Literature DB >> 24080637

Urban leptospirosis in Africa: a cross-sectional survey of Leptospira infection in rodents in the Kibera urban settlement, Nairobi, Kenya.

Jo E B Halliday, Darryn L Knobel, Kathryn J Allan, B Mark de C Bronsvoort, Ian Handel, Bernard Agwanda, Sally J Cutler, Beatrice Olack, Ahmed Ahmed, Rudy A Hartskeerl, M Kariuki Njenga, Sarah Cleaveland, Robert F Breiman.   

Abstract

Leptospirosis is a widespread but under-reported cause of morbidity and mortality. Global re-emergence of leptospirosis has been associated with the growth of informal urban settlements in which rodents are thought to be important reservoir hosts. Understanding the multi-host epidemiology of leptospirosis is essential to control and prevent disease. A cross-sectional survey of rodents in the Kibera settlement in Nairobi, Kenya was conducted in September-October 2008 to demonstrate the presence of pathogenic leptospires. A real-time quantitative polymerase chain reaction showed that 41 (18.3%) of 224 rodents carried pathogenic leptospires in their kidneys, and sequence data identified Leptospira interrogans and L. kirschneri in this population. Rodents of the genus Mus (37 of 185) were significantly more likely to be positive than those of the genus Rattus (4 of 39; odds ratio = 15.03). Questionnaire data showed frequent contact between humans and rodents in Kibera. This study emphasizes the need to quantify the public health impacts of this neglected disease at this and other urban sites in Africa.

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Year:  2013        PMID: 24080637      PMCID: PMC3854886          DOI: 10.4269/ajtmh.13-0415

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


Introduction

Leptospirosis has been described as the most geographically widespread and prevalent zoonosis in the world.1–3 It is caused by infection with different serovars of bacteria of the genus Leptospira. Human infection can lead to a range of clinical manifestations, from mild or asymptomatic infections to severe, life-threatening illness. Human disease is severely under reported as patients commonly present with non-specific symptoms, such as fever, headache and myalgia, and infection is difficult to diagnose by using either clinical or laboratory diagnostic criteria.2,4 Consequently, in many parts of the world, the public health impact of leptospirosis is largely undocumented.5–8 However, when leptospirosis is considered in clinical and epidemiologic evaluations of febrile populations, significant disease burdens are frequently demonstrated.4,9–11 Data from studies of febrile illness in many tropical regions indicate that leptospirosis can account for considerable proportions of febrile illnesses. Among patients hospitalized with acute febrile illness in northern Tanzania, 33.3% of 832 patients showed evidence of exposure to leptospires and 8.8% of 453 patients with paired serum samples had acute leptospirosis based on a ≥ 4-fold increase in microscopic agglutination test titer.4 Similarly, 15.5% of 773 febrile patients presenting at a hospital in Sri Lanka and 16% of patients in Egypt with acute febrile illness had acute leptospirosis based on seroconversion or the equivalent of a ≥ 4-fold increase in titer using an IgM enzyme-linked immunosorbent assay.10,12 In the Kibera informal settlement, where this study was conducted, acute febrile illness is a common syndrome, with an average of 2.7 episodes per person/year for children < 5 years of age and 0.58 episodes for persons ≥ 5 years of age based on household visit data.13 However, the proportion of febrile illnesses that are attributable to leptospirosis at this site is currently unknown. The published data on leptospirosis in Kenya are also limited. The World Health Organization Global Alert and Response System described a laboratory-confirmed outbreak that occurred at two schools in western Kenya in 2004 that involved more than 141 suspected cases and 8 deaths.14 Several patients assessed during an outbreak of acute febrile illness in northeastern Kenya in 2005 were positive for antibodies against Leptospira.15 Other published data on leptospirosis in Kenya date back to the 1960s and 1970s and describe human cases in several provinces,16–18 as well as isolation of Leptospira from rodents trapped in the Coastal Province and detection of antibodies against Leptospira in cattle, sheep, and donkeys sampled across the country.19 Leptospirosis is maintained through chronic renal infection of maintenance hosts, which shed leptospires in their urine. Leptospira serovars can infect several host species and different host species can carry several serovars.3 Rodents are believed to be the most important maintenance hosts for a variety of serovars, but a wide range of mammals, including domestic dogs, cattle, pigs and sheep, can also act as hosts for human pathogenic leptospires.2 Globally, leptospirosis is recognized as a re-emerging infection and has been described as a paradigm for an urban health problem emerging as a consequence of the growth of slums.20 The un-planned nature of slums with their poor sanitation infrastructure often creates conditions that promote the presence of rodents and favors the maintenance of leptospirosis.20,21 The risk of human leptospirosis infection can vary within slum environments. Studies conducted in Salvador, Brazil indicate that exposure risk clusters at the household level22 and that rat sightings in and around the household are a risk factor for exposure to leptospires.20,23 As a starting point for advancing our understanding and awareness of leptospirosis in the Kibera settlement in Nairobi, Kenya, we performed a study to determine patterns of Leptospira infection in rodent hosts and human-rodent interactions. Specifically, the objectives were to identify the rodent species that were present at this site, detect the presence of pathogenic Leptospira spp. in the Kibera rodent population, and describe the nature and frequency of contacts between humans and rodents.

