Literature DB >> 26264913

A systematic, realist review of zooprophylaxis for malaria control.

Blánaid Donnelly1, Lea Berrang-Ford2, Nancy A Ross3, Pascal Michel4.   

Abstract

BACKGROUND: Integrated vector management (IVM) is recommended as a sustainable approach to malaria control. IVM consists of combining vector control methods based on scientific evidence to maximize efficacy and cost-effectiveness while minimizing negative impacts, such as insecticide resistance and environmental damage. Zooprophylaxis has been identified as a possible component of IVM as livestock may draw mosquitoes away from humans, decreasing human-vector contact and malaria transmission. It is possible, however, that livestock may actually draw mosquitoes to humans, increasing malaria transmission (zoopotentiation). The goal of this paper is to take a realist approach to a systematic review of peer-reviewed literature to understand the contexts under which zooprophylaxis or zoopotentiation occur.
METHODS: Three electronic databases were searched using the keywords 'zooprophylaxis' and 'zoopotentiation', and forward and backward citation tracking employed, to identify relevant articles. Only empirical, peer-reviewed articles were included. Critical appraisal was applied to articles retained for full review.
RESULTS: Twenty empirical studies met inclusion criteria after critical appraisal. A range of experimental and observational study designs were reported. Outcome measures included human malaria infection and mosquito feeding behaviour. Two key factors were consistently associated with zooprophylaxis and zoopotentiation: the characteristics of the local mosquito vector, and the location of livestock relative to human sleeping quarters. These associations were modified by the use of bed nets and socio-economic factors. DISCUSSION: This review suggests that malaria risk is reduced (zooprophylaxis) in areas where predominant mosquito species do not prefer human hosts, where livestock are kept at a distance from human sleeping quarters at night, and where mosquito nets or other protective measures are used. Zoopotentiation occurs where livestock are housed within or near human sleeping quarters at night and where mosquito species prefer human hosts.
CONCLUSION: The evidence suggests that zooprophylaxis could be part of an effective strategy to reduce malaria transmission under specific ecological and geographical conditions. The current scientific evidence base is inconclusive on understanding the role of socio-economic factors, optimal distance between livestock and human sleeping quarters, and the effect of animal species and number on zooprophylaxis.

Entities:  

Mesh:

Year:  2015        PMID: 26264913      PMCID: PMC4533963          DOI: 10.1186/s12936-015-0822-0

Source DB:  PubMed          Journal:  Malar J        ISSN: 1475-2875            Impact factor:   2.979


Background

Despite renewed commitments and control efforts in recent years [1-3] malaria continues to be a major contributor to global health burden, with approximately 165 million cases in 2013 [4]. Integrated vector management (IVM) has been promoted as a sustainable approach to combat malaria [5, 6] in the face of increasing insecticide resistance of malaria vectors, and environmental and health concerns [5, 7]. This strategy involves combining chemical and non-chemical interventions targeted to specific ecological settings in a way that maximizes efficacy while minimizing cost and negative environmental impacts [5]. IVM makes use of environmental modification, environmental manipulation, chemical control methods, and biological methods [5] (Table 1).
Table 1

Summary of integrated vector management (IVM) approach [9, 20, 53]

Integrated vector management approach
MethodChemicalBiologicalEnvironmental management
DefinitionReduce the vector population by killing larvae or adult vectors with insecticides (e.g., DDT)Using natural predators or pathogens of vector speciesDisrupting vectoral habitat to reduce human-vector interaction and/or vector reproduction and survival
Sub-typeModification of human habitats and behavioursEnvironmental manipulationEnvironmental modification
Sub-type definitionLocating human habitats and changing behaviour to reduce vector-host contactLong term change to physical environment to prevent vector habitatsTemporary change to physical environment to prevent larval development
ExamplesIndoor residual sprayingSpace sprayingLarvivorous fishNematodesBacteriaSleeping under bed netsPlacing human settlements away from vector breeding sitesScreening doors and windowsZooprophylaxisWetland and marsh drainageDitch fillingTree planting
Summary of integrated vector management (IVM) approach [9, 20, 53] Strategic placement of livestock sheds or pens has also been proposed as a component of IVM to reduce contact between vectors and human hosts [8, 9]. The World Health Organization (WHO) began recommending this type of intervention in 1982 as a method to divert mosquitoes from human populations [10]. This purposeful use of livestock (i.e. as dead-end hosts) to divert mosquitoes away from humans is described as active zooprophylaxis. Passive zooprophylaxis occurs where normal presence of livestock draws mosquitoes away from humans [11]. Insecticide zooprophylaxis, more commonly described in tsetse fly control, involves the use of insecticide-treated cattle and has also been investigated for the control of malaria vectors [12-15]. There remains considerable debate regarding the efficacy of zooprophylaxis [10, 11, 16–20]. In addition to the literature supporting zooprophylaxis [21, 22], there is evidence that supports zoopotentiation; livestock presence may actually increase malaria transmission by creating additional blood meal sources, which, in turn, can increase vector lifespan and population density [10, 11, 16]. Due to the divergent nature of the literature and the complexity of the relationship between livestock and malaria prevalence, there has been a reluctance to employ zooprophylaxis in control programmes [8, 23, 24]. The goal of this paper was to characterize and critically assess the potential for zooprophylaxis to reduce malaria transmission, with specific attention paid to the contexts under which it may be an effective component of IVM. The strategic framework for IVM calls for evidence-based decision-making in the selection of appropriate interventions that acknowledge the local context, including vector ecology, epidemiology and socio-economic factors [5].

