Prevalence of malaria and helminth infections in rural communities in northern Sierra Leone, a baseline study to inform Ebola vaccine study protocols.

INTRODUCTION: Recurrent parasitic infections may influence the immune response to vaccines. In the Partnership for Research on Ebola VACcinations extended follow-UP and clinical research capacity build-UP (PREVAC-UP) study being undertaken in Mambolo, northern Sierra Leone, participants are being followed up to assess the potential impact of exposure to malaria and/or helminth infections on long-term immune response to two Ebola vaccines. To support the development of the assays that will be used in this evaluation, a parasitological survey was conducted in Mambolo between November 2019 and February 2020.
METHODS: Healthy individuals aged ≥1 year who were resident in Mambolo Chiefdom were selected using a stratified sampling approach and questionnaires were administered to explore their sociodemographic characteristics. Microscopy was used to detect malaria parasites, intestinal helminths and urinary schistosome infections. Rapid blood tests were used to detect infections with Onchocerca volvulus and Wuchereria bancrofti. We estimated the overall prevalence of these infections and used adjusted logistic regression models to explore risk factors for malaria and hookworm infection.
RESULTS: Eight hundred and fifteen (815) residents, 50.9% of whom were female were surveyed. Overall, 309 (39.1%) of 791 persons tested for malaria had a positive blood slide; Plasmodium falciparum was the dominant species. Helminth infection was detected in 122 (15.0%) of 815 stool samples including three mixed infections. The helminth infections comprised 102 (12.5%) cases of hookworm, 11 (1.3%) cases of Trichuris trichiura, 10 (1.2%) cases of Schistosoma mansoni and two (0.2%) cases of Ascaris lumbricoides. Being male (OR = 2.01, 95% CI 1.15-3.50) and residing in a non-riverine community (OR = 4.02, 95%CI 2.32-6.98) were the factors associated with hookworm infection. Onchocerca volvulus and Wuchereria bancrofti infections were found in 3.3% and 0.4% of participants respectively.
CONCLUSION: Malaria and hookworm are the most prevalent parasite infections and those most likely to influence long-term immune response to Ebola vaccines among the trial participants.

Introduction

Sierra Leone has an estimated population of eight million and an under-five mortality rate of 105 per 1,000 live births [1]. The country was severely affected by the 2014–2016 West African Ebola epidemic which resulted in 28,616 cases and 11,310 deaths in Guinea, Liberia and Sierra Leone [2]. In 2018, the London School of Hygiene and Tropical Medicine (LSHTM) in collaboration with the College of Medicine and Allied Health Sciences (COMAHS), University of Sierra Leone, the United States National Institute of Health (NIH), the French National Institute of Health and Medical Research (INSERM) and other partners initiated the Ebola vaccine study (PREVAC) in the Kambia district in northwest Sierra Leone.

This trial is investigating the initial and long-term safety and immunogenicity of the two prophylactic Ebola vaccines, the two-dose heterologous vaccine regimen of Ad26.ZEBOV and MVA-BN-Filo vaccines (Janssen Vaccines & Prevention B.V.) and a single or boosted regimen of the recombinant Vesicular Stomatitis Virus (rVSV) vaccine (Merck Sharp and Dohme) (https://clinicaltrials.gov/ct2/show/NCT02876328) [3]. Initial studies of the vaccine regimens have demonstrated the safety and immunogenicity of each vaccine [3-5]. The rVSV vaccine has shown protection against Ebola disease using ring vaccination in Guinea and the Democratic Republic of Congo (DRC) [6, 7]. The duration of protective levels of antibody to each vaccine regimen is being evaluated in an extension to the PREVAC clinical trial (the PREVAC-UP study) [8]. The Ebola vaccines are evaluated in persons aged one year and older.

There is evidence that malaria and some helminth infections can suppress the immediate response to some vaccines [9-14]. However, there is little information as to whether repeated exposure to malaria and helminth infections influences the rate in decline in antibody titres, and consequently the time when a booster dose of vaccine might be needed in exposed populations. Determining the potential impact of repeated exposure to malaria and/or to helminths on the duration of the immune response to three Ebola vaccine regimens is one of the objectives of the PREVAC-UP study. This will be done through measuring antibody titres to malaria and to selected helminths at annual surveys for five years after vaccination using a Luminex platform [15]. In order to determine which antigens to employ in the Luminex assay, a cross-sectional parasitological survey has been conducted in the community where the PREVAC-UP survey is being undertaken and the results of this survey are presented in this paper.

