regression model.

Methods

This study analyzed data of 15,074 children aged 12–59 months from the 2020 Somalia Demographic and Health Survey (SDHS). Chi-square test and multilevel logistic regression were used to examine individual (maternal/child characteristics, health service use) and community (residence, region) factors associated with non-receipt of deworming medication (poor uptake).

Results

Only 8.0% of children had received deworming medication, indicating critically low national coverage. The variations of poor deworming uptake among children of different ages in months were 92.91% between 12–15 months, 91.75% between 16–19 months, and 91.26% between 20–59 months. Poor deworming uptake was varied among maternal age groups, with rates of 92.10% (15–24 years), 91.89% (25–34 years), and 91.60% (35–49 years). Findings depict that significant regional variations existed. Better uptake was associated with higher maternal age and education, greater wealth, maternal employment, health facility delivery, and urban/nomadic residence (vs. rural). Residing in urban (AOR: 0.65; 95% CI: 0.51, 0.82, p < 0.05) or nomadic areas (AOR: 0.40; 95% CI: 0.32, 0.49, p < 0.05) was significantly associated with lower odds of poor uptake compared to rural areas. Unexpectedly, children without recent episodes of diarrhea had significantly higher odds of not receiving deworming treatment (AOR = 6.26).

Conclusion

Low deworming coverage among under-5 children in Somalia is observed. Factors include higher maternal education, greater wealth, health facility delivery, urban or nomadic residence compared to rural, and older child age are significantly associated with deworming coverage. To improve the deworming coverage, organizing school-based campaigns and deploying mobile health teams for door-to-door visits in remote areas may be useful.

Introduction

Soil-transmitted helminth (STH) infections, primarily caused by roundworm (Ascaris lumbricoides), whipworm (Trichuris trichiura), and hookworms (Necator americanus and Ancylostoma duodenale), represent a major global public health challenge, particularly affecting vulnerable populations in low- and middle-income countries (LMICs) [1]. Transmission occurs through ingestion or skin penetration of eggs or larvae present in contaminated soil, often linked to inadequate sanitation, poor hygiene practices, and lack of access to clean water [2]. Children under the age of five are especially susceptible due to their developing immune systems, frequent contact with soil during play, and poorer hygiene habits [3]. Chronic STH infections in this age group can lead to a cascade of detrimental health consequences, including malnutrition, iron-deficiency anemia, impaired cognitive development, and reduced physical fitness, thereby hindering their overall well-being and future potential [4,5] Deworming, the periodic administration of safe and effective anthelmintic drugs (like albendazole or mebendazole), is a cornerstone public health intervention recommended by the World Health Organization (WHO) to control STH morbidity through preventive chemotherapy (PC) programs targeting high-risk groups, including preschool-aged children [6]. For children under five, the critical window for growth and development, STH infections inflict damage that can last a lifetime, perpetuating cycles of poverty and poor health [7,8]. While effective and affordable treatments exist, delivering them to all eligible children—particularly in fragile settings like Somalia—remains a significant challenge [9]. Understanding the reach and determinants of deworming programs is not merely an academic exercise; it is fundamental to safeguarding the health and developmental trajectory of millions of children, unlocking their potential to thrive and contribute to their communities [4,10], and addressing this preventable condition is a crucial step towards achieving sustainable development goals related to child health and well-being [11].

The silent scourge of intestinal worms affects over a billion people worldwide, yet its burden falls most heavily on the youngest and most defenseless members of society [12]. Globally, significant strides have been made in controlling STH infections through coordinated efforts spearheaded by the WHO, aiming to eliminate morbidity in children through regular PC campaigns [6,13]. Despite progress, Sub-Saharan Africa continues to bear the brunt of the global STH burden, with hundreds of millions estimated to be infected [14]. Factors such as widespread poverty, limited access to water, sanitation, and hygiene (WASH) facilities, climatic conditions favorable for parasite survival, and often overburdened health systems contribute to the persistence of high transmission rates across the continent [15,16]. Within the Horn of Africa, these challenges are often amplified by recurrent droughts, food insecurity, political instability, and large-scale population displacement, creating environments where parasitic infections flourish [17].

Somalia, situated in this volatile region, has historically faced complex humanitarian emergencies and possesses a fragmented health system, making its population, particularly young children, highly vulnerable to neglected tropical diseases like STH infections [18,19]. Somalia’s specific context presents unique obstacles to effective public health interventions, including deworming programs for under-fives. Decades of conflict and instability have severely weakened health infrastructure and service delivery across large parts of the country [20]. Access to basic WASH facilities remains critically low, particularly in rural areas and among internally displaced populations, facilitating the transmission of STH [21,22]. While national deworming campaigns may be intended, their actual coverage and effectiveness are likely influenced by a complex interplay of factors, including security constraints, geographic accessibility, caregiver awareness and health-seeking behaviors, and the capacity of local health systems or implementing partners [19,23,24]. Poor deworming uptake among children aged 24–59 months was significantly associated with the mother’s education, employment status, home birth, diarrhoea during the previous two weeks, and region of residency [2527]. Several previous studies consider children aged 12–59 months for exploring the coverage and risk factors of deworming [26,2830], which motivates the authors to include children aged 12–59 months in this study. Deworming may be an effective technique for preventing poor health outcomes in children [29]. Reliable, up-to-date information on the prevalence of deworming uptake and the factors influencing it among children under five in Somalia is scarce. The Somalia Demographic and Health Survey (SDHS) 2020 provides a crucial and timely opportunity to assess the situation using nationally representative data [31,32]. While previous studies might have touched upon child health indicators in Somalia, few, if any, have specifically focused on deworming in this age group using strong statistical methods applied to current national data. The primary novelty lies in the application of multilevel analysis. This approach allows for the simultaneous examination of both individual/household-level factors (e.g., maternal education, wealth quintile, child’s age) and community-level or contextual factors (e.g., region, place of residence, potential proxies for local health service availability) associated with deworming status. Recognizing that factors influencing health behaviors operate at multiple levels, this methodology provides more nuanced and contextually relevant insights compared to traditional regression analyses that ignore the hierarchical structure of the data [33]. This study is among the first to use multilevel modeling on SDHS 2020 data to assess both individual- and community-level determinants of deworming uptake in Somali children. Unlike traditional analyses, this method accounts for data clustering and context-specific influences, offering more robust and actionable insights.