Materials and Methods

Study setting.

A cross-sectional survey of the rodent population within the Kibera study site was conducted during September–October 2008. The study site lies within the Kibera settlement in Nairobi, Kenya and includes the study area of an ongoing population-based infectious disease surveillance study conducted by the Kenya Medical Research Institute and Centers for Disease Control and Prevention.13 The site has a human population density of approximately 77,000 persons/km2 2,13 and is characterized by poor quality housing, poor sanitation, and limited access to clean water.24

Rodent trapping.

The study site was divided into five zones (A–E) on the basis of existing administrative boundaries (Figure 1). A 50 meter × 50 meter trapping area was defined within each zone by using a map of all built structures and aligning one side of the area to an existing straight path or building edge. Approximately every other household within each area was approached for participation in the study. Where possible, traps were set in the enrolled households for all trapping nights in each area. When traps could not be replaced at enrolled households, additional households were enrolled to maintain a target of 50 traps per night. Within each zone, medium-sized (23 cm × 7.5 cm × 9 cm) folding Sherman live traps (H. B. Sherman Traps Inc., Tallahassee, FL) were placed for a minimum of two and a maximum of six nights to achieve a target of approximately 50 rodents per zone. Traps were baited with dried fish and placed indoors on the floor against walls and under furniture. In most cases, traps were placed in the early afternoon and checked the following morning. Traps that contained rodents were transported to a central processing site and replaced in the same location during the same day. All other traps were re-baited as necessary and replaced.
Figure 1.

Map of the Kibera study site. Small gray filled polygons indicate individual buildings/structures within the study site. Thick gray lines and writing indicate pre-existing administrative boundaries within the site, which were used to define the five study zones (labeled at the top of the figure). The gray squares within each zone illustrate the location of the rodent trapping grids. The scale and orientation of the figure are indicated (bottom left).

Map of the Kibera study site. Small gray filled polygons indicate individual buildings/structures within the study site. Thick gray lines and writing indicate pre-existing administrative boundaries within the site, which were used to define the five study zones (labeled at the top of the figure). The gray squares within each zone illustrate the location of the rodent trapping grids. The scale and orientation of the figure are indicated (bottom left). Trapped rodents were humanely euthanized by halothane (Abbott Laboratories, Abbott Park, IL) overdose.25 Species identification was made on the basis of morphometric data at the National Museums of Kenya, where all specimens were submitted for archiving (Accession nos. NMK168363–NMK168569 and NMK168633–NMK168664). Whole kidneys were removed by using sterile technique, transferred to sterile cryovials, and kept on ice before storage. Kidney tissues were stored at –80°C and shipped to the University of East London, United Kingdom, in liquid nitrogen.

Questionnaire survey.

A standardized questionnaire-based survey was conducted to determine the nature and frequency of contacts between rodents and persons in and around households. Questionnaires were administered at 100 households in September–October 2008. In each trapping area, 20 households were selected at random for questionnaire administration from those that had already been recruited for rodent sampling.

Laboratory diagnostics.