Methods

Study site

The study was conducted in Mambolo Chiefdom on the southern border of Kambia district, northern Sierra Leone. The Chiefdom covers an area of 230km2. It is largely rural and has an estimated population of 37,952; approximately 36% of inhabitants are children aged below 11 years of age [16]. Most residents of Mambolo town are subsistence farmers who cultivate rice and vegetables in swampy areas along the Great Scarcies River. This river, which is fast flowing in some areas, is a source of water for domestic use, irrigation, freshwater fishing and recreational swimming. Other sources of water in the Chiefdom include boreholes. The residents of Malambay and Robana villages, situated about 10 kilometres away from the river, live on drier land and do not have as much access to the river. The Chiefdom is thus distinctly divided into riverine and non-riverine areas.

The Mambolo health centre (MHC) is the main health facility in the Chiefdom. It is managed by a community health officer and community health nurses and offers primary health care that include maternal and child health services. It also oversees the sub-district implementation of malaria control interventions such as the distribution of insecticide-treated nets (ITN) and Mass Drug Administration (MDA) in the control of Soil-Transmitted Helminths (STH), and other Neglected Tropical Diseases (NTDs): Lympahpatic filariasis (LF) and onchocerciasis (OV). Mass distribution of ITNs at a rate of one per 3 individuals per household is undertaken every four years. Pregnant women and children aged less than five years are routinely given ITNs at antenatal and child health clinics respectively.

Deworming of School-Aged Children (SAC) with albendazole has been part of the public health system in Sierra Leone for many years. The program defined SAC to be children aged between 5 and 14 years. A national impact survey in 2016 however demonstrated that the intervention was no longer justified. MDA-LF with ivermectin and with albendazole was undertaken annually from 2008–2017 for everyone over 5 years of age. Since 2018 however, this activity has been targeted at only SAC. Deworming of pre-SAC with albendazole continues to be undertaken every six months. This is done through local health facilities and community outreach services.

Selection of houses and participants for the parasitological survey

All houses in Mambolo town (riverine) and Malambay and Robana villages (non-riverine) were identified, mapped, and numbered. The target population size for the survey was 500 participants each in riverine and non-riverine communities. Assuming an average number of eligible (aged 1 year or older) persons to be five per household, probability proportional to size was used to determine the number of houses that needed to be visited to achieve the target number of participants. The houses were selected randomly.

Procedures

The cross-sectional survey was conducted between November 2019 and February 2020. This period was within the dry season when cases of malaria are generally expected to be lower than would be the case in the rainy season. Trained fieldworkers visited each selected house and identified all members of the household who were aged one year or older. After informed consent had been obtained, fieldworkers administered a paper-based questionnaire to each head of household to collect data on the demographic characteristics of members of the household and on the household’s characteristics.

Each enumerated member of household, or their guardian if they were aged less than 18 years, was interviewed with a paper-based questionnaire to obtain data on educational status, occupation, travel history, recent illnesses, and vaccination status (young children). Data were also collected on health-seeking behaviours, experience of fever, infection prevention practices, such as possession and use of an ITN, and uptake of MDA. The interviews were conducted in local languages. The questionnaires are attached as supplements to this paper.

Sample collection

Trained phlebotomists took 2.5mls of venous blood into appropriately labelled collection tubes. Participants were given pre-labelled containers and information on how to provide urine and stool samples under hygienic conditions. All samples were analysed according to standard operating procedures at the research laboratory in Kambia town.

Thick and thin blood smears were Giemsa-stained and read by two experienced microscopists. Slides were declared negative only after 100 high power fields had been examined. When a slide was positive, parasites were counted against 200 white blood cells to determine parasite density. Discordant slides from the two microscopists in either positivity or density according to a standardise algorithm were read by a third microscopist [17]. The concordant results for parasitaemia and species, and the average of the two closest parasite densities were taken as the final results.

Rapid diagnostic tests for Onchocerca volvulus (O. volvulus) and Wuchereria bancrofti (W. bancrofti) were performed with SD Bioline Onchocerciasis IgG4 Rapid Test (Alere, Standard Diagnostics, Inc, Yongin-si, Republic of Korea) and Alere Filariasis Test Strips (Alere Scarborough, USA) respectively. These rapid diagnostic test kits qualitatively detect IgG4 antibodies against the Ov16 antigen and circulating W. bancrofti antigens respectively.

The presence of Schistosoma haematobium eggs in urine was explored using the Schistosome Test Kit (Sterlitech Corporation, Kent, USA). Kato-Katz kits (Sterlitech Corporation, Kent, USA) were used to prepare slides from stool samples that were examined for eggs of S. mansoni and other intestinal helminths. As part of quality control for the procedure, the microscopic examination took place within 30 minutes after sample processing. Ten percent of negative samples and all positive samples were reread by a senior laboratory staff immediately after the first reading to validate the results.

Data management and analysis

Completed questionnaires and laboratory results were double entered using a platform created in OpenClinica Community Version 3.2. Clean data were exported and analysed with STATA version 15.1.

