Emerging Human Fascioliasis in India: Review of Case Reports, Climate Change Impact, and Geo-Historical Correlation Defining Areas and Seasons of High Infection Risk
Abstract
:1. Introduction
- Adult stage and egg shedding: The definitive host is infected by ingestion of metacercariae [13]. After excystment, juvenile flukes migrate from the intestine to the liver, where they develop into adult flukes, which attain sexual maturity in 3–4 months inside biliary canals and/or the gallbladder (invasive, migratory, or acute phase), following a life span of between 9 and 13.5 years (biliary, obstructive, or chronic phase), during which adults produce eggs that reach the external milieu by way of the bile, intestines, and stool. This phase is crucial for the maintenance of prevalences and intensities of the disease in an endemic area [14,15], and for its wide intercontinental geographical spread, as occurred with human-guided movements of pack animals for thousands of years from the Neolithic Age [1], and as recently occurred due to livestock management in the countrywide spread of human fascioliasis in Vietnam without any influence of climate change [16].
- Egg and miracidium: The transition between definitive mammal host and intermediate snail host includes the long resistance phase of the egg and the short active phase of the miracidium. The fluke eggs shed with the mammalian feces will continue their development in freshwater of appropriate physicochemical characteristics.
- Intramolluscan development and cercariae shedding: The development at snail level includes miracidium penetration, the sporocyst stage, redial generation, the production of cercariae, and shedding of the latter into water.
- Cercariae and metacercariae: The transition between snail and mammal hosts includes the short swimming phase of cercariae and the long resistance phase of metacercariae. Cercariae are shed by the snail and swim for a short time until contacting a solid support, mostly leaves of water plants above or below the water line, to attach and give rise to the metacercarial cyst, which becomes infective within 24 h.
2. Materials and Methods
2.1. Literature Search for Human Infection Reports
2.2. Review and Quality Assessment
2.3. Climate Analyses
2.4. Checking and Completion of Missing Data
2.5. Climatic Forecast Indices
2.6. Spatial and Statistical Analyses
2.7. Geo-Historical Analyses
3. Results
3.1. Review of Case Reports
3.2. Climatic Analyses
- The analytical studies have allowed us to understand the influences of climate factors on the transmission of fascioliasis throughout India and of climate change on the emergence of human fascioliasis in India:
- The climate diagrams covering the 1980–2020 period show that temperatures are higher than the minimum fascioliasis transmission thresholds of both F. gigantica and F. hepatica along a whole-year period (Figure 5A).
- The Wb-bs climatic forecast index analyzed throughout the aforementioned four-decade period indicates that fascioliasis transmission in India follows a marked seasonal pattern, including a potential transmission window from June–July up to October–November, with peaks between September and October. This applies for both F. gigantica (Figure 5B) and F. hepatica (Figure 5C).
- The analysis of the monthly values of the Wb-bs risk index along the 1980–2020 period shows a gradual, progressively increasing value for both F. gigantica (Figure 6a) and F. hepatica (Figure 6b) in the meteorological stations located in the four areas where most human fascioliasis patients have been diagnosed: meteorological station No. 25 of Lucknow Amausi (Uttar Pradesh), station No. 4 of Balasore (in Odisha, very close to West Bengal), station No. 2 of Ahmedabad (Gujarat), and station No. 10 of Santacruz Mumbai (Maharashtra).
- The aforementioned marked seasonality and progressively increasing Wb-bs value therefore appear to be related to precipitation and surface water availability, allowing for lymnaeid snail vector activity and liver fluke transmission, and, consequently, human fascioliasis infection risk. An evident pattern is observed when considering the mean monthly precipitation by decade (Figure 7). The mean monthly precipitation presents a marked increase in every meteorological station, and is particularly evident after 1980 (Figure 7a), whereas the total accumulated precipitation by decade evinces a negative trend in almost every location assessed (Figure 7b).
3.3. Geo-Historical Assessments
3.3.1. The Grand Trunk Road
3.3.2. Southward Connections from the Grand Trunk Road
3.3.3. Northward Connections from the Grand Trunk Road
3.3.4. Geographically Extreme Connections from the Grand Trunk Road
4. Discussion
4.1. Human Infection Reports
- (A)
- Specific diagnosis: In patients in whom the causal agent was classified at species level, the high number of cases ascribed to F. hepatica is surprising. Indeed, the original Fasciola species of the whole subcontinent of India is F. gigantica, except in the northern high-altitude areas, where F. hepatica is known to occur, such as in (i) the western Kashmir valley, (ii) the area of Sikkim located between Nepal, Bhutan, and Bangladesh, and (iii) the eastern state of Arunachal Pradesh [1].
