Although studies have explored the link between seasonal change in water sources and health, there is limited evidence on the psycho-emotional impact of seasonal shifts in primary water sources, particularly in a country with two different ecological zones. The primary water source for each participating household was categorized by season, and overall changes in water sources and seasonality were explored using Fisher's exact test and Pearson chi-square test. Regarding seasonal changes, 90.3% of the study participants use safely managed water sources across the seasons. Only 7.4% (45) of households switched from safely managed water sources in the dry season to limited sources in the wet season. Similarly, 2% (12) of participants switched from safely managed water sources in the dry season to unimproved water sources in the wet season. The Chi-square test indicates a significant association between emotional distress and the type of water source used in the dry (χ2 = 35.6, df = 3, p = 0.00) and wet (χ2 = 37.8, df = 3, p = 0.00) seasons. Future interventions that aim to increase access to and use of safe drinking water must consider seasonality and climate change and develop infrastructure accordingly.

  • Seasonality is an essential determinant of water access.

  • Seasonality results in changes in water sources, with poor households disproportionately impacted.

  • Households use safer drinking water sources in the dry season than in the wet season.

  • Seasonality and changes in water sources in tandem result in emotional distress for water-insecure households.

Despite the significant progress Ghana has made in improving access to safe drinking water, a substantial portion of the population, particularly the urban poor and those in rural areas, still rely on unsafe water sources for their daily needs (Yengoh et al. 2010; Armah et al. 2018; GSS 2019). The Ghana Living Statistical Survey (GLSS) reveals alarming statistics, with 48.3 and 76.1% of Ghanaians consuming Escherichia coli-contaminated water at the point of collection and use, respectively (GSS 2019). The health implications are dire, with waterborne diseases such as diarrhea and respiratory infections often leading to death (Bain et al. n.d.; Kostyla et al. 2015; Williams et al. 2015; Prüss-Ustün et al. 2019; Kangmennaang et al. 2020). Globally, in 2015, over 1.7 million deaths and 95 million disability-adjusted life years (DALYs) were attributed to consuming water from unsafe sources (Forouzanfar et al. 2016). In the same year in Ghana, the fatalities and DALYs resulting from unsafe drinking water sources were 7,300 and 435,500, respectively, with children under 5 years disproportionately affected (Forouzanfar et al. 2016). The urgency to address this crisis is evident, as the availability of quality drinking water is crucial in reducing exposure to waterborne diseases and their associated complications – notably mobility and mortality.

Aside from factors such as water governance and availability of water infrastructure affecting water accessibility, in recent years, the lack of maintenance (Majuru et al. 2012, 2016), inadequate supply (Akudago et al. 2009), and seasonality (Ouyang et al. 2006; Kelly et al. 2018; Dongzagla et al. 2021) have been highlighted as essential determinants of water accessibility. For instance, water sources vary across seasons; consequently, most households harmoniously change their water sources to align with the available sources. These changes in water sources are mainly caused by seasonal changes in natural processes (e.g., rainfall patterns and hydrological changes). The water sources in the different seasons are associated with specific health outcomes and play an essential role in the seasonal variations in the burden of diseases, notably diarrhea (GBD 2019 Diseases and Injuries Collaborators, 2020). For instance, the wet season is reportedly accompanied by increased water-related diseases due to various water sources polluted with toxic chemicals, heavy metals, and pesticides from runoffs (Pearson 2004; Ouyang et al. 2006; Pearson & Muchunguzi 2011). The lack of access to water in the dry season is linked to poor health outcomes due to the lack of sanitation and hygiene-related activities such as handwashing and bathing (Pearson et al. 2016). In addition, the lack of water access in the dry season results in households, particularly women, walking long distances in search of water, which is associated with musculoskeletal diseases (Adams et al. 2020).

Previous literature in other contexts indicates that the contamination risk depends on the water source (Nguyen et al. 2014; Kostyla et al. 2015; Kelly et al. 2018; Ibrahim et al. 2021; Nguyen et al. 2021). These studies highlight the link between seasonality and change in water sources and their associated health outcomes, invariably signifying the fundamental role of quality drinking water sources in promoting human health and well-being. Although studies have explored the link between seasonal change in water sources and biophysical health, there is limited evidence on the psycho-emotional impact of seasonal shifts in primary water sources, particularly in a country with two different ecological zones.

Using the JMP classifications below and building on previous studies, the aim of the current study is twofold. First, explore the impact of seasonality on change in water sources using two different ecological zones in Ghana–Accra and Tamale, classified as tropical and arid ecological zones, respectively. Second, examine the impact of changes in water sources on households' emotional distress.

