Abstract

Introduction

Faecal-oral transmission refers to the process whereby disease is transmitted via the faeces of an infected individual to the mouth of a susceptible individual. This transmission can occur through failures in sanitation systems leading to exposure via various routes in particular contaminated water, food, and hands. Travellers’ diarrhoea is the most common travel-related illness. A score could enhance risk assessment and pre-travel advice.

Methods

A simple score was developed based on the frequency of defecating in the open (country prevalence > 1%), occurrence of cholera in the period between 2021 and 2017 (one or more case in a country) and reported typhoid fever cases between 2015 and 2019.

Results

Data were available for 199 out of 214 countries for the score to be applied. 19% of the 199 countries scored as high risk countries for faecal-oral transmission (score 3), 47% as medium risk (score 2), and 34% as minimal risk (score 0). The percentage of countries scoring 3 was highest in Africa (63%) and lowest in Europe and Oceania (score 0).

Conclusions

A global risk map was developed based on a simple score that could aid travel medicine providers in providing pre-travel risk assessment. For travellers to high and medium risk countries, pre-travel consultation must include detailed advice on food and water hygiene.

Introduction

Pathogens

About 18 feco–oral agents are priority pathogens, including hepatitis A and E viruses, norovirus, rotavirus, Escherichia coli, Campylobacter, Salmonella enterica serotypes Typhi (S. Typhi) and Paratyphi (SP), Vibrio cholerae O1/O139 and the parasites Cryptosporidium and Cyclospora.1–4 Of these, because of the close association with sanitation, S. Typhi/SP and V. cholerae are surrogates of water- and food-borne risks of gastrointestinal infection.5,6 In 2017, typhoid and paratyphoid fevers occurred in some 14 million cases (76% S. Typhi, 24% SP, aggregated rate 198/105).7 As many as 223 370 cholera cases were recorded in 2021, of which 4159 (1.9%) were fatal. Overall, 35 countries reported at least one case of cholera while 55 countries reported no case in the same year.8

Sanitation

In essence, good sanitation is the safe and sustained disposal of human excretions. The criteria of ‘basic’ or ‘improved’ sanitation are debated; definitions by UNICEF are summarized in Table S1 (supplement). In 2020, 494 million (6%) people worldwide relied on defecation in the open (15% in 2010, 25% in 1990) (https://apps.who.int/iris/handle/10665/345081 and previous issues). Unsafe sanitation and contaminated drinking water supplies call for public health interventions.

Map. Risk of faecal–oral transmission, scored from open defecation, domestic cholera and endemic typhoid in 199 countries: high (red, for Score 3), moderate (yellow, for Score 1 or 2) or minimal (green, for Score 0)
Figure 1

Map. Risk of faecal–oral transmission, scored from open defecation, domestic cholera and endemic typhoid in 199 countries: high (red, for Score 3), moderate (yellow, for Score 1 or 2) or minimal (green, for Score 0)

Travel

Diarrhoea affects some 10 to 20% (range 5–45%) of adult and paediatric travellers.2,9,10 Main pathogens causing traveller’s diarrhoea are viruses such as norovirus and bacteria such as enterotoxigenic E. coli, either alone or mixed.2,3,10–14 By contrast, S. Typhi and V. cholerae are less frequent or declining causes of traveller’s diarrhoea.6,15,16 Pretravel leaflets often include precautions regarding the consumption of water, beverages and other foods. Vaccines are available for S. Typhi (conjugate, polysaccharide Vi or live Ty21a) and V. cholerae (oral), although vaccination certificates are not required for entry into a country (wwwnc.cdc.gov/travel/page/yellowbook-home-2020). Therefore, overseas travellers, expatriates and residents in endemic areas would benefit from an easy, evidence-based, educational tool that summarizes the risk of faecal–oral transmission in a country. This work aims to propose such a tool by proposing a global score.

Materials and methods

Data retrieval

Sanitation data were extracted from https://apps.who.int/iris/handle/10665/345081. Cholera case estimations were based on notifications to WHO,8 also taking into account reports by WHO, Ministries of Health (MoH), and V. cholerae infections cited in references and www.infective-continents.ch.

Incidence of enteric fever (caused by S. Typhi or SP) was based on estimates for 20177 and reports by MoH (notifications), while the frequency of S. Typhi or SP isolates or outbreaks was estimated based on cited references and www.infective-continents.ch. Imported cases were excluded if known (marked ‘i’ in Tables 14 and Supplementary Table S2). All other cases were considered domestic (that is, acquired locally).