- (B)
- Geographical origin of the infection: The second problem found in almost all reports concerns the absence of the locality where the patient was living. In several reports, only the state of origin of the patient is given [35,39,50,53,56], and for 15 patients diagnosed in the hospital of Chennai between 2010 and 2016, it is only noted that they were from “northeastern India,” without any detail about even the state [45].
- (C)
- Potential infection sources: Another piece of information usually lacking concerns data about the infection source, obtained during patient anamnesis. This makes it difficult to assess epidemiological interpretations regarding the infection sources of highest risk in India. There has been no way, except in a few cases, to assess whether certain traditional foods, attitudes, habits, behavior, housing, social aspects, or professional activities, such as those of livestock management practices or farmers working in field cultures of vegetables needing intense irrigation, may be linked to disease transmission and infection sources in India, as is known in other countries [10].
- (D)
- Family/community infections: Except in a case of a Gujarati male patient whose wife was also diagnosed as being infected by Fasciola [54], in no other report were efforts made to verify whether other members of the family or community were also infected by liver flukes. In fascioliasis, subjects living close to others share the infection probability because of the use of the same traditional foods, attitudes, habits, behavior, housing, social aspects, and livestock management practices, mainly in rural areas but also in urban areas where metacercaria-carrying vegetables are sold in uncontrolled city markets or people share the same piped water supply at home [4,10,105].
4.2. Clinical Pictures, Symptomatology, and Pathology
- (A)
- Absence of massive infections: In no fascioliasis patient infected in India were numerous liver flukes reported. This resembles the situation in Vietnam [16,107], but differs from the high intensities found in children of countries such as Bolivia [10,108,109,110], Peru [111,112], and Egypt [105]. The usual low intensity in Indian patients may indicate the absence of vegetables carrying high concentrations of attached metacercariae and the absence of reinfections leading to fluke accumulation because of the lack of premunition in human fascioliasis [113], with both absences suggesting low local transmission rates. This would indeed fit a situation of the first step of an emerging trend, as concluded when compared to the long period before 1992 in which only two cases were reported (Figure 1).
- (B)
- Early diagnosis of most patients: In 28 patients, the time elapsed between symptom onset and diagnosis is noted. In only six cases was it of one year or longer (12 months: 1 case; 18 months: 1; 2 years: 1; 3 years: 2; 5 years: 1). In the remaining cases, this interval varied between 10 days and 7 months. This early diagnosis suggests that many patients were probably (i) in the invasive, migratory or acute phase, which explains the absence of eggs in stool, and duodenal and biliary aspirates, and justifies the cases diagnosed based on the clinical pictures, image methods, and/or serological techniques, or (ii) at the beginning of the biliary, obstructive, or chronic phase. This would underlie the still relatively small size of the flukes recovered from the patients, which could justify potential confusion regarding still-growing specimens of F. gigantica with F. hepatica. The usual early diagnosis of patients in India resembles the situation in Vietnam, where early diagnosis was facilitated by radio broadcasting [16] and explains the extreme rarity of disorders that typically appear in the long-term advanced chronicity of fascioliasis [107]. The opposite situation of long-term delayed diagnosis was frequent in Argentina and explained extreme clinical pictures and surgical interventions due to lithiasis suspicion [114]. In non-endemic countries or areas, an early correct diagnosis avoids frequent misdiagnoses and unnecessary surgery [115].
- (C)
- Higher infection rate in females: The analysis shows an infection rate 1.57 times higher in females (n = 33) than in males (n = 21). A higher prevalence rate in females is well known in human fascioliasis-endemic areas, such as in Vietnam [16], southern China [116], Egypt [117], and Peru [112]. Similarly, infection intensities estimated by fecal egg counts (eggs per gram of stool = epg) also proved to be higher in females in Bolivia [110] and Egypt [105]. Unfortunately, egg quantification was conducted in no Indian patients. Indian health centers will need to use a quantitative analysis tool such as the Kato–Katz test (or any other quantitative diagnostic technique) to quantify epg in the patients, mainly to assess the adequate treatment drug dose to avoid the potential risk of bile duct obstruction due to the accumulation of dragged flukes and consequent colic. A quantity of 300 epg was established by the WHO as the colic risk limit, so a divided drug dose should be administered when surpassed [4]. This limit was increased to 400 epg for the human hyperendemic area of the Northern Bolivian Altiplano, where massive infections were frequently detected in children [118,119]. Interestingly, however, biliary colic was reported in two Indian patients, a 40-year-old female from Saharanpur, Uttar Pradesh [24], and a 40-year-old male from Alwar, Rajasthan [41], in both of whom only one adult fluke was found after surgery and ERCP, respectively.