The data were obtained from a cross-sectional study conducted in Ghana to examine water sources in two different ecological zones and how these sources differed across the two seasons (wet and dry seasons). Data were collected from October to November 2022. We recruited participants from three different water-insecure neighborhoods in Accra and Tamale respectively. Men and women responsible for water collection within the households were recruited for the study, albeit more females (709) than males (483). This was expected since women in Ghana are primarily responsible for water collection within the household. The sampling was conducted using a two-step technique. In step 1, the primary sampling unit was randomly selected from a sample frame with a list of cities and enumeration zones. For step 2, a methodical approach called simple random sampling was employed to choose our second set of sampling units, houses, that struggle with water insecurity from each selected enumeration zone. The selected neighborhoods included Chorkor, Jamestown, KorleGono Lamashegu, Kukui, and Vitting in Accra and Tamale. A random number generator was used to select a beginning point, with every fifth house afterward. Cochran's formula (Cochran 1977) was used to estimate the sample size. The calculations returned a smaller size of about 320 participants. However, the number was increased to ensure proper representation.

The surveys were conducted in person using a questionnaire. The questionnaire captured questions relating to the primary drinking water source in the dry and wet seasons. Specifically, participants were asked to indicate what water source they use in the wet versus dry season, which were regrouped using the JMP classifications (Table 1). The water sources were classified into four instead of five because households did not indicate surface water use. This might be the case because our study settings were urban. Other questions captured by the questionnaire include distance to a drinking water source, the emotional impact of the lack of access to water, and some demographics, including age, gender, occupation, and income. Enumerators were trained on the ethical ways of collecting data. Participants were called for clarification when necessary. The Queens University ethics board provided ethical clearance for the study (GREB ref#: GSKHS-340-20; TRAQ#: 6028559).

Table 1

JMP classification of water sources

IndicatorDefinition
Safely managed Improved drinking water source located on-premises, available when needed, and free from fecal contamination (e.g., piped water, boreholes or tubewells, protected dug wells, protected springs, household connections, public standpipes) 
Basic Improved drinking water source, with collection time for a roundtrip, including queuing not more than 30 min (e.g., rivers, streams, lakes, reservoirs, springs, and ground water) 
Limited Improved drinking water source with collection time for a roundtrip, including queuing more than 30 min (e.g., piped water, tube well, borehole, protected spring or protected well, rainwater, tanker truck, cart with small tank, or bottled water) 
Unimproved Drinking water from an unprotected dug well or unprotected spring 
Surface water Drinking water directly from a river, dam, lake, pond, stream, canal, or irrigation canal 
IndicatorDefinition
Safely managed Improved drinking water source located on-premises, available when needed, and free from fecal contamination (e.g., piped water, boreholes or tubewells, protected dug wells, protected springs, household connections, public standpipes) 
Basic Improved drinking water source, with collection time for a roundtrip, including queuing not more than 30 min (e.g., rivers, streams, lakes, reservoirs, springs, and ground water) 
Limited Improved drinking water source with collection time for a roundtrip, including queuing more than 30 min (e.g., piped water, tube well, borehole, protected spring or protected well, rainwater, tanker truck, cart with small tank, or bottled water) 
Unimproved Drinking water from an unprotected dug well or unprotected spring 
Surface water Drinking water directly from a river, dam, lake, pond, stream, canal, or irrigation canal 

JMP classifications

The Joint Monitoring Programme for Water Supply, Sanitation, and Hygiene (JMP) ladder, used as a benchmark to compare service levels across countries, classified water sources into five categories, including safely managed, basic, limited, unimproved, and surface water (UNICEF/WHO 2021). The definitions of these terms are provided in Table 1.

Measures

Emotional distress

Emotional distress was assessed using the HWISE (Young et al. 2019) by asking participants to identify the frequency of their feelings of worry, anger, or ashamed over the absence of access to safe water, as measured in prior studies (Wutich & Ragsdale 2008; Tsai et al. 2016). The level of worry, anger, and shame was assessed by inquiring about the frequency with which participants experienced concerns regarding insufficient water for their domestic requirements within the previous month. The questions were assessed using a five-point Likert scale ranging from 1 (never) to 5 (always). The responses were dichotomized into emotional distress (1) and no emotional distress (2). An individual is considered to have experienced the event (emotional distress) if their combined score is low.

Primary water source

The participants were asked to specify their primary source of drinking water, using the commonly utilized water sources identified by the Demographic and health survey (DHS) and Ghana Statistical Service (GHS; ICF International, 2015; GSS 2019). Furthermore, the participants were requested to specify the distance, which refers to the duration required to go to and from the water source, encompassing any waiting time in the queue. Subsequently, the data were utilized to classify the water sources into four categories: safely managed, basic, limited, and unimproved sources, as per the JMP WHO/UNICEF water ladder (WHO/UNICEF 2015).

