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Research Article

Potential relationship between malaria elimination and reducing stunting in children in sub-Saharan Africa

[version 1; peer review: 1 approved with reservations, 2 not approved]
PUBLISHED 05 Feb 2019
Author details Author details

Abstract

Background: The Sustainable Development Goals include goals to reduce malaria and stunting. Stunting is a result of childhood undernutrition. Our previous studies found that suppressing malaria could reduce poverty rates among agricultural households in Africa. The objective of this paper is to highlight how suppressing malaria could have the further effect of reducing stunting rates among children in agricultural households.
Methods: We estimated the burden of stunting among children in agricultural households in malarious regions of sub-Saharan Africa on the basis of our previous research and data from UNICEF. We also used an evaluation of the impact of a nutrition program in Peru to assess the potential for poverty reduction to reduce stunting.
Results: We estimated that there are approximately 21.5 million children suffering from stunting in agricultural households in malarious regions of sub-Saharan Africa. Poverty reduction was found to be a necessary condition to reduce stunting via a multisectoral nutrition program in Peru. The potential impact of suppressing malaria on the poverty rate of agricultural households could therefore play an important role in nutrition programs aiming to reduce stunting in Africa. Reducing the number of children with stunting in these households would improve their health and productivity as adults.
Conclusion: We have developed the first estimates of the burden of stunting in agricultural households in malarious regions of sub-Saharan Africa. Understanding how suppressing malaria affects stunting in these households could affect funding for anti-malaria programs. Future research should use longitudinal data to examine this impact at a finer spatial scale.

Keywords

malaria, agricultural households, Africa, stunting, Sustainable Development Goals

Introduction

The Sustainable Development Goals (SDGs) include goals for suppressing malaria and improving nutrition. The relationship between malaria and malnutrition has been extensively studied. A large number of studies have examined how malaria affects the susceptibility of individuals to malnutrition (Bradley-Moore et al., 1985; Man et al., 1998; Mcgregor et al., 1956; Rowland et al., 1977). Malnutrition’s impact on the susceptibility of individuals to malaria has also been studied (Bates et al., 1993; el Samani et al., 1987; Shankar, 2000), as has the impact of improving nutrition on the productivity of agricultural households (Basta et al., 1979; Behrman et al., 1997; Brooks et al., 1979; Gilgen et al., 2001; Pitt & Rosenzweig, 1986; Popkin, 1978; Scholz et al., 1997; Strauss, 1986). However, no studies have examined how suppressing malaria could reduce the impact of malnutrition on households.

Developing more accurate estimates of how suppressing malaria would affect the welfare of malarious communities could inform decisions regarding funding for malaria elimination programs (Willis & Hamon, 2018a). A lack of funding has been identified as the primary cause of failures to achieve or maintain elimination during the first Global Malaria Eradication Campaign (1955–1969) (Cohen et al., 2012).

Malnutrition is a disease category that includes both undernutrition and overnutrition (WHO, 2017). While overnutrition can lead to obesity, undernutrition is caused by deficiencies in micronutrients. The term malnutrition is often used as an alternative to undernutrition. Childhood stunting is the product of disease and undernutrition. Stunting in a child is defined as the child’s height-for-age Z score (HAZ) being less than two standard deviations below the median score of a healthy reference population.

In sub-Saharan Africa, 30% of the 155 million children under the age of five experienced stunting in 2016 (Skoufias, 2018) and approximately 25% of the population experiences chronic undernourishment (Ehui, 2018). These figures are causally linked as chronic malnutrition is one of the prime factors leading to stunting (Gray et al., 2006; Schwinger et al., 2017). The rate of stunting among the under-five population in Africa was the highest in the world in 2016.

The number of children with stunted growth under the age of five is increasing in sub-Saharan Africa (Skoufias et al., 2018), a trend not observed in any other region of the world. From 1990 to 2014, the number of stunted children under five increased by 23%, from 47 million to 58 million (UNICEF). In contrast, the number of children with stunting decreased by 52% in Asia, 55% in Latin America (including the Caribbean) and 38% globally (UNICEF).

One reason for this increase is the rapid rise in the child population of sub-Saharan Africa. From 2015 until the end of the century, sub-Saharan Africa will have a higher number of births than any other part of the world (UNICEF). Another reason, however, is that Africa has made slower progress towards reducing the percentage of children with stunting than other regions of the world (UNICEF). From 1990 to 2014, the percentage of stunted children under five in Africa decreased by only 24%, while the percentage in Asia declined by 47%, in Latin America (including the Caribbean) by 52% and globally by 40% (UNICEF).

