Skip to main content
Open Forum Infectious Diseases logoLink to Open Forum Infectious Diseases
. 2024 Mar 25;11(Suppl 1):S6–S16. doi: 10.1093/ofid/ofad664

Diarrhea Case Surveillance in the Enterics for Global Health Shigella Surveillance Study: Epidemiologic Methods

Hannah E Atlas 1,#, Bakary Conteh 2,#, Md Taufiqul Islam 3,#, Khuzwayo C Jere 4,5,6,#, Richard Omore 7,#, Doh Sanogo 8,#, Francesca Schiaffino 9,10,#, Mohammad Tahir Yousafzai 11,#, Naveed Ahmed 12, Alex O Awuor 13, Henry Badji 14, Jennifer Cornick 15,16, Erika Feutz 17, Sean R Galagan 18, Fadima C Haidara 19, Bri’Anna Horne 20,21, Md Ismail Hossen 22, Aneeta Hotwani 23, Eric R Houpt 24, Abdoulie F Jallow 25, Mehrab Karim 26, Adama Mamby Keita 27, Youssouf Keita 28, Farhana Khanam 29, Jie Liu 30, Thandizo Malemia 31, Alhagie Manneh 32, Christine J McGrath 33, Dilruba Nasrin 34, Maureen Ndalama 35, John Benjamin Ochieng 36, Billy Ogwel 37, Maribel Paredes Olortegui 38, Loyda Fiorella Zegarra Paredes 39, Tackeshy Pinedo Vasquez 40, James A Platts-Mills 41, Syed Qudrat-E-Khuda 42, Sonia Qureshi 43, Md Nazmul Hasan Rajib 44, Elizabeth T Rogawski McQuade 45, Shazia Sultana 46, Sharon M Tennant 47,48, Kirkby D Tickell 49, Desiree Witte 50,51, Pablo Peñataro Yori 52, Nigel A Cunliffe 53,#, M Jahangir Hossain 54,#, Margaret N Kosek 55,#, Karen L Kotloff 56,57,58,#, Firdausi Qadri 59,#, Farah Naz Qamar 60,#, Milagritos D Tapia 61,62,63,#, Patricia B Pavlinac 64,#,✉,4
PMCID: PMC10962728  PMID: 38532963

Abstract

Background

Shigella is a leading cause of acute watery diarrhea, dysentery, and diarrhea-attributed linear growth faltering, a precursor to stunting and lifelong morbidity. Several promising Shigella vaccines are in development and field efficacy trials will require a consortium of potential vaccine trial sites with up-to-date Shigella diarrhea incidence data.

Methods

The Enterics for Global Health (EFGH) Shigella surveillance study will employ facility-based enrollment of diarrhea cases aged 6–35 months with 3 months of follow-up to establish incidence rates and document clinical, anthropometric, and financial consequences of Shigella diarrhea at 7 country sites (Mali, Kenya, The Gambia, Malawi, Bangladesh, Pakistan, and Peru). Over a 24-month period between 2022 and 2024, the EFGH study aims to enroll 9800 children (1400 per country site) between 6 and 35 months of age who present to local health facilities with diarrhea. Shigella species (spp.) will be identified and serotyped from rectal swabs by conventional microbiologic methods and quantitative polymerase chain reaction. Shigella spp. isolates will undergo serotyping and antimicrobial susceptibility testing. Incorporating population and healthcare utilization estimates from contemporaneous household sampling in the catchment areas of enrollment facilities, we will estimate Shigella diarrhea incidence rates.

Conclusions

This multicountry surveillance network will provide key incidence data needed to design Shigella vaccine trials and strengthen readiness for potential trial implementation. Data collected in EFGH will inform policy makers about the relative importance of this vaccine-preventable disease, accelerating the time to vaccine availability and uptake among children in high-burden settings.

Keywords: children, diarrhea, enterics, Shigella, vaccine


This article describes the epidemiologic methods used in the Enterics for Global Health Shigella surveillance study, a multicountry surveillance network that aims to establish current Shigella diarrhea incidence and consequence estimates and prepare potential clinical trial sites for a phase 3 vaccine trial.


Diarrheal diseases are a leading cause of morbidity and mortality in children <5 years of age with an estimated 500 000 deaths annually, ranking third in the global disability-adjusted life-year burden [1, 2]. The highest burden of diarrheal disease occurs in low- and middle-income countries (LMICs); approximately 20% of deaths among children aged 1–59 months in sub-Saharan Africa and South Asia are attributed to diarrhea [1]. Shigella, a gram-negative bacillus, is a leading cause of acute watery diarrhea and the leading cause of dysentery [3–7], responsible for an estimated 90 000 deaths each year in children <5 years of age [1]. Depending on the severity of diarrhea, the diagnostic test used, and the setting, Shigella-attributed acute diarrhea incidence rates can range from 0.4 to 105 cases per 100 child-years [3, 4, 6, 8].

Consequences of Shigella diarrhea can include intestinal protein loss [9–11], persistent and prolonged diarrhea [12, 13], elevated inflammatory markers associated with environmental enteric dysfunction [14], and, ultimately, linear growth faltering and stunting [15–22]. Shigella-associated linear growth faltering further accounts for an estimated 28% additional deaths beyond those directly attributed to Shigella and more than 2 million cases of moderate to severe stunting each year [23, 24]. In addition to the short- and long-term health consequences, Shigella diarrhea can cause significant financial burden on households and local healthcare systems due to the high cost of hospital admission, treatment and transport costs, and lost wages [25, 26] and is a leading cause of antibiotic use for diarrhea [27].

There are several promising Shigella vaccine candidates under development, including a quadrivalent biconjugate vaccine (Shigella 4V), which is in a phase 1/2 trial among adult and pediatric populations in Kenya [28, 29]. A field efficacy trial in the target population of children aged 6–35 months living in high-burden LMIC settings [30] will be necessary for regulatory approval and adoption of efficacious vaccines by country policy makers. Such trials will require a consortium of LMIC sites in settings with a documented high incidence of Shigella-attributed diarrhea (specifically of vaccine-preventable Shigella serotypes), a demonstrated track record of following Good Clinical Practice standards, high participant retention, and the laboratory capacity to confirm Shigella infection.

Establishing incidence rates of Shigella diarrhea traditionally requires a closed population, such as in a cohort study, with prospective capture of incident diarrheal episodes and fecal testing for Shigella spp. Cohort studies can be expensive and resource intensive. With frequent follow-ups, the disease of interest may be diagnosed and treated earlier than would be expected in a nonresearch setting, altering the disease spectrum toward a milder syndrome and underestimating the severity of the illness. Facility-based surveillance can overcome these limitations of traditional cohort studies. However, doing so requires estimating the size of the underlying population and accounting for children with the disease of interest who fail to present to surveillance facilities. Hybrid surveillance, involving triangulation of facility-based surveillance with population enumeration and healthcare utilization surveys (HUSs) nested within the catchment population of the selected healthcare facility, is an efficient study design for generating credible population-based incidence estimates as demonstrated from other studies [31–33]. Hybrid surveillance has been successfully used to estimate incidence of etiology-specific diarrhea [7, 31] and enteric fever [34–37] in several LMIC settings.

Utilizing a hybrid surveillance approach, the Enterics for Global Health (EFGH) Shigella surveillance study will estimate serotype- and disease severity-specific incidence rates of Shigella diarrhea and document the health and economic consequences of Shigella diarrhea in 7 country sites in Africa, Asia, and South America. Through this multicountry network and associated clinical and laboratory harmonization, selected EFGH sites will be ready to quickly implement rigorous and efficient vaccine trials and contribute critical data to policy makers about the relative importance of this vaccine-preventable disease, thereby accelerating the time to vaccine availability and uptake among children in high-burden settings.