A central portion of approximately 25 mg of each kidney was processed for DNA extraction at the University of East London. Tissues were digested by using 180 μL of buffer ATL (QIAGEN, Hilden Germany) and 20 μL of proteinase K (QIAGEN), mixed and incubated overnight at 56°C, and heated at 80°C for 25 minutes to inactivate any pathogens present in the samples before DNA extraction. All tissues were processed for DNA extraction by using the DNeasy Blood and Tissue Kit (QIAGEN) according to the manufacturer's protocol for Purification of Total DNA from Animal Tissues (Spin-Column Protocol) and a final elution volume of 200 μL.26 DNA extracts were shipped to the KIT Biomedical Research Laboratories (Amsterdam, The Netherlands) for further testing. All kidney DNA extracts were diluted 1:5 in sterile water and tested in triplicate by using the SYBR Green secY real-time quantitative polymerase chain reaction (qPCR) protocol for detection of pathogenic Leptospira,27 including melting curve analysis to check the specificity of the amplicons. Samples were classified as positive if two or more test runs yielded an amplification curve with a cycle threshold ≤ 38 and a Tm value between 79.0 and 84.5 °C inclusive. Samples for which one of three initial reactions was positive were retested in triplicate and classified as positive if the repeat run resulted in at least one positive reaction. Two approaches were used to characterize the Leptospira-positive samples. Twenty-eight samples were tested by using an adapted Taqman real-time PCR that separates Leptospira species into two clades using clade-specific probes targeting the secY gene.28,29 Leptospira-positive samples were also submitted for sequencing of the products after using the SYBR Green secY qPCR.28

Statistical analyses.

Generalized linear models were used to identify variables associated with the infection status of trapped rodents. In all models, the response variable was a binary measure of infection status (positive or negative) based on the results of the qPCR analyses of kidney samples. The covariates considered were rodent genus (Rattus or Mus), trapping zone (A–E) and sex (male or female). All statistical analyses were conducted in R.30 The phylogenetic analysis included 80 sequences (Table 1 and Figure 2) and was conducted by using MEGA5.31 The phylogenetic tree was drawn using the neighbor-joining method.32 Evolutionary distances were computed using the maximum composite likelihood method33 with distances expressed as the number of basepair substitutions per site.
Table 1