Methods and materials

Study design, setting, and data

This study employed a cross-sectional design using secondary data from the 2020 Somalia Demographic and Health Survey (SDHS).

Sampling procedures

The SDHS followed a three-stage stratified cluster sample design in urban and rural strata with a probability proportional to size, for the sampling of Primary Sampling Units (PSU) and Secondary Sampling Units (SSU) (respectively at the first and second stage), and systematic sampling of households at the third stage. For the nomadic stratum, a two-stage stratified cluster sample design was applied with a probability proportional to size for sampling of PSUs at the first stage and systematic sampling of households at the second stage. A total of 220 EAs and 150 EAs were allocated to urban and rural strata, respectively, while in the third stage, an average of 30 households were selected from the listed households in every EA to yield a total of 16,360 households that were eligible for interview. Finally, a total weighted sample of 15,074 children aged 12–59 months was embodied in this study.

Study variables

The dependent variable was deworming status, which was dichotomized as “poor” and “good”. Poor deworming uptake (i.e., a child who had not taken deworming medication), which was labeled as “poor” and coded 1. A child who has taken supplementary deworming medication was said to be good with the deworming drug and labeled as “good” and coded 0.

The independent variables of the study were classified as individual factors and community factors. The individual factors of the variables were maternal age, maternal education, working status, family wealth status, sex of the household head, sex of the child, age of the child, place of delivery, health-related decision-making autonomy, distance to health facilities, and had diarrhea recently, whereas community factors were classified as region and place of residence. The DHS wealth index was categorized into three groups for analysis: poor (poorest + poorer), middle, and rich (richer + richest) [34].

Statistical analysis

Descriptive statistics were used to summarize the characteristics of the study population. Bivariate associations between deworming uptake and explanatory variables were assessed using Chi-square tests. To identify independent predictors, a multilevel mixed-effects logistic regression model was employed, accounting for clustering at the community level. Data cleaning and analysis were performed using STATA version 17.

Ethical approval

This study is based on the publicly available secondary dataset, and the initial survey was conducted with proper ethical approval from the respective authorities. Moreover, the initial survey took the proper ethical approval.

Results

Sociodemographic characteristics

A total of 15,074 children aged 12–59 months were included in this study. The overall prevalence of poor deworming uptake in Somalia was about 92% (95% CI: 90.33–93.47). Regional variations in poor deworming uptake were observed in Somalia for example Awdal (95%), Woqooyi Galbeed (93.23%) Togdheer (85.15%), Sool (89.52%), Sanaag (88.63%), Bari (90.02%), Nugaal (92.88%), Mudug (93.6%), Galgaduud (94.94%), Hiraan (95.50%), Middle Shabelle (93.87%), Banadir (92.93%), Bay (93.06%), Bakool (93.63%), Gedo (95.93%), and Lower Juba (85.46%). Poor deworming uptake was varied among maternal age groups, with rates of 92.10% (15–24 years), 91.89% (25–34 years), and 91.60% (35–49 years). Poor deworming uptake was higher among the mothers having higher education. It is also observed that poor deworming uptake varies among working and non-working mothers. The variations in poor deworming were observed among family wealth status, poor (96.85%), while 87.06% were observed in rich families. According to variations of poor deworming in perceived distance to health facilities, (91.40%) was not a big problem, while (92.05%) was a big problem. Results depict that 93.37% were at home, while 85.85% were at the health facility. The variations of poor deworming uptake among children of different ages in months were 92.91% between 12–15 months, 91.75% between 16–19 months, and 91.26% between 20–59 months. Of the respondents, 94.95% of rural, 92.99% of urban, and 87.99% of nomadic had poor deworming [Table 1].

Table 1. Deworming by sociodemographic characteristics.