Table 1

Risks from defecation, domestic cholera and Salmonella Typhi/Paratyphi—Africaa

Country% defecating in the open ≤2020Notified domestic cholera, 2021–20–19–18–17S. Typhi/Paratyphi ≥2015 or typhoid cases, 2019–18–17–16–15 (rate/105)Faecal score
North
 Algeria<1nk-nk-0-291-nk29 350(24) in 20172
 Canary Islands (Spain)<1nk(<0.1)0
 Egypt<10-nk-nk-nk-024 276(23) in 20171
 Libya<10-nk-0-nk-01442(21) in 20171
 Madeira (Portugal)<1nk(<0.1)0
 Morocco20-nk-0-nk-012 454(35) in 20172
 Tunisia<10-nk-nk-0-nk3267(31) in 20171
West
 Benin521298-232-50-0-1119 748(136) in 20173
 Burkina Faso401(&2i)-risk-0-0-nk130 095(492) in 20173
 Cabo Verde14nk-nk-nk-0-nk318(57) in 20172
 Côte d’Ivoire250(&12i)-risk-nk-nk-nk29 788(99) in 20172
 Gambia<1nk2598(100) in 20171
 Ghana182-risk-1-nk-0Fever,19 79 100(228) in 20173
 Guinea12risk-risk-0-nk-nk19 058(129) in 20173
 Guinea-Bissau100-risk-nk-nk-nk677(30) in 20172
 Liberia38167-risk-nk-2-08658(152) in 20173
 Mali512-risk-0-0-036 841(143) in 20173
 Mauritania31nk-nk-nk-0-nk4494(95) in 20172
 Niger685188(&403i)-risk-0-3900-nk37 967(134) in 20173
 Nigeria19111 062-596-2486-45 037-12 174376 103(147) in 20173
 Senegal110-0-nk-nk-nk13 824(78) in 20172
 Sierra Leone160-0-0-nk-015 030(158) in 20172
 Togo4540-67-0-nk-nk13 950(156) in 20173
Centre and East
 Angola180-risk-nk-1546-82827 140(76) in 20173
 Burundi311-277-1145-92-39926 326(194) in 20173
 Cameroon6728-1890-1840-1052-nk44 787(131) in 20173
 Central African Rep.250-nk-nk-0-04914(89) in 20172
 Chad640-0-nk-0-126632 836(164) in 20173
 Comoros<10-nk-0-nk-nk851(106) in 20171
 Congo80-risk-nk-60-nk3114(56) in 20173
 Congo Democratic Rep.1212 103-19 789-30 304-30 768-56 19085 891(86) in 20173
 Djibouti160-0-0-nk-nk1548(128) in 20172
 Eritrea67risk-0-nk-nk-nk10 446(148) in 20173
 Equatorial Guinea3nk807(48) in 20172
 Ethiopia17674-12 226-2615-nk-nk208 603(163) in 20173
 Gabon20-nk-nk-nk-nk579(31) in 20172
 Kenya938-447-5208-5719-4288109 275(188) in 20173
 Madagascar42nk40 056(126) in 20172
 Malawi42-3-23-812-34432 966(156) in 20173
 Angola180-risk-nk-1546-82827 140(76) in 20173
 Burundi311-277-1145-92-39926 326(194) in 20173
 Cameroon6728-1890-1840-1052-nk44 787(131) in 20173
 Central African Rep.250-nk-nk-0-04914(89) in 20172
 Chad640-0-nk-0-126632 836(164) in 20173
 Comoros<10-nk-0-nk-nk851(106) in 20171
 Congo80-risk-nk-60-nk3114(56) in 20173
 Congo Democratic Rep.1212 103-19 789-30 304-30 768-56 19085 891(86) in 20173
 Djibouti160-0-0-nk-nk1548(128) in 20172
 Eritrea67risk-0-nk-nk-nk10 446(148) in 20173
 Equatorial Guinea3nk807(48) in 20172
 Ethiopia17674-12 226-2615-nk-nk208 603(163) in 20173
 Gabon20-nk-nk-nk-nk579(31) in 20172
 Kenya938-447-5208-5719-4288109 275(188) in 20173
 Madagascar42nk40 056(126) in 20172
 Malawi42-3-23-812-34432 966(156) in 20173
 Mauritius<1nk-nk-nk-0-nk254(24) in 20172
 Mozambique215072-3787-7010-910-589272 343(189) in 20173
 Réunion<1nknknk
 Rwanda274-nk-nk-0-nk16 659(111) in 20173
 Sao Tome & Principe43nk-nk-nk-0-nk220(94) in 20172
 Seychelles<10-nk-nk-0-nk22(25) in 20171
 Somalia234342-6414-3100-6761-75 41430 464(144) in 20173
 South Sudan600-0-0-0-16 08825 030(200) in 20173
 Sudan249-7-346-0-nk32 526(68) in 20173
 Tanzania1154-risk-nk-4777-489580 205(122) in 20173
 Uganda5173-1521-358-4440-252Outbreak,20 56 512(112) in 20173
 Zambia110-0-447-4082-179427 670(128) in 20173
South
 Botswana10nk-0-0-nk-nk54(2.2) in 20172
 Eswatini4nk-nk-nk-0-nk39(3) in 20172
 Lesotho220-nk-nk-0-nk79(4) in 20172
 Namibia470-0-nk-nk-nk64(2.4) in 20172
 South Africa<1nk-nk-nk-5-0Outbreak,21 998 (1.8) in 20173
 Zimbabwe230-0-61-10 692-nkOutbreak,22 656(4) in 20173
Country% defecating in the open ≤2020Notified domestic cholera, 2021–20–19–18–17S. Typhi/Paratyphi ≥2015 or typhoid cases, 2019–18–17–16–15 (rate/105)Faecal score
North
 Algeria<1nk-nk-0-291-nk29 350(24) in 20172
 Canary Islands (Spain)<1nk(<0.1)0
 Egypt<10-nk-nk-nk-024 276(23) in 20171
 Libya<10-nk-0-nk-01442(21) in 20171
 Madeira (Portugal)<1nk(<0.1)0
 Morocco20-nk-0-nk-012 454(35) in 20172
 Tunisia<10-nk-nk-0-nk3267(31) in 20171
West
 Benin521298-232-50-0-1119 748(136) in 20173
 Burkina Faso401(&2i)-risk-0-0-nk130 095(492) in 20173
 Cabo Verde14nk-nk-nk-0-nk318(57) in 20172
 Côte d’Ivoire250(&12i)-risk-nk-nk-nk29 788(99) in 20172
 Gambia<1nk2598(100) in 20171
 Ghana182-risk-1-nk-0Fever,19 79 100(228) in 20173
 Guinea12risk-risk-0-nk-nk19 058(129) in 20173
 Guinea-Bissau100-risk-nk-nk-nk677(30) in 20172
 Liberia38167-risk-nk-2-08658(152) in 20173
 Mali512-risk-0-0-036 841(143) in 20173
 Mauritania31nk-nk-nk-0-nk4494(95) in 20172
 Niger685188(&403i)-risk-0-3900-nk37 967(134) in 20173
 Nigeria19111 062-596-2486-45 037-12 174376 103(147) in 20173
 Senegal110-0-nk-nk-nk13 824(78) in 20172
 Sierra Leone160-0-0-nk-015 030(158) in 20172
 Togo4540-67-0-nk-nk13 950(156) in 20173
Centre and East
 Angola180-risk-nk-1546-82827 140(76) in 20173
 Burundi311-277-1145-92-39926 326(194) in 20173
 Cameroon6728-1890-1840-1052-nk44 787(131) in 20173
 Central African Rep.250-nk-nk-0-04914(89) in 20172
 Chad640-0-nk-0-126632 836(164) in 20173
 Comoros<10-nk-0-nk-nk851(106) in 20171
 Congo80-risk-nk-60-nk3114(56) in 20173
 Congo Democratic Rep.1212 103-19 789-30 304-30 768-56 19085 891(86) in 20173
 Djibouti160-0-0-nk-nk1548(128) in 20172
 Eritrea67risk-0-nk-nk-nk10 446(148) in 20173
 Equatorial Guinea3nk807(48) in 20172
 Ethiopia17674-12 226-2615-nk-nk208 603(163) in 20173
 Gabon20-nk-nk-nk-nk579(31) in 20172
 Kenya938-447-5208-5719-4288109 275(188) in 20173
 Madagascar42nk40 056(126) in 20172
 Malawi42-3-23-812-34432 966(156) in 20173
 Angola180-risk-nk-1546-82827 140(76) in 20173
 Burundi311-277-1145-92-39926 326(194) in 20173
 Cameroon6728-1890-1840-1052-nk44 787(131) in 20173
 Central African Rep.250-nk-nk-0-04914(89) in 20172
 Chad640-0-nk-0-126632 836(164) in 20173
 Comoros<10-nk-0-nk-nk851(106) in 20171
 Congo80-risk-nk-60-nk3114(56) in 20173
 Congo Democratic Rep.1212 103-19 789-30 304-30 768-56 19085 891(86) in 20173
 Djibouti160-0-0-nk-nk1548(128) in 20172
 Eritrea67risk-0-nk-nk-nk10 446(148) in 20173
 Equatorial Guinea3nk807(48) in 20172
 Ethiopia17674-12 226-2615-nk-nk208 603(163) in 20173
 Gabon20-nk-nk-nk-nk579(31) in 20172
 Kenya938-447-5208-5719-4288109 275(188) in 20173
 Madagascar42nk40 056(126) in 20172
 Malawi42-3-23-812-34432 966(156) in 20173
 Mauritius<1nk-nk-nk-0-nk254(24) in 20172
 Mozambique215072-3787-7010-910-589272 343(189) in 20173
 Réunion<1nknknk
 Rwanda274-nk-nk-0-nk16 659(111) in 20173
 Sao Tome & Principe43nk-nk-nk-0-nk220(94) in 20172
 Seychelles<10-nk-nk-0-nk22(25) in 20171
 Somalia234342-6414-3100-6761-75 41430 464(144) in 20173
 South Sudan600-0-0-0-16 08825 030(200) in 20173
 Sudan249-7-346-0-nk32 526(68) in 20173
 Tanzania1154-risk-nk-4777-489580 205(122) in 20173
 Uganda5173-1521-358-4440-252Outbreak,20 56 512(112) in 20173
 Zambia110-0-447-4082-179427 670(128) in 20173
South
 Botswana10nk-0-0-nk-nk54(2.2) in 20172
 Eswatini4nk-nk-nk-0-nk39(3) in 20172
 Lesotho220-nk-nk-0-nk79(4) in 20172
 Namibia470-0-nk-nk-nk64(2.4) in 20172
 South Africa<1nk-nk-nk-5-0Outbreak,21 998 (1.8) in 20173
 Zimbabwe230-0-61-10 692-nkOutbreak,22 656(4) in 20173

aSanitation from https://data.unicef.org/; cholera from8 and MoH, references and www.infective-continents.ch/; typhoid from7 for 2017, also MoH, references and www.infective-continents.ch/; i = imported, nk = not known, risk = considered as such by WHO.