- (D)
- Patient age peaking in adults: The age of infected patients in India showed a mean of 33.1 years. This agrees with the situation in Vietnam, where infection rates peak in the age groups of 31–40-year-old and 41–50-year-old subjects [16], and southern China, where the age mean is 38.54 ± 15.68 years [116]. Such age-related infection rates pronouncedly differ from human hyperendemic areas in Andean countries [110,112] and the Nile Delta in Egypt [117], where the highest infection rates concentrate in 5–15-year-old schoolchildren.
4.3. Problems, Exceptions, and Clarifications
4.4. Assessments by Combining Climatic and Geo-Historical Analyses
4.4.1. Species of Fasciola Infecting Humans
- The northeastern altitudes of Arunachal Pradesh, where the past connections through the Tea-Horse Road also allowed for the arrival of F. hepatica and lymnaeid-transmitting species today known in Nepal, southern China, and southeastern Asia [1].
- Northeastern Indian lowlands and low altitudes surrounding Bangladesh, mainly West Bengal, Sikkim, Assam, and Arunachal Pradesh, where livestock importation has been seen to underlie the introduction of F. hepatica from foreign countries of other continents that are endemic only for F. hepatica [17]. This man-made activity leads to fluke hybridization, giving rise to nuclear rDNA admixed Fasciola hybrids infecting both domestic ruminants [17] and humans [18] in the aforementioned states of India. In agreement with this scenario, intermediate forms have also been found in high-altitude areas of Sikkim [134]. The consequent increase in fascioliasis transmission rates is most probably related to the high number of liver fluke-infected patients reported from this northeastern part of India [45].
- Radix luteola is a mid-sized lymnaeid (adults of around 1.5–2 cm in length) recently proposed to be included in the genus Racesina [135]. The life cycle of this radicine species fits environmental conditions of pH 7 and a temperature between 20 and 35 °C, and is unable to complete its life cycle at 10 °C and 15 °C [136]. The preference for warmer temperatures agrees with the hot conditions reached by the lowlands throughout India up to the lowest latitudes [137,138]. This species shows an amphibious trend, which underlies its preference for irrigated lands and channels, such as, for instance, in rice fields, although it may also be found in ponds [138]. Radix luteola is often found in temporary water bodies that dry up in summer, surviving unfavorable conditions by burying inside the mud. When compared to lymnaeid species that are well known to be involved in human infection, such as the amphibious species G. truncatula in Europe, Lymnaea neotropica in South America [139], and Radix viridis in Vietnam [16], the similar behavioral characteristics of R. luteola suggests that it is the most important vector regarding human infection in India.
- The superspecies Radix auricularia includes species or varieties differing in shell forms, among which the Indian R. acuminata has recently been proposed to be included in the South Asian species Radix rufescens [135]. Radix acuminata is a more aquatic and large-sized lymnaeid species (with adults reaching a length greater than 2 cm), typically occurring in permanent water bodies with abundant vegetation, such as in small to large ponds, where it reaches very high prevalences of infection by F. gigantica in ponds frequented by buffaloes [140]. The life cycle of this radicine species shows a longer survival and higher multiplication rates at the lower temperatures of 15 °C and 20 °C, whereas its lifespan and egg production are markedly reduced at the higher temperatures of 25 °C and 30 °C [141]. This species, and also R. luteola, have been reported in the southernmost areas of India, such as Tamil Nadu [142]. The ecology of R. acuminata favors human infection by freshwater drinking and is suggested to be less involved in human infection.
4.4.2. Transmission Seasonality and Evolution of the Yearly Infection Risk
- Higher temperatures favoring the warm condition-preferring species R. luteola, which is the lymnaeid species showing ecological and behavioral characteristics most appropriate for fascioliasis transmission.