Descriptive data analysis was done for all survey participants. The overall prevalence of each parasitic infection (malaria, intestinal helminths, O. volvulus and W. bancrofti) was calculated for all participants then further analysed to obtain prevalence for riverine and non-riverine areas separately. We used sampling weights to account for the sampling design in the regression analyses. The regression analyses were used to explore risk factors for malaria and hookworm infections. The number of positive samples for the remaining parasitic infections was too small for risk factors to be determined. Odds ratios and 95% confidence intervals were obtained for each explanatory variable and malaria infection or hookworm infection in the respective logistic models. Wald tests, adjusted for sampling design were used in determining statistical significance. The association between age, sex and parasitic infections were not adjusted for other explanatory variables as age and sex were considered a priori potential confounders for the association between malaria infection and area of residence, sleeping under an ITN and duration since last fever episode. Similarly, in the logistic regression for hookworm infection, age and sex were a priori confounders of the association between infection and area of residence, time since last MDA, and frequency of contact with water from river, lake, canal or rice field. The variables with a p value <0.05 were considered to be significantly associated with malaria or hookworm infection depending on the appropriate model. This model building strategy, that takes the interrelationship between explanatory variables into consideration, ensures that the effects of both distal and proximal determinants of parasitic infection are estimated appropriately.

Ethical considerations

The study was approved by the ethics committees of LSHTM and the Sierra Leone Ethics and Scientific Review Committee of the Ministry of Health and Sanitation. Community consent was obtained through meetings with the paramount chief and community elders. Meetings were organised in the communities to inform people about the survey and the proposed procedures. Written informed consent was obtained from the heads of each selected households and individual participants. Written assent was obtained from household members who were aged 12–17 years (inclusive) while a parent or guardian gave consent on behalf of children who were 12 years of age or younger. When a participant could not read or write in English, consent and or assent was obtained with the help of an impartial witness. Each participant was given 15,000 Sierra Leone Leones (approximately USD 1.50) as compensation for the time spent in participating in the survey.

Participants who had fever or other symptoms suggestive of malaria within three days of the survey were tested for malaria using Abbott SD BIOLINE Malaria Ag P.f/Pan rapid diagnostic test and immediately treated with artemether and lumefantrine if this was positive. Other reported minor ailments were treated by nurses who were part of the survey team. After laboratory examination of stool samples, participants who had intestinal helminth infections, including S. mansoni, were offered treatment according to standard practice of praziquantel (using a dose pole) [18, 19] or albendazole 200mg for children 1–2 years of age and 400mg for those two years and older.

Results

Two hundred household heads were invited to participate in the survey, 165 of whom (82.5%) agreed to participate. The overall response rate was 815/992. The response rate in riverine communities was significantly higher at 505/549 (92%) versus 310/443 (70%, p < 0.001) in non-riverine communities. Overall, the median number of household members living in a household was 4 (range 1 to 16). The median number of household members in riverine communities was 5 (1–16) versus 3 (1 to 13) in non-riverine communities. Of the 815 participants, 415 (50.9%) were female and 402/813 (49.4%) were aged 18 years or older ( and 772 out of 813 (95.0%) were Themne. Most participants were Muslim (798/ 815, 97.9%) and the predominant occupation was farming (205/ 815, 25.2%). (.

Malaria parasitaemia

Of 815 participants, 791 (97.1%) had malaria microscopy results available; 309/791 (39.1%) participants had a positive malaria slide. A single malaria parasite species was identified in 288 slides, two species were identified in 13 slides (11 involved mixed infections of P. falciparum and P. malariae while two involved mixed infections of P. falciparum and P. ovale) and speciation was not reported for 8 slides. Thus, there were 324 positive speciation results from 301 out of 309 malaria positive samples; 287/791 (36.3%) samples were positive for P. falciparum, whilst P.malariae, P.ovale and P.vivax were identified in 29/791 (3.7%), 7/791 (0.9%), and 1/791 (0.1%) samples, respectively ().

The proportion of individuals with malaria parasitaemia was similar among participants who were resident in riverine (180/488; 36.9%) or non-riverine communities (129/303; 42.6%). Similarly, the prevalence of malaria parasitaemia was similar in males and females (39.6% [153/386] versus 38.9% [156/401], respectively). Twenty-one (26.9%) out of the 78 participants aged 1–4 years had malaria parasitaemia compared to 91/183 (49.7%), 87/135 (64.4%), and 110/393 (28.0%) among participants aged 5–11 years, 12–17 years and 18 years and above, respectively. Compared to participants aged 5-11years, participants aged 1–4 years (Odds Ratio = 0.35, 95% CI 0.20–0.62) and 18 years and older (OR = 0.41, 95% CI 0.26–0.66) were less likely to have malaria parasitaemia. Participants who were aged 12-17yrs (OR = 1.94, 95% CI 1.16–3.24) were more likely to have malaria parasitaemia than those aged 5–11 years. In the adjusted analysis, age and time since last episode of fever were associated with malaria parasitaemia. The participants who did not sleep under an ITN were more likely to have malaria parasites than those who did (43.6% versus 38.3%; OR = 1.63, 95%CI 0.97–2.76) ().