Table 1

Risks from defecation, domestic cholera and Salmonella Typhi/Paratyphi—Africaa

Country% defecating in the open ≤2020Notified domestic cholera, 2021–20–19–18–17S. Typhi/Paratyphi ≥2015 or typhoid cases, 2019–18–17–16–15 (rate/105)Faecal score
North
 Algeria<1nk-nk-0-291-nk29 350(24) in 20172
 Canary Islands (Spain)<1nk(<0.1)0
 Egypt<10-nk-nk-nk-024 276(23) in 20171
 Libya<10-nk-0-nk-01442(21) in 20171
 Madeira (Portugal)<1nk(<0.1)0
 Morocco20-nk-0-nk-012 454(35) in 20172
 Tunisia<10-nk-nk-0-nk3267(31) in 20171
West
 Benin521298-232-50-0-1119 748(136) in 20173
 Burkina Faso401(&2i)-risk-0-0-nk130 095(492) in 20173
 Cabo Verde14nk-nk-nk-0-nk318(57) in 20172
 Côte d’Ivoire250(&12i)-risk-nk-nk-nk29 788(99) in 20172
 Gambia<1nk2598(100) in 20171
 Ghana182-risk-1-nk-0Fever,19 79 100(228) in 20173
 Guinea12risk-risk-0-nk-nk19 058(129) in 20173
 Guinea-Bissau100-risk-nk-nk-nk677(30) in 20172
 Liberia38167-risk-nk-2-08658(152) in 20173
 Mali512-risk-0-0-036 841(143) in 20173
 Mauritania31nk-nk-nk-0-nk4494(95) in 20172
 Niger685188(&403i)-risk-0-3900-nk37 967(134) in 20173
 Nigeria19111 062-596-2486-45 037-12 174376 103(147) in 20173
 Senegal110-0-nk-nk-nk13 824(78) in 20172
 Sierra Leone160-0-0-nk-015 030(158) in 20172
 Togo4540-67-0-nk-nk13 950(156) in 20173
Centre and East
 Angola180-risk-nk-1546-82827 140(76) in 20173
 Burundi311-277-1145-92-39926 326(194) in 20173
 Cameroon6728-1890-1840-1052-nk44 787(131) in 20173
 Central African Rep.250-nk-nk-0-04914(89) in 20172
 Chad640-0-nk-0-126632 836(164) in 20173
 Comoros<10-nk-0-nk-nk851(106) in 20171
 Congo80-risk-nk-60-nk3114(56) in 20173
 Congo Democratic Rep.1212 103-19 789-30 304-30 768-56 19085 891(86) in 20173
 Djibouti160-0-0-nk-nk1548(128) in 20172
 Eritrea67risk-0-nk-nk-nk10 446(148) in 20173
 Equatorial Guinea3nk807(48) in 20172
 Ethiopia17674-12 226-2615-nk-nk208 603(163) in 20173
 Gabon20-nk-nk-nk-nk579(31) in 20172
 Kenya938-447-5208-5719-4288109 275(188) in 20173
 Madagascar42nk40 056(126) in 20172
 Malawi42-3-23-812-34432 966(156) in 20173
 Angola180-risk-nk-1546-82827 140(76) in 20173
 Burundi311-277-1145-92-39926 326(194) in 20173
 Cameroon6728-1890-1840-1052-nk44 787(131) in 20173
 Central African Rep.250-nk-nk-0-04914(89) in 20172
 Chad640-0-nk-0-126632 836(164) in 20173
 Comoros<10-nk-0-nk-nk851(106) in 20171
 Congo80-risk-nk-60-nk3114(56) in 20173
 Congo Democratic Rep.1212 103-19 789-30 304-30 768-56 19085 891(86) in 20173
 Djibouti160-0-0-nk-nk1548(128) in 20172
 Eritrea67risk-0-nk-nk-nk10 446(148) in 20173
 Equatorial Guinea3nk807(48) in 20172
 Ethiopia17674-12 226-2615-nk-nk208 603(163) in 20173
 Gabon20-nk-nk-nk-nk579(31) in 20172
 Kenya938-447-5208-5719-4288109 275(188) in 20173
 Madagascar42nk40 056(126) in 20172
 Malawi42-3-23-812-34432 966(156) in 20173
 Mauritius<1nk-nk-nk-0-nk254(24) in 20172
 Mozambique215072-3787-7010-910-589272 343(189) in 20173
 Réunion<1nknknk
 Rwanda274-nk-nk-0-nk16 659(111) in 20173
 Sao Tome & Principe43nk-nk-nk-0-nk220(94) in 20172
 Seychelles<10-nk-nk-0-nk22(25) in 20171
 Somalia234342-6414-3100-6761-75 41430 464(144) in 20173
 South Sudan600-0-0-0-16 08825 030(200) in 20173
 Sudan249-7-346-0-nk32 526(68) in 20173
 Tanzania1154-risk-nk-4777-489580 205(122) in 20173
 Uganda5173-1521-358-4440-252Outbreak,20 56 512(112) in 20173
 Zambia110-0-447-4082-179427 670(128) in 20173
South
 Botswana10nk-0-0-nk-nk54(2.2) in 20172
 Eswatini4nk-nk-nk-0-nk39(3) in 20172
 Lesotho220-nk-nk-0-nk79(4) in 20172
 Namibia470-0-nk-nk-nk64(2.4) in 20172
 South Africa<1nk-nk-nk-5-0Outbreak,21 998 (1.8) in 20173
 Zimbabwe230-0-61-10 692-nkOutbreak,22 656(4) in 20173
Country% defecating in the open ≤2020Notified domestic cholera, 2021–20–19–18–17S. Typhi/Paratyphi ≥2015 or typhoid cases, 2019–18–17–16–15 (rate/105)Faecal score
North
 Algeria<1nk-nk-0-291-nk29 350(24) in 20172
 Canary Islands (Spain)<1nk(<0.1)0
 Egypt<10-nk-nk-nk-024 276(23) in 20171
 Libya<10-nk-0-nk-01442(21) in 20171
 Madeira (Portugal)<1nk(<0.1)0
 Morocco20-nk-0-nk-012 454(35) in 20172
 Tunisia<10-nk-nk-0-nk3267(31) in 20171
West
 Benin521298-232-50-0-1119 748(136) in 20173
 Burkina Faso401(&2i)-risk-0-0-nk130 095(492) in 20173
 Cabo Verde14nk-nk-nk-0-nk318(57) in 20172
 Côte d’Ivoire250(&12i)-risk-nk-nk-nk29 788(99) in 20172
 Gambia<1nk2598(100) in 20171
 Ghana182-risk-1-nk-0Fever,19 79 100(228) in 20173
 Guinea12risk-risk-0-nk-nk19 058(129) in 20173
 Guinea-Bissau100-risk-nk-nk-nk677(30) in 20172
 Liberia38167-risk-nk-2-08658(152) in 20173
 Mali512-risk-0-0-036 841(143) in 20173
 Mauritania31nk-nk-nk-0-nk4494(95) in 20172
 Niger685188(&403i)-risk-0-3900-nk37 967(134) in 20173
 Nigeria19111 062-596-2486-45 037-12 174376 103(147) in 20173
 Senegal110-0-nk-nk-nk13 824(78) in 20172
 Sierra Leone160-0-0-nk-015 030(158) in 20172
 Togo4540-67-0-nk-nk13 950(156) in 20173
Centre and East
 Angola180-risk-nk-1546-82827 140(76) in 20173
 Burundi311-277-1145-92-39926 326(194) in 20173
 Cameroon6728-1890-1840-1052-nk44 787(131) in 20173
 Central African Rep.250-nk-nk-0-04914(89) in 20172
 Chad640-0-nk-0-126632 836(164) in 20173
 Comoros<10-nk-0-nk-nk851(106) in 20171
 Congo80-risk-nk-60-nk3114(56) in 20173
 Congo Democratic Rep.1212 103-19 789-30 304-30 768-56 19085 891(86) in 20173
 Djibouti160-0-0-nk-nk1548(128) in 20172
 Eritrea67risk-0-nk-nk-nk10 446(148) in 20173
 Equatorial Guinea3nk807(48) in 20172
 Ethiopia17674-12 226-2615-nk-nk208 603(163) in 20173
 Gabon20-nk-nk-nk-nk579(31) in 20172
 Kenya938-447-5208-5719-4288109 275(188) in 20173
 Madagascar42nk40 056(126) in 20172
 Malawi42-3-23-812-34432 966(156) in 20173
 Angola180-risk-nk-1546-82827 140(76) in 20173
 Burundi311-277-1145-92-39926 326(194) in 20173
 Cameroon6728-1890-1840-1052-nk44 787(131) in 20173
 Central African Rep.250-nk-nk-0-04914(89) in 20172
 Chad640-0-nk-0-126632 836(164) in 20173
 Comoros<10-nk-0-nk-nk851(106) in 20171
 Congo80-risk-nk-60-nk3114(56) in 20173
 Congo Democratic Rep.1212 103-19 789-30 304-30 768-56 19085 891(86) in 20173
 Djibouti160-0-0-nk-nk1548(128) in 20172
 Eritrea67risk-0-nk-nk-nk10 446(148) in 20173
 Equatorial Guinea3nk807(48) in 20172
 Ethiopia17674-12 226-2615-nk-nk208 603(163) in 20173
 Gabon20-nk-nk-nk-nk579(31) in 20172
 Kenya938-447-5208-5719-4288109 275(188) in 20173
 Madagascar42nk40 056(126) in 20172
 Malawi42-3-23-812-34432 966(156) in 20173
 Mauritius<1nk-nk-nk-0-nk254(24) in 20172
 Mozambique215072-3787-7010-910-589272 343(189) in 20173
 Réunion<1nknknk
 Rwanda274-nk-nk-0-nk16 659(111) in 20173
 Sao Tome & Principe43nk-nk-nk-0-nk220(94) in 20172
 Seychelles<10-nk-nk-0-nk22(25) in 20171
 Somalia234342-6414-3100-6761-75 41430 464(144) in 20173
 South Sudan600-0-0-0-16 08825 030(200) in 20173
 Sudan249-7-346-0-nk32 526(68) in 20173
 Tanzania1154-risk-nk-4777-489580 205(122) in 20173
 Uganda5173-1521-358-4440-252Outbreak,20 56 512(112) in 20173
 Zambia110-0-447-4082-179427 670(128) in 20173
South
 Botswana10nk-0-0-nk-nk54(2.2) in 20172
 Eswatini4nk-nk-nk-0-nk39(3) in 20172
 Lesotho220-nk-nk-0-nk79(4) in 20172
 Namibia470-0-nk-nk-nk64(2.4) in 20172
 South Africa<1nk-nk-nk-5-0Outbreak,21 998 (1.8) in 20173
 Zimbabwe230-0-61-10 692-nkOutbreak,22 656(4) in 20173

aSanitation from https://data.unicef.org/; cholera from8 and MoH, references and www.infective-continents.ch/; typhoid from7 for 2017, also MoH, references and www.infective-continents.ch/; i = imported, nk = not known, risk = considered as such by WHO.

Table 2

Risks from defecation, domestic cholera and Salmonella Typhi/Paratyphi—Americasa

Country% defecating in the open ≤ 2020Notified domestic cholera, 2021–20–19–18–17S. Typhi/Paratyphi ≥2015 or typhoid cases, 2019–18–17–16–15 (rate/105)Faecal score
North
 Canada<10-0(&2i)-0(&3i)-0-1(&3i)194(0.5)-190-190-127-1211
 Greenland<1nk0 in 20170
 USA<10-1(i?)-6(i?)-6(&8i)-2(&8i)-2(&9i)409(0.1)-401-419-376-367, & outbreak,23 carrier241
Centre mainland
 Belize<1012(3) in 20171
 Costa Rica<1010(0.2) in 20170
 El Salvador<10outbreak,25 144(2.4) in 20171
 Guatemala20outbreak,25 4045(29) in 20172
 Honduras40227(3) in 20172
 Mexico<10-0-1-1-028 680(22/105)-44 618-57 276-45 379-58 976, & outbreak252
 Nicaragua70181(3) in 20172
 Panama4075(1.9) in 20172
Caribbean
 Antigua and Barbuda<1nk1(1.5) in 20170
 Aruba/Curaçao1/<1nknknk
 Bahamas<105(1.4) in 20170
 Barbados<1nk9(2.4) in 20171
 British Virgin Islands<1nknknk
 Cayman Islands<1nknknk
 Cuba<10153(1.1) in 20170
 Dominica6nk1(1.9) in 20171
 Dominican Rep.20-0-13-0-122335(3) in 20173
 Grenada4nk2(1.7) in 20172
 Guadeloupe<1nknknk
 Haiti180-0-720-3777-13 6811720(13) in 20173
 Jamaica<1nk52(1.8) in 20171
 Martinique<1nk-0-0-0-0nk0
 Puerto Rico<1nk0-1(<0.1/105)-nk-nk-0, 86(1.8) in 20170
 St. Kitts1nknknk
 St. Lucia6nk6(3) in 20172
 St. Vincent and  Grenadines3nk3(3) in 20172
 Trinidad and Tobago<1nk1(<0.1) in 20170
 Turks and Caicos2nknknk
 US Virgin Islands<1nk2(1.2) in 20170
South
 Argentinank0nk-65(0.1)-5-6-71
 Bolivia100173(1.7) in 20172
 Brazil<104202(1.9) in 20171
 Chile<10nk-nk-nk-85(0.5)-101, 1934(4) in 20171
 Colombia30nk-nk-nk-136(0.3)-3712
 Ecuador<10247(1.5) in 20171
 French Guiana<10nk0
 Guyana<1019(3) in 20171
 Paraguay<10114(1.8) in 20171
 Peru40482(1.5) in 20172
 Suriname1nk12(2.1) in 20171
 Uruguay<1nk3(<0.1) in 20171
 Venezuela3025(<0.1) in 20172
Country% defecating in the open ≤ 2020Notified domestic cholera, 2021–20–19–18–17S. Typhi/Paratyphi ≥2015 or typhoid cases, 2019–18–17–16–15 (rate/105)Faecal score
North
 Canada<10-0(&2i)-0(&3i)-0-1(&3i)194(0.5)-190-190-127-1211
 Greenland<1nk0 in 20170
 USA<10-1(i?)-6(i?)-6(&8i)-2(&8i)-2(&9i)409(0.1)-401-419-376-367, & outbreak,23 carrier241
Centre mainland
 Belize<1012(3) in 20171
 Costa Rica<1010(0.2) in 20170
 El Salvador<10outbreak,25 144(2.4) in 20171
 Guatemala20outbreak,25 4045(29) in 20172
 Honduras40227(3) in 20172
 Mexico<10-0-1-1-028 680(22/105)-44 618-57 276-45 379-58 976, & outbreak252
 Nicaragua70181(3) in 20172
 Panama4075(1.9) in 20172
Caribbean
 Antigua and Barbuda<1nk1(1.5) in 20170
 Aruba/Curaçao1/<1nknknk
 Bahamas<105(1.4) in 20170
 Barbados<1nk9(2.4) in 20171
 British Virgin Islands<1nknknk
 Cayman Islands<1nknknk
 Cuba<10153(1.1) in 20170
 Dominica6nk1(1.9) in 20171
 Dominican Rep.20-0-13-0-122335(3) in 20173
 Grenada4nk2(1.7) in 20172
 Guadeloupe<1nknknk
 Haiti180-0-720-3777-13 6811720(13) in 20173
 Jamaica<1nk52(1.8) in 20171
 Martinique<1nk-0-0-0-0nk0
 Puerto Rico<1nk0-1(<0.1/105)-nk-nk-0, 86(1.8) in 20170
 St. Kitts1nknknk
 St. Lucia6nk6(3) in 20172
 St. Vincent and  Grenadines3nk3(3) in 20172
 Trinidad and Tobago<1nk1(<0.1) in 20170
 Turks and Caicos2nknknk
 US Virgin Islands<1nk2(1.2) in 20170
South
 Argentinank0nk-65(0.1)-5-6-71
 Bolivia100173(1.7) in 20172
 Brazil<104202(1.9) in 20171
 Chile<10nk-nk-nk-85(0.5)-101, 1934(4) in 20171
 Colombia30nk-nk-nk-136(0.3)-3712
 Ecuador<10247(1.5) in 20171
 French Guiana<10nk0
 Guyana<1019(3) in 20171
 Paraguay<10114(1.8) in 20171
 Peru40482(1.5) in 20172
 Suriname1nk12(2.1) in 20171
 Uruguay<1nk3(<0.1) in 20171
 Venezuela3025(<0.1) in 20172