SPECIFIC AIMS

The primary aim of the EFGH study is to determine the incidence of Shigella-attributed medically attended diarrhea (MAD) in children aged 6–35 months in each of the EFGH country sites (Bangladesh, Kenya, Malawi, Mali, Pakistan, Peru, and The Gambia) and by serotype, severity, detection method (culture vs quantitative polymerase chain reaction [qPCR]), age, and season. Secondary aims include the following: to describe the prevalence of resistance to commonly used antibiotics in Shigella spp. isolates in each EFGH country site; to determine the risk of death, hospitalization, persistent diarrhea, diarrhea recurrence, and linear growth faltering associated with an episode of Shigella diarrhea; and to compare various severity definitions in their ability to distinguish Shigella from non-Shigella attributable diarrhea and predict risk of death or hospitalization in the subsequent 3 months. Additional aims quantifying cost and answering laboratory-specific questions are described elsewhere in this supplement [38–40].

METHODS

Study Design

The EFGH study will use a hybrid surveillance design involving facility-based enrollment of diarrhea cases (diarrhea case surveillance) with 3 months of prospective follow-up. Shigella spp. will be identified by microbiologic culture and qPCR testing in rectal swabs collected from children at enrollment [39, 40]. Cross-sectional population enumeration and HUSs with random community-based sampling will be used to estimate the number of children living in facility catchment areas and the healthcare-seeking pattern of children with diarrhea to calculate Shigella diarrhea incidence rates [41].

Diarrhea Case Surveillance Procedures

Study Population

Children aged 6–35 months presenting to selected EFGH study health facilities (Table 1) with diarrhea who are confirmed to reside in the study catchment area, and whose primary caregiver reported the child planned to remain in their current residence for at least the subsequent 4 months, will be eligible for enrollment (Table 2).

Table 1.

Enterics for Global Health Shigella Surveillance Study Recruitment Centers and Regional Partners

Country Site Catchment Area Partners Recruitment Facilities (Study Working Hours)
Bangladesh Dhaka icddr,b icddr,b Dhaka Hospital; EFGH Field Office; Dhaka Medical College and Hospital; Mugda Medical College and Hospital; Sir Salimullah Medical College and Hospital (Sunday–Thursday: 8:30 Am–5 Pm)
Kenya Gem, Karemo, and Asembo, Siaya County KEMRI; UMB Siaya County Referral Hospital; Lwak Mission Hospital; Akala Health Center; Ndienya Health Center; Bar Agulu Health Center; Ongielo Health Centre (Monday–Friday: 8 Am–4 Pm)
Malawi Blantyre City Malawi -Liverpool Wellcome Research Programme; University of Liverpool Ndirande Health Centre (Monday–Friday: 8 Am–4 Pm)
Mali Bamako Centre pour le Développement des Vaccins du Mali; UMB Banconi CSCOM; Asacodjeneka CSCOM; Asacodjip CSCOM; CSREF Commune 1 (Monday–Friday: 8 Am–4 Pm)
Pakistan Karachi The Aga Khan University Ali Akbar Shah VPT Center; Khidmat e Alam Medical Centre; Bhains Colony VPT Center; Abbasi Shaheed Hospital; Sindh Government Hospital; Karongi; Sindh Government Hospital; Ibrahim Hyderi (Monday–Saturday: 9 Am–3 Pm)
Peru Iquitos, Maynas Province Asociación Benéfica PRISMA; University of Virginia Centro de Salud America; Centro de Salud San Juan Bautista; Centro de Salud Santo Tomas; Posta de Salud Progreso; Posta de Salud Modelo (Monday–Saturday: 8 Am–4 Pm)
The Gambia Basse, Upper River Region MRC Unit The Gambia;
UMB
Basse Hospital and Gambisara Health Centre (Monday–Friday: 8 Am–4 Pm)

Abbreviations: CSCOM, Centres de Santé Communautaire; CSREF, Centres de Santé Référence; EFGH, Enterics for Global Health; icddr,b, International Centre for Diarrhoeal Disease Research, Bangladesh; KEMRI, Kenya Medical Research Institute; MRC, Medical Research Council; UMB, University of Maryland, Baltimore.

Table 2.

Inclusion Criteria for Diarrhea Cases

Prescreening Eligibility Screening Eligibility
1. Child is 6–35 mo based on records or caregiver reported age 1. Child is 6–35 mo of age as confirmed by date of birth
2. Child presented during site-specific working hours and is still present at time of interview 2. Primary caregiver and child plan to remain at their current residence for at least the next 4 mo
3. Diarrhea/dysentery/gastroenteritis is one of the complaints of the child 3. Primary caregiver is able to provide informed consent (legal age or emancipated minor) and provides consent within a common language for which translations are available
4. Child not currently enrolled or in active EFGH follow-up 4. Child presents to health facility with diarrhea (≥3 abnormally loose or watery stools in the previous 24 h) with or without the presence of blood
5. Child resides within the predefined study area
6. <4 h has passed since the child presented to a health facility
7. Diarrhea episode is:
  • • Acute (onset within 7 d of study enrollment) and

  • • Represents a new episode (onset after at least 2 diarrhea-free days)

8. Caregiver is willing to have child participate in follow-up visits at week 4 and month 3
9. Willingness to have samples collected from the child (rectal swabs at enrollment)
10. Site enrollment cap has not been met
11. Child is not being referred to a non-EFGH facility at the time of screening

Abbreviation: EFGH, Enterics for Global Health.

Screening

Screening will occur in a 2-step process: first, to define the screened population and to capture information on children who present outside of working hours (pre-screening), and second, to identify eligible children (screening). All children appearing <5 years of age presenting to EFGH recruitment facilities with a complaint of diarrhea will be pre-screened using a standardized prescreening case report form (CRF). Those deemed eligible during pre-screening will be invited to undergo screening consent and, if obtained, move on to screening utilizing a standardized screening CRF. Presentations outside of working hours will be documented utilizing the prescreening CRF in a site-dependent manner, relying on facility registry abstraction or EFGH study-specific logs. Caregivers of children who are eligible after screening will undergo full informed consent. All English-language CRFs and informed consent forms can be found at ClinicalTrials.gov (NCT06047821). More children may be eligible than can be enrolled due to study resource constraints or higher than expected diarrhea presentations. In such situations, a site-specific enrollment cap and sampling strategy will be implemented as described in Table 3. Data from prescreening and screening will inform site-specific estimates of the proportion of children presenting with diarrhea to the EFGH health facility who are not enrolled in EFGH but are otherwise eligible, to derive adjusted incidence estimates.

Table 3.

Enrollment Caps Were Implemented at Some EFGH Sites in Anticipation of the Number of Eligible Children Exceeding the 1400 Total Enrollment to Ensure Relatively Even Recruitment of Cases Over the Full 24 Month Period

Country Sitea Enrollment Cap Type Enrollment Cap Description
Bangladesh Weekly 14 participants per week
Kenya Weekly 18 participants per week
Malawi Daily 4 participants per day on Monday & Tuesday; 3 participants per day Wednesday through Friday
The Gambia Monthly Varied according to high/low diarrhea season
Pakistan Fortnightly 35 participants through Dec 2023, 21 participants January 2024 through end of study

aNo enrollment cap implemented at the Peru and Mali sites.

Informed Consent Process

Informed consent will be obtained from the accompanying caregiver, including an additional provision for the use of de-identified participant data and samples for future studies. Consenting materials will be developed in English and translated to French (Mali site), Spanish (Peru site), Dholuo (Kenya site), Bangla (Bangladesh site), Urdu (Pakistan site), and Chichewa (Malawi site) and administered in the caregiver's language of choice. The signed consent forms will be provided to the caregiver and a copy securely stored in the participant's study file. The informed consent process will follow local institutional and ethical review board standards, including site-specific definitions of caregiver eligibility for consenting on behalf of the child.

Enrollment of Diarrhea Cases

A full medical history, including information about the severity of the current diarrhea episode and comorbidities, will be ascertained through a structured caregiver interview. A detailed physical examination will be conducted by a trained EFGH study member and will include vital sign collection (temperature collected using Exergen TAT-2000 Temporal Artery Professional Thermometer [Exergen Corporation; Watertown, Massachusetts], heart rate, and respiratory rate), World Health Organization (WHO) dehydration assessment [42], and documentation of other signs and symptoms. Where possible, the physical examination will occur as part of acute management. Immunization history will be abstracted from the child's medical record if available, or ascertained by caregiver recall. Breastfeeding history; household water, sanitation, and hygiene conditions and behaviors; and caregiver education will be ascertained through caregiver interview. A standardized country-specific asset index questionnaire [43] will be administered at enrollment and used to construct wealth quintiles. Human immunodeficiency virus (HIV) information, including biological mother status, child HIV exposure and status, and HIV treatment and testing history, will be collected at the Malawi, Kenya, and Mali sites.