Soil-transmitted helminths and schistosome infections There were 125 positive tests for helminth infection and these positive tests occurred in 122 participants (three stool samples had mixed infections accounting for 6 infections). The positive helminth infections comprised 102 (12.5%) cases of hookworm, 11 (1.3%) cases of (). Fifty (43.5%) out of the 122 cases with evidence of helminth infection were female. The median age of participants with positive stool egg findings was 17.5 (interquartile range of 10–35) years. Thirty-seven (32.2%) cases were in children aged less than 12 years of age. No S. haematobium eggs were detected on urine microscopy.

Compared with participants who lived in the riverine communities, participants who resided in the non-riverine communities were about four times more likely to have hookworm infection (AOR = 4.02, 95% CI 2.32–6.98). () Participants who made weekly, monthly or rare contacts with the river or rice fields and those who made daily contact were more likely to have hookworm infection than those who did not have any contact with the river or rice field. (AOR = 2.03, 95% CI 1.03–3.99 and AOR = 3.34, 95% CI 1.79–6.23 respectively).

Compared to participants aged 5-11years, those aged 1–4 years were less likely to have hookworm infection (AOR = 0.06, 95% CI 0.01–0.47). Males were more likely to have hookworm infection than female participants (AOR = 2.01, 95% CI 1.15–3.50). Participants who had never taken albendazole were less likely to have hookworm infection compared with participants who had taken albendazole as part of an MDA within six months prior to the survey, (AOR = 0.25, 95%CI 0.07–0.83) ().

Blood associated parasites (O. volvulus and W. bancrofti)

Samples from 27/812 (3.3%) participants tested positive for O. volvulus using a rapid serology test. Only three of these 27 participants were aged below 18 years (two 10-year-olds and one 11-year-old). Only three of 812 (0.4%) samples tested were positive based on a rapid serology test for W. bancrofti test (). The three cases were aged 17, 27 and 46 years old; two were females. One participant with a positive test for O. volvulus had travelled to the Republic of Guinea in February 2019 where he stayed for three months. None of the remaining 29 participants with positive test for O. volvulus or W. bancrofti had travelled out of Sierra Leone within the 12 months preceding the survey.

Discussion

This survey, conducted in a rural community in northern Sierra Leone, was undertaken as part of a larger study to explore how repeated parasite infections could influence immune responses to the two currently licenced vaccines against EVD. Specifically, the findings will assist in defining the antigens that will be included in a Luminex assay that will be used to detect antibodies to parasite infections in this community. Response to participation in the survey was better in the riverine than non-riverine communities. The riverine communities are closer to the offices of the Ebola vaccine project. It is conceivable that community engagements activities in the Ebola vaccine project may have impacted positively on the willingness of people in the riverine communities to participate in the survey compared to people in the non-riverine communities.

The findings of the survey demonstrated a continuing high malaria burden in this part of Sierra Leone but a low prevalence of helminth infections. The prevalence of hookworm infection was comparatively higher at 12.5%. Based on the findings of the survey, malaria and hookworm antigens are strong candidates for incorporating in the Luminex assay.

There is evidence of a substantial reduction in malaria transmission in many parts of sub-Saharan Africa in the past two decades although this has stalled in recent years [20]. However, the prevalence of malaria in Sierra Leone remains high. During the 2016 Sierra Leone Malaria Indicator Survey (SLMS), Kambia and Port Loko were among districts with the highest levels of malaria parasitaemia among children aged less than five years (48% and 59% respectively) [21]. The prevalence in Port Loko District was the highest in the country. The Mambolo Chiefdom, although geographically defined within Kambia district, lies on the boundary of Port Loko district. It is therefore not surprising that, in the present survey, a high prevalence of malaria parasitaemia was found, with age being an important determinant of asymptomatic infection. The prevalence of malaria in children aged 1–4 years in our study (26.9%) is lower than the prevalence of 39.5% found in the 2016 SLMIS for children aged 1–4 years. The higher prevalence in the 2016 SLMIS may have been due to the use of RDTs to detect diagnosis malaria parasitaemia in that survey. The trend in malaria prevalence across the age groups i.e., lower in under-five year old children and adults, but higher in older children and adolescents, is consistent with the pattern now seen in many sub-Saharan African communities, for example in community surveys in Uganda and The Gambia [22, 23]. This may be due in part to the fact that older children do not use ITNs as much as under-five year old children and adults.