aSanitation data from https://data.unicef.org/; cholera from8 and MoH, references and www.infective-continents.ch/; typhoid from7 for 2017, also MoH, references and www.infective-continents.ch/; i = imported; nk = not known.

Table 2

Risks from defecation, domestic cholera and Salmonella Typhi/Paratyphi—Americasa

Country% defecating in the open ≤ 2020Notified domestic cholera, 2021–20–19–18–17S. Typhi/Paratyphi ≥2015 or typhoid cases, 2019–18–17–16–15 (rate/105)Faecal score
North
 Canada<10-0(&2i)-0(&3i)-0-1(&3i)194(0.5)-190-190-127-1211
 Greenland<1nk0 in 20170
 USA<10-1(i?)-6(i?)-6(&8i)-2(&8i)-2(&9i)409(0.1)-401-419-376-367, & outbreak,23 carrier241
Centre mainland
 Belize<1012(3) in 20171
 Costa Rica<1010(0.2) in 20170
 El Salvador<10outbreak,25 144(2.4) in 20171
 Guatemala20outbreak,25 4045(29) in 20172
 Honduras40227(3) in 20172
 Mexico<10-0-1-1-028 680(22/105)-44 618-57 276-45 379-58 976, & outbreak252
 Nicaragua70181(3) in 20172
 Panama4075(1.9) in 20172
Caribbean
 Antigua and Barbuda<1nk1(1.5) in 20170
 Aruba/Curaçao1/<1nknknk
 Bahamas<105(1.4) in 20170
 Barbados<1nk9(2.4) in 20171
 British Virgin Islands<1nknknk
 Cayman Islands<1nknknk
 Cuba<10153(1.1) in 20170
 Dominica6nk1(1.9) in 20171
 Dominican Rep.20-0-13-0-122335(3) in 20173
 Grenada4nk2(1.7) in 20172
 Guadeloupe<1nknknk
 Haiti180-0-720-3777-13 6811720(13) in 20173
 Jamaica<1nk52(1.8) in 20171
 Martinique<1nk-0-0-0-0nk0
 Puerto Rico<1nk0-1(<0.1/105)-nk-nk-0, 86(1.8) in 20170
 St. Kitts1nknknk
 St. Lucia6nk6(3) in 20172
 St. Vincent and  Grenadines3nk3(3) in 20172
 Trinidad and Tobago<1nk1(<0.1) in 20170
 Turks and Caicos2nknknk
 US Virgin Islands<1nk2(1.2) in 20170
South
 Argentinank0nk-65(0.1)-5-6-71
 Bolivia100173(1.7) in 20172
 Brazil<104202(1.9) in 20171
 Chile<10nk-nk-nk-85(0.5)-101, 1934(4) in 20171
 Colombia30nk-nk-nk-136(0.3)-3712
 Ecuador<10247(1.5) in 20171
 French Guiana<10nk0
 Guyana<1019(3) in 20171
 Paraguay<10114(1.8) in 20171
 Peru40482(1.5) in 20172
 Suriname1nk12(2.1) in 20171
 Uruguay<1nk3(<0.1) in 20171
 Venezuela3025(<0.1) in 20172
Country% defecating in the open ≤ 2020Notified domestic cholera, 2021–20–19–18–17S. Typhi/Paratyphi ≥2015 or typhoid cases, 2019–18–17–16–15 (rate/105)Faecal score
North
 Canada<10-0(&2i)-0(&3i)-0-1(&3i)194(0.5)-190-190-127-1211
 Greenland<1nk0 in 20170
 USA<10-1(i?)-6(i?)-6(&8i)-2(&8i)-2(&9i)409(0.1)-401-419-376-367, & outbreak,23 carrier241
Centre mainland
 Belize<1012(3) in 20171
 Costa Rica<1010(0.2) in 20170
 El Salvador<10outbreak,25 144(2.4) in 20171
 Guatemala20outbreak,25 4045(29) in 20172
 Honduras40227(3) in 20172
 Mexico<10-0-1-1-028 680(22/105)-44 618-57 276-45 379-58 976, & outbreak252
 Nicaragua70181(3) in 20172
 Panama4075(1.9) in 20172
Caribbean
 Antigua and Barbuda<1nk1(1.5) in 20170
 Aruba/Curaçao1/<1nknknk
 Bahamas<105(1.4) in 20170
 Barbados<1nk9(2.4) in 20171
 British Virgin Islands<1nknknk
 Cayman Islands<1nknknk
 Cuba<10153(1.1) in 20170
 Dominica6nk1(1.9) in 20171
 Dominican Rep.20-0-13-0-122335(3) in 20173
 Grenada4nk2(1.7) in 20172
 Guadeloupe<1nknknk
 Haiti180-0-720-3777-13 6811720(13) in 20173
 Jamaica<1nk52(1.8) in 20171
 Martinique<1nk-0-0-0-0nk0
 Puerto Rico<1nk0-1(<0.1/105)-nk-nk-0, 86(1.8) in 20170
 St. Kitts1nknknk
 St. Lucia6nk6(3) in 20172
 St. Vincent and  Grenadines3nk3(3) in 20172
 Trinidad and Tobago<1nk1(<0.1) in 20170
 Turks and Caicos2nknknk
 US Virgin Islands<1nk2(1.2) in 20170
South
 Argentinank0nk-65(0.1)-5-6-71
 Bolivia100173(1.7) in 20172
 Brazil<104202(1.9) in 20171
 Chile<10nk-nk-nk-85(0.5)-101, 1934(4) in 20171
 Colombia30nk-nk-nk-136(0.3)-3712
 Ecuador<10247(1.5) in 20171
 French Guiana<10nk0
 Guyana<1019(3) in 20171
 Paraguay<10114(1.8) in 20171
 Peru40482(1.5) in 20172
 Suriname1nk12(2.1) in 20171
 Uruguay<1nk3(<0.1) in 20171
 Venezuela3025(<0.1) in 20172

aSanitation data from https://data.unicef.org/; cholera from8 and MoH, references and www.infective-continents.ch/; typhoid from7 for 2017, also MoH, references and www.infective-continents.ch/; i = imported; nk = not known.