Interventions to reduce childhood stunting include nutrition-specific or nutrition-sensitive interventions. Nutrition-specific interventions include providing micronutrients and vitamins to mothers and promoting breastfeeding. Although the efficacy of these interventions is high, developing countries have found it challenging to scale-up these approaches in resource-constrained settings (Galasso et al., 2016). These nutrition-sensitive interventions target the determinants of malnutrition rather than providing improved nutrition options directly to mothers. Nutrition-sensitive interventions include interventions that increase the productivity of agricultural households (Berti et al., 2004; De Brauw et al., 2015; Girard et al., 2012; Masset et al., 2012; Ruel et al., 2013). Suppressing malaria could have a similar impact on stunting given that recent studies indicate that malaria suppression could increase productivity and reduce poverty in agricultural households (Willis & Hamon, 2018a; Willis & Hamon, 2018b). The objective of this study is to highlight how suppressing malaria could affect stunting rates among children in agricultural households in sub-Saharan Africa.

Methods

Figure 1 was developed in a recent study (Willis & Hamon, 2019) as a conceptual framework to illustrate how eradicating malaria could create a virtuous cycle that improves the welfare of agricultural households. In previous studies, we examined the links from “Malaria decreases” to “Household income increases” (Willis & Hamon, 2018a; Willis & Hamon, 2018b). In the current study we examine the evidence for the links in Figure 1 from “Household income increases” (due to suppressing malaria) to “Nutrition security improves.”

8ce2fd40-6b84-4a63-848c-ce9981abd293_figure1.gif

Figure 1. Conceptual framework for the long-term impact of malaria on the income of an agricultural household.

Estimation of stunting

First, we estimated the burden of stunting in agricultural households in malarious areas of sub-Saharan Africa, using the commonly used metric of the number of children under the age of five in such households with stunting. By combining recent estimates of the total relevant population (Willis & Hamon, 2018a; Willis & Hamon, 2018b) and demographic data (taken from Population Pyramid), we estimated the number of children under five in agricultural households in each of 35 sub-Saharan countries. We then used published estimates of the prevalence of stunting in the under-five population in each of these countries (UNICEF, 2018) to estimate the number of those children with stunting.

Assessing the link between reduction in poverty and reduction in stunting

Second, we explored the link between poverty reduction and a reduction in stunting on the basis of recent work in Peru (Levinson et al., 2013; Skoufias et al., 2018). Data from the World Bank were used to examine the change in poverty rates from 2004 to 2011, while Demographic and Health Survey data for stunting rates were used to analyze the change in this indicator from 2007 to 2012 (World Bank, 2012).

Results

The relevant Sustainable Development Goals (SDGs) for malaria and malnutrition are summarized in Table 1. The goal for stunting is to achieve a 40% reduction in stunting rates among children under five by 2025 using 2010 as a baseline (Hawkes & Fanzo, 2017).

Table 1. Sustainable Development Goals for Malaria and Nutrition: impact of suppressing malaria among agricultural households in Africa on Sustainable Development Goals for Malaria and Nutrition.

GoalTarget for 2030
Good Health
and Well-Being
Reduce the global maternal mortality ratio to less than 70 per 100,000 live births
End preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce
neonatal mortality to at least 12 per 1,000 live births and under-5 mortality to at least 25 per 1,000 live births
End the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-
borne diseases, and other communicable diseases
Zero HungerEnd hunger and ensure access for all to safe, nutritious and sufficient food all year round, particularly the poor
and vulnerable, including infants
End all forms of malnutrition, including achieving, by 2025, the internationally agreed targets on stunting and
wasting in children under 5 years of age, and address the nutritional needs of adolescent girls, pregnant and
lactating women, and older persons
Double the agricultural productivity and incomes of small-scale food producers, particularly women, indigenous
peoples, family farmers, pastoralists and fishers, including through secure and equal access to land, other
productive resources and inputs, knowledge, financial services, markets and opportunities for value addition and
non-farm employment

Based on the current global progress toward reducing stunting, this goal will not be achieved (Hawkes & Fanzo, 2017). The number of stunted children under five globally is decreasing at a rate of 1.5% annually, which will lead to only a 20% reduction in stunting from 2010 to 2025 (Galasso et al., 2016). In order to reach the goal of a 40% reduction by 2025, the annual reduction in stunting will need to increase from 1.5 to 3.4% (Galasso et al., 2016).