Variables Categories Frequency
(%)
Deworming p-value of χ2
Good (%) Poor (%)
Maternal age 15-24 3,964 (26.30) 313(7.90) 3,651(92.10) 0.733
25-34 7,838 (52.00) 636(8.11) 7,202(91.89)
35-49 3,272 (21.71) 275(8.40) 2,997(91.60)
Maternal education No education 12,744(84.54) 901(7.07) 11,843(92.93) <0.001
Primary 1,763 (11.70) 237(13.44) 1,526(86.56)
Secondary 439 (2.91) 58(13.21) 381(86.79)
Higher 128 (0.85) 28(21.88) 100(78.13)
Working status Not Working 14,950(99.18) 1,190(7.96) 13,760(92.04) <0.001
Working 124(0.82) 34(27.42) 90(72.58)
Sex of the household head Male 10,227(67.85) 861(8.42) 9,366(91.58) 0.051
Female 4,847 (32.15) 363(7.49) 4,484(92.51)
Family wealth status Poor 7,009 (46.50) 221(3.15) 6,788(96.85) <0.001
Middle 2,924 (19.40) 338(11.56) 2,586(88.44)
Rich 5,141 (34.11) 665(12.94) 4,476(87.06)
Health-related decision-making autonomy Mother Alone 2,688 (17.83) 197(7.33) 2,491(92.67) 0.208
Husband Only 7,686 (50.99) 628(8.17) 7,058(91.83)
Jointly 4,700(31.18) 399(8.49) 4,301(91.51)
Perceived distance to health facilities Not a big problem 4,012 (26.62) 345(8.60) 3,667(91.40) 0.195
Big problem 11,062(73.38) 879(7.95) 10,183(92.05)
Place of delivery Home 12,092(80.22) 802(6.63) 11,290(93.37) <0.001
Health facility 2,982(19.78) 422(14.15) 2,560(85.85)
Age of the child(months) 12–15 months 1,227 (11.48) 87(7.09) 1,140(92.91) 0.147
16–19 months 570 (5.34) 47(8.25) 523(91.75)
20–59 months 8,887 (83.18) 777(8.74) 8,110(91.26)
Sex of the child Male 7,854 (52.10) 640(8.15) 7,214(91.85) 0.893
Female 7,220 (47.90) 584(8.09) 6,636(91.91)
Had diarrhea recently Yes 794 (5.27) 261(32.87) 533(67.13) <0.001
No 14,280(94.730) 963(6.74) 13,317(93.26)
Place of residence Rural 3,957 (26.25) 200(5.05) 3,757(94.95) <0.001
Urban 6,222 (41.28) 436(7.01) 5,786(92.99)
Nomadic 4,895 (32.47) 588(12.01) 4,307(87.99)
Region Awdal 640 (4.25) 32(5.00) 608(95.00) <0.001
Woqooyi Galbeed 990 (6.57) 67(6.77) 923(93.23)
Togdheer 963 (6.39) 143(14.85) 820(85.15)
Sool 1,107(7.34) 116(10.48) 991(89.52)
Sanaag 1,231(8.17) 140(11.37) 1,091(88.63)
Bari 882(5.85) 88(9.98) 794(90.02)
Nugaal 871 (5.78) 62(7.12) 809(92.88)
Mudug 882 (5.85) 55(6.24) 827(93.76)
Galgaduud 810 (5.37) 41(5.06) 769(94.94)
Hiraan 755 (5.01) 34(4.50) 721(95.50)
Middle Shabelle 799 (5.30) 49(6.13) 750(93.87)
Banadir 1,783(11.83) 126(7.07) 1,657(92.93)
Bay 346 (2.30) 24(6.94) 322(93.06)
Bakool 1,021 (6.77) 65(6.37) 956(93.63)
Gedo 1,031 (6.84) 42(4.07) 989(95.93)
Lower Juba 963 (6.39) 140(14.54) 823(85.46)

Multilevel logistic regression analysis

Results of the multivariable multilevel logistic analysis presented in Fig 1 and S1 Table show several significant factors associated with poor deworming uptake. Compared to the reference groups, significantly lower odds of poor deworming uptake were observed for mothers aged 35–49 years (AOR: 0.73; 95% CI: 0.59, 0.90, p < 0.05), mothers with primary (AOR: 0.69; 95% CI: 0.56, 0.84) or higher education (AOR: 0.35; 95% CI: 0.20, 0.60, p < 0.05), those in the middle (AOR: 0.39; 95% CI: 0.32, 0.49, p < 0.05) or rich wealth quintiles (AOR: 0.36; 95% CI: 0.29, 0.45, p < 0.05), and working mothers (AOR: 0.28; 95% CI: 0.16, 0.48, p < 0.05). Lower odds of poor uptake were also seen when health decisions were made by the husband alone (AOR: 0.74; 95% CI: 0.60, 0.91) or jointly (AOR: 0.76; 95% CI: 0.61, 0.95, p < 0.05) compared to the mother alone, and for children delivered in a health facility (AOR: 0.59; 95% CI: 0.49, 0.70). Older children aged 20–59 months (AOR: 0.77; 95% CI: 0.60, 0.98, p < 0.05) also had lower odds of poor uptake compared to those aged 12–15 months. Residing in urban (AOR: 0.65; 95% CI: 0.51, 0.82, p < 0.05) or nomadic areas (AOR: 0.40; 95% CI: 0.32, 0.49, p < 0.05) was significantly associated with lower odds of poor uptake compared to rural areas. Conversely, the odds of poor deworming uptake were substantially and significantly higher for children who had no diarrhea recently compared to those who did (AOR: 6.26; 95% CI: 5.11, 7.67, p < 0.05). Significant variations were also observed across different regions.

Fig 1. Forest plot of poor deworming among children of 12–59 months in Somalia.

Fig 1

Discussion

This study investigated the prevalence and multilevel determinants of deworming uptake among children aged 12–59 months in Somalia using the nationally representative 2020 Somalia Demographic and Health Survey (SDHS) data. Only 8% of children received deworming medication, highlighting alarmingly poor coverage. This figure starkly underscores the significant public health challenge posed by soil-transmitted helminth (STH) infections in this vulnerable population and falls dramatically short of the World Health Organization’s (WHO) goals for preventive chemotherapy (PC) coverage in endemic areas [6,35]. The extremely low coverage highlights the immense gap between recommended interventions and the reality on the ground in Somalia, a context marked by fragility and strained health systems [1820]. While specific contemporary studies on deworming coverage in Somalia are scarce, as noted in the introduction, the finding of low coverage aligns with challenges documented in other low- and middle-income countries (LMICs), particularly those in Sub-Saharan Africa facing instability or limited resources [9,14]. However, the 8% coverage found here appears exceptionally low, even compared to regional neighbors or other fragile settings where PC programs have gained more traction, suggesting potentially unique or exacerbated barriers within Somalia [15,17]. The significant regional variations observed, with poor uptake ranging from 85% to nearly 96%, mirror findings from other large-scale surveys in diverse settings [31] and underscore the importance of context-specific factors influencing program reach, likely related to varying levels of security, infrastructure, and localized health initiatives [19,20].

The multilevel analysis identified several significant determinants operating at individual, household, and community levels, consistent with findings from studies on child health interventions elsewhere. At the individual and household level, higher maternal age, maternal education (primary and higher), higher family wealth status, maternal employment, and delivery in a health facility were all associated with significantly lower odds of poor deworming uptake (i.e., better coverage). These findings resonate with extensive literature indicating that improved maternal education and socioeconomic status enhance health knowledge, health-seeking behavior, and access to care [4,23,24]. Delivery in a health facility likely represents increased contact with the formal health system, providing opportunities for preventive services like deworming [20]. The protective effect of father or joint decision-making may reflect household dynamics influencing healthcare access. This finding warrants further investigation. Older child age (20–59 months) being associated with better uptake compared to the youngest group (12–15 months) might reflect cumulative opportunities for receiving deworming medication through campaigns or health contacts over time.