Table 3

Risks from defecation, domestic cholera and Salmonella Typhi/Paratyphi–Asiaa

Country% defecating in the open ≤ 2020Notified domestic cholera, 2021–20–19–18–17S. Typhi/Paratyphi ≥2015 or typhoid cases, 2019–18–17–16–15 (rate/105)Faecal score
West
 Armenia<1nk-nk-0-0-04(0.1) in 20170
 Azerbaijan<1nk-nk-0-0-011(0.1) in 20170
 Bahrain<10(&2i)-0-0-0-0nk-nk-nk-nk-11(0.8), 291(23) in 20171
 Georgia<1nk-nk-0-0-06(0.1) in 20170
 Iran<10-1-2-6(&1i)-9(&625i)16 688(22) in 20172
 Iraq<10-9-0-3-nk23 183(47) in 20172
 Israel<1nk-4(i?)-0-1(i?)-04(<0.1)-13-5-8-50
 Jordan<1013(0.1)-8-29-7-100
 Kazakhstan<1nk-nk-0-0-019(0.1) in 20170
 Kuwait<10-nk-0-0-0764(20) in 20171
 Kyrgyzstan<1nk7(0.1) in 20170
 Lebanon<10-nk-0-0-02731(30) in 20171
 Oman<10(&5i)-0-0(&4i)-0(&1i)-01180(28) in 20171
 Palestine<10-0-nk-0-nk3149(56) in 20171
 Qatar<10-0-0-0(&5i)-0(&5i)514(22) in 20171
 Saudi Arabia<10-0-0-0-0(&5i)nk-nk-nk-164(0.5)-149, 8854(27) in 20171
 Syria<105487(26) in 20171
 Tajikistan<1nk9 (0.1) in 20170
 Türkiye<1nk23 025(30) in 20171
 Turkmenistan<1nk6(0.1) in 20170
 United Arab Emirates<10(&153i)-0(&13i)-0-0-0(&12i)1702(23) in 20171
 Uzbekistan<1nk-nk-0-0-025(<0.1) in 20170
 Yemen1072 765-275 712-861 096-371 326-1 032 48130 051(83) in 20173
South-Centre
 Afghanistan114755-0-2-0-3342 756(104) in 20173
 Bangladesh<1477-212-503-566-nk1 046 157(641) in 20172
 Bhutan<10-0-0-0-nk1419(145) in 20171
 India15risk-70-nk-697-3858 365 375(586) in 2017, outbreak,26 fever273
 Maldives<10335(77) in 20171
 Nepal101607(&2i)-0-0-7-7145 455(449) in 20173
 Pakistan721-21-nk-nk-nk727 834(295) in 2017, vaccine trial283
 Sri Lanka<10-nk-nk-0-033 298(166) in 20171
South-East
 Brunei3nk-nk-0-0-00 in 20171
 Cambodia1926-48-nk-nk-036 172(212) in 2017, fever293
 Indonesia60-0-0-0-nk698 419(273) in 20172
 Laos160-nk-nk-nk-016 767(221) in 20172
 Malaysia<163(&1i)-risk-81-164(&1i)-235 144 (116) in 20172
 Myanmar70-risk-0-0-0141 588(267) in 20172
 Philippines42019-3-5491-2102-134154 353(140) in 20173
 Singapore<1nk-0-0(&2i)-0(&2i)-0(&3i)nk-4(<0.1&55i)-4(&77i)-14(&56i)-8(&68i)0
 Thailand<11-7-12-6-8fever,30 156,196(280) in 20172
 Timor-Leste1802435(160) in 20172
 Vietnam30-0-nk-nk-0137 599(155) in 20172
East
 China<15-11-15(&1i)-nk-14569 618(52) in 2017, outbreak312
 Japan<10-1-0(&5i)-3(&1i)-2(&5i)58(<0.1)-58-51-71-670
 Korea, North<1nk-0-0-0-04984(22) in 20171
 Korea, South<10-0-0(&1i)-0(&2i)-0(&5i)159(0.3)-260-201-177-1650
 Mongolia80-nk-nk-nk-05 (0.2) in 20171
 Taiwannknk-1-0-7-0(&1i)6(<0.1 &26i)-22-22-18-351
Country% defecating in the open ≤ 2020Notified domestic cholera, 2021–20–19–18–17S. Typhi/Paratyphi ≥2015 or typhoid cases, 2019–18–17–16–15 (rate/105)Faecal score
West
 Armenia<1nk-nk-0-0-04(0.1) in 20170
 Azerbaijan<1nk-nk-0-0-011(0.1) in 20170
 Bahrain<10(&2i)-0-0-0-0nk-nk-nk-nk-11(0.8), 291(23) in 20171
 Georgia<1nk-nk-0-0-06(0.1) in 20170
 Iran<10-1-2-6(&1i)-9(&625i)16 688(22) in 20172
 Iraq<10-9-0-3-nk23 183(47) in 20172
 Israel<1nk-4(i?)-0-1(i?)-04(<0.1)-13-5-8-50
 Jordan<1013(0.1)-8-29-7-100
 Kazakhstan<1nk-nk-0-0-019(0.1) in 20170
 Kuwait<10-nk-0-0-0764(20) in 20171
 Kyrgyzstan<1nk7(0.1) in 20170
 Lebanon<10-nk-0-0-02731(30) in 20171
 Oman<10(&5i)-0-0(&4i)-0(&1i)-01180(28) in 20171
 Palestine<10-0-nk-0-nk3149(56) in 20171
 Qatar<10-0-0-0(&5i)-0(&5i)514(22) in 20171
 Saudi Arabia<10-0-0-0-0(&5i)nk-nk-nk-164(0.5)-149, 8854(27) in 20171
 Syria<105487(26) in 20171
 Tajikistan<1nk9 (0.1) in 20170
 Türkiye<1nk23 025(30) in 20171
 Turkmenistan<1nk6(0.1) in 20170
 United Arab Emirates<10(&153i)-0(&13i)-0-0-0(&12i)1702(23) in 20171
 Uzbekistan<1nk-nk-0-0-025(<0.1) in 20170
 Yemen1072 765-275 712-861 096-371 326-1 032 48130 051(83) in 20173
South-Centre
 Afghanistan114755-0-2-0-3342 756(104) in 20173
 Bangladesh<1477-212-503-566-nk1 046 157(641) in 20172
 Bhutan<10-0-0-0-nk1419(145) in 20171
 India15risk-70-nk-697-3858 365 375(586) in 2017, outbreak,26 fever273
 Maldives<10335(77) in 20171
 Nepal101607(&2i)-0-0-7-7145 455(449) in 20173
 Pakistan721-21-nk-nk-nk727 834(295) in 2017, vaccine trial283
 Sri Lanka<10-nk-nk-0-033 298(166) in 20171
South-East
 Brunei3nk-nk-0-0-00 in 20171
 Cambodia1926-48-nk-nk-036 172(212) in 2017, fever293
 Indonesia60-0-0-0-nk698 419(273) in 20172
 Laos160-nk-nk-nk-016 767(221) in 20172
 Malaysia<163(&1i)-risk-81-164(&1i)-235 144 (116) in 20172
 Myanmar70-risk-0-0-0141 588(267) in 20172
 Philippines42019-3-5491-2102-134154 353(140) in 20173
 Singapore<1nk-0-0(&2i)-0(&2i)-0(&3i)nk-4(<0.1&55i)-4(&77i)-14(&56i)-8(&68i)0
 Thailand<11-7-12-6-8fever,30 156,196(280) in 20172
 Timor-Leste1802435(160) in 20172
 Vietnam30-0-nk-nk-0137 599(155) in 20172
East
 China<15-11-15(&1i)-nk-14569 618(52) in 2017, outbreak312
 Japan<10-1-0(&5i)-3(&1i)-2(&5i)58(<0.1)-58-51-71-670
 Korea, North<1nk-0-0-0-04984(22) in 20171
 Korea, South<10-0-0(&1i)-0(&2i)-0(&5i)159(0.3)-260-201-177-1650
 Mongolia80-nk-nk-nk-05 (0.2) in 20171
 Taiwannknk-1-0-7-0(&1i)6(<0.1 &26i)-22-22-18-351

aSanitation from https://data.unicef.org/; cholera from8 and MoH, references and www.infective-continents.ch/; typhoid from7 for 2017, also MoH, references and www.infective-continents.ch/; i = imported, nk = not known.