Methods

A modified systematic review methodology, employing realist approaches [25, 26] was applied to the self-identifying zooprophylaxis literature. This approach recognizes a priori that the scientific literature in this area is conflicting and in this case focuses on when, why, and in what contexts zooprophylaxis or zoopotentiation may occur. A meta-analysis, was not feasible due to the variety of study designs (including both observational and experimental designs) and outcome measures employed in this research area. ISI Web of knowledge, CAB Direct and PubMed databases were searched in December 2014 using the keywords ‘zooprophylaxis’ and ‘zoopotentiation’. While this invariably excluded studies of malaria risk factors that consider the presence of animals, but did not self-identify using the terms ‘zoopotentiation’ or ‘zooprophylaxis’, the search was limited to these explicit terms for two reasons: (1) to select a proxy sample of the key literature explicitly emphasizing and investigating zooprophylaxis, more likely to provide direct discussion, consideration of causal pathways of association and depth regarding the role of animals in malaria transmission; and, (2) to limit the number of results to a feasible and directly relevant sample for in-depth realist analysis. This search retrieved 75 documents after removal of duplicates. Only empirical, peer-reviewed articles that focused on either malaria infection in humans or mosquito behaviour associated with livestock presence were reviewed. Mathematical models of mosquito behaviour and review articles were excluded from the synthesis but their content was assessed to provide context for interpretation of results (Table 2). A total of 20 articles met final inclusion criteria and were retained for critical appraisal after full article review (Fig. 1). Forward and backward citation tracking were applied to the articles selected for critical appraisal with one additional relevant article identified.
Table 2

Inclusion and exclusion criteria for document selection

InclusionExclusion
EnglishNon-English
Peer-reviewed articles presenting empirical researchReviews, editorials, theoretical frameworks, mathematical models, grey literature, non-empirical studies
Considers livestock as a predictor variableNo livestock variable or comparison
Malaria risk outcome such as human biting index or diagnosed malaria infectionMalarial outcome based only on febrile illness (no confirmed diagnosis)
Fig. 1

Systematic article selection process.

Inclusion and exclusion criteria for document selection Systematic article selection process. Data extraction from each article included author, date of publication, study location, livestock exposure, malaria risk outcome measures, study design, and study limitations. Published results reporting significant associations at the 95% confidence level were classified as supporting a significant zooprophylaxis or zoopotentiation effect. Critical appraisal [27] resulted in the exclusion of 14 articles. Reasons for exclusion (Additional file 1) were related to data analysis such as a lack of evidence of statistical significance [28, 29], and pooling of data preventing conclusions from being made on the effect of livestock on malaria risk [30]. Others were excluded based on study design issues, such as the absence of a comparison group [31] and small sample sizes [32]. The pertinent results and conclusions of each study were analysed with regard to the associations between livestock and malaria risk.

Results

Study characteristics

Twenty articles met inclusion criteria; 15 were observational studies and five were experimental (Table 3). Of the observational designs, there were 12 cross-sectional, two case–control, and one cohort design. The majority (16) of studies were conducted in sub-Saharan Africa (SSA), nine from East Africa, five from West Africa and two from Southern Africa. The remaining four studies were carried out in Pakistan (2), Bolivia (1) and Lao PDR (1). Two articles reported on a single study conducted in The Gambia, although each article reports analysis of a different outcome (malaria infection versus mosquito feeding behaviour).
Table 3