- A marked increase in the mean monthly precipitation, which has been evident since 1980, which is due to fewer rainy days but more days of extreme rainfall events, leading to increasing amounts of rain per event and, consequently, more frequent floodings and increased surface water availability. This favors population dynamics of amphibious lymnaeids such as R. luteola and fascioliasis transmission in temporary transmission foci. Despite the generally decreasing precipitation, scarcer temporal sources of water may persist for longer, concentrating the populations of both the lymnaeid snail vectors and of the livestock reservoir hosts and thereby favoring fascioliasis transmission. Public health problems posed by human fascioliasis have already been reported from semiarid–arid areas, where water availability depends on located water sources. In such drought situations, disease transmission factors are concentrated in small areas where humans and animals go for water supply, vegetable cultures, and livestock farming [144], epidemiologically resembling desert oases [145].
4.4.3. Geographical Distribution of Human Infection Hotspots
5. Conclusions
- (A)
- Physicians in charge of fascioliasis patients should henceforth consider the following key points:
- Adequate efforts should be made to reach a specific diagnosis by describing the morphology and length/width of adult worms if obtained by ERCP or surgery, and/or by describing and measuring the length/width of eggs if found in stools or bile/duodenum aspirates; moreover, authors of case reports are requested to add a scale in photographs illustrating worms and/or eggs.
- When eggs are found in the patient’s stool, epgs should be quantified by using Kato–Katz or any other quantitative technique, and thereby assessing the appropriate drug dose to avoid post-treatment colic.
- Physicians should consider a specific serological test, several of which are commercially available [4], for patients not shedding eggs; overlooked or misdiagnosed human infection cases in India cannot be ruled out.
- The locality where the patient is living should be provided to obtain accurate information about the geographical risk of human infection.
- In anamnesis, patients should be questioned about potential infection sources, i.e., which suspicious vegetables form part of their diet and the origin of these vegetables (sylvatic, agricultural fields, uncontrolled city markets), and water-drinking habits (from natural collections shared with livestock, wells, irrigation canals, streams or rivers, traditional beverages).
- The patient should also be asked about other members of the family or community sharing food and drinking traditions [4], and carry out their diagnosis if the information suggests their possible infection.
- The recently described complete clinical picture caused by F. gigantica [107] may be henceforth useful for clinicians in India.
- (B)
- Epidemiologists should consider the conclusions of the present multidisciplinary assessments:
- Current climate trends throughout India suggest a future increasing emergence of human fascioliasis.
- The seasonal risk of human infection ranging from June–July up to October–November in India allows for the definition of prevention and control measures.
- The geographical zones of high risk of human fascioliasis defined by archeological–historical analyses, mainly linked to the Indo-Gangetic Plains and corridors used by the old Grand Trunk Road and old Daksinapatha Road, but also in northern mountainous areas, as well as the hinterlands of western and eastern seaport cities involved in the past Maritime Silk Road [1], also allow for the design of specific control measures.
- (C)