At the community level, residing in urban or nomadic areas was protective against poor uptake compared to rural areas. The finding for urban areas aligns with expectations of potentially better access to health facilities and information [25]. The relatively better uptake among nomadic populations compared to rural dwellers is intriguing and could reflect specific outreach programs targeting nomadic groups or perhaps different exposure patterns, although this contrasts with typical assumptions about access challenges for mobile populations [16,22]. The substantial regional differences persisted even after controlling for individual and household factors, highlighting the strong influence of geographic context, which may encompass variations in program implementation, partner presence, local governance, and security [17,19,36]. One of the most striking findings was the strong association between a child not having had diarrhea recently and significantly higher odds of poor deworming uptake. There may be a connection between intestinal parasite infection and diarrhoea, and children who experience diarrhoea are more likely to seek medical attention [25,37]. Children who recently experienced diarrhea were substantially more likely to have received deworming medication [25]. This finding contradicts the expectation that deworming is primarily a preventive measure. It may indicate that deworming medication is often administered therapeutically when children present with diarrheal illness, or perhaps it is co-administered with treatments for diarrhea during health facility visits. Alternatively, caregivers of children with recent diarrhea might be more engaged with health services or more likely to recall any medications given. This requires further exploration to understand if deworming is being missed as a routine preventive measure and primarily used reactively, suggesting that barriers like awareness, drug availability, or cost might be more dominant than simple physical access for preventive care in this context.

This study makes several key contributions. Firstly, it provides a crucial, up-to-date, nationally representative estimate of deworming coverage among under-fives in Somalia, revealing a critical situation. Secondly, by employing a multilevel analytical approach [33], it moves beyond individual-level factors to identify both individual/household and community/regional determinants, offering a more nuanced understanding of the barriers and facilitators within Somalia’s complex environment. Thirdly, it highlights specific high-risk groups (e.g., children in rural areas, those from poorer households, those whose mothers have no education) and protective factors (e.g., health facility delivery, maternal education) that can inform targeted interventions. The identification of the strong link between recent diarrhea and deworming uptake is a particularly important finding, warranting programmatic attention.

The findings directly relate to several SDGs [11]. The extremely low deworming coverage poses a significant barrier to achieving SDG 3 (Good Health and Well-being), particularly Target 3.2 (end preventable deaths of newborns and under-fives) and Target 3.3 (end the epidemics of neglected tropical diseases like STH infections). STH infections directly impede progress by causing malnutrition, anemia, and impaired cognitive development [4,5], undermining children’s health and future potential. The association of deworming uptake with maternal education and wealth status links the findings to SDG 4 (Quality Education) and SDG 1 (No Poverty), highlighting how broader development factors impact child health outcomes. The disparities linked to place of residence (rural vs. urban/nomadic) and region connect to SDG 10 (Reduced Inequalities). Addressing the underlying drivers of STH transmission, such as poor sanitation and hygiene [2], is also crucial for SDG 6 (Clean Water and Sanitation). Investing in deworming is thus an investment in human capital and is essential for achieving sustainable development goals [10].

Limitations of the study

This study has limitations inherent to its design and data source. The cross-sectional nature precludes establishing causality between determinants and deworming status. Deworming status was based on maternal recall, potentially introducing recall bias or social desirability bias. The SDHS question might not capture details about the type of drug, dosage, or frequency, and the definition of “poor” (not receiving any) versus “good” (receiving any) is binary and lacks granularity. While multilevel analysis accounts for clustering, unmeasured confounding variables at individual (e.g., specific health beliefs) or community levels (e.g., intensity of local NGO activities, specific security incidents) could still influence the observed associations. The categorization of some variables (e.g., wealth index) involves simplification.

Conclusion

Significant determinants associated with deworming coverage include higher maternal education, greater wealth, health facility delivery, urban or nomadic residence compared to rural, and older child age. Multifaceted strategies are necessary to increase coverage and work towards SDG 3. These include bolstering routine health service delivery, incorporating deworming into child health contacts, especially during vaccinations and postnatal care, encouraging facility-based deliveries, and putting in place targeted, possibly community-based or campaign-style, deworming programs that specifically target rural populations, low-income households, and mothers with limited educational attainment. Additionally, it is stressed to make clear the connection between treating diarrhoea and administering deworming in order to guarantee suitable preventive measures. In Somalia, addressing these factors is essential to preserving the growth and health of children.

Supporting information

S1 Table. Multivariable multilevel analysis result of poor deworming among children of 12–59 months in Somalia.

(DOCX)

pone.0336429.s001.docx (22.5KB, docx)
S1 File. Data.

(CSV)

pone.0336429.s002.csv (3.5MB, csv)

Data Availability

The data is freely accessible through the Somali National Data Archive (SoNADA) website at https://microdata.nbs.gov.so/index.php/catalog/50.

Funding Statement

The author(s) received no specific funding for this work.

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Decision Letter 0

Clement Yaro

14 Sep 2025

Dear Dr. Hossain,

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Dear editor, thank you very much for giving me a chance to review the paper entitled "Prevalence and determination of deworming among under-five children in Somalia using Multi-level analysis of SDHS 2020 data,"

Manuscript ID: PONE-D-25-36783

General Comments – Minor Revision Required

This manuscript presents a relevant analysis of deworming coverage among children aged 12–59 months in Somalia, using the 2020 SDHS dataset and applying appropriate multilevel modeling. The public health significance is well articulated, and the use of nationally representative data adds robustness. However, the age range includes children under 24 months, who may not be the standard target for deworming in some national programs—this requires clarification or justification. Additionally, while the 2020 data remains valuable, the five-year gap raises questions about current applicability, and should be acknowledged as a limitation. Minor revisions are recommended to address these temporal and age-related considerations, alongside improvements in language, clarity, statistical reporting, and reference formatting.