The findings from the current study highlight the need to better understand the factors that sustain continuing high levels of malaria parasitaemia in the healthy population in Mambolo and similar areas and how this might be reduced. Residents of Mambolo district have good access to diagnosis and treatment, supported in part by the Ebola vaccine research initiatives, and a relatively high level of use of ITNs. Thus, although improvements could be achieved by increasing coverage with existing interventions, novel interventions are needed for communities such as Mambolo if the prevalence of malaria is to be reduced substantially.

In contrast to malaria, the survey found that the prevalence of lymphatic filariasis and onchocerciasis in Mambolo was very low. The National Neglected Tropical Diseases program (NNTDP) has benefitted from over a decade of funding from USAID and technical support from Helen Keller International. Although this study did not employ the WHO recommended methodology for conducting Transmission Assessment Survey (TAS) [24, 25] the findings align well with previous TASs conducted by the NNTDP where the prevalence of W. bancrofti was below the critical cut-off value for sustaining transmission. This survey results also suggest that the prevalence of O. vulvuus is also approaching a level at which transmission will no longer be sustainable [18, 19].

Schistosomiasis is targeted for control by the NNTDP using preventive chemotherapy. The World Health Organization (WHO) recommends that all SAC and high-risk adults (occupationally exposed to snail infested fresh water) should receive praziquantel annually/biennially in communities that are highly/moderately endemic (<50%, 10–50% prevalence). A 2016 national impact survey found the prevalence of S. mansoni and S. haematobium in Kambia to be 0.4% and 0.4% respectively. The low prevalence is most likely to be due to the lack of the intermediate hosts (fresh-water snails) in the brackish waters of low-altitude coastal districts [26].

The NNTDP also aimed to control the transmission of STH MDA delivered according to WHO protocols for high, moderate and low risk prevalence by age groups. MDA for STH has targeted pre-school aged children twice annually since 2006. Annual MDA for LF with Ivermectin and Albendazole included SAC and adults from 2008–2017. From 2018 to date annual MDA for onchocerciasis has included Albendazole for SAC. Except in the case of hookworm, these results are consistent with the decreasing trend in prevalence as observed in the NNTDP baseline survey in 2008 (any STH: 36%, hookworm 23%) and the impact survey in 2016 (any STH: 10%, hookworm 1.2%). No moderate or high intensity STH infections were found in Kambia in 2016.

Conclusion

This study has shown that the prevalence of malaria in Mambolo, where the PREVAC-UP Ebola vaccine trial is being conducted, is still very high and it is possible that this infection could impact on the persistence and/or level of anti-Ebola antibodies following vaccination. In contrast, the prevalence of helminth infections is low. It will be important that the Luminex serological assay is able to detect antibodies against hookworm which is now the only STH of note. The findings from this survey confirm the progress that the NNTDP is making towards control and elimination of NTDs.

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28 Feb 2022

4 Jun 2022

Reviewers’ comments and actions taken.

We are grateful to the reviewers for their compliments and critical review of the manuscript. We have found their comments to be useful and we have accordingly revised the manuscript.

Below is a point-by-point account of how we have used the comments to revise the manuscript.

Comment 1

1. MDA regimens: lines 117 - 121 indicate that, since 2018, school-aged children (SAC) were the sole recipients of (annual) ivermectin plus albendazole, although this age-group had been receiving albendazole every 6 months up until 2016 when it was deemed no longer necessary.

Can the authors clarify from when SAC received albendazole every 6 months, and indicate how that treatment was integrated with the combined ivermectin-albendazole MDA given to all aged >5 up until 2017. Also, in the Sierra Leonean context, for clarity they should specify what age-group constitutes SAC.

Response 1

We have revised the manuscript in lines 122-128 with a clarification of this section as follows

Deworming of School-Aged Children (SAC) with albendazole has been part of the public health system in Sierra Leone for many years. The program defined SAC to be children aged between 5 and 14 years. A national impact survey in 2016 however demonstrated that the intervention was no longer justified. MDA-LF with ivermectin and with albendazole was undertaken annually from 2008-2017 for everyone over 5 years of age. Since 2018 however, this activity has been targeted at only SAC. Deworming of pre-SAC with albendazole continues to be undertaken every six months. This is done through local health facilities and community outreach services.

.

Comment 2

2. Sample procedures: lines 153 - 159 outline the quality control procedure used for microscopical diagnosis of plasmodial parasites. Was no such confirmatory procedure adopted for the Kato-Katz-based diagnoses?