- Responsible government officers should also consider several conclusions for the necessary improvement in certain crucial items:
- Meteorological stations should assure the continuity of climate factor measurement and make efforts to provide available data; climate change trends in India indicate a future worse situation, and meteorological data will be increasingly needed.
- Measures should be implemented to reduce uncontrolled livestock exchange with neighboring countries and apply appropriate animal quarantines and treatments for livestock imported from foreign endemic countries to avoid F. hepatica introduction, risky fasciolid hybridization, or the introduction of lymnaeid vectors attached to the hooves of imported ruminants [16,17,18].
- Human health administration officers should seek the official registration of triclabendazole for human use (Egaten® from Novartis Pharma, Basel, Switzerland), and recommend drugs different from triclabendazole for animal treatment to avoid the appearance of resistance to this drug.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
a.s.l. | Above sea level |
BC | Before Christ |
DF | Number of days with frost |
DP | Number of days with precipitation |
ELISA | Enzyme-linked immunosorbent assay |
EMT | Extreme maximum temperature |
EmT | Extreme minimum temperature |
epg | Eggs per gram of stool |
ERCP | Endoscopic retrograde cholangiopancreatography |
ETD | Extreme temperature difference |
GDD | Growing degree-days |
MET | Mean environmental temperature |
MMT | Mean maximum temperature |
MmT | Mean minimum temperature |
MTD | Maximum temperature difference |
mtDNA | Mitochondrial DNA |
NTD | Neglected tropical diseases |
PET | Total potential evapotranspiration |
Prcp | Precipitation |
rDNA | Ribosomal DNA |
Wb-bs index | Water budget-based system index |
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Location on Map | Station | International Station Code | Geographical Coordinates | Altitude (m) | Available Data (%) |
---|---|---|---|---|---|
1 | Agartala | IN021010100 | 23.88° N–91.25° E | 16 | 79.88 |
2 | Ahmedabad | IN005010600 | 23.07° N–72.63° E | 55 | 80.57 |
3 | Amritsar | INM00042071 | 31.71° N–74.80° E | 230.4 | 70.28 |
4 | Balasore | IN017010300 | 21.52° N–86.93° E | 20 | 78.17 |
5 | Bangalore | IN009010100 | 12.97° N–77.58° E | 921 | 85.2 |
6 | Begumpet Observatory | IN001080500 | 17.45° N–78.47° E | 527 | 83.74 |
7 | Bhopal Bairagarh | IN011351500 | 23.28° N–77.35° E | 523 | 82.11 |
8 | Bhuj Rudramata | IN005120501 | 23.25° N–69.67° E | 80 | 76.63 |
9 | Bikaner | IN019070100 | 28.00° N–73.30° E | 224 | 70.35 |
10 | Santacruz Mumbai | IN012070800 | 19.12° N–72.85° E | 14 | 87.24 |
11 | Chitradurga | IN009070100 | 14.23° N–76.43° E | 733 | 80.45 |
12 | Cuddalore | IN020020300 | 11.77° N–79.77° E | 12 | 80.65 |
13 | Dehradun | IN023160900 | 30.32° N–78.03° E | 682 | 58.28 |
14 | Gadag | IN009090300 | 15.42° N–75.63° E | 650 | 79.23 |
15 | Goa Panjim | IN022030600 | 15.48° N–73.82° E | 60 | 84.39 |
16 | Gorakhpur | IN023261300 | 26.75° N–83.37° E | 77 | 56.14 |
17 | Hissar | IN006031000 | 29.17° N–75.73° E | 221 | 75.73 |
18 | Indore | IN011170400 | 22.72° N–75.80° E | 567 | 81.87 |
19 | Jabalpur | IN011180800 | 23.20° N–79.95° E | 393 | 73.46 |
20 | Jaipur Sanganer | IN019131301 | 26.82° N–75.80° E | 390 | 80.81 |
21 | Jodhpur | IN019180500 | 26.30° N–73.02° E | 224 | 72.48 |
22 | Kakinada | IN001050200 | 16.95° N–82.23° E | 8 | 81.46 |
23 | Kozhikode | IN010050700 | 11.25° N–75.78° E | 5 | 71.87 |
24 | Kurnool | IN001120100 | 15.80° N–78.07° E | 281 | 69.43 |
25 | Lucknow Amausi | IN023351400 | 26.75° N–80.88° E | 128 | 80.65 |
26 | Machilipatnam | IN001111200 | 16.20° N–81.15° E | 3 | 83.74 |
27 | Madras Minambakkam | IN020040900 | 13.00° N–80.18° E | 16 | 83.98 |
28 | Mangalore Bajpe | IN009130300 | 12.92° N–74.88° E | 102 | 87.97 |