Additional variables

Household demographic characteristics such as age, gender, employment status, marital status, level of education, and household size were considered. I hypothesized that the size of a home, for example, directly influences the quantity of water required, subsequently affecting emotions. The additional demographic variables were added based on their documented influence on water access and emotional distress, as evidenced by studies conducted by Wutich (2009) and Bisung & Elliott (2017).

Data analysis

Data analyses were conducted using Statistical Package for Social Sciences (SPSS version 27). Participants were asked to indicate their primary water source in dry and wet seasons. Seasonality differs between Accra and Tamale; the wet season in Accra spans from March to November, and the rest of the months are considered the dry season. On the other hand, Tamale experiences its wet season from April to mid-October, with the rest of the months considered dry season. Primary water sources for each participating household were categorized by season, and overall changes in water sources and seasonality were explored. Further, changes in water sources were examined for Accra and Tamale, respectively, given the differences in seasonality in the two cities. Using the JMP classifications, color codes indicate the risky nature of the water source, with green, blue, yellow, and red, indicating safely managed, primary, limited, and unimproved sources, respectively. In addition, the emotional distress associated with the different water sources was examined. Significance levels were set at alpha 0.05 and determined using Fisher's exact and Pearson chi-square tests. Fisher's exact test was used to test associations for tables (i.e., 3–5) where more than 20% of the cells have frequencies of less than 5.

Table 2 presents the descriptive statistics. The majority of the study participants in Tamale uses safely managed (low-risk) water sources in both dry (70.8%) and wet (68.3%) seasons (Figures 1 and 2). The opposite was observed in Accra, where 82.0% acquired water from unimproved (high-risk) sources in the dry season and 88.7% in the wet season (Figures 1 and 2). Females used more of all the water sources in both seasons compared to their male counterparts. The descriptive statistics also indicate that those employed acquired water from both safely managed and unimproved sources in both wet and dry seasons compared to the unemployed in both cities. Households in the low-income bracket turn to acquire more safe water in the dry season (63.0%) than in the wet season (61.4%). Similarly, married people acquired more water safely managed water across the dry (62.6%) and wet seasons (62.1%) than their single counterparts. The remainder of the descriptive statistics is displayed in Table 2.
Table 2

Characteristics of primary water source across seasons

 
 
Figure 1

Household water sources used in the dry season.

Figure 1

Household water sources used in the dry season.

Close modal
Figure 2

Household water sources used in the wet season.

Figure 2

Household water sources used in the wet season.

Close modal

Seasonal change in water sources

Table 3 presents changes in water sources across dry and wet seasons. The water source type change evaluation indicates that more households use safely managed water sources in the dry season compared to the wet season. Regarding seasonal changes, 90.3% of the study participants maintained safely managed water sources across the seasons. Only 7.4% (45) of households switched from safely managed water sources in the dry season to limited sources in the wet season. Similarly, 2% (12) of participants switched from safely managed water sources in the dry season to unimproved water sources in the wet season. A total of 6.8% (35) of households also switched from unimproved sources in the dry season to low-risk sources (safely managed) in the wet season, while 87% (446) households maintained high-risk sources (unimproved sources) in both the dry and wet seasons (Table 3).

Table 3

Changes in water sources across seasons

 
 

Tables 4 and 5 display seasonal changes in water sources varied by city. In Accra, 163 households, representing 93%, maintained the same low-risk water source across the seasons compared to 88% (367) households in Tamale. In Accra, 1 and 8% of households switched from safely managed water sources in the dry season to limited and unimproved water sources in the wet season. The switch in Tamale from safely managed to limited and unimproved are 8 and 2%, respectively. In Accra, 4% switched from basic to limited sources from the dry to wet seasons. More households in Tamale (75%) maintained the same limited water sources across the seasons than those in Accra (46%). More households in Tamale switched from unimproved sources in the dry season to other sources, including safely managed water sources (20%) and limited water sources (27%) in the wet season than their counterparts in Accra. In Accra, most (95%) households maintained unimproved (high-risk) water sources across the two seasons.

Table 4

Comparison of seasonality and water source change in Tamale

 
 
Table 5

Comparison of seasonality and water source change in Accra

 
 

Table 6 displays an association between household water sources in the dry and wet seasons and their respective levels of emotional distress using Pearson chi-square. From the results, of the 191 households reported as not experiencing emotional distress, 67% have access to safely managed water sources in both the dry and wet seasons. Conversely, 46% of households using safely managed sources reported experiencing emotional distress in the dry seasons compared to the rest. Similar results were reported in the wet season, albeit with few changes. These associations were measured using the Chi-square significance test. The Chi-square test indicates a significant association between emotional distress and the type of water source used in the dry season (). Similarly, there is a significant association between observed emotional distress and the water sources used in the wet season (χ2 = 39.5, df = 3, p = 0.00), with more households using other than safely managed water sources experiencing higher emotional distress.