Response 2

We have revised the manuscript in lines 177-179 to improve clarity as follows:

As part of quality control for the procedure, the microscopic examination took place within 30 minutes after sample processing. Ten percent of negative samples and all positive samples were reread by a senior laboratory staff immediately after the first reading to validate the results.

Comment 3

3. The rate of agreement to participate by household heads was appreciably lower in the non-riverine community. If there were consistent reasons found for this, they should be detailed.

Response 3

We agree to the suggestion and have revised in lines 307-311 to include the following

Response to participation in the survey was better in the riverine than non-riverine communities. The riverine communities are closer to the offices of the Ebola vaccine project. It is conceivable that community engagements activities in the Ebola vaccine project may have impacted positively on the willingness of people in the riverine communities to participate in the survey compared to people in the non-riverine communities.

Comment 4

4. The authors should clarify whether the Ebola vaccines under study are intended to be tested in specific age groups.

Response 4

We have revised the manuscript in lines 86-87 as follows

The Ebola vaccines are evaluated in persons aged one year and older.

Reviewer #1:

Comment 5

The authors present their manuscript on the prevalence of malaria and helminth infections in rural communities in northern Sierra Leone. This is a baseline study to inform Ebola vaccine study protocols. The results are great to present in the manuscript; however, the presentation of the results could be improved to bring clarity to the manuscript. The following are my specific comments:

Abstract section: In the results section of the abstract, the authors could include at least brief results of the lymphatic filariasis and onchocerciasis results.

Response 5

We agree with the reviewer. Within the constraints of word limitation, we have included the following statement in the Results section (lines 58-59) of the abstract

Onchocerca volvulus and Wuchereria bancrofti infections were found in 3.3% and 0.4% of participants respectively.

Comments 6

Results section

- The headings in the results section should be improved to bring understanding to what is being presented. The first item presented is demography stuff so the authors could have a heading like “Demographic characteristics of the study population”. Currently there is no heading for this presentation. Again such headings as “Helminths” does not tell much. It could have been “Helminth infections in the population” etc

It would have been great if the authors present the different parasites differently under different groups. For instance, the presentation could have been done under the following: Soil Transmitted helminths, Schistosomiasis, blood associated parasites (Onchocerciasis and Wuchereria bancrofti). This would have brought clarity to the results.

Response 6

We appreciate the point made by the reviewer. We are however further guided by the “Instructions to Authors” provided by PLOS to keep headings and sub-headings to a minimum.

Taking the reviewer’s suggestions into account and recognizing the limitations imposed by the journal’s requirements, we have revised the manuscript to includes the following sub-headings:

• Soil-transmitted helminths and schistosome infections (line 265)

• Blood associated parasites (O. volvulus and W. bancrofti) (line 292)

We believe this has improved the clarity of presentation of the results.

Comment 7

Under Malaria parasitaemia, the authors could present the co-infection parasites eg how many patients were co-infected with Plasmodium falciparum and P. vivax and all the other coinfections too. The scientific world will be interested to know which parasites infected the people as coinfection.

Response 7

The manuscript has been revised in lines 241-247 to include this information as follows.

A single malaria parasite species was identified in 288 slides, two species were identified in 13 slides (11 involved mixed infections of P. falciparum and P. malariae while two involved mixed infections of P. falciparum and P. ovale) and speciation was not reported for 8 slides.

Comment 8

Also with the helminth infections, the authors do not state which parasites were the co-infections. Such information are important to publish.

Response 8

This information is provided in the manuscript (lines 267-271) as follows

The positive helminth infections comprised 102 (12.5%) cases of hookworm, 11 (1.3%) cases of T. trichiura, 10 (1.2%) cases of S. mansoni and two (0.2%) cases of A. lumbricoides. The three stool samples showing mixed infections were two samples with hookworm and T. trichiura mixed infection, and one with hookworm and schistosomiasis mixed infection (Table 2).

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22 Jun 2022

Prevalence of malaria and helminth infections in rural communities in northern Sierra Leone, a baseline study to inform Ebola vaccine study protocols

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27 Jun 2022

PONE-D-21-38636R1

Prevalence of malaria and helminth infections in rural communities in northern Sierra Leone, a baseline study to inform Ebola vaccine study protocols

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Table 1

Characteristics of participants in the parasitology survey in the Mambolo Chiefdom.

	n/N	Percent (%)
Age group of participants
1–4 years	82/813	10.1%
5–11 years	189/813	23.2%
12–17 years	140/813	17.2%
> = 18 years	402/813	49.4%
Sex
Female	415/815	50.9%
Male	400/815	49.1%
Ethnic group
Themne	772/813	95.0%
Soso	17/813	2.1%
Limba	18/813	2.2%
Others	6/813	0.7%
Occupation
Farmer	205/813	25.2%
Fisherman	63/813	7.7%
Petty trader	40/813	4.9%
Formal employment	37/813	4.5%
Student	468/813	57.6%
Marital status
Single	256/544	47.1%
Married	254/544	46.7%
Divorced/Separated	8/544	1.5%
Widowed	26/544	4.8%
Religion
Christian	17/815	2.1%
Muslim	798/815	97.9%
Area of residence
Riverine	505/815	62.0%
Non-riverine	310/815	38.0%

Table 2

Prevalence of parasitic infections in participants in Mambolo Chiefdom.