29 | Nellore | IN001160200 | 14.45° N–79.98° E | 20 | 80.24 |
30 | New Delhi Safdarjun | IN022021900 | 28.58° N–77.20° E | 216 | 81.79 |
31 | Patiala | IN018103100 | 30.33° N–76.47° E | 251 | 76.46 |
32 | Pbo Anantapur | IN001020700 | 14.58° N–77.63° E | 364 | 80.98 |
33 | Pendra Road | IN011060800 | 22.77° N–81.90° E | 625 | 70.69 |
34 | Poona | IN012190100 | 18.53° N–73.85° E | 559 | 85.28 |
35 | Raipur | IN011291000 | 21.22° N–81.67° E | 294 | 38.58 |
36 | Rajkot | IN005150100 | 22.30° N–70.78° E | 138 | 80.41 |
37 | Ratnagiri | IN012201100 | 16.98° N–73.33° E | 67 | 86.91 |
38 | Satna | IN011340100 | 24.57° N–80.83° E | 317 | 55.2 |
39 | Solapur | IN012230300 | 17.67° N–75.90° E | 479 | 79.84 |
40 | Srinagar | IN008010200 | 34.08° N–74.83° E | 1587 | 64.27 |
41 | Surat | IN005171200 | 21.20° N–72.83° E | 12 | 80.81 |
42 | Tezpur | IN003020100 | 26.62° N–92.78° E | 79 | 56.54 |
43 | Thiruvananthapuram | IN010100400 | 8.48° N–76.95° E | 64 | 87.28 |
44 | Tiruchchirapalli | IN020130700 | 10.77° N–78.72° E | 88 | 80.89 |
Origin of Reports and Cases: | No. | States with Diagnosed Cases: | No. |
---|---|---|---|
- Reports of cases (in 35 articles + 3 requests to the WHO) | 59 | - Northeastern India—state(s) n.s. | 15 |
- Individual fascioliasis patients (–4 repeatedly reported) | 55 | - Uttar Pradesh | 7 |
- Cases in which the locality of the patient was given | 11 | - Gujarat | 5 |
- Cases including only the locality of the hospital | 44 | - West Bengal | 5 |
- Cases imported from other countries | 3 | - Maharashtra | 5 |
- Punjab | 3 | ||
Specific diagnosis of causal agent: | - Tamil Nadu | 3 | |
- Infected by Fasciola hepatica | 31 | - Jammu and Kashmir | 2 |
- Infected by Fasciola gigantica | 6 | - Rajasthan | 2 |
- Infected by admixed Fasciola hybrid | 1 | - Haryana | 1 |
- Without specific diagnosis | 17 | - Delhi | 1 |
- Bihar | 1 | ||
Altitude of patient’s locality or hospital’s locality: | - Jharkhand | 1 | |
- Between 1 and 500 m a.s.l. | 35 | - Assam | 1 |
- Between 500 and 600 m a.s.l. | 2 | - Arunachal Pradesh | 1 |
- Higher than 1000 m a.s.l. | 2 | - Madhya Pradesh | 1 |
- Unknown because of lack of patient’s or hospital’s locality | 16 | - Odisha | 1 |
- State n.s. in traveler | 1 | ||
Sex and age of patient: | |||
- Male/female | 21/33 | Drugs used for patient’s treatment: | |
- Sex n.s. | 1 | - Triclabendazole | 30 |
- Age—extreme values | 30 m–71 y | - Albendazole | 10 |
- Age—mean (in years) | 33.1 | - Nitazoxanide | 21 |
- Age—mean for males/for females (in years) | 33.4/32.7 | - Diethylcarbamazine | 1 |
- Praziquantel | 4 | ||
Time elapsed between symptom onset and diagnosis: | - Antibiotics plus steroids | 2 | |
- Extreme values | 10 d–5 y | - Bitionol | 1 |
- Mean | 9.2 m | - Ivermectine | 6 |
Diagnostic method: | Coinfecting parasites: | ||
- By egg finding (in stool, or duodenal or bile aspirate) | 12 | - Giardia intestinalis | 1 |
- By adult finding (in ERCP, surgery, or liver biopsy) | 28 | - Hymenolepis nana | 1 |
- By serology | 3 | - Ascaris lumbricoides | 1 |
- By clinics and image techniques (US, CT, MRCP) | 12 | - Trichuris trichiura | 1 |
Routes | Category | Main Nodes (see Map in Figure 8) | Starting Period | Purpose/Use | References |
---|---|---|---|---|---|
Grand Trunk Road (= Uttarapatha; = northern route) | Main route | Kophen, Peshawar, Taxila, Gandhara, Lahore, Indraprastha, Mathura, Sravasti, Prayagraj, Kushinagar, Pataliputra, Chandraketugarh, Tamralipti, Teknaf | 500 y BC | Long-distance goods transport | [1,75] |
Daksinapatha Road (= southern route) | Main route | – Main route: Rajgrahi, Varanasi, Bharhut, Vidisa, Ujjayini, Ajanta, Pratisthana – Connections with the Grand Trunk Road: Kausambi, Gwalior, Mandasor, Bairat. – Connections with seaports of the Maritime Silk Road: Sanjeli, Nasik, Bhorgat, Bhaja | 500 y BC | Long-distance goods transport | [75] |