Table 6

Seasonal changes, water sources, and psycho-emotional distress

 
 

The current study explored the impact of seasonal changes on water usage in two different ecological zones in Ghana and their differential implications for emotional distress. The study found that seasonality is associated with changes in water sources. Households in Tamale use safely managed water sources in the dry season. The opposite is experienced in Accra. This is probably because water sources, including basic, limited, and unimproved, unavailable in the dry season become readily available in the wet season in Tamale. For instance, surface and groundwater (high-risk water sources) are abundant in the wet season. Thus, households use these water sources because of their availability. Our findings align with previous studies (Edokpayi et al. 2018; Nguyen et al. 2021). For instance, a study in South Africa by Edokpayi et al. indicates that bacterial levels in surface water are higher in the wet season compared to the dry season. By using the same data, Nguyen et al. reported that, albeit minimal, households switch to high-risk sources, such as surface water in the wet season, from low-risk sources in the dry season. Similarly, a study by Kumpel et al. (2017) in Nigeria indicates that water source contamination by thermotolerant coliforms increased by 21% from dry to wet seasons. Water-related effects such as diarrheal diseases are also reduced in the dry season, and the plausible explanation for this is the increased use of quality water, such as borehole water acquired from nearby communities.

The study reported a variation in water sources between the different ecological zones (Accra and Tamale) in both dry and wet seasons. The switch from improved water sources in the dry season to other water sources (e.g., limited and unimproved) in the wet season is higher in Tamale compared to Accra. A possible explanation for this finding is the climate. Tamale is a temperate area with a long dry season spanning November to June. Studies have established a link between high temperature and unsafe drinking water sources. For instance, the multisite study by Buchwald et al. (2022) reported that low rainfall or high temperatures decreased the availability and use of basic drinking water sources. Furthermore, compared to Accra, households in Tamale have limited water sources and thus rely on unimproved water sources such as limited sources (e.g., dug wells) in the wet season. These open sources are associated with significant contaminants, including human and animal waste (Penakalapati et al. 2017; Kelly et al. 2018; Phan & Nguyen 2018). On the other hand, given the socioeconomic make-up of Accra, in instances where piped water is unavailable, most people rely on sachet water as their primary drinking water source.

The most important finding of this study is the link between seasonal changes and water-related emotional distress. Households reported significant water-related emotional distress in both wet and dry seasons. These findings are concomitant to findings reported by other studies, including Akinyemi et al. (2022), who found that irrespective of seasonal variations, there is an association between seasonality and experiences of water-related emotional distress. It was found that 4.0% of households experienced emotional distress while accessing water during the rainy season, while 8.1% experienced the same during the dry season. Our finding can be attributable to the overall water insecurity. Ghana is currently battling with issues of water insecurity. In fact, recent data show that over 60% of Ghanaians are battling with water insecurity at the household level (UNICEF Ghana 2023). This lack of access to water at the household level is reportedly associated with psycho-emotional distress (Wutich & Ragsdale 2008; Stevenson et al. 2012; Workman & Ureksoy 2017; Slekiene & Mosler 2019), psycho-social distress (Gaber et al. 2021), and mental health (Kimutai et al. 2023; Toivettula et al. 2023).

The current study also found an association between the sociodemographic characteristics of households and the type of water source used. The study found that (i) women use more improved water sources than their male counterparts. This finding might be linked to the sociocultural roles of women in Ghana. In addition to their responsibilities, women within the study settings serve as informal caregivers for the sick in the household. Thus, women are mindful of the quality of water they supply to their households as they care about the well-being of the household members. This invariably results in unintended consequences as women also tend to experience more emotional distress compared to their male counterparts. (ii) Overall, high-income households use more improved water sources. Households with high incomes mostly have pipes in their households. When pipe water is unavailable, they can easily acquire water from other safely managed sources (Oskam et al. 2021).

Limitations

Although the current study has made significant contributions to the water insecurity literature, including providing evidence on how seasonal differences from extreme weather events affect water access, there are a few limitations worth highlighting. The study used cross-sectional data, which is thus associated with cross-sectional data limitations such as the inability to establish causation. Second, the study examined short-term emotional distress caused by water insecurity. Future studies can explore long-term water-related emotional distress and seasonality. There is also the possibility of recall bias. Participants are likely to remember their water sources of the season in which the data were being collected than those of the past season. This might result in misclassifications of the water sources. Finally, the study was conducted in an urban setting; future studies should explore the rural area.

This is one of the first papers to examine the psycho-emotional impact of seasonal changes in water sources. Understanding the impact of seasonal changes in water access and its associated psychological impact is imperative to address water insecurity. The study established associations between seasonality and water insecurity due to changes in water sources, which have significant implications for emotional distress among inhabitants of the study sites. The study also reported differences in seasonality, water sources, and emotional distress between Tamale and Accra, which are attributable to geographic and sociocultural practices. Thus, instead of one-size-fit interventions currently being instituted, water-related interventions should consider these factors (i.e., geography, topography, culture). Each region in Ghana should be allowed to plan, institute, and execute water-related interventions that meet the needs of its locality while conforming to the general country-level plans of the Ghana Water Company Limited (GWCL).