	Riverine	Non-riverine	Total
Malaria infection*
P. falciparum	164/488 (33.6%)	123/303 (40.6%)	287/791 (36.3%)
P. malariae	23/488 (4.7%)	6/303 (2.0%)	29/791 (3.7%)
P. ovale	4/488 (0.8%)	3/303 (1.0%)	7/791 (0.9%)
P. vivax	1/488 (0.2%)	0/303 (0.0%)	1/791 (0.1%)
Stool samples for intestinal helminths
Hookworm	28/505 (5.5%)	74/310 (23.9%)	102/815 (12.5%)
A. lumbricoides	2/505 (0.4%)	0/310 (0.0%)	2/815 (0.2%)
T. trichiuria	6/505 (1.2%)	5/310 (1.6%)	11/815 (1.3%)
S. mansoni	9/505 (1.8%)	1/310 (0.3%)	10/815 (1.2%)
Urine for S. heamatobium	0/505 (0.0%)	0/310 (0.0%)	0/815 (0.0%)
Filariae rapid blood tests
O. volvulus†	13/503 (2.6%)	14/309 (4.5%)	27/812 (3.3%)
W. bancrofti†	2/503 (0.4%)	1/309 (0.3%)	3/812 (0.4%)

*†Differences in denominators are due to either incomplete laboratory analyses or non-provision of samples by participants

Table 3

Risk factors for malaria infection among participants in Mambolo Chiefdom.

	Malaria			OR (95% CI)	P value	AOR (95% CI)	P value
	Yes		No
Age group
1–4 years	21 (26.9)		57 (73.1)	0.33 (0.20–0.56)	<0.001	0.35 (0.2–0.62)	<0.001
5–11 years	91 (49.7)		92 (50.3)	1.00 (Ref)		1.00 (Ref)
12–17 years	87 (64.4)		48 (35.6)	1.86 (1.14–3.05)	0.014	1.94 (1.16–3.24)	0.011
> = 18 years	110 (28.0)		283 (72.0)	0.41 (0.28–0.61)	<0.001	0.41 (0.26–0.66)	<0.001
Sex
Female	156 (38.9)		245 (61.1)	1.00 (Ref)		1.00 (Ref)
Male	153 (39.6)		233 (60.4)	1.07 (0.76–1.50)	0.695	1.09 (0.78–1.52)	0.607
Ethnic group
Themne	291 (38.9)		458 (61.1)	1.00 (Ref)
Soso	7 (41.2)		10 (58.8)	1.09 (0.37–3.20)	0.877
Limba	7 (41.2)		10 (58.8)	1.19 (0.53–2.67)	0.679
Occupation
Farmer	62 (30.8)		139(69.2)	1.00(1.00–1.00)
Fisherman	19 (30.2)		44(69.8)	0.95(0.48–1.88)	0.878
Petty trader	11 (28.9)		27(71.1)	1.28(0.61–2.68)	0.51
Formal employment	8 (21.6)		29(78.4)	0.69(0.25–1.92)	0.477
Student	209 (46.4)		241(53.6)	2.02(1.27–3.22)	0.003
Not reported	0 (0.0)		2(100.0)	1.00(1.00–1.00)
Marital status
Single	123 (49.4)		126 (50.6)	1.00 (Ref)
Married	66 (26.7)		181 (73.3)	0.39 (0.23–0.66)	<0.001
Divorced/Separated	1 (12.5)		7 (87.5)	0.03 (0.00–0.25)	0.002
Widowed	7 (26.9)		19 (73.1)	0.32 (0.11–0.93)	0.036
Area of residence
Riverine	180 (36.9)		308 (63.1)	1.00 (Ref)		1.00 (Ref)
Non-riverine	129 (42.6)		174 (57.4)	1.46 (0.93–2.29)	0.098	1.53 (0.94–2.5)	0.089
Slept under ITN last night
Yes		258 (38.3)	416 (61.7)	1.00 (Ref)		1.00 (Ref)
No		51 (43.6)	66 (56.4)	1.27 (0.80–2.01)	0.306	1.63 (0.97–2.76)	0.066
Number of nights that participant slept under ITN over the last 3 days
None	40 (39.6)		61 (60.4)	0.95 (0.53–1.68)	0.847
1 night	3 (25.0)		9 (75.0)	0.71 (0.17–3.00)	0.644
2 nights	13 (35.1)		24 (64.9)	0.65 (0.28–1.49)	0.308
3 nights	253 (39.5)		388 (60.5)	1.00 (Ref)
At least one ITN at home
Yes	183 (37.3)		308 (62.7)	1.00 (Ref)
No	11 (35.5)		20 (64.5)	0.89 (0.40–1.98)	0.771
Enrolled in PREVAC study
Yes	32 (50.0)		32 (50.0)	1.00 (Ref)
No	274 (38.0)		447 (62.0)	0.68 (0.35–1.33)	0.26
Duration since last fever episode Please clarify = 6 months, ≤ or ≥
< 6 months	269 (39.6)		411 (60.4)	1.00 (Ref)
> 6 months	15 (26.3)		42 (73.7)	0.45 (0.22–0.90)	0.025	0.38 (0.18–0.79)	0.01