Specific comments

Title

1. In the title ``Prevalence and determination of deworming among under-five children in Somalia using Multi-level analysis of SDHS 2020 data,`` I suggest to change the word "determination” to "determinants", which is commonly used in public health literature to describe factors influencing an outcome

2. I suggest to change "using Multi-level analysis of SDHS 2020 data," by " : A Multilevel Analysis of the 2020 SDHS Data"

3. The revised title is Prevalence and Determinants of Deworming Among Under-Five Children in Somalia: A Multilevel Analysis of the 2020 SDHS Data

4. 2020 SDHS Data is about 5 years gab needs justifications

Abstract

1. I suggest to change the phrases “infections significantly impair child health in Somalia." by "infections are a major public health concern in Somalia, particularly affecting the health and development of children under five."

2. I suggest to review the objective as "This study aimed to estimate the prevalence of deworming uptake and identify individual- and community-level factors associated with its use among Somali children aged 12–59 months." For clarity that leads to improves precision and aligns with the multilevel analysis approach

3. I suggest to rephrase "This study is based on a secondary dataset having 15,074 children..." to "The analysis used secondary data from the 2020 Somalia Demographic and Health Survey (SDHS), including 15,074 children aged 12–59 months."

4. I recommend to rephrase "poor deworming uptake (not receiving medication)" to: "non-receipt of deworming medication (poor uptake)."

5. I suggest to rephrase "Deworming coverage was critically low, with 92.0% of children exhibiting poor uptake (only 8.0% received medication)." to "Only 8.0% of children had received deworming medication, indicating critically low national coverage."

6. I suggest to rephrase "Counterintuitively, children without recent diarrhea had significantly higher odds of poor uptake (AOR=6.26)." to "Unexpectedly, children without recent episodes of diarrhea had significantly higher odds of not receiving deworming treatment (AOR = 6.26)."

7. Rephrase the sentences of conclusion for clarity.

8. I recommend to organize key words alphabetically for consistency

Introduction

1. I suggest to condense overly long and dense repetitive idea of introduction to improve readability. For example, the consequences of STH infections on under-five children (malnutrition, cognitive impairment, etc.) are mentioned multiple times and can be streamlined.

2. I suggest to break up long and cover multiple idea into shorter, focused paragraphs. For example, one for global context, one for regional/Sub-Saharan Africa, and another for Somalia-specific challenges

3. I recommend to revise the sentence, ``While effective and low-cos treatments exist, ensuring these interventions reach every child in need remains a formidable challenge, especially in resource-constrained and fragile settings`` to ``While effective and affordable treatments exist, delivering them to all eligible children—particularly in fragile settings like Somalia—remains a significant challenge.``

4. I recommend to rewrite ``This study addresses a critical knowledge gap by providing a contemporary analysis of deworming coverage and its determinants among children under five in Somalia, utilizing the most recent nationally to representative dataset – the SDHS 2020. The authors believed that the findings of this study will be to provide evidence-based recommendations to strengthen deworming strategies and improve child health outcomes in the challenging context of Somalia. `` to ``This study is among the first to use multilevel modeling on SDHS 2020 data to assess both individual- and community-level determinants of deworming uptake in Somali children. Unlike traditional analyses, this method accounts for data clustering and context-specific influences, offering more robust and actionable insights. ``

Methods and materials

1. I suggest to correct phrase of subheadings "Sampling Producers" to "Sampling Procedures"

2. I recommend to revise sentence "This study is based on a cross-sectional study design and utilizes secondary data extracted from the Somalia Health and Demographic Surveys (SHDS)-2020."to "This study employed a cross-sectional design using secondary data from the 2020 Somalia Demographic and Health Survey (SDHS). " and the survey is typically abbreviated as SDHS, not SHDS.

3. I suggest to remove redundancy (e.g., “age of the child” is listed twice).and formating long sentences of independent variables and correct upper and lower case of alphabets

4. I suggest to rewrite the sentences as the following and needs to put reference, ``The DHS wealth index was categorized into three groups for analysis: poor (poorest + poorer), middle, and rich (richer + richest). ``

5. I suggest to rewrite statistical analysis as ``Descriptive statistics were used to summarize the characteristics of the study population. Bivariate associations between deworming uptake and explanatory variables were assessed using Chi-square tests. To identify independent predictors, a multilevel mixed-effects logistic regression model was employed, accounting for clustering at the community level. Data cleaning and analysis were performed using STATA version 17. ``

Results

1. I suggest to correct a type, miscalculated CI or misinterpretation error of a sentence in the sentence, "The overall prevalence of poor deworming uptake in Somalia was 92% (95% CI: 10.67–11.99)."Because a 95% CI of 10.67–11.99 doesn't align with a point estimate of 92%.

2. I suggest to rewrite the sentence “Variation of poor deworming among maternal age 15-24(92.10%), 25-34(91.89%) and 35-49(91.60%).” to “Poor deworming uptake was varied among maternal age, with rates of 92.10% (15–24 years), 91.89% (25–34 years), and 91.60% (35–49 years).”

3. I suggest to put "Good" and "Poor" as separate columns with percentages and total N clearly in the table 2 and bold significant AORs or note them in text clearly

4. I recommend to use consistent past tense throughout ("was", not "is") and avoid redundancy and overly wordy phrasing

5. I recommend to add explanations of AIC and BIC under the table

Discussion

1. I recommend to rewrite the sentence “The findings reveal an alarmingly low prevalence of deworming, with only 8% of children reported to have received deworming medication, indicating that 92% had poor uptake.” to “Only 8% of children received deworming medication, highlighting alarmingly poor coverage.” in order to avoid redundancies & wordiness

2. I recommend to rewrite sentence “The protective effect observed when fathers are involved in health decisions (either alone or jointly with the mother, compared to the mother alone) warrants further investigation but may reflect complex intra-household dynamics regarding healthcare access or resource allocation in this specific cultural context.” into “The protective effect of father or joint decision-making may reflect household dynamics influencing healthcare access. This finding warrants further investigation. “to correct overuse of passive voice and Long sentence. “

3. I recommend to add report AORs in Results but not in Discussion as “Higher maternal education (AOR: 0.69 for primary, 0.35 for higher) was strongly associated with lower odds of poor uptake.”