Infrastructure development, policy reforms, technological advances, and community engagement are needed to address seasonal water access unpredictability. Installing rainwater harvesting systems, water storage facilities, and effective irrigation are vital interventions. These strategies save water during wet seasons for dry seasons. Integrated Water Resources Management (IWRM) and tiered water pricing can also promote water sustainability. Smart water management systems and weather forecasting technologies optimize water distribution and predict shortages and surpluses, enabling proactive planning. Implementing these interventions requires sector- and region-wide coordination, finance, stakeholder engagement, and local communities. Adaptive management and regular monitoring and review keep initiatives effective. A solid legislative framework that encourages water conservation is crucial. In addition, fostering community involvement through educational initiatives and establishing local water management committees can strengthen resilience and guarantee long-term access to water resources (World Bank 2019).

In addition to infrastructural investments, the government of Ghana, through the GWCL, can reduce water-related emotional distress by improving reliability, implementing emergency supply plans, and engaging communities with public awareness campaigns and feedback mechanisms to build trust. These activities tend to reduce water-related anxiety and stress. Beyond this, economic and social support systems like inexpensive water tariffs and alternative livelihood programs such as cash incentives for the poor can reduce both financial and emotional distress.

Climate change is predicted to worsen the seasonal variations in water supply and access by intensifying the occurrence and intensity of droughts and floods, changing rainfall patterns, and accelerating the melting of glaciers. This will reduce water availability during dry seasons (UN Water 2020). The impacts of seasonality, coupled with the consequences of climate change (Javan et al. 2023), will devastate public and population health through water insecurity in the coming years. Although the dry season is associated with safe drinking water sources, these safe sources also result in adverse health outcomes as households are forced to walk long distances to get safe water (Sukri et al. 2023). Walking long distances, for instance, is linked to musculoskeletal health problems. Thus, achieving sustainable development goal 6, which seeks to achieve clean water and sanitation for all, will require investing in seasonal and climate change-related initiatives. Seasonality and climate change should not be tackled in silos, given their combined effect on water access (DeNicola et al. 2015; Gosling & Arnell 2016). Future interventions that aim to increase access to and use of safe drinking water must consider seasonality and climate change and develop infrastructure accordingly. Implementing proactive steps, such as constructing state-of-the-art water storage facilities, adopting IWRM strategies, and utilizing efficient irrigation systems, is essential for reducing the effects of these impacts (IPCC 2018).