Leptospira strains and samples used in the secY sequence-based phylogeny*

CodeSerovarSerogroupStrainSpecies
Bif.SE02PatocSemarangaPatoc IL. biflexa
Bor.BM02BallumBallumS102L. borgpetersenii
Bor.HB06JulesHebdomadisJulesL. borgpetersenii
Bor.HB10MiniMiniSariL. borgpetersenii
Bor.HB22BalcanicaSejroe1627 BurgasL. borgpetersenii
Bor.HB23PolonicaSejroe493 PolandL. borgpetersenii
Bor.HB30NyanzaSejroeKibosL. borgpetersenii
Bor.HB35NeroSejroeGamsulinL. borgpetersenii
Bor.JV03PoiJavanicaPoiL. borgpetersenii
Bor.JV04SorexjalnaJavanicaSorex JalnaL. borgpetersenii
Bor.PY13KwalePyrogenesJuluL. borgpetersenii
Bor.TA01TarassoviTarassoviPerepelitsinL. borgpetersenii
Bor.TA11TunisTarassoviP 2/65L. borgpetersenii
Bor.TA20DikkeniSejroeMannuthiL. borgpetersenii
Bor.TA21MoldaviaeBataviae114-2L. borgpetersenii
Int.AS06FugisAustralisFudgeL. interrogans
Int.AS07BangkokAustralisBangkok D-92L. interrogans
Int.AT08SentotDjasimanSentotL. interrogans
Int.AT11DjasimanAutumnalisDjasimanL. interrogans
Int.BT02BataviaeBataviaeVan TienenL. interrogans
Int.BT03PaidjanBataviaePaidjanL. interrogans
Int.CA01CanicolaCanicolaHond Utrecht IVL. interrogans
Int.CA05JonsisCanicolaJonesL. interrogans
Int.CA07BroomiCanicolaPataneL. interrogans
Int.CA12PortlandvereCanicolaMy 1039L. interrogans
Int.CA13KuwaitCanicola136/2/2L. interrogans
Int.HB01HebdomadisHebdomadisHebdomadisL. interrogans
Int.HB18MedanensisSejroeHond HCL. interrogans
Int.HB19WolffiSejroe3705L. interrogans
Int.IC01IcterohaemorrhagiaeIcterohaemorrhagiaeRGAL. interrogans
Int.IC03MankarsoIcterohaemorrhagiaeMankarsoL. interrogans
Int.IC04NaamIcterohaemorrhagiaeNaamL. interrogans
Int.LaiLaiIcterohaemorrhagiaeLaiL. interrogans
Int.PO01PomonaPomonaPomonaL. interrogans
Int.PO03MonjakovPomonaMonjakovL. interrogans
Int.PO06KennewickiPomonaLT 1026L. interrogans
Int.PY04BiggisPyrogenesBiggsL. interrogans
Int.PY09ManilaePyrogenesLT 398L. interrogans
Int.PY14CamloPyrogenesLT 64-67L. interrogans
Kir.AT07BulgaricaAutumnalisNicolaevoL. kirschneri
Kir.AT19ButemboAutumnalisButemboL. kirschneri
Kir.AT20BimAutumnalis1051L. kirschneri
Kir.CA02GaltoniCanicolaLT 1014L. kirschneri
Kir.CA03BafaniCanicolaBafaniL. kirschneri
Kir.CA04KamitugaCanicolaKamitugaL. kirschneri
Kir.CY01CynopteriCynopteri3522 CL. kirschneri
Kir.GR03RatnapuraGrippotyphosaWumalasenaL. kirschneri
Kir.GR04VanderhoedeniGrippotyphosaKipod 179L. kirschneri
Kir.HB03KambaleHebdomadisKambaleL. kirschneri
Kir.HB09KaburaHebdomadisKaburaL. kirschneri
Kir.IC09NdahambukujeIcterohaemorrhagiaeNdahambukujeL. kirschneri
Kir.IC16BogvereIcterohaemorrhagiaeLT 60-69L. kirschneri
Kir.PO04MozdokPomona5621L. kirschneri
Kir.PO07TsaratsovoPomonaB 81/7L. kirschneri
Kir.PO08KunmingPomonaK 5L. kirschneri
Nog.AT18HuallagaDjasimanM 7L. noguchii
Nog.BT09ArgentiniensisBataviaePeludoL. noguchii
Nog.TA18CarimaguaShermani9160L. noguchii
San.BT05KobbeBataviaeCZ 320L. santarosai
San.BT06BalboaBataviae735 UL. santarosai
San.HB07MaruHebdomadisCZ 285L. santarosai
San.BT08BrasiliensisBataviaeAn 776L. santarosai
San.HB33GuaricuraSejroeBov. GL. santarosai
San.HB34GoianoHebdomadisBovino 131L. santarosai
San.IC12WeaveriSarminCZ 390L. santarosai
San.PO05TropicaPomonaCZ 299L. santarosai
San.PY06BaguaPyrogenesMW-12L. santarosai
San.PY07AlexiPyrogenesHS-616L. santarosai
San.PY11SanmartiniPyrogenesCT 63L. santarosai
San.PY12PrincestownPyrogenesTRVL 112499L. santarosai
San.TA02BakeriTarassoviLT 79L. santarosai
San.TA03AtlantaeTarassoviLT 81L. santarosai
San.TA07GatuniTarassovi1473 KL. santarosai
San.TA08AtchafalayaTarassoviLSU 1013L. santarosai
San.TA10RamaTarassovi316L. santarosai
Wei.JV05CoxiJavanicaCoxL. weilii
Wei.TA13LangatiTarassoviM39039L. weilii
ARK25UndefinedUndefinedL. interrogans
ARK59UndefinedUndefinedL. kirschneri
ARK214UndefinedUndefinedL. interrogans

Samples with code starting ARK are described in this report. Details of the other strains included in this analysis have been reported.28

Figure 2.

Phylogenetic tree of partial secY sequences from Kibera samples and Leptospira reference strains. Branch lengths are shown in units of number of substitutions per site. Details of the sequences and strains included are given in Table 1. Scale bar indicates nucleotide substitutions per site.

Phylogenetic tree of partial secY sequences from Kibera samples and Leptospira reference strains. Branch lengths are shown in units of number of substitutions per site. Details of the sequences and strains included are given in Table 1. Scale bar indicates nucleotide substitutions per site.

Ethics statement.

Written informed consent for sampling and questionnaire administration was obtained from representatives of the study households. The protocols and consent forms were reviewed and approved by the Animal Care and Use and Ethical Review Boards of the Kenya Medical Research Institute (#1191) according to institutional guidelines. The study protocols were also approved by the Institutional Animal Care and Use Committee and Institutional Review Board of the U.S. Centers for Disease Control and Prevention (#5410) and complied with the Public Health Service Policy on Humane Care and Use of Laboratory Animals.