Estimation of the burden of stunting among agricultural households in sub-Saharan Africa

In a recently published study, we estimated that there are approximately 54 million agricultural households in the malarious regions of 35 countries in sub-Saharan Africa (Willis & Hamon, 2018b). We defined an agricultural household as a household with a farming area of fewer than 10 hectares. Assuming that six individuals live in each household, we estimated that approximately 324 million individuals live in agricultural households in these regions.

The proportion of the total population of each country under the age of five ranged from 11.6 to 20% (Population Pyramid). Using these demographic data, we estimate that there are approximately 52.7 million individuals in the under-five population in agricultural households in malarious regions of sub-Saharan Africa.

The stunting rate in these 35 countries ranged from 20.2 to 58.8% (UNICEF, 2018). By linking the stunting rate estimates for each country with the under-five population estimates for each country, we estimate that approximately 21.5 million children suffered from stunting in agricultural households in malarious regions of sub-Saharan Africa in 2018. The number of children under five with stunting among agricultural households in each country is given in Table 2.

Table 2. Country data for number, population, median daily income and poverty levels of agricultural households in malarious countries of sub-Saharan Africa.

CountryNumber of
agricultural
households
(less than
10 hectares)
Population of
agricultural
households
(less than
10 hectares)
Median per
capita daily
income for
individuals in
agricultural
households
(2011 PPP)
Population in
agricultural
households in
poverty (daily
income less
than $1.90) in
2018
Under-5
population in
agricultural
households
Stunting
Rate
Number of
children with
stunting
in under-5
population in
agricultural
households
Angola791,4924,748,952$2.901,329,706878,55645.7%401,500
Benin302,6011,815,604$1.95871,490279,60338.2%106,808
Botswana89,231535,386$4.5474,95462,10531.4%19,501
Burkina Faso657,5593,945,355$2.091,735,956670,71027.3%183,104
Burundi1,156,9466,941,676$1.355,206,2571,270,32758.8%746,952
Cameroon686,6734,120,040$3.64824,008646,84638.0%245,802
Central African
Republic
225,3831,352,296$1.351,014,222194,73142.4%82,566
Chad271,7901,630,738$2.44587,065301,68641.6%125,502
Republic of
Congo
106,228637,366$2.54216,704102,61621.2%21,755
Democratic
Republic of
Congo
3,322,21519,933,288$1.1018,936,6243,528,19247.0%1,658,250
Equatorial
Guinea
22,289133,735$1.35100,30120,06026.2%5,256
Ethiopia10,937,17365,623,036$2.7919,686,9119,449,71740.0%3,779,887
Gabon52,711316,265$7.709,48743,01228.9%12,431
Gambia51,276307,659$3.8755,37855,99428.7%16,070
Ghana1,856,30911,137,856$4.611,447,9211,626,12722.1%359,374
Guinea623,3083,739,845$2.371,383,743598,37532.4%193,874
Guinea Bissau62,461374,766$1.41269,83158,08931.6%18,356
Ivory Coast828,8984,973,386$2.833,580,838800,71521.6%172,955
Kenya2,039,49812,236,986$2.444,405,3151,847,78529.2%539,553
Liberia90,290541,740$2.27195,02682,88633.6%27,850
Madagascar1,801,04710,806,284$1.1010,265,9701,664,16849.2%818,771
Malawi1,976,86811,861,210$1.269,726,1921,992,68339.1%779,139
Mali597,1583,582,946$1.941,719,814648,51333.8%219,198
Mozambique2,272,89113,637,344$1.509,137,0212,304,71145.8%1,055,558
Niger496,3982,978,388$2.071,310,491595,67842.2%251,376
Nigeria11,667,98570,007,910$1.8037,804,27211,761,32949.3%5,798,335
Rwanda1,242,0017,452,009$1.764,098,6051,035,82936.7%380,149
Senegal324,1211,944,724$2.38719,548330,60320.2%66,782
Sierra Leone165,580993,483$1.86516,611150,01640.4%60,606
South Sudan773,1314,638,788$2.321,762,740728,29032.0%233,053
Tanzania3,635,35921,812,155$1.9510,469,8343,795,31537.8%1,434,629
Togo318,5561,911,337$1.95917,442296,25733.3%98,654
Uganda2,926,29717,557,780$2.237,023,1123,213,07430.2%970,348
Zambia1,311,9627,871,771$1.584,959,2161,361,81642.1%573,325
Zimbabwe324,5301,947,180$3.42428,380305,70728.1%85,904
TOTAL:54,008,214324,049,282-162,790,98552,702,122-21,543,170