Medical Management

The EFGH study teams will integrate with the existing health facility staff to participate in clinical management of the child, with treatment of the sick child taking precedent over study enrollment procedures. Clinical management standards outlined in the 2013 WHO Pocket Book for Hospital Care of Children [44], WHO 2014 Integrated Management for Childhood Illness (IMCI) guidelines [42], and the 2022 WHO Essential Medicines Antibiotic Book [45] are encouraged (Table 4). National or facility-specific guidelines will supersede WHO guidelines if available. All clinical management decisions and treatments administered during the health facility visit and prescribed for the discharge period will be recorded in standardized questionnaires. In cases where EFGH study staff are not solely responsible for the clinical management of EFGH enrolled children, variation from the WHO or national/facility-specific guidelines will be documented. The study will provide basic backup medications and supplies required by treatment standards outlined in the WHO guidelines in the event of a facility or national stockout. Quarterly clinical guideline adherence reports will be provided to each site reporting per-guideline proportions of children who received the guideline-specific treatment per indication, as well as antimicrobial resistance data from Shigella spp. isolates.

Table 4.

World Health Organization (WHO) Diarrhea Management Guidelines for Children ≤5 Yearsa

Dehydration Management (Without Severe Acute Malnutrition) WHO-indicated Treatment
 Severe (Plan C-Facility)
  • Start IV fluid immediately (preferably ringers Lactate Solution [100 ml/kg])

  • Reassess every 15–30 mins

  • Give ORS (5 ml/kg/hr) as soon as the child can drink

  • Re-classify dehydration after 6 h in infant & 3 h in child and continue with A, B, C plan

  • <12 m age—30 ml/kgb in one hour followed by 70 ml/kg over 5 h

  • 12 m to 5 y age—30 ml/kgb in 30 min followed by 70 ml/kg over 2.5 h

 Some (Plan B-Facility)
  • Give recommended ORS in clinic over 4 h

Agec <4 m 4–<12 m 12–<2 y 2 y– ≤ 5 y
  • Re-classify dehydration after 4 h and continue with A, B, C plan

Weight <6 kg 6–<10 kg 10–<12 kg 12–19 kg
200–400 ml 400–700 ml 700–900 ml 900–1400 ml
 None (Plan A-Home) Increase food and fluid intake to prevent dehydration
Dehydration Management (With Severe Acute Malnutrition & No Shock) WHO-indicated Treatment
 Severe (Plan C-Facility)
  • Give ReSoMald (or half-strength standard low ORS with added potassium & glucose) 5 ml/kg every 30 min for the first 2 h

  • 5–10 ml/kg per h for the next 4–10 for the next hours on alternate hours with F75

 Some (Plan B-Facility) Same as above
 None (Plan A-Home) Not applicable (because child admitted)
Zinc WHO-indicated Treatment
 All children Zinc supplementation for 10–14 d
  • ≤6 m 10 mg per day

  • >6 m 20 mg per day

Antibiotics WHO-indicated Treatment
 Dysentery
  • Ciprofloxacin (15 mg/kg) twice daily for 3 d OR based on local sensitivity

  • Azithromycin (10 mg/kg) given once daily for 4 d OR based on local sensitivity

  • IV/IM ceftriaxone at 50–80 mg/kg per day for 3 d (if child is severely ill or as second line treatment)

 Suspected cholera (age ≥2 y + severe dehydration + cholera present in area)
  • Erythromycin (12 mg/kg) four times a day for 3 d

  • Ciprofloxacin 10–20 mg/kg twice per day for 5 d

  • Cotrimoxazole 4 mg/kg trimethoprim & 20 mg/kg sulfamethoxazole twice a day

Abbreviation: F75, full formula name; IM, intramuscular; IV, intravenous; ORS, oral rehydration solution; ReSoMal, rehydration solution for malnutrition; WHO, World Health Organization.

aWorld Health Organization. Pocket book of hospital care for children: guidelines for the management of common illnesses with limited resources. Geneva, Switzerland. WHO 2013; World Health Organization. Chart Booklet: Integrated Management of Childhood Illness. Geneva, Switzerland. WHO 2014; World Health Organization. The WHO Essential Medicines List Antibiotic Book: improving antibiotic AWaReness. Geneva, Switzerland. WHO 2021.

bRepeat if the radial pulse is still very weak or not detectable.

cUse the child's age only when you do not know the weight. The approximate amount of ORS required (in ml) can also be calculated by multiplying the child's weight (in kg) by 75.

dIf rehydration still required at 10 h, give starter F-75 instead of ReSoMal, at the same times.

Daily Record

Children who stay at the health facility overnight will be visited by study staff daily to ascertain changes to the child's condition, including diarrhea severity indicators, as well as to capture medical management decisions and discharge outcome.

Anthropometry

Length (<24 months of age) or height (≥24 months of age), weight, and mid-upper arm circumference (MUAC) will be collected for all participants at the enrollment visit and at each follow-up visit (week 4, month 3). Recumbent length and standing height will be measured to the nearest 0.1 cm using a wooden ShorrBoard® (Weigh and Measure, LLC, Olney, Maryland). Weight (Tanita HD-314 digital scale) and MUAC will be measured prior to, and after, the administration of rehydration fluids (if indicated). Post-rehydration weight and MUAC will be used as the final anthropometric values. Children <24 months of age or those unable to stand on their own will be weighed with their caregiver holding them (combined weight) and the caregiver's weight measured alone will be subtracted from the combined weight, with the difference considered the child's weight. Children ≥24 months of age or those who can stand on their own will stand on the scale alone to measure weight. MUAC will be measured using a 25-cm single-slotted insertion tape to the nearest 0.1 cm (Weigh and Measure, LLC). All anthropometric measurements will be measured twice (with the average of the 2 considered the final value) and repeated a third time if the 2 measurements differ by ≥0.3 cm for MUAC, ≥0.2 kg for weight, and ≥0.5 cm for length/height (in which case, the average of the 3 measurements will be considered the final value). Digital scales will be calibrated on a weekly basis in accordance with a standardized procedure. ShorrBoard® and MUAC tape calibration will be done on an annual basis by the local weights and measures department following local country site guidelines. Any defective equipment will be removed from use and replaced.

A minimum of 1 gold standard measurer will be identified at each country site. Every 6 months, site teams will conduct an anthropometry standardization test. The standardization test includes the gold standard measurer and the EFGH staff team member(s) involved in measuring children enrolled in EFGH. Each person will take 2 independent height/length and MUAC measurements on 6–10 healthy children (nonstudy participants). Each measurer's results will be compared to the gold standard measurer (inter-measurer difference) as well as the repeat measurements by the same measurer (intra-measurer differences). The standardization test results will identify supportive supervision needs and direct refresher training content. Refresher trainings will be conducted every 6 months following study launch and at minimum, 5% of all children will undergo remeasurement by the gold standard measurer for quality control purposes.

Rectal Swab Collection and Processing

Three rectal swabs will be collected from each child at the enrollment visit as close to presentation as possible and prior to administration of antibiotic therapy, if indicated. Participants will be positioned either laying on their side or stomach (on the caregiver's lap) and rectal swabs will be gently inserted into the child's rectum, fully rotated 3 times, and slowly removed. Staff will examine the swab to ensure there is visible fecal material and then place the swab into the respective tube. In the rare scenario in which the participant's caregiver refuses direct rectal swab collection and the participant passes whole stool during the enrollment visit, the 3 rectal swabs will be created from a whole stool sample.

The 3 rectal swabs will be collected using Nylon flocked swabs (Copan Diagnostics). The first swab (FLOQswab™) will be placed in a dry transport tube (2-mL screw top vial compatible with a bead beater) and stored at −80°C for eventual qPCR testing. The remaining 2 swabs will be placed directly in Cary-Blair transport media (swab 2) (FecalSwab, 4C028S) and modified buffered glycerol saline (mBGS) (swab 3) (FecalSwab, mBGS made locally) and cultured for Shigella spp. (Table 5). If <3 swabs are collected, collected swabs will be prioritized in the aforementioned order. After approximately 12 months of recruitment, the order of the swabs collected for Cary-Blair and mBGS swab will be reversed (dry swab, mBGS swab, Cary-Blair swab) in case swab collection order impacts the amount of fecal material on the swab.