Silk Road | Main route | Taxila–Srinagar–northern Silk Road; Sravasti–Khotan in northern Silk Road | 2500–2000 y BC | Long-distance goods transport | [1,76] |
Tea-Horse Road | Main route | Sikkim state–Lhasa–Yaan; Dhaka–Dali; Mandalay–Dali | 700 y BC | Long-distance goods transport | [1] |
Maritime Silk Road | Main route | – West Indian coast: Barbarikon, Hayhab, Gogha, Khambhat, Barygaza, Kamrej, Nala Sopera, Mumbai, Kalyan, Chaul, Goa, Muziris – East Indian coast: Madras, Machilipatnam | 200 y BC | Long-distance goods transport, seaport to hinterland | [1,75] |
Sea–Grand Trunk Road connection | Secondary route | Barbaricon–Multan/Indus Valley–Taxila | 300 y BC– 100 y AD | Mid-distance goods transport | [1,75,77] |
Orissa–Bangladesh connection | Secondary route | Bhubaneswar–eastern end of Grand Trunk Road and Tea-Horse Road | 200 y BC | Long-distance goods transport | [78] |
Arabian Sea– hinterland connections | Tertiary route | – Barygaza (and neighboring seaports) – Sanjeli, Mandasor, Ujjayini – Nala Sopara/Mumbai, Kalyan, Nasik, Pratisthana – Chaul, Bhorgat, Bhaja, Pratisthana | 500 y BC | Short-distance goods transport | [1,75] |
Bay of Bengal–Daksinapatha | Tertiary route | Madras–Pratisthana; Machilipatnam–Pratisthana | 1500 y AD | Mid-distance goods transport | [75] |
Gujarat intra-/inter-state movements | Quaternary route | Gujarat state lowlands | Horizontal lowland seasonal transhumance | [79,80,81] | |
Rajasthan intra-/interstate movements | Quaternary route | Rajasthan state lowlands | Horizontal lowland seasonal transhumance | [79,80] | |
Madhya Pradesh intra-/interstate movements | Quaternary route | Madhya Pradesh state lowlands | Horizontal lowland seasonal transhumance | [79,80] | |
Uttar Pradesh Intra-/interstate movements | Quaternary route | Uttar Pradesh state lowlands | Horizontal lowland seasonal transhumance | [79,82] | |
Tamil Nadu intra-/interstate movements | Quaternary route | Tamil Nadu state lowlands | Horizontal lowland seasonal transhumance | [79] | |
Punjab intra-/inter- state movements | Quaternary route | Punjab state lowlands | Horizontal lowland seasonal transhumance | [79] | |
Western Himalaya vertical movements | Quaternary route | Jammu and Kashmir–Himachal Pradesh–Uttarakhand | Vertical altitudinal seasonal transhumance | [79,80,82,83,84,85,86,87] | |
Central Himalaya vertical movements | Quaternary route | Eastern Nepal/Sikkim–Lhasa/Bhutan | Vertical altitudinal seasonal transhumance | [88,89,90,91,92] | |
Eastern Himalaya vertical movements | Quaternary route | Arunachal Pradesh–Tea-Horse Road | Vertical altitudinal seasonal transhumance | [93,94,95,96,97] | |
Eastern states | Quaternary routes | Bihar, Jharkhand, Orissa, Chhattisgarh, and West Bengal | Nomadic pastoralism | [98,99,100,101] |
States of India | State Subzones | Transhumant, Nomadic, or Pastoralist Groups | Moving Livestock Reservoir Species | Ruminant Prevalences Reported |
---|---|---|---|---|
Andhra Pradesh | Golla | Cattle | Cattle & buffaloes: 3.8% | |
Kuruma | Sheep | |||
Arunachal Pradesh | Tawang and Kemeng districts | Monpa | Cattle, yak | Mithun: 4.08–28.9% |
Assam | Cattle: 34.0% | |||
Bihar | Gaddi Muslim/Ghosi | Cattle | Sheep: 8.98%; goats: 12.87% | |
Chhattisgarh | Cattle: 0.3%; buffaloes: 0.6% | |||
Delhi | Sheep, goats, cattle, buffaloes: 0.8–2.1% | |||
Goa | Gavli | Cattle | n.d. | |
Gujarat | Bharwad | Sheep, goats, cattle | Cattle & buffaloes: 12.0–42.0% Buffaloes: 25.0–33.0% | |
Gir forest region | Charan | Cattle | ||
Gavli | Cattle | |||
Kutch region | Jath | Cattle, camelids | ||
Saurashtra region | Mer | Cattle, camelids | ||
Rebari/Reika | Goats, cattle, camelids | |||