Summary of reviewed articles

ReferencesGeographic locationSampleFindingsAccounted for bed net?Accounted for socio-economic factors?Predominant mosquito species and characteristics (as reported by authors)Animal-related variableEffect
Bogh et al. [11]The Gambia102 pairs of children An. gambiae s.s. and An. melas: no difference in HBI between cattle and non-cattle group. An. arabiensis: reduction of HBI by 30% in presence of cattle. No significant difference in sporozoite rate of all mosquito species in cattle compounds (0.97%) compared to non-cattle compounds (1.28%)YesNo An. gambiae s.s. (72%), An. arabiensis (10%): relatively zoophilic, An. melas (18%): relatively zoophilicCattle present: children sleeping <20 m from at least one cow vs cattle absent: children sleeping >50 m from nearest cow (other livestock present but not considered)Zooprophylaxis (An. arabiensis), none (An. gambiae s.s. and An. melas)
Bogh et al. [10]The Gambia102 pairs of childrenNo difference in parasite prevalence odds ratio between cattle and non-cattle group after adjusting for wealth. Adjusted OR 1.69 (CI 0.67–4.24), p = 0.26YesYesAs aboveAs aboveNone
Bouma and Rowland [16]Pakistan2,042 slides examined over 2 yearsHigher parasite prevalence in children from households owning cattle (15.2%) than children without (9.5%) Mantel–Haenszel χ2 = 9.6, p < 0.005. Mean parasite rates and prevalence of cattle keeping were positively correlated for seven villages (r = 0.79, p = 0.036)NoNo Anopheles culicifaces: zoophilic, Anopheles stephensi: zoophilic, Anopheles subpictus: zoophilicCattle or water buffalo kept within the household compoundZoopotentiation
Bulterys et al. [40]Zambia34 case households, 27 control householdsCattle ownership was associated with reduced odds of recurrent malaria infection (adjusted OR 0.19, CI 0.05–0.69). Households with the most cattle, goats, dogs, or cats had reduced odds of recurrent infection (adjusted OR 0.13, CI 0.03–0.56)YesNo An. arabiensis: anthropophilic/opportunistic, An. funestus Animal ownership (location not measured)Zooprophylaxis
Ghebreyesus et al. [23]Ethiopia2,114 children (<10 years)Animals sleeping indoors increased the incidence rate ratio for malaria infection (adjusted RR 1.92, CI 1.29–2.85). Cattle ownership was not associated with malaria infection (1–2 cows: aRR 0.75, CI 0.39–1.45; 3–4 cows: aRR 1.18, CI 0.65–2.14; ≥5 cows: aRR 1.18, CI 0.64–2.17) nor was sheep and goat ownership (1-4 sheep/goats: aRR 0.93, CI 0.58–1.50; ≥5 sheep goats: aRR 0.81, CI 0.54–1.22)NoYes An. arabiensis Cattle ownership, sheep and goat ownership, animals sleep inside houseZoopotentiation for animals sleeping indoors. No effect for sheep/goat or cattle ownership.
Habtewold et al. [12]Ethiopia278 mosquitoesNo significant difference in proportion of mosquitoes feeding on humans and livestock for people sleeping with livestock indoors (site B) vs livestock housed separately (site A). Higher proportion of mosquitoes feeding on cattle (93.7%) compared to humans (3.1%) for people sleeping on elevated platforms (site C) above livestock (p < 0.05). Higher proportion of cattle feeding in site C (93.7%) vs sites A (42.7%) and B (54.7%) (p < 0.001)NoNo An. arabiensis: moderately zoophilicHumans sleep in traditional houses with cattle in separate enclosures (site A), humans sleep in houses with livestock sharing dwelling at night (site B), humans sleep in tree platforms above cattle (site C)Zooprophylaxis
Habtewold et al. [13]Ethiopia18 study replications, total mosquito catch not reportedNo effect of untreated ox on HBC for An. arabiensis but ox odour increased HBC (mean catch/person/night = 22 without cattle odour, 32 with, p < 0.05). For An. pharoensis HBC was significantly reduced in the presence of untreated ox (catch/person/night = 50 without and 26 with, p < 0.01) but increased in presence of cattle odour (catch/person/night = 6 without and 18 with, p < 0.001). CIs included but graph printing obscures visualization for most valuesNANA An. arabiensis: zoophilic, exophagic. Secondary vector: An. pharoensis “Nearby” specific distance not reportedNone (An. arabiensis), zooprophylaxis (An. pharoensis)
Hadis et al. [36]Ethiopia611 An. arabiensis mosquitoesMosquitoes collected from mixed human-livestock dwellings had significantly lower HBI (20.2%) than mosquitoes collected from human-only dwellings (91.5%) p < 0.001NoNo An. arabiensis Human dwellings vs mixed human-cattle dwellings vs cattle shedsZooprophylaxis
Hewitt et al.a [24]Pakistan643 anopheline mosquitoesHLC increased in presence of a cow (38%, CI 8–68%), and two goats (50%, CI 16–84%)NANA An. stephensi: zoophilicA cow or two goats tethered 6 m from male mosquito collectorsZoopotentiation
Hiscox et al. [38]Lao PDR879 anopheline mosquitoesCow ownership doubled the risk of anopheline house entry (IRR 2.32, CI 1.29–4.17, p = 0.005)YesYes Anopheles philippinensis Ownership of chickens, ducks, pigs, cows, or buffaloes, and keeping large animals (pigs, cows, buffaloes below the house)Zoopotentiation for cow ownership but no effect of owning any other animals or keeping large animals below the house
