Sara Marks

Dr. Sara Marks

EAWAG, Dübendorf, Switzerland
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 May 2020 in Nature Microbiology
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Journal Article
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MNMaya L. Nadimpalli
Maya L. Nadimpalli
Sara MarksSara Marks
Sara Marks
MMMaria Camila Montealegre
Maria Camila Montealegre
RGRobert H. Gilman
Robert H. Gilman
MPMonica Pajuelo
Monica Pajuelo
APAmy J. Pickering
Amy J. Pickering

30 April 2012 in Environmental Science & Technology
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Journal Article
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APAmy J. Pickering
Amy J. Pickering
TJTimothy R. Julian
Timothy R. Julian
Sara MarksSara Marks
Sara Marks
MMMia C. Mattioli
Mia C. Mattioli
ABAlexandria B. Boehm
Alexandria B. Boehm
JDJennifer Davis
Jennifer Davis

15 August 2020 in BMC Public Health
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Journal Article
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ASAkina Shrestha
Akina Shrestha
JSJeanne Six
Jeanne Six
DDDikshya Dahal
Dikshya Dahal
Sara MarksSara Marks
Sara Marks
RMRegula Meierhofer
Regula Meierhofer
Background: Providing universal access to safe water, sanitation and hygiene (WASH) in remote Nepal remains challenging. We investigated WASH conditions and their association with children’s nutritional status, intestinal parasitic infections and diarrhoea.Methods: Data was collected through a cross-sectional survey of 1427 households, including questionnaires, observations, stool analysis, anthropometry, water quality measurements, and assessment of clinical signs of nutritional deficiencies.Results: We found 55.5% of children were undernourished, 63.9% had clinical signs of nutritional deficiencies, 51.1% had intestinal parasitic infections and 52.2% had diarrhoea. Multivariate mixed logistic regression analysis revealed a statistically significant negative association between undernutrition and socio-economic level, with adjusted odds ratios (AOR) of 0.70 (95%-CI = 0.43–1.11) and 0.43 (95%-CI = 0.25–0.75) for high and intermediate levels compared to the lowest level. Undernutrition was negatively associated with regular deworming of children (AOR = 0.44, 95% CI = 0.20–0.94), food supplements (AOR = 0.57, 95% CI = 0.38–0.84), household’s own food production (AOR = 0.67, 95% CI = 0.46–0.97) and personal hygiene (AOR = 0.83, 95% CI = 0.51–1.35). Nutritional deficiency was negatively associated with handwashing after cleaning a baby’s bottom (AOR = 0.60, 95% CI = 0.40–0.92) and cleanliness of caregiver’s hands (AOR = 0.61, 95% CI = 0.41–0.89) and positively associated with keeping animals inside the house overnight (AOR = 1.71, 95% CI = 1.17–2.51) and the presence of total coliforms in the drinking water source (AOR = 10.44, 95% CI = 1.61–67.4). Diarrhoea was positively associated with intermittent water supply (AOR = 2.72, 95% CI = 1.18–6.31) and the presence of a mud floor (AOR = 2.29, 95% CI = 1.20–4.37) and negatively associated with cleanliness of the toilet (AOR = 0.68, 95% CI = 0.47–0.98), and the cleanliness of children’s hands (AOR = 0.62, 95% CI = 0.40–0.96).Conclusions: Our study found, more than half of the survey children were in a critical health condition. Results suggest that child health improvements are dependent on multiple public health improvements, including providing better nutrition, promoting adequate hygiene behaviour, such as handwashing, keeping the latrines clean, keeping the household environment free from animal faeces and assuring a reliable supply of safe water.

1 August 2012 in World Development
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Journal Article
Closed access
Sara MarksSara Marks
Sara Marks
JDJennifer Davis
Jennifer Davis

1 July 2018 in International Journal of Hygiene and Environmental Health
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Journal Article
Open access
RPRachel Peletz
Rachel Peletz
JKJoyce Kisiangani
Joyce Kisiangani
MBMateyo Bonham
Mateyo Bonham
PRPatrick Ronoh
Patrick Ronoh
CDCaroline Delaire
Caroline Delaire
RKRanjiv Khush
Ranjiv Khush
Water quality testing is critical for guiding water safety management and ensuring public health. In many settings, however, water suppliers and surveillance agencies do not meet regulatory requirements for testing frequencies. This study examines the conditions that promote successful water quality monitoring in Africa, with the goal of providing evidence for strengthening regulated water quality testing programs. We compared monitoring programs among 26 regulated water suppliers and surveillance agencies across six African countries. These institutions submitted monthly water quality testing results over 18 months. We also collected qualitative data on the conditions that influenced testing performance via approximately 821 h of semi-structured interviews and observations. Based on our qualitative data, we developed the Water Capacity Rating Diagnostic (WaterCaRD) to establish a scoring framework for evaluating the effects of the following conditions on testing performance: accountability, staffing, program structure, finances, and equipment & services. We summarized the qualitative data into case studies for each of the 26 institutions and then used the case studies to score the institutions against the conditions captured in WaterCaRD. Subsequently, we applied fuzzy-set Qualitative Comparative Analysis (fsQCA) to compare these scores against performance outcomes for water quality testing. We defined the performance outcomes as the proportion of testing Targets Achieved (outcome 1) and Testing Consistency (outcome 2) based on the monthly number of microbial water quality tests conducted by each institution. Our analysis identified motivation & leadership, knowledge, staff retention, and transport as institutional conditions that were necessary for achieving monitoring targets. In addition, equipment, procurement, infrastructure, and enforcement contributed to the pathways that resulted in strong monitoring performance. Our identification of institutional commitment, comprising motivation & leadership, knowledge, and staff retention, as a key driver of monitoring performance was not surprising: in weak regulatory environments, individuals and their motivations take-on greater importance in determining institutional and programmatic outcomes. Nevertheless, efforts to build data collection capacity in low-resource settings largely focus on supply-side interventions: the provision of infrastructure, equipment, and training sessions. Our results indicate that these interventions will continue to have limited long-term impacts and sustainability without complementary strategies for motivating or incentivizing water supply and surveillance agency managers to achieve testing goals. More broadly, our research demonstrates both an experimental approach for diagnosing the systems that underlie service provision and an analytical strategy for identifying appropriate interventions.

27 April 2020 in npj Clean Water
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Journal Article
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Sara MarksSara Marks
Sara Marks
GCGuillaume Clair-Caliot
Guillaume Clair-Caliot
LTLina Taing
Lina Taing
JBJames Tayebwa Bamwenda
James Tayebwa Bamwenda
CKChristopher Kanyesigye
Christopher Kanyesigye
GFGiuliana Ferrero
Giuliana Ferrero
Small towns lag behind cities in drinking water and sanitation access globally. Closing this gap requires developing service models for areas with both urban and rural characteristics. This study assessed Bushenyi-Ishaka, a municipality in Uganda situated at the rural–urban transition, with a focus on service ladder indictors. Data sources included household interviews (n = 500) and water quality samples from sources and storage containers. Households in more urban (as compared to rural) cells were more likely to use improved water sources (including piped water on-premises), make regular payments for water, rely on shared sanitation facilities, and make use of manual sludge emptying services. Most households (72%) used an unlined pit latrine not intended for emptying and reuse. These findings suggest that small town servicing models should prioritize non-sewered sanitation management, including incentives for safe excreta containment and disposal opportunities. This study also highlights a need for integrated services models to expand rural–urban water and sanitation coverage.