Impact of poverty reduction on stunting in Peru

In Table 3, we summarize the evidence for changes in poverty and stunting from a case study of Peru (Levinson et al., 2013). The top section of Table 3 shows that from 2004 to 2011, the national poverty rate in Peru decreased by 31 percentage points, from 58.8% to 27.8% (Skoufias et al., 2018).

Table 3. Reduction in poverty and stunting in Peru (2004 to 2012).

Data from Levinson & Balarajan, 'Addressing Malnutrition Multisectorally: What have we learned from recent international experience?' (2013).

VariableNationalRuralUrbanCRECER-targeted
districts
Poverty (percentage point decrease):Poverty Rate in 2004:58.8% 
Poverty Rate in 2011:27.8% 
Percentage point decrease
in poverty:
31.0% 
Stunting (percentage point decrease
among under-5 population):
Stunting Rate in 2007-2008:28.5%45.7%15.6%54.7%
Stunting rate in 2012:18.1%31.9%10.5%33.3%
Percentage point decrease
in stunting:
10.4%13.8%5.1%21.4%

The lower part of Table 3 summarizes the change in stunting rates at the national level and sub-national levels for rural districts, urban districts and districts that were targeted by the government’s CRECER program. The CRECER program (the National Nutrition Strategy for Poverty Reduction and Economic Opportunities) was a multisectoral strategy to improve nutrition that included results-based incentives for local participation (Levinson et al., 2013). Most of the districts where the program was implemented were in rural areas. While the percentage point decrease in the rural and CRECER-targeted districts was 13.8% and 21.4%, respectively, there was only a 5.1% decrease in urban areas (Levinson et al., 2013; World Bank, 2012). Nationally, Peru experienced a 10.4 percentage point decrease from the 2007/2008 baseline period to 2012 (Skoufias et al., 2018).

An evaluation of the impact of the CRECER program concluded that income growth played an important role in enabling multisectoral efforts to decrease undernutrition, although the declines in stunting could not be exclusively attributed to economic growth and poverty reduction (Skoufias et al., 2018). There is increasing interest in implementing similar multisectoral nutrition programs in sub-Saharan Africa (Hawkes & Fanzo, 2017; Skoufias et al., 2018):

  • “Although the declines in stunting cannot be exclusively attributed to economic growth and poverty reduction in Peru, it is important for policy makers in SSA countries to consider income growth and reduced income variability as necessary but not sufficient conditions for the reduction of child stunting” (Skoufias et al., 2018).

Discussion

Impact of eliminating malaria on poverty rates in sub-Saharan Africa

In a recent study, we found that eliminating malaria by 2040 would reduce the number of malaria cases experienced by agricultural households in sub-Saharan Africa by approximately 565 million to 1.1 billion cases from 2018 to 2040 as opposed to the number of cases for an unchanged malaria burden over that period (Willis & Hamon, 2018b). Eliminating malaria would enable adults in agricultural households to work an additional 3 billion days and children to attend 1.5 billion more days of school (Willis & Hamon, 2018b).

Figure 1 illustrates how suppressing malaria could affect the income of an agricultural household. Suppressing malaria may lead the household to make different decisions than otherwise regarding which crops to plant and how much to invest in agricultural inputs. The suppression of malaria may also increase the productivity of agricultural households by reducing the number of work days missed due to malaria. Recent research (Fink & Masiye, 2015) suggests that increasing the number of days worked by an agricultural household could increase the value of its harvest. We would therefore expect the suppression of malaria over the next two decades to increase the income of an agricultural household by increasing the value of agricultural harvests while also decreasing the household’s expenditures on anti-malaria interventions (Willis & Hamon, 2019).