Table 5.

Summary of Specimen Collection and Collection Materials in the Enterics for Global Health Study

Study Time Point Specimen Type Purpose Collection Materials Collection Time Point
Year 1 and Year 2 Rectal swab 1 qPCR Copan Diagnostics FLOQSwab Enrollment
Year 1 Rectal swab 2 Shigella culture Copan Diagnostics FecalSwab Cary-Blair Collection and Transport System Enrollment
Year 1 Rectal swab 3 Shigella culture Copan Diagnostics FLOQSwab and locally made modified buffered glycerol saline Enrollment
Year 2 Rectal swab 2 Shigella culture Copan Diagnostics FLOQSwab and locally made modified buffered glycerol saline Enrollment
Year 2 Rectal swab 3 Shigella culture Copan Diagnostics FecalSwab Cary-Blair Collection and Transport System Enrollment
Year 1 and Year 2 Whole stool Backup qPCR, whole stool culture substudy (The Gambia and Bangladesh sites only); inflammatory biomarker substudya (The Gambia, Malawi, Kenya, Peru, Pakistan, Bangladesh sites only) Locally procured stool cups and spatulas Enrollment
Year 1 and Year 2 Dried blood spot Seroepidemiology of age- and site-specific preexisting immunity against Shigella Whatman 903 protein saver card Enrollment, week 4 follow-up

Abbreviation: qPCR, quantitative polymerase chain reaction.

aMyeloperoxidase, calprotectin, lipocalin-2, and hemoglobin.

Quantitative PCR, using the TaqMan Array Card system, will be customized to detect gene targets for >30 enteric pathogens, including Shigella spp. [39]. Shigella spp. will also be isolated, speciated/serotyped, and subject to antimicrobial susceptibility testing (AST) using standard microbiologic methods from rectal swabs 2 and 3 [40].

Whole Stool Collection and Processing

At all EFGH sites, a whole stool sample will be collected if a bowel movement takes place at any point during the enrollment visit prior to the child leaving the facility and stored at −80°C. At The Gambia, Kenya, Malawi, Pakistan, Bangladesh, and Peru sites, if a participant does not produce a whole stool sample during the enrollment visit, the study staff will train the caregiver to collect the first whole stool passed upon returning home in the 24-hour period following enrollment. Aliquots of the whole stool stored at −80°C will be used for backup qPCR testing and tested in an inflammatory biomarker substudy [46]. At The Gambia and Bangladesh sites, a portion of whole stool sample collected at the enrollment visit (not from home visits) will be swabbed and placed in Cary-Blair (Year 1 FecalSwab, Copan Diagnostics, 4C028S) (or mBGS, Year 2) and another portion weighed and stored at −80°C for culturing and qPCR, respectively, as part of a rectal swab–whole stool Shigella comparison substudy [40].

Dried Blood Spot Collection and Processing

Dried blood spots will be collected using a single heel/finger prick at the enrollment and week 4 follow-up visits (Table 5). Less than 0.5 mL of blood will be collected from all enrolled children for a dried blood spot on Whatman® 903 protein saver cards, which will be used for eventual descriptive seroepidemiology of preexisting immunity against Shigella and description of immune responses to infection [47]. Cards will be fully dried at room temperature for a minimum of 2 hours, then placed in a plastic bag and refrigerated at 4°C for long-term storage.

Diarrhea Diary

On the day of enrollment, caregivers will be provided a diarrhea diary that includes visual cues. The diarrhea diary will capture daily information about the diarrhea episode over the 14-day period following enrollment, including diarrhea severity indicators (number of loose or watery stools, vomiting episodes, visible blood in stool, temperature/hot to the touch) and medications. At the enrollment visit, staff will explain the goal of the diary card, how to assess the signs and symptoms, how to complete the diary card, and strategize ways to ensure the diary is completed each day. Caregivers will also be reminded to return the diarrhea diary at their scheduled week 4 study visit or through another retrieval method. Site-specific diarrhea diary contact and collection plans can be found in Table 6 and a copy of the diary on ClinicalTrials.gov (NCT06047821).

Table 6.

Site-Specific Diarrhea Diary Contact and Collection Plans in the Enterics for Global Health Study

Country Site Contact Strategy Collection Strategy
Bangladesh Phone calls every 4 days starting day 1 Returned by the caregiver at the week 4 follow-up visit
Kenya Phone call (or SMS message if no answer) on day 3 Returned by the caregiver at the week 4 follow-up visit or after completion (day 15 onward)
Malawi Home visit on day 1 Collected by study staff from the home within 3 day after completion (starting d 15)
Mali Home visit on day 3 Collected by study staff from the home within 3 day after completion (starting day 15)
Returned by the caregiver at the week 4 follow-up visit (with reminders 1 week and 1 day before the week 4 follow-up visit)
Pakistan Home visits on day 3 and day 10 and phone call reminder on day 2 and day 7 Collected by study staff from the home on day 15 or 16 or returned by the caregiver at the week 4 follow-up visit
Peru Phone call or home visit on day 3 and day 6 Collected by study staff from the home on day 15
The Gambia Phone call on day 5 (±2 days), day 9 (±2 days), and day 15 (+2 days) Returned by the caregiver at the week 4 follow-up visit

Abbreviation: SMS, short messaging service.

Follow-up of Culture-Positive Shigella Cases

Shigella culture and AST results will be communicated to clinical teams as soon as they are available (approximately 3–5 working days [maximum 7 days] after enrollment). If Shigella spp. are isolated, the participant's caregiver will be contacted by the study staff within 24 hours of culture results availability to determine the health status of the child. If the child has not improved or is deteriorating, the caregiver will be encouraged to return to an EFGH facility for further evaluation and possible treatment changes guided by AST results.

Follow-up

Scheduled study follow-up visits will take place 4 weeks (visit window: 24–37 days since enrollment) and 3 months (visit window: 84–97 days postenrollment) from the date of enrollment at an EFGH recruitment facility or the participant's home in settings where returning to health facilities is not feasible. If >30 days pass since the upper limit of the scheduled follow-up visit window (>67 days and >127 days post-enrollment for the week 4 visit and month 3 visits, respectively), the follow-up visit will be considered missed. A participant is considered lost to follow-up if they have missed both the week 4 and month 3 visits.

The participant's general condition will be assessed at the start of each follow-up visit. Using a standardized questionnaire, caregivers will be interviewed about the child's health history since the last study visit and the participant's recovery from the index diarrheal episode, new diarrheal episodes and associated care-seeking behavior, recent hospitalizations, and other illnesses. Information on the cost of the index diarrhea episode, including any medications obtained following the enrollment visit or other indirect costs incurred (transport, household costs, missed income-generative activities) will be documented [38]. Anthropometry (length/height, MUAC, and weight) will be collected. A dried blood spot will be collected at week 4 follow-up visit for seroepidemiology [47].

Unwell children who return to EFGH health facilities outside of regularly scheduled visits (such as due to illness) will complete an unwell child visit. During this visit, the participant's health status will be reassessed and documented by the study clinicians, and treatment and/or additional clinical observation will be provided if indicated.

Cause of Death Ascertainment

For participants who die, site teams will abstract available information from the death certificate. In the absence of a death certificate, the date of death will be collected based on either the participant's medical record (for inpatient deaths), caregiver report, or community knowledge. Study staff will determine whether the caregiver is willing to participate in a voluntary mortality interview. This interview aims to capture events and conditions surrounding the death and is an open-ended interview adapted from the 2016 WHO Verbal Autopsy Instrument [48] administered by a trained staff to the caregiver of the deceased child. If the death occurred in the health facility and no death certificate is available, an International Classification of Diseases, 10th Revision (ICD-10)–trained clinical staff will conduct a brief interview with the clinician who managed the participant. This interview will include documenting all events that lead to the participant's death. The interviewer will assign a preliminary cause of death based on the clinical staff interview and ICD-10 training. The final cause of death will be determined by a mortality review panel of pediatric clinical experts who have trained on the WHO death certification guidance and the International Classification of Diseases, 10th Revision (ICD-10) [49]. This panel will be convened midpoint of the study and at study close. The panel will collate data from deceased participants’ medical records, death certificates, and caregiver interviews, and ICD-10–compliant causes of death will be determined by consensus.