Table 3

Risks from defecation, domestic cholera and Salmonella Typhi/Paratyphi–Asiaa

Country% defecating in the open ≤ 2020Notified domestic cholera, 2021–20–19–18–17S. Typhi/Paratyphi ≥2015 or typhoid cases, 2019–18–17–16–15 (rate/105)Faecal score
West
 Armenia<1nk-nk-0-0-04(0.1) in 20170
 Azerbaijan<1nk-nk-0-0-011(0.1) in 20170
 Bahrain<10(&2i)-0-0-0-0nk-nk-nk-nk-11(0.8), 291(23) in 20171
 Georgia<1nk-nk-0-0-06(0.1) in 20170
 Iran<10-1-2-6(&1i)-9(&625i)16 688(22) in 20172
 Iraq<10-9-0-3-nk23 183(47) in 20172
 Israel<1nk-4(i?)-0-1(i?)-04(<0.1)-13-5-8-50
 Jordan<1013(0.1)-8-29-7-100
 Kazakhstan<1nk-nk-0-0-019(0.1) in 20170
 Kuwait<10-nk-0-0-0764(20) in 20171
 Kyrgyzstan<1nk7(0.1) in 20170
 Lebanon<10-nk-0-0-02731(30) in 20171
 Oman<10(&5i)-0-0(&4i)-0(&1i)-01180(28) in 20171
 Palestine<10-0-nk-0-nk3149(56) in 20171
 Qatar<10-0-0-0(&5i)-0(&5i)514(22) in 20171
 Saudi Arabia<10-0-0-0-0(&5i)nk-nk-nk-164(0.5)-149, 8854(27) in 20171
 Syria<105487(26) in 20171
 Tajikistan<1nk9 (0.1) in 20170
 Türkiye<1nk23 025(30) in 20171
 Turkmenistan<1nk6(0.1) in 20170
 United Arab Emirates<10(&153i)-0(&13i)-0-0-0(&12i)1702(23) in 20171
 Uzbekistan<1nk-nk-0-0-025(<0.1) in 20170
 Yemen1072 765-275 712-861 096-371 326-1 032 48130 051(83) in 20173
South-Centre
 Afghanistan114755-0-2-0-3342 756(104) in 20173
 Bangladesh<1477-212-503-566-nk1 046 157(641) in 20172
 Bhutan<10-0-0-0-nk1419(145) in 20171
 India15risk-70-nk-697-3858 365 375(586) in 2017, outbreak,26 fever273
 Maldives<10335(77) in 20171
 Nepal101607(&2i)-0-0-7-7145 455(449) in 20173
 Pakistan721-21-nk-nk-nk727 834(295) in 2017, vaccine trial283
 Sri Lanka<10-nk-nk-0-033 298(166) in 20171
South-East
 Brunei3nk-nk-0-0-00 in 20171
 Cambodia1926-48-nk-nk-036 172(212) in 2017, fever293
 Indonesia60-0-0-0-nk698 419(273) in 20172
 Laos160-nk-nk-nk-016 767(221) in 20172
 Malaysia<163(&1i)-risk-81-164(&1i)-235 144 (116) in 20172
 Myanmar70-risk-0-0-0141 588(267) in 20172
 Philippines42019-3-5491-2102-134154 353(140) in 20173
 Singapore<1nk-0-0(&2i)-0(&2i)-0(&3i)nk-4(<0.1&55i)-4(&77i)-14(&56i)-8(&68i)0
 Thailand<11-7-12-6-8fever,30 156,196(280) in 20172
 Timor-Leste1802435(160) in 20172
 Vietnam30-0-nk-nk-0137 599(155) in 20172
East
 China<15-11-15(&1i)-nk-14569 618(52) in 2017, outbreak312
 Japan<10-1-0(&5i)-3(&1i)-2(&5i)58(<0.1)-58-51-71-670
 Korea, North<1nk-0-0-0-04984(22) in 20171
 Korea, South<10-0-0(&1i)-0(&2i)-0(&5i)159(0.3)-260-201-177-1650
 Mongolia80-nk-nk-nk-05 (0.2) in 20171
 Taiwannknk-1-0-7-0(&1i)6(<0.1 &26i)-22-22-18-351
Country% defecating in the open ≤ 2020Notified domestic cholera, 2021–20–19–18–17S. Typhi/Paratyphi ≥2015 or typhoid cases, 2019–18–17–16–15 (rate/105)Faecal score
West
 Armenia<1nk-nk-0-0-04(0.1) in 20170
 Azerbaijan<1nk-nk-0-0-011(0.1) in 20170
 Bahrain<10(&2i)-0-0-0-0nk-nk-nk-nk-11(0.8), 291(23) in 20171
 Georgia<1nk-nk-0-0-06(0.1) in 20170
 Iran<10-1-2-6(&1i)-9(&625i)16 688(22) in 20172
 Iraq<10-9-0-3-nk23 183(47) in 20172
 Israel<1nk-4(i?)-0-1(i?)-04(<0.1)-13-5-8-50
 Jordan<1013(0.1)-8-29-7-100
 Kazakhstan<1nk-nk-0-0-019(0.1) in 20170
 Kuwait<10-nk-0-0-0764(20) in 20171
 Kyrgyzstan<1nk7(0.1) in 20170
 Lebanon<10-nk-0-0-02731(30) in 20171
 Oman<10(&5i)-0-0(&4i)-0(&1i)-01180(28) in 20171
 Palestine<10-0-nk-0-nk3149(56) in 20171
 Qatar<10-0-0-0(&5i)-0(&5i)514(22) in 20171
 Saudi Arabia<10-0-0-0-0(&5i)nk-nk-nk-164(0.5)-149, 8854(27) in 20171
 Syria<105487(26) in 20171
 Tajikistan<1nk9 (0.1) in 20170
 Türkiye<1nk23 025(30) in 20171
 Turkmenistan<1nk6(0.1) in 20170
 United Arab Emirates<10(&153i)-0(&13i)-0-0-0(&12i)1702(23) in 20171
 Uzbekistan<1nk-nk-0-0-025(<0.1) in 20170
 Yemen1072 765-275 712-861 096-371 326-1 032 48130 051(83) in 20173
South-Centre
 Afghanistan114755-0-2-0-3342 756(104) in 20173
 Bangladesh<1477-212-503-566-nk1 046 157(641) in 20172
 Bhutan<10-0-0-0-nk1419(145) in 20171
 India15risk-70-nk-697-3858 365 375(586) in 2017, outbreak,26 fever273
 Maldives<10335(77) in 20171
 Nepal101607(&2i)-0-0-7-7145 455(449) in 20173
 Pakistan721-21-nk-nk-nk727 834(295) in 2017, vaccine trial283
 Sri Lanka<10-nk-nk-0-033 298(166) in 20171
South-East
 Brunei3nk-nk-0-0-00 in 20171
 Cambodia1926-48-nk-nk-036 172(212) in 2017, fever293
 Indonesia60-0-0-0-nk698 419(273) in 20172
 Laos160-nk-nk-nk-016 767(221) in 20172
 Malaysia<163(&1i)-risk-81-164(&1i)-235 144 (116) in 20172
 Myanmar70-risk-0-0-0141 588(267) in 20172
 Philippines42019-3-5491-2102-134154 353(140) in 20173
 Singapore<1nk-0-0(&2i)-0(&2i)-0(&3i)nk-4(<0.1&55i)-4(&77i)-14(&56i)-8(&68i)0
 Thailand<11-7-12-6-8fever,30 156,196(280) in 20172
 Timor-Leste1802435(160) in 20172
 Vietnam30-0-nk-nk-0137 599(155) in 20172
East
 China<15-11-15(&1i)-nk-14569 618(52) in 2017, outbreak312
 Japan<10-1-0(&5i)-3(&1i)-2(&5i)58(<0.1)-58-51-71-670
 Korea, North<1nk-0-0-0-04984(22) in 20171
 Korea, South<10-0-0(&1i)-0(&2i)-0(&5i)159(0.3)-260-201-177-1650
 Mongolia80-nk-nk-nk-05 (0.2) in 20171
 Taiwannknk-1-0-7-0(&1i)6(<0.1 &26i)-22-22-18-351

aSanitation from https://data.unicef.org/; cholera from8 and MoH, references and www.infective-continents.ch/; typhoid from7 for 2017, also MoH, references and www.infective-continents.ch/; i = imported, nk = not known.

Table 4

Risks from defecation, domestic cholera and Salmonella Typhi/Paratyphi—Oceaniaa

Country% defecating in the open ≤ 2020Notified domestic cholera, 2021–20–19–18–17S. Typhi/Paratyphi ≥2015 or typhoid cases, 2019–18–17–16–15 (rate/105)Faecal score
American Samoa<1nk0-0-nk-nk-00
Australia<10(1i)-0-0(&2i)-0-0(&3i)161(0.6)-175-144-104-1140
Cook Islandsnknk-0-nk-nk-nknknk
Easter Islandnknknknk
Federated Micronesiank088(77) in 20171
Fiji<1nk-0-nk-nk-0nk-nk-nk-390(45)-4231
French Polynesia<1nknknk
Galapagos Islandsnknknknk
Guam<1080(50) in 20171
Hawaiink02(0.1)-1-0-3-40
Kiribati30nk-0-nk-nk-0170(129) in 20172
Marshall Islands100Endemic,23 53(85) in 20172
Nauru3nk-0-nk-nk-0nk1
New Zealand<10-0-0-0(&1i)-0nk-72(1.5)-107-70-770
New Caledonia<1nknknk
Palau<10-0-nk-nk-0nk0
Papua New Guinea16016 850(161) in 20172
Samoa<1nk-0-nk-nk-0168(75) in 20171
Solomon Is45nk-0-nk-nk-0848(114) in 20172
Tonga<1095(156) 20171
Tuvalu90nk1
Vanuatu<10-0-nk-nk-0441(403) 20171
Wallis and Futuna Islands7nknknk
Country% defecating in the open ≤ 2020Notified domestic cholera, 2021–20–19–18–17S. Typhi/Paratyphi ≥2015 or typhoid cases, 2019–18–17–16–15 (rate/105)Faecal score
American Samoa<1nk0-0-nk-nk-00
Australia<10(1i)-0-0(&2i)-0-0(&3i)161(0.6)-175-144-104-1140
Cook Islandsnknk-0-nk-nk-nknknk
Easter Islandnknknknk
Federated Micronesiank088(77) in 20171
Fiji<1nk-0-nk-nk-0nk-nk-nk-390(45)-4231
French Polynesia<1nknknk
Galapagos Islandsnknknknk
Guam<1080(50) in 20171
Hawaiink02(0.1)-1-0-3-40
Kiribati30nk-0-nk-nk-0170(129) in 20172
Marshall Islands100Endemic,23 53(85) in 20172
Nauru3nk-0-nk-nk-0nk1
New Zealand<10-0-0-0(&1i)-0nk-72(1.5)-107-70-770
New Caledonia<1nknknk
Palau<10-0-nk-nk-0nk0
Papua New Guinea16016 850(161) in 20172
Samoa<1nk-0-nk-nk-0168(75) in 20171
Solomon Is45nk-0-nk-nk-0848(114) in 20172
Tonga<1095(156) 20171
Tuvalu90nk1
Vanuatu<10-0-nk-nk-0441(403) 20171
Wallis and Futuna Islands7nknknk

aSanitation from https://data.unicef.org/; cholera from8 and MoH, references and www.infective-continents.ch/; typhoid from7 for 2017, also MoH, references and www.infective-continents.ch/; i = imported, nk = not known.