Results

A total of 237 rodents were trapped from 948 trap placements in 270 Kibera households, with an overall trap success of 24.9% (95% confidence interval [CI] = 22.2–27.8%). Most trapped rodents were Mus musculus (n = 194), followed by Rattus rattus (n = 33) and R. norvegicus (n = 10). Data on the sex of trapped rodents was recorded for 194 rodents, 108 of which were female and 86 of which were male. The overall trap success and relative proportion of Mus spp. in the trapped population both varied across the five zones of the study site (Table 2).
Table 2

Rodent trapping summary indicating the trapping effort, species trapped, and trap success in each trapping zone within the Kibera study site

Trapping zoneNo. trap attemptsNo. (%) rodents caught*Trap success (%)
Rattus spp.Mus spp.
A152 nights471 (94.7)49.3
30 days07 (100)23.3
B98 nights640 (87.0)46.9
C225 nights1817 (48.6)15.6
44 days02 (100)4.5
D149 nights237 (94.9)25.5
E250 nights1320 (60.6)13.2
Total94843194 (81.9)24.9

Number of rodents trapped include all individuals, including one case (Mus spp. in zone D) in which two rodents were trapped during the same trap attempt.

Trap success calculations are based on the number of successful trap attempts rather than the number of rodents trapped.

Pathogenic leptospires were detected in the kidneys of 18.3% (41 of 224; 95% CI = 13.5–24.0%) of rodents by qPCR. Only 4 (10.3%) of 39 Rattus tested (95% CI = 2.9–24.2%) were positive (n = 3 R. rattus and n = 1 R. norvegicus) compared with 37 (20.0%) of 185 M. musculus (95% CI = 14.5–26.5%). The kidneys of 15 (17.9%) of 84 (95% CI = 10.4–27.7%) male rodents and 14 (13.9%) of 101 (95% CI = 7.8–22.2%) female rodents were positive for pathogenic leptospires by qPCR. Successful amplification of six Leptospira-positive samples was achieved by using the Taqman real-time PCR targeting the secY gene. All six samples were collected from M. musculus rodents and all were classified into clade 1, which includes L. kirschneri, L. interrogans, L. noguchi, and pathogenic strains of L. meyeri.28,29 Sequence data were obtained for three samples, two of which were classified as clade 1 by the Taqman PCR. Phylogenetic analysis indicated that two of these sequences are L. interrogans, and one was identified as L. kirschneri (Table 1). The nucleotide sequences generated in this study were deposited in GenBank under accession numbers (ARK25 = KF431859, ARK59 = KF431860, and ARK214 = KF431858). One hundred questionnaires were completed and most respondents reported daily sightings of rodents and their excreta in and around Kibera households (Table 3). Missing values (including responses of don't know) were excluded from proportion calculations. Sixty percent of respondents reported seeing groups of five or more rodents in their house on a daily basis, and 66% of respondents reported weekly or daily sightings of fresh excreta in the house (Table 3).
Table 3

Household questionnaire data summary indicating the location, type and frequency of different rodent sighting measures within the Kibera study households

Rodent sightingsTypeFrequency (%)
LocationDailyWeeklyMonthlyNever
In house1–4 rodents6916213
≥ 5 rodents6011128
rodent excreta5313034
Around/outside the house1–4 rodents708516
≥ 5 rodents579430
rodent excreta4811239

Statistical analysis.

The generalized linear model of infection status revealed that rodents of the genus Mus were significantly more likely to be positive for pathogenic leptospires than rodents of the genus Rattus (odds ratio = 15.03, 95% CI = 2.61–86.62) (Table 4). There was also an association between trapping zone and rodent qPCR status, with rodents trapped towards the east of the site (Zones D and E) more likely to be qPCR positive (Table 4). There was no indication of an association between rodent sex and infection status.
Table 4

Results of multivariate generalized linear model analysis of risk factors for positive rodent quantitative polymerase chain reaction status within the trapped Kibera rodent population*

VariableLevelOR95% CINo.P
Intercept1.63 × 10-7
Trapping zoneA82
B0.940.23–4.08460.96
C3.020.76–12.03370.12
D4.921.65–14.63390.004
E98.5818.03–539.03331.18 × 10-7
GenusRattus43
Mus15.032.61–86.621940.002

OR = odds ratio, CI = confidence interval.