Study Tool Development

Standardized study tools, including the central protocol, CRFs, standard operating procedures (SOPs), study logs, and template consent forms were developed by representatives from across the consortium in working groups organized by domain: diarrhea case surveillance, population enumeration and the HUS, microbiology, and data management. Final CRFs, SOPs, and consent forms for study were translated into local languages and pilot tested with volunteers at each site. Piloted CRFs were scanned and securely shared with the central coordinating team for review, accompanied by written feedback. A structured debrief of piloting activities was conducted in the working group forum.

Training and Standardization

To ensure high-quality data collection and standardization across sites, a 5-day training of trainers (ToT) workshop was held for the diarrhea case surveillance domain. The ToT model [50] was chosen due to efforts to limit gathering size and international travel during the SARS-CoV-2 pandemic and, importantly, to leverage consortium technical expertise, facilitate capacity building and knowledge sharing between site teams, and equip lead trainers with content expertise to conduct site-level trainings. The in-person training employed adult learning principles, didactic training methodologies, and integrated elements of Good Clinical Practice. Training curriculum included best practices of human subjects research, clinical management, specimen collection, anthropometry, and diarrhea case surveillance data collection and systems. A pre- and post-test was administered prior to the start and at the culmination of the training session to evaluate competency. Ahead of the ToT, participants completed an online training module that consisted of 9 pre-recorded video presentations providing a high-level overview of the EFGH study background and rationale and walked through procedures and other critical aspects of the study. Slide decks and Spanish- and French-translated transcriptions were also available. This online module will be available to all EFGH team members and is a requirement for any newly onboarded staff. A separate sitewide training, identical in content, was conducted at the Peru site due to challenges with travel logistics.

After ToTs, trainers developed individual site training plans. Site training activities, staff pre- and post-test comprehension scores, and training evaluations were documented in a standardized report template and reviewed centrally to ensure standardization across sites.

Statistical Analysis

Analytic Methods

The statistical analysis plan for the EFGH study is being developed by a statistical working group comprised of representatives from site and coordination team members of the consortium and will be finalized prior to the end of diarrhea case surveillance enrollment (September 2024). The current version, and its subsequent updates, can be found on ClinicalTrials.gov (NCT06047821). Here, we summarize the statistical analysis methods of the incidence estimation.

The crude incidence of Shigella MAD will be calculated as the sum of total Shigella diarrhea cases (confirmed by either culture or qPCR) divided by the child-years at risk of children 6–35 months of age in the defined catchment area. Adjusted incidence rates of Shigella diarrhea will be calculated by the crude incidence divided by the proportion of otherwise eligible children who were not enrolled in EFGH and the proportion of children aged 6–35 months in the catchment area with diarrhea in the last 2 weeks who sought care at an EFGH facility. At a minimum, the care-seeking proportion will be estimated separately for watery diarrhea and dysentery because of known differences in care-seeking behavior [51]. Differential care-seeking by additional variables such as age, wealth quintile, and other severity characteristics including dehydration status may be accounted for depending on the numbers observed in the HUS and comparability with the enrolled diarrhea cases. Child-years at risk for Shigella diarrhea will be computed as the product of the estimated number of children 6–35 months of age in the catchment area enumerated during population enumeration activities and the facility-specific period of follow-up (approximately 24 months). Incidence rates will be presented for each diagnostic method (culture confirmed and molecularly confirmed).

Shigella diarrhea incidence will also be calculated by species (S. flexneri, S. sonnei, S. dysenteriae, S. boydii) and by S. flexneri serotype/subserotype [52] and by the combined vaccine-preventable serotypes. We will similarly stratify incidence by age at enrollment visit (6–11 months, 12–17 months, 18–23 months, or 24–35 months); by mild, moderate, and severe categories from various diarrhea severity definitions [42, 53–57] and by whether or not a child was hospitalized; by laboratory method (culture or qPCR); and by month to capture seasonality.

Sample Size Calculation for Diarrhea Cases

The minimum number of culture-confirmed Shigella cases (numerator) per site was set at 65 to ensure at least 5 isolates from the 4 leading species/subserotypes (S. sonnei, S. flexneri 2a, S. flexneri 3a, and S. flexneri 6) at each site and to achieve appropriate precision (width less <3%) for a 2-sided 95% confidence interval around the observed proportion of children enrolled with culture-positive Shigella. We assumed that 4.7% of diarrhea cases in EFGH would be Shigella spp. culture positive [58], requiring that we enroll 1400 participants presenting to health facilities with diarrhea over the 24-month period (∼58 participants per month).

Ethical Considerations

Central versions of the EFGH study protocol, consent forms, CRFs, and other study documents were created and subsequently adapted to meet ethical- and institutional review board (IRB)–specific standards. Prior to study initiation, site-specific study materials were approved by the IRBs at each EFGH site and affiliated coordinating body. This study will be conducted according to Good Clinical Practice, including Good Clinical Laboratory Practice, the Declaration of Helsinki, and IRB and local rules and regulations specific to each EFGH country.

STRENGTHS AND LIMITATIONS

EFGH will utilize standardized and rigorous field research and laboratory techniques to measure the incidence and consequences of Shigella in young children living in high-burden settings. With several Global Enteric Multicenter Study (GEMS) [3], GEMS-1A [59], and Vaccine Impact on Diarrhea in Africa (VIDA) [7] sites participating in EFGH and utilizing similar methods, data can provide a 15-year overview of the evolving incidence, etiology, and adverse clinical outcomes of MAD at these sites. However, EFGH has several limitations, including variability in clinical assessments, the dependence on caregiver recall to construct severity definitions, shortcomings of the incidence-rate adjustments versus direct incidence estimation, and the types of cases that facility-based surveillance detects.

A key aim of EFGH is to estimate the incidence of Shigella diarrhea by various severity definitions, which include clinical measures such as dehydration and clinician decision to hospitalize. While clinical assessments will be completed by clinical personnel trained in the EFGH clinical SOPs and trained in WHO IMCI guidelines, inter-observer reliability in the assessment of dehydration can be challenging [60], suggesting there may be over- or underestimation of dehydration within, and between, EFGH sites. Duration of diarrhea, fever, and vomiting are also key components of many severity definitions, and symptoms observed during more recent days will be more accurately recalled by caregivers than those temporally farther from the day of diarrhea presentation, with more severe disease more likely to be recalled [61].

A key assumption of the hybrid surveillance design is that enrolled cases are a representative sample of cases from the underlying population. Meeting this assumption requires that the recruiting EFGH health facilities are those that equitably serve the catchment area population. Care-seeking behavior, including whether or not to seek care and where to seek care, may be affected by perception of the illness, and less significant illnesses may not present to certain types of facilities. Other factors include socioeconomic status, age, and perceived quality of care. Care-seeking adjustments will also be limited by the number of children included in the HUSs, leading to imprecision in adjusted incidence estimates.

EFGH screening and enrollment is limited to working hours, which is more feasible from a cost, staffing, and logistic perspective than undertaking this activity 24 hours a day, 7 days a week. While every effort will be made to ascertain screening data from logs and pre-screening forms, it is possible that some cases are missed. Also, because children presenting outside of working hours will not undergo real-time screening, including a clinical history, as do those who present during working hours, EFGH will not be able to quantify whether severity was similar between those presenting during working hours and those presenting outside. Since presentation to health facilities for care on weekends or evenings is likely the result of major caregiver concern, either because the child is very sick or very young, it could be that those cases presenting outside of working hours have more severe disease or are younger, leading EFGH to underestimate the severity of Shigella diarrhea cases. The range of the extremes (assuming all cases presenting outside of working hours had severe diarrhea or that all had mild diarrhea) will be presented in sensitivity analyses to determine the potential impact of the assumption that cases presenting within working hours were representative of those presenting outside of hours.