Iwashita et al. [33]Kenya104 houses, 1,664 anopheline mosquitoes An. arabiensis abundance increased by 10% with each additional goat/sheep tethered around the house. [Exp (β) = 1.10, β = 0.10, p = 0.02]. Odds of human blood feeding were decreased 0.99 times by each goat or sheep tethered within 500 m of the household [Exp (β) = 0.99, β = −0.01, p < 0.01]YesNo An. arabiensis: zoophilic, exophagic, An. funestus s.s.: anthropophilic, endophagic, An. gambiae s.s. anthropophagic, endophagicCattle or goats/sheep kept within 20 m of houseNone (An. gambiae s.s., An. funestus s.s), zoopotentiation (An. arabiensis)
Lardeux et al.a [54]Bolivia384 blood fed mosquitoes Anopheles pseudopunctipennis preferred small ruminants (forage ratio 1.99, CI 1.80–2.19) to equids (1.95, CI 1.38–2.52) to humans (1.47, CI 1.25–1.69) to cows (1.15, CI 0.65–1.66) and avoided pigs (0.34, CI 0.20–0.48) and chickens (0.03, CI 0–0.75)NoNo An. pseudopunctipennis: opportunisticVarious collection locations including outdoor traps and indoor resting collectionsZooprophylaxis
Maia et al.a [21]Ghana1,017 anopheline mosquitoesPresence of cattle reduced the number of An. gambiae s.s. for HLC by 66% (p < 0.0001) but increased the density of Anopheles ziemanni (not statistically significant). Cattle presence did not influence the HLC number from 20 m awayNANA An. gambiae s.s.: NA, An. ziemanni: zoophilicCattle inside 6 × 7 m experimental penZooprophylaxis (An. gambiae s.s)
Mala et al. [37]Kenya20 households, 417 mosquitoesOdds of An. arabiensis occurrence decreased in presence of animals (OR 0.4, p = 0.03) and odds decreased with increasing distance to animal shelters (OR = 0.88, p < 0.001)NoNo An. arabiensis (66%), An. funestus (18%), An. pharoensis (15%)Presence of animals, relative distance to animal shedsUnclear
Mutero et al. [8]Kenya420 householdsLow malaria prevalence in irrigated villages compared to non-irrigated villages (p < 0.05). Authors attribute this to preference for cattle feeding by An. arabiensis in the irrigated villagesNoNo An. arabiensis: zoophilicMean tropical livestock units per villageZooprophylaxis
Palsson et al. [35]Guinea Bissau30 householdsPresence of pigs indoors associated with increased mosquito abundance (χ2 = 17.63, p < 0.001) but the presence of goats was not (χ2 = 1.08, p < 0.30). Goats were relatively uncommon compared to pigs (relative prevalence of livestock not reported)NoNo An. gambiae s.l. (An. gambiae s.s. most abundant)Presence of pigs or goats inside the houseZoopotentiation
Temu et al. [41]Mozambique8,338 children from 2,748 householdsPig keeping associated with increased odds of malaria infection (OR 3.2, CI 2.1–4.9)YesYes An. gambiae s.s.: anthropophilic, An. funestus: anthropophilicChildren living in households with chickens, goats, sheep, cows, pigsZoopotentiation
Tirados et al. [34]Ethiopia63,194 mosquitoesHLC caught significantly more mosquitoes (163 mosquitoes/trap/night) than CBT (26 mosquitoes/trap/night, F = 35.9, p < 0.001) outdoors in areas of high cattle: human ratio compared to areas of low cattle: human ratio (HLC = 3.1, CBT = 2.1, no significant difference reported)NANA An. arabiensis: anthropophilic, exophagicCattle: human ratio 0.6:1 vs 17:1.Zoopotentiation
Tirados et al.a [22]EthiopiaNot reportedOutdoor HLC of An. arabiensis was not affected by the presence of a surrounding cattle ring, while the presence of a surrounding cattle ring reduced the outdoor HLC for An. pharoensis by 44% (p < 0.05). Indoor HLC did not differ from outdoors for either vector species. The indoor HLC decreased by 49% (p < 0.01) in presence of cattle ring for An. arabiensis. The catch of An. arabiensis in HBT was 25 times greater than in CBT (p < 0.001) whereas, for An. pharoensis there was no significant difference. HBT and CBT catches were unaffected by a ring of cattle for either vector speciesNANA An. arabiensis: opportunistic, exophagicPresence of a ring of 20 cattle surrounding the place where a person was (either outside or inside hut)Zooprophylaxis
Yamamoto et al. [43]Burkina Faso117 cases, 221 controls (women and children <9 years)In univariable analyses, keeping donkeys (OR 0.59, CI 0.34–1.01), rabbits (OR 0.52, CI 0.25–1.09), and pigs (0.26, CI 0.07–0.89) within the compound had a significantly protective effect at the p < 0.20 level. While no effect was found for cows (OR 0.84, CI 0.45–1.54), sheep (OR 0.84, CI 0.51–1.37), goats (OR 0.08, CI 0.60–1.93), or poultry (OR 1.14, CI 0.68–1.90). No difference between malaria cases and controls associated with animal ownership after adjusting for bed net use and level of education (odds ratio of multivariate analysis not reported)YesYesb An. gambiae, An. funestus, An. arabiensis Animals kept in compoundNone