Haryana | Gaderia | Sheep, goats | Buffaloes: 1.3% | |
Himachal Pradesh | Gaddis | Sheep, goats | Sheep & goats: 8.8–9.6% Cattle & buffaloes: 36.0–48.7% | |
Gujjar | Buffalo, cattle | |||
Kinnaur district | Kinnaura | Sheep, goats | ||
Jharkhand | Pashu Sakhis | Mostly goats | n.d. | |
Jammu and Kashmir | Bakarwal | goats | Sheep: 15.0% Sheep & goats: 2.0–4.2% Cattle: 4.5–85.0% Cattle & buffaloes: 2.6–6.9% | |
Zanskar | Changpa | Yak | ||
Gaddis | Sheep, goats | |||
Gujjar | Buffalo, cattle | |||
Karnataka | Dhangar/Kuruba | Sheep | Cattle: 2.4–26.6% Buffaloes: 1.5–22.5% | |
Gavli/Toda | Cattle | |||
Kerala | Toda | Cattle | n.d. | |
Madhya Pradesh | Dhangar | Sheep | Goats: 3.5–25.3%; cattle: 6.02%; buffaloes: 3.51% | |
Gaderia | Sheep, goats | |||
Maharashtra | Dhangar | Sheep | Sheep: 31.8%; goats: 19.4%; cattle: 17.5%; buffaloes: 23.8% | |
Gavli/Golla | Cattle | |||
Manipur | Farmers | Goats, cattle | n.d. | |
Meghalaya | Farmers, Scheduled Tribe | Sheep, goats, cattle, buffaloes | Cattle: 52.2% | |
Mizoram | Farmers | Cattle | n.d. | |
Nagaland | Farmers | Sheep, cattle, buffaloes | n.d. | |
Orissa (= Odisha) | Cattle: 4.3% | |||
Punjab | Banjaras | Cattle | Sheep: 72.9%; goats: 56.8% Cattle: 1.9–18.0%; buffaloes: 21.0% | |
Rajasthan | Gaddi Muslim/Ghosi | Cattle | Cattle: 2.4% | |
Mewar in the south | Gayri | Sheep, cattle | ||
Gujjar | Buffalo, cattle | |||
Ganganagar and Bikaner districts | Rath | Cattle | ||
Rebari/Reika | Goats, cattle, camelids | |||
Marwar region | Sindhi | Sheep, cattle, camelids | ||
Jaisalmer | Sindhi | Sheep, cattle, camelids | ||
Sikkim | North district | Bhutia | Sheep, goats, cattle | Goat & cattle: 19.3–83.0% |
Tamil Nadu | Nilgiri region | Toda | Cattle | Sheep: 50.0% |
Telangana | Mahabubnagar dist. | Farmers | Sheep, goats, cattle, buffaloes | n.d. |
Tripura | Farmers | Sheep, goats, cattle, buffaloes | n.d. | |
Uttar Pradesh | Gaddi Muslim | Cattle | Sheep: 1.7% Goats: 2.0–3.6% Buffaloes: 32.8–94.0% | |
Gaderia | Sheep, goats | |||
Ghosi | Cattle | |||
Van Gujar | Buffalo | |||
Uttarakhand | Garhwal, Kumaon | Bhotia | Sheep, goats, cattle | Sheep: 2.5–4.5%; goats: 1.2–3.5%; buffaloes: 57.4–78.0% |
Van Gujar | Buffalo | |||
West Bengal | Cattle: 0.8% |
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Mas-Coma, S.; Cuervo, P.F.; Chetri, P.B.; Tripathi, T.; Gabrielli, A.F.; Bargues, M.D. Emerging Human Fascioliasis in India: Review of Case Reports, Climate Change Impact, and Geo-Historical Correlation Defining Areas and Seasons of High Infection Risk. Trop. Med. Infect. Dis. 2025, 10, 123. https://doi.org/10.3390/tropicalmed10050123
Mas-Coma S, Cuervo PF, Chetri PB, Tripathi T, Gabrielli AF, Bargues MD. Emerging Human Fascioliasis in India: Review of Case Reports, Climate Change Impact, and Geo-Historical Correlation Defining Areas and Seasons of High Infection Risk. Tropical Medicine and Infectious Disease. 2025; 10(5):123. https://doi.org/10.3390/tropicalmed10050123
Chicago/Turabian StyleMas-Coma, Santiago, Pablo F. Cuervo, Purna Bahadur Chetri, Timir Tripathi, Albis Francesco Gabrielli, and M. Dolores Bargues. 2025. "Emerging Human Fascioliasis in India: Review of Case Reports, Climate Change Impact, and Geo-Historical Correlation Defining Areas and Seasons of High Infection Risk" Tropical Medicine and Infectious Disease 10, no. 5: 123. https://doi.org/10.3390/tropicalmed10050123
APA StyleMas-Coma, S., Cuervo, P. F., Chetri, P. B., Tripathi, T., Gabrielli, A. F., & Bargues, M. D. (2025). Emerging Human Fascioliasis in India: Review of Case Reports, Climate Change Impact, and Geo-Historical Correlation Defining Areas and Seasons of High Infection Risk. Tropical Medicine and Infectious Disease, 10(5), 123. https://doi.org/10.3390/tropicalmed10050123