Table 4

Risks from defecation, domestic cholera and Salmonella Typhi/Paratyphi—Oceaniaa

Country% defecating in the open ≤ 2020Notified domestic cholera, 2021–20–19–18–17S. Typhi/Paratyphi ≥2015 or typhoid cases, 2019–18–17–16–15 (rate/105)Faecal score
American Samoa<1nk0-0-nk-nk-00
Australia<10(1i)-0-0(&2i)-0-0(&3i)161(0.6)-175-144-104-1140
Cook Islandsnknk-0-nk-nk-nknknk
Easter Islandnknknknk
Federated Micronesiank088(77) in 20171
Fiji<1nk-0-nk-nk-0nk-nk-nk-390(45)-4231
French Polynesia<1nknknk
Galapagos Islandsnknknknk
Guam<1080(50) in 20171
Hawaiink02(0.1)-1-0-3-40
Kiribati30nk-0-nk-nk-0170(129) in 20172
Marshall Islands100Endemic,23 53(85) in 20172
Nauru3nk-0-nk-nk-0nk1
New Zealand<10-0-0-0(&1i)-0nk-72(1.5)-107-70-770
New Caledonia<1nknknk
Palau<10-0-nk-nk-0nk0
Papua New Guinea16016 850(161) in 20172
Samoa<1nk-0-nk-nk-0168(75) in 20171
Solomon Is45nk-0-nk-nk-0848(114) in 20172
Tonga<1095(156) 20171
Tuvalu90nk1
Vanuatu<10-0-nk-nk-0441(403) 20171
Wallis and Futuna Islands7nknknk
Country% defecating in the open ≤ 2020Notified domestic cholera, 2021–20–19–18–17S. Typhi/Paratyphi ≥2015 or typhoid cases, 2019–18–17–16–15 (rate/105)Faecal score
American Samoa<1nk0-0-nk-nk-00
Australia<10(1i)-0-0(&2i)-0-0(&3i)161(0.6)-175-144-104-1140
Cook Islandsnknk-0-nk-nk-nknknk
Easter Islandnknknknk
Federated Micronesiank088(77) in 20171
Fiji<1nk-0-nk-nk-0nk-nk-nk-390(45)-4231
French Polynesia<1nknknk
Galapagos Islandsnknknknk
Guam<1080(50) in 20171
Hawaiink02(0.1)-1-0-3-40
Kiribati30nk-0-nk-nk-0170(129) in 20172
Marshall Islands100Endemic,23 53(85) in 20172
Nauru3nk-0-nk-nk-0nk1
New Zealand<10-0-0-0(&1i)-0nk-72(1.5)-107-70-770
New Caledonia<1nknknk
Palau<10-0-nk-nk-0nk0
Papua New Guinea16016 850(161) in 20172
Samoa<1nk-0-nk-nk-0168(75) in 20171
Solomon Is45nk-0-nk-nk-0848(114) in 20172
Tonga<1095(156) 20171
Tuvalu90nk1
Vanuatu<10-0-nk-nk-0441(403) 20171
Wallis and Futuna Islands7nknknk

aSanitation from https://data.unicef.org/; cholera from8 and MoH, references and www.infective-continents.ch/; typhoid from7 for 2017, also MoH, references and www.infective-continents.ch/; i = imported, nk = not known.

Overall, 214 countries or territories from 14 regions and 5 continents were searched for target data as described elsewhere (www.infective-continents.ch). Of these countries (and regions), 57 (and 4) were in Africa, 45 (and 4) in the Americas, 48 (and 4) in Asia, 23 in Oceania and 41 (and 2) in Europe. Calculations were performed on Microsoft Excel (version 16.66.1) by Microsoft Corporation. No formal statistical analyses were done.

Principles of the scoring system

Using traffic lights (red–yellow–green) as a model, the risk of faecal–oral transmission was scored in three broad groups, i.e. 3 (red) for high risk (‘unsafe’), 1–2 (yellow) for moderate risk (‘dubious’) and 0 (green) for minimal risk (‘negligible’). The score represents a simple addition of three items, i.e. defecation in the open, domestic cholera and endemic typhoid/paratyphoid infection risk.

‘Defecation in the open’ was scored 1 if the national prevalence of defecation in the open was > 1% in 2020. If the prevalence was < 1%, the score allocated was 0.

‘Domestic cholera’ was scored 1 if there was ≥1 notified domestic case in the period between 2021 and 2017, or 0 if domestic cholera was not reported. Imported cholera was not counted. Cholera is internationally notified, and cases are readily confirmed by laboratory tests and epidemiologic links. A rapid diagnostic test is available for V. cholerae, although cultures from faeces, blood or other clinical materials are still the gold standard in the diagnosis of cholera.

Finally, ‘typhoid/paratyphoid infection risk’ was scored 1 if there have been any outbreaks since 2015, if S. Typhi or SP has been laboratory-confirmed since 2019, or if the notification rate exceeded 2/105 in any year between 2015 and 2019 (this rate is the upper limit of typhoid notifications in high-income countries). In all other situations, typhoid/paratyphoid infection risk was scored 0. Typhoid fever is not under international surveillance and cases can be difficult to confirm,15 particularly in resource-limited settings with an increased risk of underreporting or misclassification. While rapid diagnostic tests are becoming available, culture or nucleic acid tests remain the laboratory gold standard for diagnosis. Here, the endemic rate for typhoid fever was set at > 2/105; other cutoffs are annual rates of < 10/105, 17 < 15/1057 or < 20/105. Countries for which no data for at least two of the three risk items were available were discarded from the ranking.

Results

For 199 (93%) of 214 countries examined, data were available for risk scoring (Tables 15 and Supplementary Table S2). Worldwide, 38 countries (19%) had a high risk faecal–oral transmission (Score 3), implying that open defecation is practiced by > 1% of the population, domestic cholera had occurred in the period of 2017 to 2021, and endemic typhoid (rate > 2/105/year) was recorded in the period of 2015 to 2019. Risk was moderate (1 or 2) in 93 (47%) countries and minimal (0) in 68 (34%) countries.

As expected, risk varied strongly among the continents. As shown in Table 5 and Figure 1 (Map), the percentage of countries scoring 3 was highest in Africa (53%) and lowest in Oceania (0%) and Europe (0%). The opposite was true for minimal risks: Score 0 was found for only 2 (4%) countries in Africa (Canary Islands and Madeira), but 10 (26%) countries in the Americas (Antigua & Barbuda, Bahamas, Costa Rica, Cuba, Greenland, French Guiana, Martinique, Puerto Rico, Trinidad & Tobago and US Virgin Islands), 13 (27%) countries in Asia, 5 (29%) countries in Oceania (American Samoa, Australia, Hawaii, New Zealand and Palau) and 38 (95%) countries in Europe. In Europe, only two countries (Bosnia & Herzegovina and Bulgaria) reached a score of 1.

Discussion

For 199 of 214 (93%) countries, at least partial data were available for this analysis, suggesting widespread awareness of the risk of faecal–oral transmission. Risk in continents roughly correlates with traveller’s diarrhoea which amounts to > 20% in most of Africa but < 8% in North America (Canada, Greenland, USA) and much of Europe, and Australia.18 Similar gradients are observed for cholera8 and typhoid fever.7 Of 150 cholera cases in travellers returning to North America and Europe in 1990–2018, 91 were imported from Latin America, 50 from West-, Southcentral- and Southeast Asia and 8 from sub-Saharan Africa (place of acquisition was unknown in 1).6 From 923 typhoid notifications in Australia in 2010–17, 887 were acquired overseas, for rates/105 person-years of 243 from South and Central Asia, 15 from Oceania, 0.4–10 in the rest of Asia, 9 from sub-Saharan Africa, 2% from Eastern Europe and 0.3% from Central America.5 However, prospective studies of attack rates for traveller’s diarrhoea are scant, and a correlation with the risk score at country level is not feasible. Part of this scarcity is perhaps explained by low attack rates among tourists staying at high-end resorts.

Prevention of gastrointestinal infection depends on safe consumption of tap water and foods, proper disposal and treatment of human excretions including maintenance of facilities, health education, in particular hand washing, availability of vaccines against cholera and typhoid fever in outbreaks and endemic areas, the rapid recognition and treatment of cases, and active surveillance.2,3,9–14 The score should help promote the prevention of water- and food-borne illness. Travellers, expatriates and local people in Score 3 countries should be informed that tap water and cold beverages are unsuitable for drinking. Instead, water should be boiled or bottled for drinking, and hot drinks should be preferred to iced drinks. In countries with Scores 1–2, tap water should be consumed only in metropolitan areas. In rural areas or in places where the source of the water is doubtful or of poor quality (foul odour or turbidity) suggesting faecal contamination, the water should not be consumed. The smelly odour should not be confused with the smell of high chlorine concentrations in water. In countries with minimal risk (0), tap water is usually safe for drinking, provided it is odourless and tasteless. Likewise, unopened beverages and foods from reliable sources should be safe.

Table 5

Risk of faecal–oral transmission: countries examined, countries scored and distribution of scores by continentsa

AfricaAmericasAsiaOceaniaEuropeWorld
CountriesWith data/examined55/5739/4548/4817/2340/41199//214
Score3, high risk (%)29 (52.7)2 (5.1)7 (14.6)0038 (19)
1 or 2, moderate risk (%)24 (43.6)27 (69.2)28 (58.3)12 (71)2 (5)93 (47)
0, minimal risk (%)2 (3.6)10 (25.6)13 (27.1)5 (29)38 (95)68 (34)
AfricaAmericasAsiaOceaniaEuropeWorld
CountriesWith data/examined55/5739/4548/4817/2340/41199//214
Score3, high risk (%)29 (52.7)2 (5.1)7 (14.6)0038 (19)
1 or 2, moderate risk (%)24 (43.6)27 (69.2)28 (58.3)12 (71)2 (5)93 (47)
0, minimal risk (%)2 (3.6)10 (25.6)13 (27.1)5 (29)38 (95)68 (34)

aBased on 199 countries scored (=100%).

Table 5

Risk of faecal–oral transmission: countries examined, countries scored and distribution of scores by continentsa

AfricaAmericasAsiaOceaniaEuropeWorld
CountriesWith data/examined55/5739/4548/4817/2340/41199//214
Score3, high risk (%)29 (52.7)2 (5.1)7 (14.6)0038 (19)
1 or 2, moderate risk (%)24 (43.6)27 (69.2)28 (58.3)12 (71)2 (5)93 (47)
0, minimal risk (%)2 (3.6)10 (25.6)13 (27.1)5 (29)38 (95)68 (34)
AfricaAmericasAsiaOceaniaEuropeWorld
CountriesWith data/examined55/5739/4548/4817/2340/41199//214
Score3, high risk (%)29 (52.7)2 (5.1)7 (14.6)0038 (19)
1 or 2, moderate risk (%)24 (43.6)27 (69.2)28 (58.3)12 (71)2 (5)93 (47)
0, minimal risk (%)2 (3.6)10 (25.6)13 (27.1)5 (29)38 (95)68 (34)

aBased on 199 countries scored (=100%).