Conclusion

1. I suggest to condense the conclusion as it is long

References

1. I suggest to add DOIs to maintain consistency in the reference number 1 and 2 as an example

2. I suggest to correctly format reference number 26

3. I recommend to merge reference number 6 and 28 as cited twice

Reviewer #2: Ali and co-authors addressed a crucial public health issue by exploring the contributing factors of low prevalence of deworming uptake among Somali children. However, revision is required before accepting this work for possible publication in Plos One. My recommendations are below:

Title

- I think the term ‘prevalence’ is not appropriate here, this is actually ‘coverage’ of deworming uptake. Consistency in terminology should be maintained throughout the manuscript; for example, the term is written as both “multi-level” and “multilevel.” So, the authors can consider the following title: Coverage and determinants of deworming uptake among under-5 children in Somalia: Multilevel analysis of SDHS 2020 data.

Abstract

- “Therefore, this study aimed to assess the prevalence and identify multilevel factors associated with deworming uptake among Somali children aged 12-59 months.” This sentence could be “Therefore, this study aimed to assess the coverage of deworming uptake and associated multilevel factors among Somali children aged 12-59 months.”

- “This study is based on a secondary dataset having 15,074 children aged 12-59 months and extracted from a countrywide cross-sectional survey, the 2020 Somalia Demographic and Health Survey (SDHS). Multilevel logistic regression was used to examine individual (maternal/child characteristics, health service use) and community (residence, region) factors associated with poor deworming uptake (not receiving medication).” No need to mention ‘secondary dataset and countrywide cross-sectional survey’ as people are familiar about the DHS. So, the authors can consider: This study considered/analyzed data of 15,074 children aged 12-59 months from the 2020 Somalia Demographic and Health Survey (SDHS). Chi-square test and multilevel logistic regression were used to examine the associated factors of poor deworming uptake.

- No need to mention “(only 8.0% received medication)”. focus more quantitative findings rather mentioning only factor names.

- ‘Deworming coverage among young children…..’. Be specific and consistent, there is a formal definition of young children, so replace the ‘young children’ with under-5 children.

- ‘Targeted strategies addressing socioeconomic disparities, promoting health facility use, and reaching rural populations are urgently needed.’ What are the targeted strategies authors like to recommend? Recommendation should be very specific rather some broader terms. Why association with diarrhea warrants investigation? It may be due to children with diarrhea visit either health facility or physicians and during that time physicians prescribe deworming medications. I suggest to search literature and discuss it in the discussion section. Remove the sentence: “Strengthening deworming programs is vital for child health and sustainable development in Somalia.”

Keywords

- Under-5 children; Soil-Transmitted Helminths; Deworming; Multilevel analysis; Somalia

Introduction

- Introduction is unnecessarily large, there are some sentences that are not relevant and necessary. So, the introduction should be concise aligning with the objectives. Remove the sentence: ‘The authors believed that the findings of this study will be to provide evidence-based recommendations to strengthen deworming strategies and improve child health outcomes in the challenging context of Somalia.’

Methods and Materials

- Remove “Study Area: Somalia is located in the Horn of Africa, with an estimated surface area of 637,657 km2 and a terrain consisting mainly of plateaus, plains, and highlands. It has the longest coastline in Africa, stretching over 3,333 km along the Gulf of Aden to the north and the Indian Ocean to the east and south. It borders Djibouti along the northwest, Ethiopia to the west, and Kenya to the southwest. Somalia has been described as Africa’s most culturally homogenous country, with around 85% of its residents being ethnic Somalis. The population density in Somalia is about 29 people per square kilometer.”

- The sub-heading ‘Study Design and Data Source’ could be replaced by ‘Study Design, Setting, and Data’

Results

- There are too many results repeated from table. Authors should write only potential findings in the text and avoid decimal point from the text as well as from the table 1.

- Authors can show the results of regression model using forest plot rather table and mention the model performance criteria in the text in order to avoid complexity for readers.

Discussion

- Discussion section needs improvement focusing potential findings.

Conclusion

- Conclusion is too long, it should be very concise.

References

- Among the cited references, most citations are very older. I recommend to cite updated evidences.

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Reviewer #1: Yes:  Abdulwase Mohammed Seid

Reviewer #2: No

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PLoS One. 2025 Nov 14;20(11):e0336429. doi: 10.1371/journal.pone.0336429.r002

Author response to Decision Letter 1


22 Sep 2025

Authors' responses to the review comments:

We would like to sincerely thank the anonymous reviewers, and the Academic Editor, for their valuable comments. We have considered all comments and then thoroughly revised and formatted the manuscript. A detailed response to each comment is provided below.

Author's Response to the Editor Comments:

Thank you very much for your comments and feedback. We believe that it helps to enhance the quality of the manuscript. As per comments, a careful revision has been conducted, and all required files are uploaded to the journal submission system. The revised texts are highlighted in “red” color.

Author's Response to the Journal Requirements:

Thank you very much. We revised the manuscript as per PLOS ONE Style.

Thanks. We revised the data availability statement.

Thanks. We revised the manuscript as per your review comments.

Thanks. We reviewed the references and ensured that the list is complete and correct.

Author's Response to the Reviewer 1 Comments:

Thank you very much for your comments and feedback. We believe that it helps to enhance the quality of the manuscript. We revised the manuscript as per your review comments.