NA not applicable due to nature of study design, HBI human blood index, OBET odor baited entry trap, PSC pyrethrum spray catch, HLC human landing catch, HBT/CBT human/cattle baited trap, OR odds ratio, aRR adjusted rate ratio, CI 95% confidence interval.

aExperimental design, observational design if not otherwise stated.

bControlled for education level.

Summary of reviewed articles NA not applicable due to nature of study design, HBI human blood index, OBET odor baited entry trap, PSC pyrethrum spray catch, HLC human landing catch, HBT/CBT human/cattle baited trap, OR odds ratio, aRR adjusted rate ratio, CI 95% confidence interval. aExperimental design, observational design if not otherwise stated. bControlled for education level.

Outcome measures

Four studies measured parasitaemia as an outcome. Three articles defined parasitaemia by positive identification of the parasite by thick and thin blood smears and one used a positive result on a malaria rapid diagnostic test (RDT). One study used recurrent household-level malaria infection defined as two or more infections for two or more household members over nine screening events but did not report the screening method used. Four studies reported mosquito feeding behaviour as measured by human blood index, which is the proportion of blood meals taken on a human out of the total number of blood meals taken. Five studies used mosquito abundance or mosquito presence as their outcome measure and four studies measured host attraction either by human landing catches or human-baited traps. One study reported both human blood index and mosquito abundance as outcome measures and another used both human blood index and host attractiveness by human landing catch.

Key determinants of zooprophylaxis and zoopotentiation

Two main factors were consistently associated with zooprophylaxis and zoopotentiation: the predominant vector species present, and the location of livestock relative to humans, particularly during peak feeding times. Zooprophylaxis was considered to be dependent on the relative preference of mosquitoes for animal hosts (zoophily) in seven studies. Where the predominant mosquito species prefers human to animal hosts (anthropophily), and human hosts are available, keeping livestock nearby is unlikely to result in zooprophylaxis. Relative zoophily was reported as an important predictor of zooprophylaxis in five studies where multiple mosquito species were present. For example, Anopheles gambiae sensu stricto and Anopheles funestus were generally found to be anthropophilic compared to other species such as Anopheles pharoensis and Anopheles arabiensis, which were readily deferred from humans to feeding on livestock species [11, 13, 22, 33]. In some cases, An. arabiensis were found to be opportunistic in their host choices, or were anthropophilic but exophagic (prefer to feed outdoors) and therefore would feed on animals if no humans were found outdoors [34]. Many of the entomological studies [11, 12, 33, 34] collected only indoor resting mosquitoes for the assessment of blood meals, which may bias samples towards endophilic (indoor resting) and endophagic (indoor feeding) species, which often tend to be anthropophilic [24]. Mosquito species were not identified in the five studies that measured human malaria infection as the outcome. Fourteen studies found that proximity or location of livestock relative to humans influenced malaria risk. When animals were housed inside at night, or in close proximity to sleeping rooms, malaria risk increased [11, 16, 23, 24, 33, 35, 36]. In contrast, when livestock were housed in separate shelters some distance away, malaria risk decreased [22, 34, 37]. However, some studies failed to find an association between location of livestock and zooprophylaxis or zoopotentiation. For example, in Lao PDR, owning a cow doubled the risk of mosquito house entry but keeping livestock near or underneath the house at night had no effect [38]. Similarly, a cohort study in The Gambia examined parasite prevalence in children sleeping within 20 m of the nearest cow compared to children sleeping at least 50 m from the nearest cow. No difference could be found in parasite prevalence between the groups when socio-economic factors were taken into account. It should be noted, however, that other livestock, such as goats, donkeys and horses, were commonly found in participating households but were not included in the analysis [10]. While no study specifically tested the impact of keeping livestock at varying distances on malaria risk, Maia and colleagues were unable to detect an effect of cattle at a distance of 20 m on human landing catches of mosquitoes [21]. Relative abundance of livestock to humans, or high cattle: human ratio may influence the success of zooprophylaxis [11, 39]. Three studies carried out in the Rift Valley of southern Ethiopia, where An. arabiensis is the main malaria vector, examined the relationship between cattle: human ratio and malaria risk. Two of these studies found no association [22, 34]. The third study did not account for the effect of humans sleeping on raised platforms in trees above cattle to avoid mosquito bites (with high cattle: human ratio) compared to the other two sites where humans slept in traditional dwellings (with lower cattle: human ratio) [12].