Study strengths and limitations

A strength of this analysis is the large number of countries assessed and the use of three criteria that could be retrieved relatively easily. The scoring tool presented has several limitations.

A first limitation is the likely underrecognition, underreporting or misclassification of cholera and typhoid fever cases. This is particularly true for sub-Saharan Africa where there is little active surveillance of typhoid fever.7 An example in case is the unexpectedly low scores in Comoros. Irregular notification was partly remedied by including recent outbreak reports and population studies in the dataset (www.infective-continents.ch).

A second limitation is the rapidly changing epidemiological situation. This problem was addressed by including 5-year periods into the dataset. Moreover, human behaviour such as defecation in the open is likely to change only gradually.

A third limitation is that the score is crude and cannot exempt the customer from considering local risks of faecal–oral transmission even in Score 0 countries, for instance, remote locations depending on unsecure water sources or temporal disruption of municipal tap water.

Conclusion

This simple scoring system to assess the risk of gastrointestinal infection caused by faecal pathogens should help to minimize water- and food-borne illnesses (Table 5). Travellers, expatriates and residents should be made aware that tap water and cold beverages are unsuitable for drinking in Score 3 countries.

Acknowledgements

The author gratefully acknowledges the thorough review of the manuscript by Silvia Rogers, PhD, University of Basel and MediWrite, Basel (https://www.mediwrite.ch).

References

1.

Muzembo
 
BA
,
Kitahara
 
K
,
Mitra
 
D
 et al.  
Burden of Shigella in South Asia: a systematic review and meta-analysis
.
J Travel Med
 
2023
;
30
:1–13.

2.

Alberer
 
M
,
Moe
 
CL
,
Hatz
 
C
 et al.  
Norovirus acute gastroenteritis among US and European travellers to areas of moderate to high risk of travellers' diarrhoea: a prospective cohort study
.
J Travel Med
 
2023
.

3.

Pender
 
MA
,
Smith
 
T
,
Brintz
 
BJ
 et al.  
Weather variables as important clinical predictors of bacterial diarrhoea among international travellers
.
J Travel Med
 
2022
;
29
:1–7.

4.

Stürchler
 
DA
.
Exposure: A Guide to Sources of Infections
.
Washington, D.C.
:
ASM (American Society of Microbiology) Press
,
2006
.

5.

Forster
 
DP
,
Leder
 
K
.
Typhoid fever in travellers: estimating the risk of acquisition by country
.
J Travel Med
 
2021
;
28
:1–9.

6.

Connor
 
BA
,
Dawood
 
R
,
Riddle
 
MS
,
Hamer
 
DH
.
Cholera in travellers: a systematic review
.
J Travel Med
 
2019
;
26
:1–8.

7.

Collaborators.
 
The global burden of typhoid and paratyphoid fevers: a systematic analysis for the Global Burden of Disease Study 2017
.
Lancet Infect Dis
 
2019
;
19
:
369
81
.

8.

WHO
.
Cholera, 2021
.
Wkly Epidemiol Rec
 
2022
;
97
:
453
64
.

9.

DuPont
 
HL
,
Almenoff
 
JS
,
Jamindar
 
MS
,
Bortey
 
E
,
Steffen
 
R
.
Development of a new travellers' diarrhoea clinical severity classification and its utility in confirming Rifamycin-SV efficacy
.
J Travel Med
 
2023
.

10.

Adler
 
AV
,
Ciccotti
 
HR
,
Trivitt
 
SJH
,
Watson
 
RCJ
,
Riddle
 
MS
.
What's new in travellers' diarrhoea: updates on epidemiology, diagnostics, treatment and long-term consequences
.
J Travel Med
 
2022
;
29
:1–10.

11.

Tisdale
 
MD
,
Tribble
 
DR
,
Mitra
 
I
 et al.  
TaqMan array card testing of participant-collected stool smears to determine the pathogen-specific epidemiology of travellers' diarrhoea
.
J Travel Med
 
2022
;
29
.

12.

Kutsuna
 
S
,
Hayakawa
 
K
,
Mezaki
 
K
,
Yamamoto
 
K
,
Ohmagari
 
N
.
Spectrum of enteropathogens in cases of traveler's diarrhea that were detected using the FilmArray GI panel: new epidemiology in Japan
.
J Infect Chemother
 
2021
;
27
:
49
54
.

13.

Laaveri
 
T
,
Antikainen
 
J
,
Mero
 
S
 et al.  
Bacterial, viral and parasitic pathogens analysed by qPCR: findings from a prospective study of travellers' diarrhoea
.
Travel Med Infect Dis
 
2021
;
40
:101957, 1–8.

14.

Ashbaugh
 
HR
,
Early
 
JM
,
Johnson
 
ME
 et al.  
A multisite network assessment of the epidemiology and etiology of acquired diarrhea among U.S. military and western travelers (Global Travelers' Diarrhea Study): a principal role of norovirus among travelers with gastrointestinal illness
.
Am J Trop Med Hyg
 
2020
;
103
:
1855
63
.

15.

Manesh
 
A
,
Meltzer
 
E
,
Jin
 
C
 et al.  
Typhoid and paratyphoid fever: a clinical seminar
.
J Travel Med
 
2021
;
28
:1–13.

16.

Greenaway
 
C
,
Schofield
 
S
,
Henteleff
 
A
 et al.  
Summary of the statement on international travellers and typhoid by the Committee to Advise on Tropical Medicine and Travel (CATMAT)
.
Can Commun Dis Rep
 
2014
;
40
:
60
70
.

17.

Crump
 
JA
,
Luby
 
SP
,
Mintz
 
ED
.
The global burden of typhoid fever
.
Bull World Health Organ
 
2004
;
82
:
346
53
.

18.

Steffen
 
R
,
Hill
 
DR
,
DuPont
 
HL
.
Traveler's diarrhea: a clinical review
.
JAMA
 
2015
;
313
:
71
80
.

19.

Amoako
 
N
,
Duodu
 
S
,
Dennis
 
FE
 et al.  
Detection of dengue virus among children with suspected malaria, Accra, Ghana
.
Emerg Infect Dis
 
2018
;
24
:
1544
7
.

20.

Kabwama
 
SN
,
Bulage
 
L
,
Nsubuga
 
F
 et al.  
A large and persistent outbreak of typhoid fever caused by consuming contaminated water and street-vended beverages: Kampala, Uganda, January–June 2015
.
BMC Public Health
 
2017
;
17
:
23
.

21.

Makungo
 
UB
,
Ramutshila
 
TE
,
Mabotja
 
MC
 et al.  
Epidemiological investigation of a typhoid fever outbreak in Sekhukhune District, Limpopo province, South Africa - 2017
.
S Afr J Infect Dis
 
2020
;
35
:
107
.

22.

N'Cho
 
HS
,
Masunda
 
KPE
,
Mukeredzi
 
I
 et al.  
Typhoid fever outbreak - Harare, Zimbabwe, October 2017–February 2018
.
MMWR
 
2019
;
68
:
44
5
.

23.

Burnsed
 
LJ
,
Kovar
 
LD
,
Angelo
 
KM
 et al.  
Use of whole genome sequencing to complement characterisation of a typhoid fever outbreak among a Marshallese community: Oklahoma, 2015
.
Epidemiol Infect
 
2018
;
147
:e11, 1–7.

24.

Hancock-Allen
 
J
,
Cronquist
 
AB
,
Peden
 
J
,
Adamson
 
D
,
Corral
 
N
,
Brown
 
K
.
Typhoid fever outbreak associated with an asymptomatic carrier at a restaurant - Weld County, Colorado, 2015
.
MMWR
 
2016
;
65
:
606
7
.

25.

Bano-Zaidi
 
M
,
Aguayo-Romero
 
M
,
Campos
 
FD
 et al.  
Typhoid fever outbreak with severe complications in Yucatan, Mexico
.
Lancet Glob Health
 
2018
;
6
:
e1062
3
.

26.

Srinivasan
 
M
,
Sindhu
 
KN
,
Kumar
 
JS
 et al.  
Outbreak of typhoid fever in children of urban Vellore: a report from the surveillance for enteric fever in India cohort
.
Am J Trop Med Hyg
 
2022
;
107
:
82
5
.

27.

Sur
 
D
,
Barkume
 
C
,
Mukhopadhyay
 
B
,
Date
 
K
,
Ganguly
 
NK
,
Garrett
 
D
.
A retrospective review of hospital-based data on enteric fever in India, 2014-2015
.
J Infect Dis
 
2018
;
218(suppl_4)
:
S206
13
.

28.

Yousafzai
 
MT
,
Karim
 
S
,
Qureshi
 
S
 et al.  
Effectiveness of typhoid conjugate vaccine against culture-confirmed Salmonella enterica serotype Typhi in an extensively drug-resistant outbreak setting of Hyderabad, Pakistan: a cohort study
.
Lancet Glob Health
 
2021
;
9
:
e1154
62
.

29.

Fox-Lewis
 
A
,
Takata
 
J
,
Miliya
 
T
 et al.  
Antimicrobial resistance in invasive bacterial infections in hospitalized children, Cambodia, 2007-2016
.
Emerg Infect Dis
 
2018
;
24
:
841
51
.

30.

Laoprasopwattana
 
K
,
Limpitikul
 
W
,
Geater
 
A
.
Using clinical profiles and complete blood counts to differentiate causes of acute febrile illness during the 2009-11 outbreak of typhoid and chikungunya in a dengue endemic area
.
J Trop Pediatr
 
2020
;
66
:
504
10
.

31.

Hu
 
B
,
Hou
 
P
,
Teng
 
L
 et al.  
Genomic investigation reveals a community typhoid outbreak caused by contaminated drinking water in China, 2016
.
Front Med (Lausanne)
 
2022
;
9
:753085, 1–11.

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