Finally, EFGH is enrolling children presenting to health facilities with any severity of diarrhea, rather than a subset of children with more severe diarrhea, to enable an assessment of various definitions of moderate and/or severe presentations of Shigella diarrhea and to estimate the incidence of all medically attended Shigella diarrhea. However, this decision comes at the cost of potentially having less power to detect important consequences of Shigella, such as linear growth faltering, diarrhea recurrence, and/or death, all of which are more common in children with more severe diarrhea.

CONCLUSIONS

Ensuring the success of eventual Shigella vaccine field efficacy trials and promoting uptake and adoption of newly licensed Shigella vaccines by policy makers will require recent, country-specific data on the burden of Shigella diarrhea as well as the health and economic consequences of this important disease. The EFGH consortium will provide updated estimates of the incidence and consequences of culture- and molecularly confirmed medically attended Shigella diarrhea in young children living in high-burden settings where Shigella vaccines are likely to have the greatest impact on child health.

Contributor Information

Hannah E Atlas, Department of Global Health, University of Washington, Seattle, Washington, USA.

Bakary Conteh, Medical Research Council Unit The Gambia, London School of Hygiene and Tropical Medicine, Fajara, The Gambia.

Md Taufiqul Islam, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.

Khuzwayo C Jere, Malawi Liverpool Wellcome Programme, Blantyre, Malawi; Department of Clinical Infection, Microbiology and Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom; Department of Medical Laboratory Sciences, Kamuzu University of Health Sciences, School of Life Sciences and Health Professions, Blantyre, Malawi.

Richard Omore, Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.

Doh Sanogo, Centre pour le Développement des Vaccins du Mali, Bamako, Mali.

Francesca Schiaffino, Faculty of Veterinary Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru; Division of Infectious Diseases and International Health University of Virginia, School of Medicine, Charlottesville, Virginia, USA.

Mohammad Tahir Yousafzai, Department of Pediatrics and Child Health, The Aga Khan University, Karachi, Pakistan.

Naveed Ahmed, Department of Pediatrics and Child Health, The Aga Khan University, Karachi, Pakistan.

Alex O Awuor, Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.

Henry Badji, Medical Research Council Unit The Gambia, London School of Hygiene and Tropical Medicine, Fajara, The Gambia.

Jennifer Cornick, Malawi Liverpool Wellcome Programme, Blantyre, Malawi; Department of Clinical Infection, Microbiology and Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.

Erika Feutz, Department of Global Health, University of Washington, Seattle, Washington, USA.

Sean R Galagan, Department of Global Health, University of Washington, Seattle, Washington, USA.

Fadima C Haidara, Centre pour le Développement des Vaccins du Mali, Bamako, Mali.

Bri’Anna Horne, Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA; Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Md Ismail Hossen, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.

Aneeta Hotwani, Department of Pediatrics and Child Health, The Aga Khan University, Karachi, Pakistan.

Eric R Houpt, Division of Infectious Diseases and International Health University of Virginia, School of Medicine, Charlottesville, Virginia, USA.

Abdoulie F Jallow, Medical Research Council Unit The Gambia, London School of Hygiene and Tropical Medicine, Fajara, The Gambia.

Mehrab Karim, Medical Research Council Unit The Gambia, London School of Hygiene and Tropical Medicine, Fajara, The Gambia.

Adama Mamby Keita, Centre pour le Développement des Vaccins du Mali, Bamako, Mali.

Youssouf Keita, Centre pour le Développement des Vaccins du Mali, Bamako, Mali.

Farhana Khanam, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.

Jie Liu, School of Public Health, Qingdao University, Qingdao, China.

Thandizo Malemia, Malawi Liverpool Wellcome Programme, Blantyre, Malawi.

Alhagie Manneh, Medical Research Council Unit The Gambia, London School of Hygiene and Tropical Medicine, Fajara, The Gambia.

Christine J McGrath, Department of Global Health, University of Washington, Seattle, Washington, USA.

Dilruba Nasrin, Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Maureen Ndalama, Malawi Liverpool Wellcome Programme, Blantyre, Malawi.

John Benjamin Ochieng, Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.

Billy Ogwel, Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.

Maribel Paredes Olortegui, Asociación Benéfica PRISMA, Iquitos, Loreto, Peru.

Loyda Fiorella Zegarra Paredes, Asociación Benéfica PRISMA, Iquitos, Loreto, Peru.

Tackeshy Pinedo Vasquez, Asociación Benéfica PRISMA, Iquitos, Loreto, Peru.

James A Platts-Mills, Division of Infectious Diseases and International Health University of Virginia, School of Medicine, Charlottesville, Virginia, USA.

Syed Qudrat-E-Khuda, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.

Sonia Qureshi, Department of Pediatrics and Child Health, The Aga Khan University, Karachi, Pakistan.

Md Nazmul Hasan Rajib, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.

Elizabeth T Rogawski McQuade, Department of Epidemiology, Emory University, Atlanta, Georgia, USA.

Shazia Sultana, Department of Pediatrics and Child Health, The Aga Khan University, Karachi, Pakistan.

Sharon M Tennant, Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA; Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Kirkby D Tickell, Department of Global Health, University of Washington, Seattle, Washington, USA.

Desiree Witte, Malawi Liverpool Wellcome Programme, Blantyre, Malawi; Department of Clinical Infection, Microbiology and Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.

Pablo Peñataro Yori, Division of Infectious Diseases and International Health University of Virginia, School of Medicine, Charlottesville, Virginia, USA.

Nigel A Cunliffe, Department of Clinical Infection, Microbiology and Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.

M Jahangir Hossain, Medical Research Council Unit The Gambia, London School of Hygiene and Tropical Medicine, Fajara, The Gambia.

Margaret N Kosek, Division of Infectious Diseases and International Health University of Virginia, School of Medicine, Charlottesville, Virginia, USA.

Karen L Kotloff, Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA; Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA; Department of Pediatrics, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Firdausi Qadri, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.

Farah Naz Qamar, Department of Pediatrics and Child Health, The Aga Khan University, Karachi, Pakistan.

Milagritos D Tapia, Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA; Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA; Department of Pediatrics, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Patricia B Pavlinac, Department of Global Health, University of Washington, Seattle, Washington, USA.

Notes

Author contributions. H. E. A., B. c., M. T. I., K. C. J., R. O., D. S., F. S., M. T. Y., N. A. C., M. J. H., M. N. K., K. L. K., F. Q., F. N. Q., M. D. T., and P. B. P. actively participated in monthly working group meetings during which the conceptualization and outline was discussed and agreed-upon. H. E. A., B. c., M. T. I., K. C. J., R. O., D. S., F. S., and M. T. Y. (with review, scientific input, and editing from N. A. C., M. J. H., M. N. K., K. L. K., F. Q., F. N. Q., M. D. T., and P. B. P.) wrote the first draft of the manuscript. N. A., A. O. A., H. B., J. C., E. F., S. R. G., B. H., M. I. H., A. H., E. H., A. F. J., M. K., A. M. K., Y. K., F. K., J. L., T. M., A. M., C. J. M., D. N., M. N., J. B. O., B. O., M. P. O., L. F. Z., T. P. V., J. P. M., S. Q., M. N. H. R., E. T. R. M., S. S., S. T., K. D. T., D. W., and P. P. Y. reviewed and edited the manuscript. All authors approved the content of the final manuscript.

Acknowledgments. We are very grateful for the partnerships that make this work possible, including ministries of health, health facilities, and community partners, all of whom have worked tirelessly to support planning for the implementation and eventual launch of the EFGH study. The EFGH study staff from each of the study sites and coordinating institutions have worked together diligently, mostly remotely due to COVID-19–related travel restrictions, to identify scientific aims, develop study procedures, and participate in training activities with mutual respect and absolute collaboration. We thank Anya Lewin for her project management support of this supplement. Most importantly, we would like to thank the eventual study participants and their families for taking part in this research study.

Disclaimer. The views expressed are those of the author(s) and not necessarily those of the National Institute for Health and Care Research (NIHR), the Department of Health and Social Care, the UK government, or the UK Health Security Agency.

Supplement sponsorship. This article appears as part of the supplement “Enterics for Global Health (EFGH) Shigella Surveillance Study-Rationale and Methods,” sponsored by the Bill & Melinda Gates Foundation.

