Statistics for A spatial SEIR model for COVID-19 in South Africa
Total visits
| views | |
|---|---|
| A spatial SEIR model for COVID-19 in South Africa | 213 |
Total visits per month
| views | |
|---|---|
| July 2025 | 0 |
| August 2025 | 0 |
| September 2025 | 3 |
| October 2025 | 1 |
| November 2025 | 0 |
| December 2025 | 0 |
| January 2026 | 0 |
File Visits
| views | |
|---|---|
| RS_26364_A Spatial SEIR Model for COVID_19 in South Africa_Nov_2022.pdf | 191 |
Top country views
| views | |
|---|---|
| United States | 70 |
| South Africa | 32 |
| China | 25 |
| Austria | 15 |
| Russia | 6 |
| Vietnam | 6 |
| Germany | 5 |
| United Kingdom | 5 |
| India | 5 |
| Morocco | 5 |
| Canada | 4 |
| Hong Kong SAR China | 4 |
| France | 3 |
| Kenya | 3 |
| Australia | 2 |
| Bulgaria | 2 |
| South Korea | 2 |
| Turkey | 2 |
| Bangladesh | 1 |
| Belgium | 1 |
| Benin | 1 |
| Belize | 1 |
| Switzerland | 1 |
| Cameroon | 1 |
| Ireland | 1 |
| Iran | 1 |
| Italy | 1 |
| Malaysia | 1 |
| Mozambique | 1 |
| Nigeria | 1 |
| Saudi Arabia | 1 |
| Tunisia | 1 |
Top city views
| views | |
|---|---|
| Johannesburg | 10 |
| Vienna | 10 |
| Hanoi | 6 |
| Winston-Salem | 6 |
| Bengaluru | 5 |
| Casablanca | 5 |
| Boardman | 4 |
| Pretoria | 4 |
| Cape Town | 3 |
| Moscow | 3 |
| Akşehir | 2 |
| Chengdu | 2 |
| Council Bluffs | 2 |
| Durban | 2 |
| Gainesville | 2 |
| Hung Hom | 2 |
| Kempton Park | 2 |
| Nairobi | 2 |
| Phoenix | 2 |
| Port Elizabeth | 2 |
| Princeton | 2 |
| Secaucus | 2 |
| Shanghai | 2 |
| Springs | 2 |
| Toronto | 2 |
| Xiangfan | 2 |
| Ashburn | 1 |
| Atlanta | 1 |
| Balashikha | 1 |
| Beijing | 1 |
| Belmont | 1 |
| Brisbane | 1 |
| Broxburn | 1 |
| Cambridge | 1 |
| Centurion | 1 |
| Chicago | 1 |
| Cotonou | 1 |
| Del Norte | 1 |
| Dubna | 1 |
| El Sobrante | 1 |
| Glasgow | 1 |
| Heidelberg | 1 |
| Huancuilou | 1 |
| Jinan | 1 |
| Kassel | 1 |
| Katy | 1 |
| Klerksdorp | 1 |
| Lachine | 1 |
| London | 1 |
| Maitland | 1 |
| Mid Levels | 1 |
| Ningbo | 1 |
| Ningde | 1 |
| Piscataway | 1 |
| Richmond Hill | 1 |
| Riyadh | 1 |
| Sejong | 1 |
| Seongnam-si | 1 |
| Sham Tseng | 1 |
| Suleja | 1 |
| Yangjiaping | 1 |
| Zurich | 1 |