We have previously found that eliminating malaria by 2040 would allow between 53 million and 123 million individuals in agricultural households to escape poverty, a 6.3–37.9% decrease (Willis & Hamon, 2018a). In contrast, only 40 million individuals among these same households would escape poverty by 2040 if the malaria burden were to remain at its 2018 level through 2040 (Willis & Hamon, 2018a). There is a strong relationship between poverty and stunting rates in sub-Saharan Africa. The average difference between stunting rates in the richest quintile and poorest quintile from 2009 to 2013 among the southern, central, western and eastern regions of sub-Saharan Africa was 23% (UNICEF). In western Africa, stunting rates were 47% over that period in the poorest quintile but only 18% in the richest quintile (UNICEF). If no workers in sub-Saharan Africa today had experienced stunting in childhood, per capita income today would be 9–10% higher (Galasso et al., 2016).

In Peru, a 31 percentage point decrease in the national poverty rate coincided with a 13.8 percentage point decrease in stunting in rural areas and a 21.4 percentage point decrease in districts targeted by a multisectoral initiative to improve nutrition (Skoufias et al., 2018). Given our estimate that there are approximately 21.5 million children under the age of five with stunting in agricultural households in malarious regions of sub-Saharan Africa and the increased interest in implementing nutrition-improvement initiatives similar to that in Peru in sub-Saharan Africa, the international donor community should consider how the reduction in poverty due to malaria elimination initiatives could play a role in increasing the impact of such programs.

Additional mechanisms by which suppressing malaria would affect stunting

Although our findings indicate that the effect of suppressing malaria on poverty rates could reduce the stunting burden in sub-Saharan Africa, malaria suppression may also make children less susceptible to the health impacts of malnutrition more directly. A study of children in Nigeria found that the weekly administration of a malaria prophylaxis (chloroquine) was correlated with a decrease in the number of deaths due to malnutrition as well as with less severe malnutrition (Bradley-Moore et al., 1985). Some evidence also indicates that reducing malaria may increase weight gain in children (Man et al., 1998), and recurrent episodes of malaria have also been found to have a negative effect on weight gain (Marsden, 1964; Mcgregor et al., 1956; Rowland et al., 1977).

Effect of improving nutrition (reducing stunting) on malaria burden

Policies that improve the nutrition of households in malarious regions would also affect the malaria burden on these households, as improved nutrition may decrease the probability that a malaria inoculation will lead to a symptomatic case of malaria or death. Vitamin A supplements were found to be efficacious in reducing symptomatic malaria cases, splenomegaly and mean parasite density in children in Papua New Guinea (Shankar, 2000), and some studies have found that zinc supplementation decreases the number of children admitted to health centers for malaria (Bates et al., 1993; Shankar, 2000). An analysis of children in the Sudan found that a lower nutritional status led to an increased relative risk for malaria (el Samani et al., 1987). A WHO report notes that improved nutrition enables people to lessen the severity of malaria cases (World Health Organization, 2016).

Several studies have identified a link between better nutrition and increased farmer productivity in Sierra Leone, Indonesia and Pakistan (Behrman et al., 1997; Pitt & Rosenzweig, 1986; Strauss, 1986). There is evidence that anemia and malnutrition in adults reduce their productivity. More sick days and absenteeism from work have been associated with anemia and malnutrition, along with overall reduced levels of productivity (Basta et al., 1979; Brooks et al., 1979; Gilgen et al., 2001; Popkin, 1978; Scholz et al., 1997). Increasing the productivity of an agricultural household may increase its income and lower its malaria burden.

Sustainable development goals for malaria and malnutrition

Global progress to reduce malnutrition is insufficient to meet its SDG (Table 1) (Hawkes & Fanzo, 2017). Achieving the SDG for malnutrition will require more than nutrition-specific interventions. Stunting would be reduced by only 20% globally if all 10 interventions that target stunting directly were implemented (Bhutta et al., 2013). The 2017 Global Nutrition Report noted that better nutrition can contribute to progress toward a range of SDGs, namely, sustainable food production, strong infrastructure, health systems, equity and inclusion, and peace and stability (Hawkes & Fanzo, 2017).

Equity and inclusion is closely related to poverty, as 46% of all stunting cases globally occur among the 767 million people living in extreme poverty (Hawkes & Fanzo, 2017). In this study, we highlight how progress in three of these core areas can impact stunting: suppressing malaria leads to higher productivity among agricultural households, which leads to less poverty and, based on the evidence from Peru, less stunting. Just as we should not look at the challenges to improving nutrition in isolation, ignoring the relationship with other SDGs, we should not consider the links between nutrition and the other SDGs as independent, bidirectional relationships.