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

Adams
E. A.
,
Stoler
J.
&
Adams
Y.
2020
Water insecurity and urban poverty in the Global South: Implications for health and human biology
.
American Journal of Human Biology
32
(
1
),
1
12
.
https://doi.org/10.1002/ajhb.23368
.
Akudago
J. A.
,
Chegbeleh
L. P.
,
Nishigaki
M.
,
Nanedo
N. A.
,
Ewusi
A.
&
Kankam-yeboah
K.
2009
Borehole drying: A review of the situation in the voltaian hydrogeological system in Ghana
.
Journal of Water Resource and Protection
01
(
03
),
153
163
.
https://doi.org/10.4236/jwarp.2009.13020
.
Armah
F. A.
,
Ekumah
B.
,
Yawson
D. O.
,
Odoi
J. O.
,
Afitiri
A.-R.
&
Nyieku
F. E.
2018
Access to improved water and sanitation in sub-Saharan Africa in a quarter century
.
Heliyon
4
(
11
),
e00931
.
https://doi.org/10.1016/j.heliyon.2018.e00931
.
Bain
R.
,
Cronk
R.
,
Wright
J.
,
Yang
H.
,
Slaymaker
T.
&
Bartram
J.
2014
Fecal contamination of drinking-water in low- and middle-income countries: a systematic review and meta-analysis
.
PLoS medicine
11
(
5
),
e1001644
.
https://doi.org/10.1371/journal.pmed.1001644
.
Bisung
E.
&
Elliott
S. J.
2017
Psychosocial impacts of the lack of access to water and sanitation in low- and middle-income countries: a scoping review
.
Journal of water and health
15
(
1
),
17
30
.
https://doi.org/10.2166/wh.2016.158.
Buchwald
A. G.
,
Thomas
E.
,
Karnauskas
K. B.
,
Grover
E.
,
Kotloff
K.
&
Carlton
E. J.
2022
The association between rainfall, temperature, and reported drinking water source: A multi-country analysis
.
GeoHealth
6
(
11
),
e2022GH000605
.
https://doi.org/10.1029/2022GH000605
.
Cochran
W. G.
1977
Sampling Techniques
, 3rd edn.
John Wiley & Sons
,
New York
.
DeNicola
E.
,
Aburizaiza
O. S.
,
Siddique
A.
,
Khwaja
H.
&
Carpenter
D. O.
2015
Climate change and water scarcity: The case of Saudi Arabia
.
Annals of Global Health
81
(
3
),
342
353
.
https://doi.org/10.1016/j.aogh.2015.08.005
.
Dongzagla
A.
,
Jewitt
S.
&
O'Hara
S.
2021
Seasonality in faecal contamination of drinking water sources in the Jirapa and Kassena-Nankana municipalities of Ghana
.
Science of the Total Environment
752
,
141846
.
https://doi.org/10.1016/j.scitotenv.2020.141846
.
Edokpayi
J. N.
,
Rogawski
E. T.
,
Kahler
D. M.
,
Hill
C. L.
,
Reynolds
C.
,
Nyathi
E.
,
Smith
J. A.
,
Odiyo
J. O.
,
Samie
A.
,
Bessong
P.
&
Dillingham
R.
2018
Challenges to sustainable safe drinking water: A case study of water quality and use across seasons in rural communities in Limpopo Province, South Africa
.
Water
10
(
2
),
159
.
https://doi.org/10.3390/w10020159
.
Forouzanfar
M. H.
,
Afshin
A.
,
Alexander
L. T.
,
Biryukov
S.
,
Brauer
M.
,
Cercy
K.
,
Charlson
F. J.
,
Cohen
A. J.
,
Dandona
L.
,
Estep
K.
,
Ferrari
A. J.
,
Frostad
J. J.
,
Fullman
N.
,
Godwin
W. W.
,
Griswold
M.
,
Hay
S. I.
,
Kyu
H. H.
,
Larson
H. J.
,
Lim
S. S.
&
… Zhu
J.
2016
Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: A systematic analysis for the Global Burden of Disease Study 2015
.
The Lancet
388
(
10053
),
1659
1724
.
https://doi.org/10.1016/S0140-6736(16)31679-8
.
Gaber
N.
,
Silva
A.
,
Lewis-Patrick
M.
,
Kutil
E.
,
Taylor
D.
&
Bouier
R.
2021
Water insecurity and psychosocial distress: Case study of the Detroit water shutoffs
.
Journal of Public Health (Oxford, England)
43
(
4
),
839
845
.
https://doi.org/10.1093/pubmed/fdaa157
.
GBD
2019
Diseases and Injuries Collaborators 2020 Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019
.
Lancet (London, England)
396
(
10258
),
1204
1222
.
https://doi.org/10.1016/S0140-6736(20)30925-9.
Gosling
S. N.
&
Arnell
N. W.
2016
A global assessment of the impact of climate change on water scarcity
.
Climatic Change
134
,
371
385
.
https://doi.org/10.1007/s10584-013-0853-x
.
GSS
2019
Ghana Living Standards Survey Round 7 (GLSS7), Main Report
.
Ghana Statistical Service
, pp.
1
343
.
Ibrahim
A. S.
,
Memon
F. A.
&
Butler
D.
2021
Seasonal variation of rainy and dry season per capita water consumption in Freetown city sierra Leone
.
Water (Switzerland)
13
(
4
).
https://doi.org/10.3390/w13040499
.
IPCC
2018
Special Report on Global Warming of 1.5°C
.
Available from: https://www.ipcc.ch/sr15/.
Javan
K.
,
Mirabi
M.
&
Hamidi
S. A.
2023
Enhancing environmental sustainability in a critical region: climate change impacts on agriculture and tourism
.