Influence of modifying variables

Two contextual factors were shown to modify the association between malaria risk and livestock: the use of bed nets and socio-economic status. The use of bed nets seems to be an effect modifying factor, preventing even highly anthropophilic species from feeding on humans, forcing them to feed on livestock as an alternative [33]. While two studies found that bed nets had no impact on malaria infection [40], or mosquito house entry [38] and another reported that pig ownership remained a significant risk factor for positive RDT when bed nets were accounted for [41], six studies reported a relationship between bed nets and zooprophylaxis [8, 10, 11, 33, 42, 43]. In two of these studies, the effect of zooprophylaxis was diminished or became non-significant when bed net use was controlled for [10, 43]. Iwashita et al. reported that bed nets dramatically reduced human blood feeding in the presence of livestock [33]. A study conducted within a rice irrigation scheme in Kenya suggested that the cause of lower prevalence of malaria in villages where irrigation took place (and where prevalence was expected to be high) was a result of preferential feeding on livestock [8]. Bed net use was not measured in this study. Other work in the same location has suggested that bed net usage is promoted heavily in irrigated areas where malaria risk is known to be high [42]. Socio-economic status, measured as wealth or asset ownership was considered in four studies [10, 23, 38, 41]. One study identified a decrease in malaria prevalence with animal ownership, but controlling for wealth removed the effect of zooprophylaxis [10]. This study used a financial index based on livestock value to measure wealth and, therefore, collinearity might be expected between the presence of livestock and wealth. A second study noted that, in univariable analysis, sheep keeping was associated with decreased odds of infection with malaria while pig keeping was associated with increased odds of infection. When wealth was accounted for, the association with sheep ownership was no longer statistically significant while the relationship with pig ownership persisted [41]. Ghebreyesus et al. included household radio ownership in multivariable analysis and found that livestock sleeping inside the house increased incidence of infection in children [23]. Hiscox et al. did not find that household television ownership was significantly associated with mosquito house entry in univariable analysis, and it was therefore not included in multivariable analysis [38]. Yamamoto et al. controlled for maternal education level, a robust and commonly used measure of socio-economic status [44], and found that the protective effect of donkeys, rabbits and pigs was removed when level of education and bed net use were controlled for [43]. These studies and others [8] emphasized the strong association between measures of socio-economic status and malaria risk. This important association can confound the relationship between animal ownership and malaria prevalence given that animal ownership is a reflection of social standing. Socio-economic status is likely an important unmeasured confounder affecting zooprophylaxis in the scientific evidence base.

Discussion

This systematic realist review points to three key findings regarding the context under which zooprophylaxis may be utilized as a component of IVM. First, zooprophylaxis is most likely to be effective when the mosquito species present do not have a strong preference for human hosts. Second, in order to take advantage of mosquito preference for animals, animals must be kept out of human sleeping quarters at night. There is evidence that even in the context of mosquito species with preference for animal hosts, close proximity to humans at night may result in zoopotentiation. Third, where bed nets are used, mosquitoes are more likely to feed on animal hosts as an alternative. Proximity of livestock to humans at night has been identified as an important factor in zooprophylaxis [45]. What remains unclear is the appropriate distance at which livestock should be kept in order to promote zooprophylaxis or prevent zoopotentiation. It is also unknown whether this distance differs between regions, species and contexts. Incidence rates of Plasmodium vivax were reduced in Sri Lankan households where cattle sheds were located within 70 m of the home when wealth, bed nets and other protective measures were considered; however, this effect was weak (RR 0.70, 95% CI 0.47–1.03) [46]. Current evidence supports the exclusion of animals from human dwellings at night, particularly where mosquito species are zoophilic. Improved estimation and precision around appropriate livestock proximities would benefit from the inclusion of livestock species, their number and location, and use of bed nets or other malaria prophylaxis in future studies. Mosquito species characteristics were also identified as a key predictor of zooprophylaxis and zoopotentiation. Highly anthropophilic species were generally unaffected by the presence or absence of livestock whereas zoophilic and opportunistic species may be deterred from humans in the presence of alternative hosts. This is consistent with a model by Saul predicting that for vectors with a low human biting index, an increase in animal host density can significantly decrease disease transmission, while the same did not hold for weakly zoophilic species [18]. Similarly, Franco et al. predict that in the presence of moderately zoophilic vectors, such as An. arabiensis, the introduction of livestock would increase malaria transmission except in two cases: (1) where vector carrying capacity has already been reached in the system and the addition of livestock hosts does not increase vector density; and, (2) where livestock density and availability are so great as to counteract the effect of increased vector density associated with the introduction of livestock [47]. With regard to the impact of bed nets, since the rate of disease transmission is dependent upon host species interaction, any intervention that decreases contact between host and vector will decrease the risk of infection [5]. This has been corroborated by mathematical transmission models which find that while increased cattle density can decrease malaria transmission when sufficient animals are present and are housed separately, the most successful reduction transmission occurs when personal protective measures are also employed [18, 39]. Where accessibility of humans relative to animals is decreased, it is predicted that malaria prevalence and number of bites will decrease [18, 47]. Time of biting and human behaviour may also have an impact on the effectiveness of bed nets. If people are outdoors during peak biting times, bed nets will not provide protection against mosquito bites [21]. Socio-economic factors may be important unmeasured confounders in studies of zooprophylaxis. Risk factors for malaria are related to poverty through limited access to preventative measures such as bed nets, screened windows, closed roofing, and adequate health care [48]. Livestock ownership is also associated with increased socio-economic status, especially among the rural poor [49-51]. It has been suggested that in addition to zooprophylactic effects, livestock may be a confounder for reduced malaria risk as those who own livestock may also be able to afford preventative and treatment measures [10] or have better overall health and nutritional status [51, 52]. Households keeping animals indoors at night may represent those who are financially restricted from providing alternative livestock shelters, further complicating the inter-relationships between wealth and animal ownership in malaria transmission.