Discussion

Pathogenic leptospires were identified in the Kibera rodent population. Nearly one in five rodents trapped within houses in Kibera had pathogenic leptospires in their kidneys and were thus potentially capable of shedding leptospires into the environment. The questionnaire data showed sightings of multiple rodents and their excreta within households on a daily basis by most study respondents. Previous studies at other urban slum sites have identified rodent sightings around the household as a risk factor for human Leptospira exposure.20,23 As humans acquire leptospirosis through direct or indirect contact with the urine of an infected host, these data, together indicate that the risk of human exposure to pathogenic Leptospira spp., is likely to be substantial in Kibera. According to the results obtained with the Taqman PCR, all positive samples belonged to clade 1, consisting of L. interrogans, L. kirschneri, L noguchii, and L. meyeri. Pathogenic strains of L. meyeri and L.noguchii are predominantly confined to the Americas and have not been demonstrated in Africa and/or are of minor importance for the epidemiology of leptospirosis. Thus, for samples from Africa, placement within clade 1 will support classification as either L. interrogans or L. kirschneri. Consistent with these results, phylogenetic analysis showed that strains belonging to the species L. interrogans and L. kirschneri are carried by the Kibera Mus population. Phylogenetic speciation of Leptospira based on analysis of the secY gene used in this study has been described and is highly discriminatory.27,28,34 Confirmation of the range of pathogenic Leptospira maintained in Kibera animal populations will be an important area for future research. The probability of Leptospira infection was significantly higher in Mus trapped in Kibera than in Rattus. Most previous studies of urban leptospirosis have implicated rodents, and specifically Rattus spp., as the maintenance reservoirs for human pathogenic Leptospira spp.23,35–37 The use of Sherman traps may provide one explanation for the relatively low prevalence in the Rattus population sampled in this study. These traps may select for smaller (and younger) Rattus rodents, in which the Leptospira infection prevalence in kidneys may be lower than in adults.38–40 The mass of the R. norvegicus and R. rattus rodents trapped in this study ranged from 25 to 194 grams and from 12.5 to 122 grams, respectively, indicating that all of the Rattus rodents trapped were juveniles.39,40 The prevalence of infection detected in Rattus rodents in this study may therefore be an underestimate of the prevalence in the Rattus population as a whole. Interestingly, the qPCR data showed a high infection prevalence in rodents of the genus Mus, which may be important hosts in the epidemiology of leptospirosis in Kibera. This finding highlights the complex multi-host epidemiology of leptospirosis and the importance of considering the role of rats, mice, and other animal hosts in the maintenance and transmission of infection when evaluating human risks. There is a large population of domestic dogs in Kibera and their density within this study site has been estimated at 740–1,086 dogs/km2.41 The capacity for dogs to act as reservoir hosts for leptospirosis is well described in other settings,2 and the possible role of dogs and other potential reservoirs in the epidemiology of urban leptospirosis should not be discounted.42 Our study focused on rodent presence and sightings in and around the household environment, which have been identified as risk factors for human exposure risks in slum settings. Previous studies in urban areas have also identified contaminated surface waters as a source of human exposure risk36,43 and household flooding risk and proximity to sewers as predictors of human exposure risk.20 The routes of indirect exposure of humans to leptospires shed into environmental water sources by animal hosts should also be considered in future studies to evaluate human disease risks. The multivariate model indicates that rodents trapped in zones D and E, to the east of the site, were significantly more likely to be positive than rodents trapped in the reference zone A (Figure 1). The total area of the population-based infectious disease surveillance study site, within which these five trapping areas were established, is just 0.38 km2 2,13 and these data indicate substantial variation in the prevalence of leptospirosis in rodents, even over the relatively short distances. This zone effect was seen when the rodent genus variable was also included in the model, indicating that this effect is not entirely attributable to differences in the distribution of these different hosts between zones. Within the Kibera site, the terrain slopes down towards a river, which runs along the southern boundary of the site, and much of the eastern part of the site is at lower elevation than the western part. Fine-scale spatial variation in human exposure risk has been demonstrated at other slum sites20,22 and geographic variables, such as reduced elevation, flooding risk, proximity to drainage, and proximity to rubbish dumps, have been described as risk factors for human exposure to Leptospira spp.20,23 The influence of geographic variables upon animal and human infection risk at the Kibera site and the spatial correspondence between rodent prevalence and human risk warrant further investigation. This study had some limitations. The kidney extracts were diluted to reduce the influence of qPCR inhibitors present in these kidney tissue samples. This dilution step, as well as the effect of any residual inhibition in tissue extracts, could result in false-negative qPCR results. Therefore, 18.3% is considered to be a conservative estimate of true prevalence in the Kibera rodent population. Renal colonization as high as 80.3% has been detected by culture (83.9% by PCR) among rats sampled in an urban setting in Salvador, Brazil.39 Other studies have reported carriage rates of 35.3% in urban rodent populations in Madagascar through combined use of molecular, serologic, and culture approaches;44 20% in urban R. norvegicus trapped in Colombia by culture;37 21.7% R. norvegicus trapped in an urban slum in Peru by PCR;36 and 20% of rodents trapped near urban areas in Peru by PCR.45 Culture and isolation of Leptospira strains were beyond the scope of this study but are essential to enable isolate typing and are a priority for future research at this site. Characterization of Leptospira serovars present in animal populations in Kibera may help to shed light on the relative importance of different maintenance hosts in this setting, as well as contributing to the development and validation of locally appropriate diagnostic tests for clinical use. In this study, we have demonstrated the presence of pathogenic leptospires in the Kibera rodent population. Although the epidemiology of leptospirosis is complex and humans can acquire infection through indirect or direct contacts with a variety of animal reservoir hosts, rodents are frequently identified as important reservoirs in urban slum settings particularly, and household rodent sighting frequencies have been shown to correlate with human exposure risks in other urban slum settings. Our findings, which are consistent with reports from slum sites in South America20 and Asia,11 indicate that human exposure to pathogenic Leptospira spp. may be considerable in Kibera. These data contribute to the growing body of evidence suggesting that leptospirosis may be an under-recognized but important cause of human illness, specifically in urban slum populations. Despite increasing recognition of the clinical threat posed by leptospirosis, the impact of leptospirosis on the health and productivity of animal and human populations continues to be widely unrecognized and under-reported. In many human populations, including Kibera, the burden of undifferentiated febrile illness is significant.13 Broader diagnostic testing, including consideration of acute leptospirosis, is needed to determine the causes of these illnesses. Ultimately, these data will be useful to raise awareness of leptospirosis among clinicians and promote appropriate clinical management of cases.
  39 in total