Civil Engineering Journal
9
(
11
). https://doi.org/10.28991/CEJ-2023-09-11-01.
Kangmennaang
J.
,
Bisung
E.
&
Elliott
S. J.
2020
'We Are Drinking Diseases': Perception of Water Insecurity and Emotional Distress in Urban Slums in Accra, Ghana
.
International journal of environmental research and public health
17
(
3
),
890
.
https://doi.org/10.3390/ijerph17030890.
Kelly
E.
,
Shields
K. F.
,
Cronk
R.
,
Lee
K.
,
Behnke
N.
,
Klug
T.
&
Bartram
J.
2018
Seasonality, water use and community management of water systems in rural settings: Qualitative evidence from Ghana, Kenya, and Zambia
.
The Science of the total environment
628-629
,
715
721
.
https://doi.org/10.1016/j.scitotenv.2018.02.045.
Kimutai
J. J.
,
Lund
C.
,
Moturi
W. N.
,
Shewangizaw
S.
,
Feyasa
M.
&
Hanlon
C.
2023
Evidence on the links between water insecurity, inadequate sanitation and mental health: A systematic review and meta-analysis
.
PLoS one
18
(
5
),
e0286146
.
https://doi.org/10.1371/journal.pone.0286146
.
Kostyla
C.
,
Bain
R.
,
Cronk
R.
&
Bartram
J.
2015
Seasonal variation of fecal contamination in drinking water sources in developing countries: a systematic review
.
The Science of the total environment
514
,
333
343
.
https://doi.org/10.1016/j.scitotenv.2015.01.018
.
Kumpel
E.
,
Cock-Esteb
A.
,
Duret
M.
,
de Waal
D.
&
Khush
R.
2017
Seasonal variation in drinking and domestic water sources and quality in Port Harcourt, Nigeria
.
The American Journal of Tropical Medicine and Hygiene
96
(
2
),
437
445
.
https://doi.org/10.4269/ajtmh.16-0175
.
Majuru
B.
,
Jagals
P.
&
Hunter
P. R.
2012
Assessing rural small community water supply in Limpopo, South Africa: water service benchmarks and reliability
.
The Science of the total environment
435-436
,
479
486
.
https://doi.org/10.1016/j.scitotenv.2012.07.024.
Majuru
B.
,
Suhrcke
M.
&
Hunter
P. R.
2016
How do households respond to unreliable water supplies? A systematic review
.
International Journal of Environmental Research and Public Health.
https://doi.org/10.3390/ijerph13121222
.
Nguyen
V. D.
,
Sreenivasan
N.
,
Lam
E.
,
Ayers
T.
,
Kargbo
D.
,
Dafae
F.
,
Jambai
A.
,
Alemu
W.
,
Kamara
A.
,
Islam
M. S.
,
Stroika
S.
,
Bopp
C.
,
Quick
R.
,
Mintz
E. D.
&
Brunkard
J. M.
2014
Cholera epidemic associated with consumption of unsafe drinking water and street-vended water--Eastern Freetown, Sierra Leone, 2012
.
The American journal of tropical medicine and hygiene
90
(
3
),
518
523
.
https://doi.org/10.4269/ajtmh.13-0567
.
Nguyen
K. H.
,
Operario
D. J.
,
Nyathi
M. E.
,
Hill
C. L.
,
Smith
J. A.
,
Guerrant
R. L.
,
Samie
A.
,
Dillingham
R. A.
,
Bessong
P. O.
&
Rogawski McQuade
E. T.
2021
Seasonality of drinking water sources and the impact of drinking water source on enteric infections among children in Limpopo, South Africa
.
International journal of hygiene and environmental health
231
,
113640
.
https://doi.org/10.1016/j.ijheh.2020.113640
.
Oskam
M. J.
,
Pavlova
M.
,
Hongoro
C.
&
Groot
W.
2021
Socio-Economic inequalities in access to drinking water among inhabitants of informal settlements in South Africa
.
International Journal of Environmental Research and Public Health
18
(
19
),
10528
.
https://doi.org/10.3390/ijerph181910528
.
Ouyang
Y.
,
Nkedi-Kizza
P.
,
Wu
Q. T.
,
Shinde
D.
&
Huang
C. H.
2006
Assessment of seasonal variations in surface water quality
.
Water Research
40
(
20
),
3800
3810
.
https://doi.org/10.1016/j.watres.2006.08.030
.
Pearson
M. L.
2004
Guideline for hand hygiene in healthcare settings
.
Journal of the American College of Surgeons
.
https://doi.org/10.1016/j.jamcollsurg.2003.08.016
.
Pearson
A. L.
&
Muchunguzi
C.
2011
Contextualizing privatization and conservation in the history of resource management in southwestern Uganda: Ethnicity, political privilege, and resource access over time
.
International Journal of African Historical Studies
44
(
1
),
1
27
.
Pearson, A. L., Zwickle, A., Namanya, J., Rzotkiewicz, A. & Mwita, E.
2016
Seasonal shifts in primary water source type: a comparison of largely pastoral communities in Uganda and Tanzania
.
International journal of environmental research and public health
13
(
2
),
169
.
Penakalapati
G.
,
Swarthout
J.
,
Delahoy
M. J.
,
McAliley
L.
,
Wodnik
B.
,
Levy
K.
&
Freeman
M. C.
2017
Exposure to animal feces and human health: A systematic review and proposed research priorities