Conclusions

There is scientific evidence to support zooprophylaxis where the dominant vector is highly zoophilic and livestock are kept away from human sleeping quarters during peak vector activity. The use of protection such as bed nets may be complementary, and would be expected to reduce the measured effect of zooprophylaxis in empirical studies. Where vector preference is mixed, varied or unknown, or where the appropriate distance of livestock from sleeping quarters is in debate, there is insufficient evidence to support the use of zooprophylaxis, and some evidence to suggest the possibility of zoopotentiation. Research in three priority areas is required for clearer evidence of contexts to maximize the likelihood of zooprophylaxis and minimize the likelihood of zoopotentiation: (1) estimation of the distance threshold and conditions whereby processes of zoopotentiation transition to zooprophylaxis for specific livestock host and mosquito vector species combinations; (2) consideration of the preference of species to feed indoors versus outdoors in entomologic studies in order to accurately assess mosquito host preferences; and, (3) inclusion of socio-economic factors and the use of other prophylactic measures as key covariates in empirical research assessing zooprophylaxis and zoopotentiation. These research priorities may aid in the development of guidelines for the use of zooprophylaxis as a malaria control intervention for agricultural extension agencies who may wish to make livestock management recommendations, such as the optimal placement of livestock shelters with respect to human sleeping quarters. Zooprophylaxis has the potential to contribute to IVM strategies due to its non-chemical nature, optimal combination with bed nets, potential social desirability, and minimal financial requirements. It will require interdisciplinary collaboration between agricultural extension officers, veterinarians and health care professionals with ongoing monitoring of efficacy.
  43 in total

Review 1.  The effects of household food production strategies on the health and nutrition outcomes of women and young children: a systematic review.

Authors:  Amy Webb Girard; Julie L Self; Corey McAuliffe; Olafunke Olude
Journal:  Paediatr Perinat Epidemiol       Date:  2012-07       Impact factor: 3.980

2.  Failure of passive zooprophylaxis: cattle ownership in Pakistan is associated with a higher prevalence of malaria.

Authors:  M Bouma; M Rowland
Journal:  Trans R Soc Trop Med Hyg       Date:  1995 Jul-Aug       Impact factor: 2.184

3.  Effects of long-lasting insecticidal nets and zooprophylaxis on mosquito feeding behaviour and density in Mwea, central Kenya.

Authors:  Josyline C Kaburi; Joyce N Githuto; L Muthami; Peter K Ngure; Jones M Mueke; Charles S Mwandawiro
Journal:  J Vector Borne Dis       Date:  2009-09       Impact factor: 1.688

4.  Are herders protected by their herds? An experimental analysis of zooprophylaxis against the malaria vector Anopheles arabiensis.

Authors:  Iňaki Tirados; Gabriella Gibson; Stephen Young; Stephen J Torr
Journal:  Malar J       Date:  2011-03-24       Impact factor: 2.979

5.  Plasmodium falciparum transmission and aridity: a Kenyan experience from the dry lands of Baringo and its implications for Anopheles arabiensis control.

Authors:  Albert O Mala; Lucy W Irungu; Josephat I Shililu; Ephantus J Muturi; Charles M Mbogo; Joseph K Njagi; Wolfgang R Mukabana; John I Githure
Journal:  Malar J       Date:  2011-05-14       Impact factor: 2.979

6.  Integrated vector management for malaria control in Uganda: knowledge, perceptions and policy development.

Authors:  Clifford M Mutero; Dieter Schlodder; Narcis Kabatereine; Randall Kramer
Journal:  Malar J       Date:  2012-01-14       Impact factor: 2.979

7.  Estimates of child deaths prevented from malaria prevention scale-up in Africa 2001-2010.

Authors:  Thomas P Eisele; David A Larsen; Neff Walker; Richard E Cibulskis; Joshua O Yukich; Charlotte M Zikusooka; Richard W Steketee
Journal:  Malar J       Date:  2012-03-28       Impact factor: 2.979

8.  The effects of zooprophylaxis and other mosquito control measures against malaria in Nouna, Burkina Faso.

Authors:  Shelby S Yamamoto; Valérie R Louis; Ali Sié; Rainer Sauerborn
Journal:  Malar J       Date:  2009-12-09       Impact factor: 2.979

9.  High prevalence of malaria in Zambezia, Mozambique: the protective effect of IRS versus increased risks due to pig-keeping and house construction.