The 2020 SDHS is the last country representative data and no new data is available. We check the whole manuscript and fix the grammatical issues and formatting. Revised texts are in “red”.

Thanks for your suggestion. We appetite it. We changed the title as per your suggestion.

The 2020 SDHS is the last countrywide survey data and no new country representative data is available. That’s why we used the 2020 SDHS data. Revised texts are in “red”. Page: 1

Thank you very much for your suggestion. We revised it accordingly. Revised texts are in “red”. Page: 1

Thanks. We revised the sentence. Revised texts are in “red”. Page: 1

Thank you. We revised the manuscript accordingly. The revised texts are in “red”. Page: 1

Thanks. We revised the manuscript as per your recommendation. The revised texts are in “red”. Page: 2

Thank you. We appreciate it. We revised the manuscript as per your suggestion. The revised texts are in “red”. Page; 2

Thanks. We revised the manuscript. The revised texts are in “red”. Page; 2

Thanks. We revised the Conclusion section. The revised texts are in “red”. Page; 2

Thanks. The keywords are arranged in alphabetical order. The revised texts are in “red”. Page: 2

Thank you very much. We delete the repeated texts, The revised texts are in “red”. Page: 2-4

Thanks for your suggestion. We rearranged the Introduction section as per your comments. The revised texts are in “red”. Page: 2-4

Thanks for your recommendation. We appreciate your effort. We revised the manuscript as per your suggestion. The revised texts are in “red”. Page: 3

Thanks. We revised the texts accordingly. The revised texts are in “red”. Page: 4

Thank you very much for your comments. We revised the typo. The revised texts are in “red”. Page: 5

Thank you very much. We revised the manuscript as per your recommendation. The revised texts are in “red”. Page: 5

Thanks. We delete the repetition and correct the typos. The revised texts are in “red”. Page: 5

Thank you. We revised the texts and add a reference. The revised texts are in “red”. Page: 5-6

Thank you very much for your feedback. We revised the texts accordingly. The revised texts are in “red”. Page: 6

Thank you very much for your careful checking of the manuscript and provide the insightful comments. We believe that it helps to enhance the quality and readability of the manuscript. We revised the texts. The revised texts are in “red”. Page: 6

Thanks for your suggestion. We revised the texts accordingly. The revised texts are in “red”. Page: 6

Thanks. We put "Good" and "Poor" as separate columns with percentages in Table 1. We also bold significant AORs for a clear understanding in Table 2. The revised texts are in “red”. Page: 6, 9-10

Thanks. We revised the manuscript. The revised texts are in “red”. Page: 8

Thanks. We add them under Table 2. The revised texts are in “red”. Page: 10

Thank you very much for your suggestion. We revised the manuscript. The revised texts are in “red”. Page: 10

Thanks for your recommendation. We appreciate it. We revised the texts accordingly. The revised texts are in “red”. Page: 10

Thanks. We deleted the AORs from the Discussion section. The revised texts are in “red”. Page: 11-12

Thanks. We revised the Conclusion section. The revised texts are in “red”. Page: 13-14

Thanks. We revised the reference list. The revised texts are in “red”. Page: 15-17

Author's Response to the Reviewer 2 Comments:

Thank you very much for your insightful comments and feedback. We believe that it helps to enhance the quality of the manuscript. We revised the manuscript accordingly. The revised texts are in “red”.

Thanks. We revised the title of the manuscript, The revised texts are in “red”. Page: 1

Thank you. We revised the texts. The revised texts are in “red”. Page: 1

Thanks. We revised the manuscript. The revised texts are in “red”. Page: 1-2

Thank you. We revised the Results section. The revised texts are in “red”. Page: 1-2

Thanks. We revised it accordingly. The revised texts are in “red”. Page: 2

Thanks. We revised it. The revised texts are in “red”. Page: 2

Thanks. We revised the Keywords following the alphabetical order. The revised texts are in “red”. Page: 2

Thanks. The introduction section is revised. The revised texts are in “red”. Page: 2-4

Thanks. We appreciate your comment. We removed it. The revised texts are in “red”. Page: 4-5

Thanks for your suggestion. We revised it. The revised texts are in “red”. Page: 4

Thanks. We rewrite the findings in the Results section. The revised texts are in “red”. Page: 6

Thanks for your suggestion. Actually, showing the results of 3 models in a forest plot presents some difficulties because not all variables were included in the 3 models.

Thanks. We revised the Discussion section. The revised texts are in “red”. Page: 10-12

Thanks. We revised the Conclusion section. The revised texts are in “red”. Page: 13

Thanks. We revised the references.

In conclusion, the revised version of the manuscript has been produced as per the review outcomes. So, we hope that you will be happy to see this greatly improved version. Once again, we would like to thank you all for your dedication, professional services, and cooperation.

Attachment

Submitted filename: Point-by-point response to reviewers.pdf

pone.0336429.s003.pdf (164.5KB, pdf)

Decision Letter 1

Clement Yaro

15 Oct 2025

Dear Dr. Hossain,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Nov 29 2025 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org . When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

Reviewer #1: (No Response)

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions??>

Reviewer #1: Yes

Reviewer #2: Yes

**********

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Reviewer #1: Yes

Reviewer #2: Yes

**********

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The PLOS Data policy

Reviewer #1: Yes

Reviewer #2: Yes

**********

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Reviewer #1: Yes

Reviewer #2: Yes

**********

Reviewer #1: Dear editor, thank you for the opportunity to review the revised version of the manuscript titled "Coverage and Determinants of Deworming Uptake among Under-Five Children in Somalia: A Multilevel Analysis of the 2020 SDHS Data"

Manuscript ID: PONE-D-25-36783

I have carefully evaluated the authors' responses to my initial comments and appreciate their efforts in addressing most of the concerns raised. However, two important issues remain unresolved:

1. Age Range for Deworming Coverage: The authors continue to report deworming coverage among children aged 12–59 months. However, children aged 12–23 months are not typically included in the target population for deworming in many national programs, where the standard target group is children aged from 24 months. I recommend that the authors either:

� Re-analyze or reframe their findings using the 24–59 month age group, in line with national and international deworming guidelines, after confirming the age-specific data in the 2020 SDHS, or

� Provide a clear justification—supported by relevant national or international policy or published literature—for including children aged 12–23 months in the analysis to make for readers clear.