Financial support. This project is supported by the Bill & Melinda Gates Foundation (grant numbers INV-016650, INV-031791, INV-036891, INV-036892, INV-028721, INV-041730, INV-044311, and INV-044317) and the National Institutes of Health (grant numbers D43TW010913 to M. N. K. and M. P. O. and K43TW012298 to F. S.). The Gambia team's work is also supported by the United Kingdom Research and Innovation Medical Research Council (program number MC_UU_00031/1–Disease Control and Elimination). N. A. C. is an NIHR Senior Investigator (NIHR203756). N. A. C., J. C., and K. C. J. are affiliated with the NIHR Global Health Research Group on Gastrointestinal Infections at the University of Liverpool and the NIHR Health Protection Research Unit in Gastrointestinal Infections at the University of Liverpool, a partnership with the UK Health Security Agency in collaboration with the University of Warwick.

References

  • 1. Global Burden of Disease Network . Global Burden of Disease Study 2019 (GBD 2019) results. 2019. Available at: https://vizhub.healthdata.org/gbd-results/. Accessed 6 June 2023.
  • 2. Perin  J, Mulick  A, Yeung  D, et al.  Global, regional, and national causes of under-5 mortality in 2000–19: an updated systematic analysis with implications for the Sustainable Development Goals. Lancet Child Adolesc Health  2022; 6:106–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Kotloff  KL, Nataro  JP, Blackwelder  WC, et al.  Burden and aetiology of diarrhoeal disease in infants and young children in developing countries (the Global Enteric Multicenter Study, GEMS): a prospective, case-control study. Lancet  2013; 382:209–22. [DOI] [PubMed] [Google Scholar]
  • 4. Liu  J, Platts-Mills  JA, Juma  J, et al.  Use of quantitative molecular diagnostic methods to identify causes of diarrhoea in children: a reanalysis of the GEMS case-control study. Lancet  2016; 388:1291–301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Tickell  KD, Brander  RL, Atlas  HE, Pernica  JM, Walson  JL, Pavlinac  PB. Identification and management of Shigella infection in children with diarrhoea: a systematic review and meta-analysis. Lancet Glob Health  2017; 5:e1235–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Platts-Mills  JA, Liu  J, Rogawski  ET, et al.  Use of quantitative molecular diagnostic methods to assess the aetiology, burden, and clinical characteristics of diarrhoea in children in low-resource settings: a reanalysis of the MAL-ED cohort study. Lancet Glob Health  2018; 6:e1309–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Buchwald  AG, Verani  JR, Keita  AM, et al.  Etiology, presentation, and risk factors for diarrheal syndromes in 3 sub-Saharan African countries after the introduction of rotavirus vaccines from the Vaccine Impact on Diarrhea in Africa (VIDA) study. Clin Infect Dis  2023; 76(Suppl 1):S12–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Rogawski McQuade  ET, Shaheen  F, Kabir  F, et al.  Epidemiology of Shigella infections and diarrhea in the first two years of life using culture-independent diagnostics in 8 low-resource settings. PLoS Negl Trop Dis  2020; 14:e0008536. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Black  RE, Levine  M. Intestinal protein loss in shigellosis. Nutr Res  1991; 11:1215–20. [Google Scholar]
  • 10. Bennish  ML, Salam  MA, Wahed  MA. Enteric protein loss during shigellosis. Am J Gastroenterol  1993; 88:53–7. [PubMed] [Google Scholar]
  • 11. Alam  AN, Sarker  SA, Wahed  MA, Khatun  M, Rahaman  MM. Enteric protein loss and intestinal permeability changes in children during acute shigellosis and after recovery: effect of zinc supplementation. Gut  1994; 35:1707–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Ahmed  F, Ansaruzzaman  M, Haque  E, Rao  MR, Clemens  JD. Epidemiology of postshigellosis persistent diarrhea in young children. Pediatr Infect Dis J  2001; 20:525–30. [DOI] [PubMed] [Google Scholar]
  • 13. Platts-Mills  JA, Gratz  J, Mduma  E, et al.  Association between stool enteropathogen quantity and disease in Tanzanian children using TaqMan array cards: a nested case-control study. Am J Trop Med Hyg  2014; 90:133–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Rogawski McQuade  ET, Platts-Mills  JA, Gratz  J, et al.  Impact of water quality, sanitation, handwashing, and nutritional interventions on enteric infections in rural Zimbabwe: the Sanitation Hygiene Infant Nutrition Efficacy (SHINE) trial. J Infect Dis  2020; 221:1379–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Black  RE, Brown  KH, Becker  S, Alim  AR, Huq  E. Longitudinal studies of infectious diseases and physical growth of children in rural Bangladesh. Am J Epidemiol  1982; 115:315–24. [DOI] [PubMed] [Google Scholar]
  • 16. Black  RE, Brown  KH, Becker  S, Alim  AR, Huq  I. Longitudinal studies of infectious diseases and physical growth of children in rural Bangladesh. II. Incidence of diarrhea and association with known pathogens. Am J Epidemiol  1982; 115:314–24. [DOI] [PubMed] [Google Scholar]
  • 17. Lee  G, Paredes Olortegui  M, Penataro Yori  P, et al.  Effects of Shigella-, Campylobacter- and ETEC-associated diarrhea on childhood growth. Pediatr Infect Dis J  2014; 33:1004–9. [DOI] [PubMed] [Google Scholar]
  • 18. Schnee  AE, Haque  R, Taniuchi  M, et al.  Identification of etiology-specific diarrhea associated with linear growth faltering in Bangladeshi infants. Am J Epidemiol  2018; 187:2210–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Donowitz  JR, Drew  J, Taniuchi  M, et al.  Diarrheal pathogens associated with growth and neurodevelopment. Clin Infect Dis  2021; 73:e683–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Nasrin  D, Blackwelder  WC, Sommerfelt  H, et al.  Pathogens associated with linear growth faltering in children with diarrhea and impact of antibiotic treatment: the Global Enteric Multicenter Study. J Infect Dis  2021; 224(12 Suppl 2):S848–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Rogawski McQuade  ET, Scharf  RJ, Svensen  E, et al.  Impact of Shigella infections and inflammation early in life on child growth and school-aged cognitive outcomes: findings from three birth cohorts over eight years. PLoS Negl Trop Dis  2022; 16:e0010722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Libby  TE, Delawalla  MLM, Al-Shimari  F, MacLennan  CA, Vannice  KS, Pavlinac  PB. Consequences of Shigella infection in young children: a systematic review. Int J Infect Dis  2023; 129:78–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Anderson  JD, Bagamian  KH, Muhib  F, et al.  Burden of enterotoxigenic Escherichia coli and Shigella non-fatal diarrhoeal infections in 79 low-income and lower middle-income countries: a modelling analysis. Lancet Glob Health  2019; 7:e321–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Bagamian  KH, Anderson  J, Muhib  F, et al.  Heterogeneity in enterotoxigenic Escherichia coli and Shigella infections in children under 5 years of age from 11 African countries: a subnational approach quantifying risk, mortality, morbidity, and stunting. Lancet Glob Health  2020; 8:e101–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Riewpaiboon  A, Youngkong  S, Sreshthaputra  N, et al.  A cost function analysis of shigellosis in Thailand. Value Health  2008; 11(Suppl 1):S75–83. [DOI] [PubMed] [Google Scholar]
  • 26. Das  J, Das  SK, Ahmed  S, et al.  Determinants of percent expenditure of household income due to childhood diarrhoea in rural Bangladesh. Epidemiol Infect  2015; 143:2700–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Lewnard  JA, Rogawski McQuade  ET, Platts-Mills  JA, Kotloff  KL, Laxminarayan  R. Incidence and etiology of clinically-attended, antibiotic-treated diarrhea among children under five years of age in low- and middle-income countries: evidence from the Global Enteric Multicenter Study. PLoS Negl Trop Dis  2020; 14:e0008520. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Barry  E, Cassels  F, Riddle  M, Walker  R, Wierzba  T. Vaccines against Shigella and enterotoxigenic Escherichia coli: a summary of the 2018 VASE conference. Vaccine  2019; 37:4768–74. [DOI] [PubMed] [Google Scholar]
  • 29. ClinicalTrials.gov . A study to determine if a new Shigella vaccine is safe, induces immunity and the best dose among Kenyan infants. Available at: https://clinicaltrials.gov/ct2/show/NCT04056117. Accessed 6 April 2023.