Multisectoral strategies to reduce stunting in sub-Saharan Africa

Recommendations have been made for multisectoral programs to improve nutrition in sub-Saharan Africa (Movement, 2018; Skoufias et al., 2018). These strategies focus on food security, care, water, sanitation and hygiene, and health (Skoufias et al., 2018). An analysis of Demographic and Health Survey (DHS) data from 33 countries in sub-Saharan Africa provides a blueprint for designing and implementing multisectoral strategies to reduce stunting. All but five of the countries that were included in our analysis were among these 33 countries. The use of data to inform the decisions of each sector on how to allocate resources provides an opportunity for this initiative to reduce stunting to succeed, in contrast to previous multisectoral initiatives in Africa (Levinson et al., 2013). Senegal’s Nutrition Enhancement Program (NEP) is an example of such a successful strategy (Skoufias et al., 2018). The NEP was initiated in 2000, and stunting rates have decreased from more than 30% in 2000 to less than 19% in 2016 (Galasso et al., 2016).

Conclusions

In this study, we examine a third component of the cycle (Figure 1) of the impact of malaria on the welfare of agricultural households in sub-Saharan Africa: the impact of poverty reduction on stunting. This builds on our work showing the potential impact of eliminating malaria on the productivity and incomes of such households (Willis & Hamon, 2018a; Willis & Hamon, 2018b; Willis & Hamon, 2019).

We have developed new estimates indicating that there were approximately 21.5 million children with stunting in agricultural households in malarious regions of sub-Saharan Africa in 2018. We further identify a link between poverty reduction and a reduction in stunting on the basis of recent evidence from a nutrition program in Peru (Skoufias et al., 2018).

As our previous work has shown that eliminating malaria by 2040 would lead to a 6.3–37.9% decrease in poverty in agricultural households in malarious sub-Saharan Africa, we propose that malaria elimination efforts should be seen as having the additional benefit of mitigating the major health challenge of stunting. This has implications for funding for malaria elimination initiatives. As most rural populations in sub-Saharan Africa experience high rates of both malaria transmission and stunting, the international development community should not consider these two problems as isolated challenges: policies that successfully suppress one will also affect the other.

Figure 1 contains a link from ‘Nutrition security improves’ to ‘Health Improves.’ Many of the long-term physical, social and cognitive impacts of stunting are irreversible. Undernourishment not only leads to stunting but also inhibits cognitive development. Individuals who experience stunting in childhood are at higher risk of non-communicable diseases as adults and often have reduced socioemotional skills. Reducing stunting leads not only to improved health as an adult but may also increase productivity, as childhood stunting is associated with delayed schooling and lower incomes as adults (Black et al., 2013; Galasso et al., 2016; Hoddinott et al., 2013; Victora et al., 2016).

In addition to developing a vision for eradicating malaria by 2040 (Gates & Chambers, 2015), the Bill and Melinda Gates Foundation has recognized the importance of eliminating malnutrition. Bill Gates specifically stated in a 2018 interview (with Business Insider) that this would be his target were he to have a magic wand.

One potential limitation to our study is that the relationship between poverty rates and stunting may be distinctly different in Peru than in sub-Saharan Africa. A decrease in poverty rates among agricultural households in sub-Saharan Africa may have a larger or smaller impact on stunting rates than was observed in Peru.

Future research should examine how improvements in income, education levels and gender equality due to suppressing malaria among agricultural households in sub-Saharan Africa would affect malnutrition and stunting. To address this research question, we recommend the collection of longitudinal data from households in Africa from a range of agro-ecosystems. Collecting longitudinal data of this type would help generate knowledge regarding heterogeneities in the impact of suppressing malaria on malnutrition and stunting across communities and over time.

Data availability

The dataset for this research, Malaria among agricultural households in 2018 in sub-Saharan Africa - July 2018, has been deposited in CSV format with Harvard Dataverse. DOI: https://doi.org/10.7910/DVN/ZFJ3XT (Willis, 2018).

Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).

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Willis DW and Hamon N. Potential relationship between malaria elimination and reducing stunting in children in sub-Saharan Africa [version 1; peer review: 1 approved with reservations, 2 not approved]. Gates Open Res 2019, 3:12 (https://doi.org/10.12688/gatesopenres.12908.1)
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