.
Environmental Science & Technology
51
(
20
),
11537
11552
.
https://doi.org/10.1021/acs.est.7b02811
.
Phan
K.
&
Nguyen
T. G.
2018
Groundwater quality and human health risk assessment related to groundwater consumption in an Giang province, Viet Nam
.
Journal of Vietnamese Environment
10
(
2
),
85
91
.
DOI: 10.13141/jve.vol10.no2.pp85-91
.
Prüss-Ustün
A.
,
Wolf
J.
,
Bartram
J.
,
Clasen
T.
,
Cumming
O.
,
Freeman
M. C.
,
Gordon
B.
,
Hunter
P. R.
,
Medlicott
K.
&
Johnston
R.
2019
Burden of disease from inadequate water, sanitation and hygiene for selected adverse health outcomes: An updated analysis with a focus on low- and middle-income countries
.
International Journal of Hygiene and Environmental Health
222
(
5
),
765
777
.
https://doi.org/10.1016/j.ijheh.2019.05.004
.
Slekiene
J.
&
Mosler
H.-J.
2019
The link between mental health and safe drinking water behaviors in a vulnerable population in rural Malawi
.
BMC Psychology.
7
(
1
),
1
14
.
PMC free article] [PubMed] [Google Scholar]
.
Stevenson
E. G.
,
Greene
L. E.
,
Maes
K. C.
,
Ambelu
A.
,
Tesfaye
Y. A.
,
Rheingans
R.
&
Hadley
C.
2012
Water insecurity in 3 dimensions: an anthropological perspective on water and women's psychosocial distress in Ethiopia
.
Social science & medicine
(1982)
75
(
2
),
392
400
.
https://doi.org/10.1016/j.socscimed.2012.03.022
.
Sukri
A. S.
,
Saripuddin
M.
,
Karama
R.
,
Talanipa
N. R.
,
Kadir
A.
&
Aswad
N. H.
2023
Utilization management to ensure clean water sources in coastal areas
.
Journal of Human Earth and Future
4
(
1
),
23
35
.
https://doi.org/10.28991/HEF-2023-04-01-03.
Tsai
K. M.
,
Gonzales
N. A.
&
Fuligni
A. J.
2016
Mexican American adolescents’ emotional support to the family in response to parental stress
.
Journal of Research on Adolescence: The Official Journal of the Society for Research on Adolescence
26
(
4
),
658
672
.
https://doi.org/10.1111/jora.12216
.
Toivettula
A.
,
Varis
O.
,
Vahala
R.
&
Juvakoski
A.
2023
Making waves: Mental health impacts of inadequate drinking water services – From sidenote to research focus
.
Water Research
243
,
120335
.
https://doi.org/10.1016/j.watres.2023.120335
.
UNICEF Ghana
2023
Water, Sanitation, and Hygiene
. .
UNICEF/WHO
2021
Progress on Household Drinking Water
.
World Health Organization, Geneva
, pp.
1
4
.
Williams, A. R., Bain, R. E. S., Fisher, M. B, Cronk, R, Kelly, E. R. & Bartram, J.
2015
A Systematic Review and Meta-Analysis of Fecal Contamination and Inadequate Treatment of Packaged Water
.
PLoS ONE
10 (10), e0140899.
https://doi.org/10.1371/journal.pone.0140899
.
Workman
C. L.
&
Ureksoy
H.
2017
Water insecurity in a syndemic context: Understanding the psycho-emotional stress of water insecurity in Lesotho, Africa
.
Social Science & Medicine (1982)
179
,
52
60
.
https://doi.org/10.1016/j.socscimed.2017.02.026
.
World Bank
2019
Community-Driven Development
.
WHO/UNICEF (World Health Organ./United Nations Child. Fund) 2015 Progress on Sanitation and Drinking Water – 2015 Update and MDG Assessment Geneva: UNICEF and WHO.
Wutich
A.
&
Ragsdale
K.
2008
Water insecurity and emotional distress: Coping with supply, access, and seasonal variability of water in a Bolivian squatter settlement
.
Social Science & Medicine (1982)
67
(
12
),
2116
2125
.
https://doi.org/10.1016/j.socscimed.2008.09.042
.
Wutich
A.
2009
Intrahousehold disparities in women and men's experiences of water insecurity and emotional distress in urban Bolivia
.
Medical anthropology quarterly
,
23
(
4
),
436
454
.
https://doi.org/10.1111/j.1548-1387.2009.01072.x
Yengoh
G. T.
,
Armah
F. A.
,
Onumah
E. E.
&
Odoi
J. O.
2010
Trends in agriculturally-relevant rainfall characteristics for small-scale agriculture in Northern Ghana
.
Journal of Agricultural Science
2
(
3
).
https://doi.org/10.5539/jas.v2n3p3
.
Young
S. L.
,
Boateng
G. O.
,
Jamaluddine
Z.
,
Miller
J. D.
,
Frongillo
E. A.
,
Neilands
T. B.
,
Collins
S. M.
,
Wutich
A.
,
Jepson
W. E.
&
Stoler
J.
&
HWISE Research Coordination Network
2019
The Household Water InSecurity Experiences (HWISE) Scale: development and validation of a household water insecurity measure for low-income and middle-income countries
.
BMJ global health
4
(
5
),
e001750
.
https://doi.org/10.1136/bmjgh-2019-001750
.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/).