Table 4

Risk factors for hookworm infection in Mambolo Chiefdom.

	Hookworm		OR (95% CI)	P value	AOR(95% CI)	P value
	Yes	No
Age group
1–4 years	1 (1.2)	81 (98.8)	0.05 (0.01–0.38)	0.004	0.06 (0.01–0.47)	0.008
5–11 years	26 (13.8)	163 (86.2)	1.00 (Ref)		1.00 (Ref)
12–17 years	20 (14.3)	120 (85.7)	1.07 (0.58–1.97)	0.822	0.92 (0.5–1.7)	0.787
> = 18 years	54 (13.4)	348 (86.6)	0.90 (0.48–1.68)	0.732	0.7 (0.36–1.36)	0.295
Sex
Female	38 (9.2)	375 (90.8)	1.00 (Ref)		1.00 (Ref)
Male	64 (16.1)	334 (83.9)	2.23 (1.33–3.73)	0.003	2.01 (1.15–3.50)	0.014
Ethnic group
Themne	93 (12.0)	679 (88.0)	1.00 (Ref)
Soso	3 (17.6)	14 (82.4)	2.31 (0.56–9.55)	0.247	-	-
Limba	5 (27.8)	13 (72.2)	3.70 (1.47–9.32)	0.006
Occupation
Farmer	40(19.5)	165(80.5)	1.00(Ref)
Fisherman	6(9.5)	57(90.5)	0.42(0.17–1.04)	0.061	-	-
Petty trader	0(0.0)	40(100.0)	1.00(1.00–1.00)
Formal employment	3(8.1)	34(91.9)	0.47(0.15–1.45)	0.188
Student	53(11.3)	415(88.7)	0.60(0.34–1.08)	0.089
Not reported	0(0.0)	2(100.0)	1.00(1.00–1.00)
Marital status
Single	37 (14.5)	219 (85.5)	1.00 (Ref)
Married	33 (13.0)	221 (87.0)	0.73 (0.39–1.39)	0.337	-	-
Divorced/ Separated	1 (12.5)	7 (87.5)	1.09 (0.12–9.77)	0.935
Widowed	4 (15.4)	22 (84.6)	0.55 (0.17–1.80)	0.319
Area of residence
Riverine	28 (5.5)	477 (94.5)	1.00 (Ref)		1.00 (Ref)
Non-riverine	74 (23.9)	236 (76.1)	4.14 (2.37–7.22)	<0.001	4.02 (2.32–6.98)	<0.001
Enrolled in PREVAC
Yes	2 (3.1)	63 (96.9)	1.00 (Ref)		-	-
No	100 (13.5)	643 (86.5)	5.18 (1.24–21.71)	0.025
Contact with water from a river/lake/canal/rice field
Not at all	26 (7.3)	330 (92.7)	1.00 (Ref)		1.00 (Ref)
Weekly/ monthly/rarely	50 (14.7)	290 (85.3)	2.49 (1.24–4.97)	0.01	2.03 (1.03–3.99)	0.04
Daily	26 (22.4)	90 (77.6)	4.08 (2.10–7.91)	<0.001	3.34 (1.79–6.23)	<0.001
Last time you took tablet during MDA
Never been given	5 (6.3)	75 (93.8)	0.22 (0.07–0.66)	0.007	0.25 (0.07–0.83)	0.024
< 6 months	60 (13.3)	390 (86.7)	1.00 (Ref)		1.00 (Ref)
6–12 months ago	15 (10.8)	124 (89.2)	0.67 (0.34–1.29)	0.224	0.6 (0.32–1.14)	0.116
> 12months ago	22 (15.2)	123 (84.8)	1.04 (0.60–1.83)	0.882	1.09 (0.56–2.1)	0.800