  • 30. World Health Organization (WHO) . WHO preferred product characteristics for vaccines against Shigella. Geneva, Switzerland: WHO; 2021. [Google Scholar]
  • 31. Kotloff  KL, Blackwelder  WC, Nasrin  D, et al.  The Global Enteric Multicenter Study (GEMS) of diarrheal disease in infants and young children in developing countries: epidemiologic and clinical methods of the case/control study. Clin Infect Dis  2012; 55(Suppl 4):S232–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Luby  SP, Saha  S, Andrews  JR. Towards sustainable public health surveillance for enteric fever. Vaccine  2015; 33(Suppl 3):C3–7. [DOI] [PubMed] [Google Scholar]
  • 33. Andrews  JR, Barkume  C, Yu  AT, et al.  Integrating facility-based surveillance with healthcare utilization surveys to estimate enteric fever incidence: methods and challenges. J Infect Dis  2018; 218(Suppl 4):S268–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Andrews  JR, Vaidya  K, Saha  S, et al.  Healthcare utilization patterns for acute febrile illness in Bangladesh, Nepal, and Pakistan: results from the Surveillance for Enteric Fever in Asia project. Clin Infect Dis  2020; 71(Suppl 3):S248–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Raju  R, Kezia Angelin  J, Karthikeyan  AS, et al.  Healthcare utilization survey in the hybrid model of the Surveillance for Enteric Fever in India (SEFI) study: processes, monitoring, results, and challenges. J Infect Dis  2021; 224(Suppl 5):S529–39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. von Kalckreuth  V, Konings  F, Aaby  P, et al.  The Typhoid Fever Surveillance in Africa Program (TSAP): clinical, diagnostic, and epidemiological methodologies. Clin Infect Dis  2016; 62(Suppl 1):S9–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Darton  TC, Meiring  JE, Tonks  S, et al.  The STRATAA study protocol: a programme to assess the burden of enteric fever in Bangladesh, Malawi and Nepal using prospective population census, passive surveillance, serological studies and healthcare utilisation surveys. BMJ Open  2017; 7:e016283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Morozoff  C, Ahmed  N, Chinkhumba  J, et al.  Quantifying the cost of Shigella diarrhea in the Enterics for Global Health (EFGH) Shigella surveillance study. Open Forum Infect Dis  2024; 11(Suppl 1):S41–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Liu  J, Garcia Bardales  PF, Islam  K, et al.  Shigella detection and molecular serotyping with a customized TaqMan array card in the Enterics for Global Health (EFGH): Shigella surveillance study. Open Forum Infect Dis  2024; 11(Suppl 1):S34–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Horne  B, Badji  H, Bhuiyan  TR, et al.  Microbiological methods used in the Enterics for Global Health Shigella surveillance study. Open Forum Infect Dis  2024; 11(Suppl 1):S25–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Dodd  R, Awuor  AO, Garcia_Bardales  PF, et al.  Population enumeration and household utilization survey methods in the Enterics for Global Health (EFGH): Shigella surveillance study. Open Forum Infect Dis  2024; 11(Suppl 1):S17–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. World Health Organization (WHO) . Integrated management of childhood illness (IMCI). Geneva, Switzerland: WHO; 2014.
  • 43. Chakraborty  NM, Fry  K, Behl  R, Longfield  K. Simplified asset indices to measure wealth and equity in health programs: a reliability and validity analysis using survey data from 16 countries. Glob Health Sci Pract  2016; 4:141–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. World Health Organization (WHO) . Pocket book of hospital care for children: guidelines for the management of common childhood illnesses. 2nd ed. Geneva, Switzerland: WHO; 2013. [PubMed] [Google Scholar]
  • 45. World Health Organization (WHO) . The WHO essential medicines list antibiotic book: improving antibiotic awareness. Geneva, Switzerland: WHO;  2021. [Google Scholar]
  • 46. Babb  C, Badji  H, Bhuiyan  TR, et al.  Evaluation of fecal inflammatory biomarkers to identify bacterial diarrhea episodes: systematic review and protocol for the Enterics for Global Health Shigella surveillance study. Open Forum Infect Dis  2024; 11(Suppl 1):S65–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Benedicto-Matambo  P, Avolio  LA, Badji  H, et al.  Exploring natural immune responses to Shigella exposure using multiplex bead assays on dried blood spots in high-burden countries: protocol from a multisite diarrhea surveillance study.. Open Forum Infect Dis  2024; 11(Suppl 1):S58–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. World Health Organization (WHO) . Verbal autopsy standards: the 2016 WHO verbal autopsy instrument. Geneva, Switzerland: WHO;  2016. [Google Scholar]
  • 49. World Health Organization (WHO) . International Statistical Classification of Diseases and Related Health Problems (ICD). 2022. Available at: https://www.who.int/standards/classifications/classification-of-diseases. Accessed 6 April 2023.
  • 50. Centers for Disease Control and Prevention. Understanding the training of trainers model. Available at: https://www.cdc.gov/healthyschools/tths/train_trainers_model.htm. Accessed 6 April 2023.
  • 51. Nasrin  D, Wu  Y, Blackwelder  WC, et al.  Health care seeking for childhood diarrhea in developing countries: evidence from seven sites in Africa and Asia. Am J Trop Med Hyg  2013; 89(1 Suppl):3–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Livio  S, Strockbine  NA, Panchalingam  S, et al.  Shigella isolates from the Global Enteric Multicenter Study inform vaccine development. Clin Infect Dis  2014; 59:933–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Clark  HF, Horian  FE, Bell  LM, Modesto  K, Gouvea  V, Plotkin  SA. Protective effect of WC3 vaccine against rotavirus diarrhea in infants during a predominantly serotype 1 rotavirus season. J Infect Dis  1988; 158:570–87. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Zaman  K, Anh  DD, Victor  JC, et al.  Efficacy of pentavalent rotavirus vaccine against severe rotavirus gastroenteritis in infants in developing countries in Asia: a randomised, double-blind, placebo-controlled trial. Lancet  2010; 376:615–23. [DOI] [PubMed] [Google Scholar]
  • 55. Lee  G, Peñataro Yori  P, Paredes Olortegui  M, et al.  An instrument for the assessment of diarrhoeal severity based on a longitudinal community-based study. BMJ Open  2014; 4:e004816. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Lee  GO, Richard  SA, Kang  G, et al.  A comparison of diarrheal severity scores in the MAL-ED multisite community-based cohort study. J Pediatr Gastroenterol Nutr  2016; 63:466–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Pavlinac  PB, Platts-Mills  JA, Tickell  KD, et al.  The clinical presentation of culture-positive and culture-negative, quantitative polymerase chain reaction (qPCR)-attributable shigellosis in the Global Enteric Multicenter Study and derivation of a Shigella severity score: implications for pediatric Shigella vaccine trials. Clin Infect Dis  2021; 73:e569–79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Kotloff  KL, Nasrin  D, Blackwelder  WC, et al.  The incidence, aetiology, and adverse clinical consequences of less severe diarrhoeal episodes among infants and children residing in low-income and middle-income countries: a 12-month case-control study as a follow-on to the Global Enteric Multicenter Study (GEMS). Lancet Glob Health  2019; 7:e568–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Levine  MM, Nasrin  D, Acacio  S, et al.  Diarrhoeal disease and subsequent risk of death in infants and children residing in low-income and middle-income countries: analysis of the GEMS case-control study and 12-month GEMS-1A follow-on study. Lancet Glob Health  2020; 8:e204–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Kinlin  LM, Freedman  SB. Evaluation of a clinical dehydration scale in children requiring intravenous rehydration. Pediatrics  2012; 129:e1211–9. [DOI] [PubMed] [Google Scholar]
  • 61. Feikin  DR, Audi  A, Olack  B, et al.  Evaluation of the optimal recall period for disease symptoms in home-based morbidity surveillance in rural and urban Kenya. Int J Epidemiol  2010; 39:450–8. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Open Forum Infectious Diseases are provided here courtesy of Oxford University Press

RESOURCES