1.  Prospects for inferring very large phylogenies by using the neighbor-joining method.

Authors:  Koichiro Tamura; Masatoshi Nei; Sudhir Kumar
Journal:  Proc Natl Acad Sci U S A       Date:  2004-07-16       Impact factor: 11.205

2.  The socio-demographic, environmental and reservoir factors associated with leptospirosis in an urban area of north-eastern Brazil.

Authors:  D S C Oliveira; M J B Guimarães; J L Portugal; Z Medeiros
Journal:  Ann Trop Med Parasitol       Date:  2009-03

3.  Clinical leptospirosis in Kenya (II): A field study in Nyanza Province.

Authors:  A de Geus; J W Wolff; V E Timmer
Journal:  East Afr Med J       Date:  1977-03

4.  The neighbor-joining method: a new method for reconstructing phylogenetic trees.

Authors:  N Saitou; M Nei
Journal:  Mol Biol Evol       Date:  1987-07       Impact factor: 16.240

5.  Detection of pathogenic Leptospira spp. infections among mammals captured in the Peruvian Amazon basin region.

Authors:  J E Bunnell; C L Hice; D M Watts; V Montrueil; R B Tesh; J M Vinetz
Journal:  Am J Trop Med Hyg       Date:  2000 Nov-Dec       Impact factor: 2.345

6.  Population-based case-control investigation of risk factors for leptospirosis during an urban epidemic.

Authors:  Urmimala Sarkar; Simone F Nascimento; Rosan Barbosa; Ridalva Martins; Hector Nuevo; Ippolytos Kalofonos; Ippolytos Kalafanos; Itamar Grunstein; Brendan Flannery; Juarez Dias; Lee W Riley; Mitermayer G Reis; Albert I Ko
Journal:  Am J Trop Med Hyg       Date:  2002-05       Impact factor: 2.345

7.  Usefulness of serologic analysis as a predictor of the infecting serovar in patients with severe leptospirosis.

Authors:  Paul N Levett
Journal:  Clin Infect Dis       Date:  2003-01-29       Impact factor: 9.079

8.  Carriage of Leptospira interrogans among domestic rats from an urban setting highly endemic for leptospirosis in Brazil.

Authors:  Marcos Tucunduva de Faria; Michael S Calderwood; Daniel A Athanazio; Alan J A McBride; Rudy A Hartskeerl; Martha Maria Pereira; Albert I Ko; Mitermayer G Reis
Journal:  Acta Trop       Date:  2008-07-31       Impact factor: 3.112

9.  Human leptospirosis caused by a new, antigenically unique Leptospira associated with a Rattus species reservoir in the Peruvian Amazon.