Authors:  Emmanuel A Temu; Mike Coleman; Ana Paula Abilio; Immo Kleinschmidt
Journal:  PLoS One       Date:  2012-02-20       Impact factor: 3.240

10.  Host choice and multiple blood feeding behaviour of malaria vectors and other anophelines in Mwea rice scheme, Kenya.

Authors:  Simon M Muriu; Ephantus J Muturi; Josephat I Shililu; Charles M Mbogo; Joseph M Mwangangi; Benjamin G Jacob; Lucy W Irungu; Richard W Mukabana; John I Githure; Robert J Novak
Journal:  Malar J       Date:  2008-02-29       Impact factor: 2.979

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  29 in total

1.  A population-based study of the prevalence and risk factors of low-grade Plasmodium falciparum malaria infection in children aged 0-15 years old in northern Tanzania.

Authors:  S Peprah; H Dhudha; H Ally; N Masalu; E Kawira; C N Chao; I O Genga; M Mumia; P A Were; T Kinyera; I Otim; I D Legason; R J Biggar; K Bhatia; J J Goedert; R M Pfeiffer; S M Mbulaiteye
Journal:  Trop Med Int Health       Date:  2019-04-01       Impact factor: 2.622

Review 2.  Novel odor-based strategies for integrated management of vectors of disease.

Authors:  Agenor Mafra-Neto; Teun Dekker
Journal:  Curr Opin Insect Sci       Date:  2019-05-17       Impact factor: 5.186

3.  Veterinary endectocides for malaria control and elimination: prospects and challenges.

Authors:  Carlos Chaccour
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-12-28       Impact factor: 6.237

4.  Onchocerciasis transmission in Ghana: the human blood index of sibling species of the Simulium damnosum complex.

Authors:  Poppy H L Lamberton; Robert A Cheke; Martin Walker; Peter Winskill; J Lee Crainey; Daniel A Boakye; Mike Y Osei-Atweneboana; Iñaki Tirados; Michael D Wilson; Anthony Tetteh-Kumah; Sampson Otoo; Rory J Post; María-Gloria Basañez
Journal:  Parasit Vectors       Date:  2016-08-05       Impact factor: 3.876

5.  Mind the gap: residual malaria transmission, veterinary endectocides and livestock as targets for malaria vector control.

Authors:  Carlos Chaccour; Gerry F Killeen
Journal:  Malar J       Date:  2016-01-12       Impact factor: 2.979

6.  Eave tubes for malaria control in Africa: a modelling assessment of potential impact on transmission.

Authors:  Jessica L Waite; Penelope A Lynch; Matthew B Thomas
Journal:  Malar J       Date:  2016-09-02       Impact factor: 2.979

7.  Increasing the potential for malaria elimination by targeting zoophilic vectors.

Authors:  Jessica L Waite; Sunita Swain; Penelope A Lynch; S K Sharma; Mohammed Asrarul Haque; Jacqui Montgomery; Matthew B Thomas
Journal:  Sci Rep       Date:  2017-01-16       Impact factor: 4.379

8.  A Cross-Sectional Population Study of Geographic, Age-Specific, and Household Risk Factors for Asymptomatic Plasmodium falciparum Malaria Infection in Western Kenya.

Authors:  Sally Peprah; Constance Tenge; Isaiah O Genga; Mediatrix Mumia; Pamela A Were; Robert T Kuremu; Walter N Wekesa; Peter O Sumba; Tobias Kinyera; Isaac Otim; Ismail D Legason; Joshua Biddle; Steven J Reynolds; Ambrose O Talisuna; Robert J Biggar; Kishor Bhatia; James J Goedert; Ruth M Pfeiffer; Sam M Mbulaiteye
Journal:  Am J Trop Med Hyg       Date:  2019-01       Impact factor: 2.345

9.  Plasmodium falciparum malaria parasitaemia among indigenous Batwa and non-indigenous communities of Kanungu district, Uganda.

Authors:  Blánaid Donnelly; Lea Berrang-Ford; Jolène Labbé; Sabastian Twesigomwe; Shuaib Lwasa; Didacus B Namanya; Sherilee L Harper; Manisha Kulkarni; Nancy A Ross; Pascal Michel
Journal:  Malar J       Date:  2016-05-04       Impact factor: 2.979

Review 10.  malERA: An updated research agenda for diagnostics, drugs, vaccines, and vector control in malaria elimination and eradication.

Authors: 
Journal:  PLoS Med       Date:  2017-11-30       Impact factor: 11.069

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