2. Inconsistent Confidence Interval Reporting: In the statement “The overall prevalence of poor deworming uptake in Somalia was 92%”, the previously cited 95% confidence interval (10.67–11.99) does not correspond to the reported point estimate and appears to be an error. This discrepancy has not been addressed in the revision. The authors should correct this by reporting an accurate and appropriate confidence interval consistent with the prevalence estimate.

Recommendation: Minor Revision

With these remaining issues adequately addressed, the manuscript would be suitable for publication.

Reviewer #2: The authors have addressed all the comments raised by the reviewers. The authors may consider to use a forest plot instead of table for presenting the results of the regression models.

Best wishes for the authors!

**********

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Reviewer #1: Yes:  Abdulwase Mohammed Seid

Reviewer #2: No

**********

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PLoS One. 2025 Nov 14;20(11):e0336429. doi: 10.1371/journal.pone.0336429.r004

Author response to Decision Letter 2


15 Oct 2025

Authors' responses to the review comments:

We would like to sincerely thank the anonymous reviewers and the Academic Editor for their valuable comments. We have considered all comments and then thoroughly revised and formatted the manuscript. A detailed response to each comment is provided in the tables as follows.

Author's Response to Editor Comments:

Thank you very much for your comments and feedback. We believe that it helps to enhance the quality of the manuscript. As per comments, a careful revision has been conducted, and all required files are uploaded to the journal submission system. The revised texts are highlighted in “red” color.

Author's Response to Journal Requirements:

1. Thank you very much. We checked it carefully.

2. Thanks. We checked the reference list and all are OK.

Author's Response to Reviewer 1 Comments:

Thank you very much for your comments and feedback. We believe that it helps to enhance the quality of the manuscript. We revised the manuscript as per your review comments.

We checked and revised our manuscript based on the published literature on children aged 12-59 months. The following. Some of them are given below.

https://doi.org/10.1371/journal.pone.0297377

https://doi.org/10.1371/journal.pntd.0006500

https://doi.org/10.1016/j.jegh.2013.12.005

https://doi.org/10.1155/2023/9529600

https://dhsprogram.com/Data/Guide-to-DHS-Statistics/Micronutrient_Supplementation_and_Deworming_among_Children.htm

Revised texts are in “red”. Page: 4

Thanks for your suggestion. We appreciate it. It was a typo, so we removed it from the manuscript. As per your comments, we have added the corrected 95%CI in the manuscript. Revised texts are in “red”. Page: 6

Author's Response to Reviewer 2 Comments:

Thank you very much for your insightful comments and feedback. We believe that it helps to enhance the quality of the manuscript. We add the forest plot. The revised texts are in “red”. Page: 9

In conclusion, the revised version of the manuscript has been produced as per the review outcomes. So, we hope that you will be happy to see this greatly improved version. Once again, we would like to thank you all for your dedication, professional services, and cooperation.

Attachment

Submitted filename: Point-by-point response to reviewers.docx

pone.0336429.s004.docx (24.3KB, docx)

Decision Letter 2

Clement Yaro

27 Oct 2025

Coverage and Determinants of Deworming Uptake among Under-Five Children in Somalia: A Multilevel Analysis of the 2020 SDHS Data

PONE-D-25-36783R2

Dear Dr. Hossain,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Kind regards,

Clement Ameh Yaro, Ph.D

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions??>

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously? -->?>

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available??>

The PLOS Data policy

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English??>

Reviewer #1: Yes

Reviewer #2: Yes

**********

Reviewer #1: Dear Editor, thank you for the opportunity to re-review the revised version of the manuscript titled “Coverage and Determinants of Deworming Uptake among Under-Five Children in Somalia: A Multilevel Analysis of the 2020 SDHS Data”

Manuscript ID: PONE-D-25-36783R2

I have carefully examined the authors’ revised manuscript and their detailed responses to my previous comments. I am pleased to note that the authors have satisfactorily addressed all the issues raised in the earlier round of review, including clarification of the age range for deworming coverage and correction of the confidence interval reporting. The revisions have substantially improved the clarity, methodological soundness, and overall presentation of the manuscript.

I have no further concerns and find the revised version suitable for publication in PLOS ONE.

Recommendation: Accept

Reviewer #2: Authors revised the manuscript as per the suggestions by the reviewers. My recommendation is to accept this manuscript for possible publication.

**********

what does this mean? ). If published, this will include your full peer review and any attached files.

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Reviewer #1: Yes:  Abdulwase Mohammed Seid

Reviewer #2: No

**********

Acceptance letter

Clement Yaro

PONE-D-25-36783R2

PLOS ONE

Dear Dr. Hossain,

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team.

At this stage, our production department will prepare your paper for publication. This includes ensuring the following:

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on behalf of

Dr. Clement Ameh Yaro

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. Multivariable multilevel analysis result of poor deworming among children of 12–59 months in Somalia.

    (DOCX)

    pone.0336429.s001.docx (22.5KB, docx)
    S1 File. Data.

    (CSV)

    pone.0336429.s002.csv (3.5MB, csv)
    Attachment

    Submitted filename: Point-by-point response to reviewers.pdf

    pone.0336429.s003.pdf (164.5KB, pdf)
    Attachment

    Submitted filename: Point-by-point response to reviewers.docx

    pone.0336429.s004.docx (24.3KB, docx)

    Data Availability Statement

    The data is freely accessible through the Somali National Data Archive (SoNADA) website at https://microdata.nbs.gov.so/index.php/catalog/50.


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