Authors:  Michael A Matthias; Jessica N Ricaldi; Manuel Cespedes; M Monica Diaz; Renee L Galloway; Mayuko Saito; Arnold G Steigerwalt; Kailash P Patra; Carlos Vidal Ore; Eduardo Gotuzzo; Robert H Gilman; Paul N Levett; Joseph M Vinetz
Journal:  PLoS Negl Trop Dis       Date:  2008-04-02

10.  Household transmission of leptospira infection in urban slum communities.

Authors:  Elves A P Maciel; Ana Luiza F de Carvalho; Simone F Nascimento; Rosan B de Matos; Edilane L Gouveia; Mitermayer G Reis; Albert I Ko
Journal:  PLoS Negl Trop Dis       Date:  2008-01-30
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  19 in total

Review 1.  Advances and challenges in barcoding pathogenic and environmental Leptospira.

Authors:  Vanina Guernier; Kathryn J Allan; Cyrille Goarant
Journal:  Parasitology       Date:  2017-07-18       Impact factor: 3.234

2.  Molecular Detection of Leptospira spp. in Rodents Trapped in the Mozambique Island City, Nampula Province, Mozambique.

Authors:  Isac Comia; Ana Carina Madureira; Robert T Schooley; Maria Luísa Vieira; Emília Virgínia Noormahomed
Journal:  EC Microbiol       Date:  2018-11-27

3.  Leptospira spp in Rodents from Peridomestic Sites in Endemic Regions of Nicaragua.

Authors:  Byron Flores; Jessica Sheleby-Elias; Tania Pérez-Sánchez; Rebecca Fischer; José Múzquiz; Héctor Fuertes; Nabil Halaihel; William Jirón; Christiane Duttmann
Journal:  Ecohealth       Date:  2021-04-08       Impact factor: 4.464

Review 4.  Global Morbidity and Mortality of Leptospirosis: A Systematic Review.

Authors:  Federico Costa; José E Hagan; Juan Calcagno; Michael Kane; Paul Torgerson; Martha S Martinez-Silveira; Claudia Stein; Bernadette Abela-Ridder; Albert I Ko
Journal:  PLoS Negl Trop Dis       Date:  2015-09-17

5.  Urban Market Gardening and Rodent-Borne Pathogenic Leptospira in Arid Zones: A Case Study in Niamey, Niger.

Authors:  Gauthier Dobigny; Madougou Garba; Caroline Tatard; Anne Loiseau; Max Galan; Ibrahima Kadaouré; Jean-Pierre Rossi; Mathieu Picardeau; Eric Bertherat
Journal:  PLoS Negl Trop Dis       Date:  2015-10-05

6.  Prevalence and diversity of small mammal-associated Bartonella species in rural and urban Kenya.

Authors:  Jo E B Halliday; Darryn L Knobel; Bernard Agwanda; Ying Bai; Robert F Breiman; Sarah Cleaveland; M Kariuki Njenga; Michael Kosoy
Journal:  PLoS Negl Trop Dis       Date:  2015-03-17

7.  First Isolates of Leptospira spp., from Rodents Captured in Angola.

Authors:  Elsa Fortes-Gabriel; Teresa Carreira; Maria Luísa Vieira
Journal:  Am J Trop Med Hyg       Date:  2016-02-29       Impact factor: 2.345

Review 8.  Urbanization and Disease Emergence: Dynamics at the Wildlife-Livestock-Human Interface.

Authors:  James M Hassell; Michael Begon; Melissa J Ward; Eric M Fèvre
Journal:  Trends Ecol Evol       Date:  2016-10-28       Impact factor: 17.712

9.  Global urbanization and the neglected tropical diseases.

Authors:  Peter J Hotez
Journal:  PLoS Negl Trop Dis       Date:  2017-02-23

Review 10.  Epidemiology of Leptospirosis in Africa: A Systematic Review of a Neglected Zoonosis and a Paradigm for 'One Health' in Africa.

Authors:  Kathryn J Allan; Holly M Biggs; Jo E B Halliday; Rudovick R Kazwala; Venance P Maro; Sarah Cleaveland; John A Crump
Journal:  PLoS Negl Trop Dis       Date:  2015-09-14
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